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Refined, processed metrics are stored in a serverless Aurora database.\"),_c('br'),_c('img',{attrs:{\"src\":require(\"@/assets/CSI_architecture.png\"),\"height\":\"400px\"}})])]),_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"How can I request changes or enhancements to DB CSI, or report any issues?\")]),_c('p'),_c('a',{attrs:{\"href\":\"mailto:dbayard@amazon.com\"}},[_vm._v(\"Click here for Suggestions or Feedback for Database CSI\")])])])],1)],1):_vm._e()],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }"," \n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./About.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./About.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./About.vue?vue&type=template&id=71672054\"\nimport script from \"./About.vue?vue&type=script&lang=js\"\nexport * from \"./About.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","\n\n\n\n\n","import mod from \"-!../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./App.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./App.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./App.vue?vue&type=template&id=2c1b3516\"\nimport script from \"./App.vue?vue&type=script&lang=js\"\nexport * from \"./App.vue?vue&type=script&lang=js\"\nimport style0 from \"./App.vue?vue&type=style&index=0&id=2c1b3516&prod&lang=css\"\n\n\n/* normalize component */\nimport normalizer from \"!../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('div',[(false)?_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal.whatsnew\",modifiers:{\"whatsnew\":true}}],attrs:{\"variant\":\"link\"}},[_vm._v(\"What's New\")]):_vm._e(),_c('b-modal',{attrs:{\"id\":\"whatsnew\",\"title\":\"What's New\",\"ok-only\":\"\",\"size\":\"xl\"}},[_c('div',[_c('b-list-group',[_c('b-list-group-item',[_vm._v(\"December 2022 - Added support for multiple scenarios in the Auto-Right-Sizer.\")]),_c('b-list-group-item',[_vm._v(\"November 2022 - Added gp3 support.\")]),_c('b-list-group-item',[_vm._v(\"August 2022 - Added multi-region support. Added support for RDS Custom pricing. Add cost-optimization arrows to the auto-right-sizer. Fixed issue with Aurora shape throughput values (thanks to Pini D and Jobin J).\")]),_c('b-list-group-item',[_vm._v(\"June 2022 - Improved PDB support. Added support for Tshapes in auto-right-sizer.\")]),_c('b-list-group-item',[_vm._v(\"May 2022 - Added support for collecting metrics from a PDB database. Added OLTP-DW and Exadata spectrum indicators to Auto-Right-Sizer.\")]),_c('b-list-group-item',[_vm._v(\"March 2022 - Added more help text. Bug fixes.\")]),_c('b-list-group-item',[_vm._v(\"January 2022 - Added sizing for OracleSE2 License Included. Fixed bug in aws_awr_miner.sql (thanks to Pini D).\")]),_c('b-list-group-item',[_vm._v(\"November 2021 - Aurora right-sizing now matches target Throughput to compute shape network throughput. Added Next Closest Match for RDS and Aurora shapes.\")]),_c('b-list-group-item',[_vm._v(\"October 2021 - Added choice of sizing/tuning adjustment assumptions when migrating from Exadata.\")]),_c('b-list-group-item',[_vm._v(\"September 2021 - Simplified the UI for the Auto-Right-Sizer. Added the ability to size for Aurora. Added suggestions for PostgreSQL and SE2 to the auto-right-sizer.\")]),_c('b-list-group-item',[_vm._v(\"July 2021 - Added Print button to the Show Config dialog in the Auto-Right-Sizer.\")]),_c('b-list-group-item',[_vm._v(\"June 2021 - Added ability to Auto-Right-Size individual databases.\")]),_c('b-list-group-item',[_vm._v(\"May 2021 - Added ability to share a batch of databases with other userids. Removed limitation of 1000 data points per chart (useful for databases with 15 minute AWR intervals).\")])],1)],1)])],1),_c('div',[_c('router-link',{attrs:{\"to\":{ name: 'Main'}}},[_vm._v(\"List\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Add'}}},[_vm._v(\"Add\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Profile' }}},[_vm._v(\"Share\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Shapes' }}},[_vm._v(\"ShapeBrowser\")])],1),_vm._v(\" Switch to the \"),_c('router-link',{attrs:{\"to\":{ name: 'BatchHome'}}},[_vm._v(\"batch list view\")]),_vm._v(\".\"),_c('br'),_c('br'),_vm._v(\" DB CSI is currently investigating \"+_vm._s(this.num_dbs)+\" unique databases from \"+_vm._s(this.num_customers)+\" customers. \"),_c('b-button',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.morefacts\",modifiers:{\"morefacts\":true}}],attrs:{\"variant\":\"link\"}},[_vm._v(\"Click here to see more facts.\")]),_c('b-collapse',{attrs:{\"id\":\"morefacts\"}},[_c('div',{attrs:{\"id\":\"demo\"}},[_c('b-container',{staticClass:\"bv-example-row\"},[_c('b-row',[_c('b-col',[_c('b-table',{staticClass:\"table table-sm\",attrs:{\"striped\":\"\",\"hover\":\"\",\"bordered\":\"\",\"fixed\":\"\",\"items\":_vm.platforms,\"fields\":_vm.platformfields}}),_c('br'),_c('b-table',{staticClass:\"table table-sm\",attrs:{\"striped\":\"\",\"hover\":\"\",\"bordered\":\"\",\"fixed\":\"\",\"items\":_vm.instances,\"fields\":_vm.instancefields}})],1),_c('b-col',[_c('b-table',{staticClass:\"table table-sm\",attrs:{\"striped\":\"\",\"hover\":\"\",\"bordered\":\"\",\"fixed\":\"\",\"items\":_vm.versions,\"fields\":_vm.versionfields}}),_c('br'),_c('b-table',{staticClass:\"table table-sm\",attrs:{\"striped\":\"\",\"hover\":\"\",\"bordered\":\"\",\"fixed\":\"\",\"items\":_vm.features,\"fields\":_vm.featurefields}})],1)],1)],1)],1)]),_c('div',[_c('b-form-select',{attrs:{\"options\":_vm.CustomerChoices},model:{value:(_vm.CustomerFilter),callback:function ($$v) {_vm.CustomerFilter=$$v},expression:\"CustomerFilter\"}}),_c('br'),_c('br')],1),(this.CustomerFilter != 'xxALL')?_c('router-link',{attrs:{\"to\":{ name: 'Batch', params: {batch_id: 'x'+_vm.stringToHex(this.CustomerFilter)} }}},[_vm._v(\"Auto-Right-Size all databases for \"+_vm._s(this.CustomerFilter))]):_vm._e(),_c('br'),_c('br'),_vm._l((_vm.collection_group_filtered),function(cgroup){return _c('b-card-group',{key:cgroup.group_id},_vm._l((cgroup.collection_list),function(item){return _c('b-card',{key:item.collection_id,attrs:{\"title\":item.db_name,\"sub-title\":item.customer}},[(item.collection_id>0)?_c('div',[_c('p',{staticClass:\"card-text\"},[_vm._v(\" \"+_vm._s(item.version)),(item.total_size!=undefined)?_c('span',[_vm._v(\", \"+_vm._s(item.total_size))]):_vm._e(),((item.script_ver != undefined && !( item.script_ver.includes('aws') || item.script_ver.includes('statspack') ) ))?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"16px\",\"title\":\"Warning: This looks like the generic non-DBCSI AWR Miner script was used to collect metrics. DBCSI works best if you use the DBCSI-specific data collection script downloadable from the DBCSI Add page. Some DBCSI functionality will be missing.\"}}):_vm._e(),_c('br'),_vm._v(\" \"+_vm._s(item.descr)+\" \"),_c('br'),_vm._v(\" Upload Date: \"+_vm._s(item.collection_date)+\" \"),_c('br'),_vm._v(\" Upload User: \"+_vm._s(item.upload_user)+\" \"),_c('br'),_vm._v(\" Status: \"+_vm._s(item.status)+\" \")]),((item.ec2_shape!=null && item.ec2_shape!='null' )||( item.rds_shape!=null && item.rds_shape!='null') ||( item.aurora_shape!=null && item.aurora_shape!='null'))?_c('b-card',{attrs:{\"title\":\"AWS Mapping\",\"bg-variant\":\"warning\"}},[(item.ec2_shape!='null')?_c('b-row',[_c('b-col',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"title\":item.ec2_summaryText}},[_vm._v(\" Re-host to EC2=\"+_vm._s(item.ec2_shape)+\" \")])],1):_vm._e(),(item.rds_shape!='null')?_c('b-row',[_c('b-col',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"title\":item.rds_summaryText}},[_vm._v(\" Re-platform to RDS=\"+_vm._s(item.rds_shape)+\" \")])],1):_vm._e(),(( item.aurora_shape!=null && item.aurora_shape!='null'))?_c('b-row',[_c('b-col',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"title\":item.aurora_summaryText}},[_vm._v(\" Re-architect to Aurora=\"+_vm._s(item.aurora_shape)+\" \")])],1):_vm._e()],1):_vm._e(),((item.status=='Ready'))?_c('router-link',{staticClass:\"card-link\",attrs:{\"to\":{ name: 'Batch', params: {batch_id: item.batch_id} }}},[_vm._v(\"Auto-Right-Size\")]):_vm._e(),_c('br'),((item.status=='Ready' && item.ec2_shape==null))?_c('router-link',{staticClass:\"card-link\",attrs:{\"to\":{ name: 'Metrics', params: {param_collection_id: item.collection_id, collection_type: 'ora_v1'} }}},[_vm._v(\"Manual-Right-Size(View Metrics)\")]):_vm._e(),((item.status.startsWith('Failed')))?_c('router-link',{staticClass:\"card-link\",attrs:{\"to\":{ name: 'Metrics', params: {param_collection_id: item.collection_id, collection_type: 'ora_v1'} }}},[_vm._v(\"Click here to delete\")]):_vm._e(),(item.status=='Ready' && item.ec2_shape!=null)?_c('router-link',{staticClass:\"card-link\",attrs:{\"to\":{ name: 'Metrics', params: {param_collection_id: item.collection_id, collection_type: 'ora_v1'} }}},[_vm._v(\"View Metrics/Mapping\")]):_vm._e(),_c('br'),((item.status=='Ready'))?_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal\",value:(`mGenInfo${item.collection_id}`),expression:\"`mGenInfo${item.collection_id}`\"}],attrs:{\"type\":\"button\",\"size\":\"sm\",\"variant\":\"link\",\"disabled\":item.collection_id==undefined}},[_vm._v(\"...\")]):_vm._e(),_c('b-modal',{attrs:{\"id\":`mGenInfo${item.collection_id}`,\"title\":\"Database 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staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('b-form',[_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"warning\",\"header-bg-variant\":\"warning\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionEC2\",modifiers:{\"accordionEC2\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"warning\"}},[_vm._v(\"Re-host to EC2 Mapping Tool (experimental)\")])],1),_c('b-collapse',{attrs:{\"id\":\"accordionEC2\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseEC2),callback:function ($$v) {_vm.showCollapseEC2=$$v},expression:\"showCollapseEC2\"}},[_c('b-card-body',[_vm._v(\" This section provides an experimental tool to help map your desired vCPU, Memory, and IO Throughput to an EC2 shape and accompanying EBS storage. \"),_c('br'),_c('br'),_c('div',[_c('b-card',{attrs:{\"title\":\"AWS Mapping to EC2 Summary\",\"bg-variant\":\"warning\"}},[(_vm.selected.length==0)?_c('div',[_c('b-row',[_c('b-col',[_c('b',[_vm._v(\"INSTRUCTIONS:\")]),_vm._v(\" Confirm/adjust the performance requirement inputs, and choose an EC2 shape from the candidate EC2 shape list below... \")])],1)],1):_vm._e(),(_vm.selected.length>0)?_c('div',[_c('b-row',[_c('b-col',[_vm._v(\" EC2 Shape: \"+_vm._s(_vm.targetconfig_ec2.shape)+\" \"),_c('br'),_vm._v(\" \"+_vm._s(_vm.targetconfig_ec2.shape_summaryText)+\" \")])],1),_c('br'),_c('b-row',[_c('b-col',[_vm._v(\" \"+_vm._s(_vm.targetconfig_ec2.ebs_data_summaryText1)+\" \"),_c('br'),_vm._v(\" \"+_vm._s(_vm.targetconfig_ec2.ebs_data_summaryText2)+\" \")])],1),_c('br'),_c('b-row',[_c('b-col',[_vm._v(\" \"+_vm._s(_vm.targetconfig_ec2.ebs_backup_summaryText1)+\" \"),_c('br'),_vm._v(\" \"+_vm._s(_vm.targetconfig_ec2.ebs_backup_summaryText2)+\" \")])],1),_c('br'),_c('b-row',[_c('b-col',[_c('b',[_vm._v(\"License: \"+_vm._s(_vm.targetconfig_ec2.license_summaryText))]),_c('br')])],1),_c('br'),_c('b-row',[_c('b-col',[_c('b',[_vm._v(\"Summary Estimate: \"+_vm._s(_vm.targetconfig_ec2.summaryText))]),_c('br')])],1),(_vm.targetconfig_ec2.gp2_warnings!='')?_c('b-row',[_c('b-col',[_c('br'),_c('b-card',{staticClass:\"text-center\",attrs:{\"bg-variant\":\"info\",\"text-variant\":\"white\",\"header\":\"GP2 Bursting Info\"}},[_c('b-card-text',[_vm._v(\" \"+_vm._s(_vm.targetconfig_ec2.gp2_warnings)+\" \")])],1)],1)],1):_vm._e(),(_vm.targetconfig_ec2.warnings!='')?_c('b-row',[_c('b-col',[_c('br'),_c('b-card',{staticClass:\"text-center\",attrs:{\"bg-variant\":\"danger\",\"text-variant\":\"white\",\"header\":\"Warning\"}},[_c('b-card-text',[_vm._v(\" \"+_vm._s(_vm.targetconfig_ec2.warnings)+\" \")])],1)],1)],1):_vm._e(),_c('br'),_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"submit\",\"title\":\"Save user inputs to the database\",\"block\":\"\",\"variant\":\"success\"}},[_vm._v(\"Save Page\")]),_c('br')],1):_vm._e()]),_c('br'),_c('br'),_c('b-card',{attrs:{\"header\":\"Performance Requirement Inputs\"}},[_c('b-form-group',{attrs:{\"label\":\"VPCUs\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Type to Search\"},model:{value:(_vm.ec2.VCPU),callback:function ($$v) {_vm.$set(_vm.ec2, \"VCPU\", $$v)},expression:\"ec2.VCPU\"}})],1),_c('b-form-group',{attrs:{\"label\":\"Memory (GB)\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Type to Search\"},model:{value:(_vm.ec2.Memory),callback:function ($$v) {_vm.$set(_vm.ec2, \"Memory\", $$v)},expression:\"ec2.Memory\"}})],1),_c('b-form-group',{attrs:{\"label\":\"Throughput (MB/s)\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Type to Search\"},model:{value:(_vm.ec2.Throughput),callback:function ($$v) {_vm.$set(_vm.ec2, \"Throughput\", $$v)},expression:\"ec2.Throughput\"}})],1),_c('b-form-group',{attrs:{\"label\":\"IOPS\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Enter desired IOPS\"},model:{value:(_vm.ebs.IOPS),callback:function ($$v) {_vm.$set(_vm.ebs, \"IOPS\", $$v)},expression:\"ebs.IOPS\"}})],1),_c('b-form-group',{attrs:{\"label\":\"Disk Space (GB)\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Enter size of database\"},model:{value:(_vm.ebs.DiskSpace),callback:function ($$v) {_vm.$set(_vm.ebs, \"DiskSpace\", $$v)},expression:\"ebs.DiskSpace\"}})],1),_c('b-form-group',{attrs:{\"label\":\"Volume Type of EBS Storage\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},model:{value:(_vm.ebs.VolumeType),callback:function ($$v) {_vm.$set(_vm.ebs, \"VolumeType\", $$v)},expression:\"ebs.VolumeType\"}},[_c('option',{attrs:{\"value\":\"\",\"disabled\":\"\"}},[_vm._v(\"Please select an option\")]),_c('option',{attrs:{\"value\":\"gp2\"}},[_vm._v(\"General Purpose SSD (gp2)\")]),_c('option',{attrs:{\"value\":\"gp3\"}},[_vm._v(\"General Purpose SSD (gp3)\")]),_c('option',{attrs:{\"value\":\"io1\"}},[_vm._v(\"Provisioned IOPS SSD (io1)\")]),_c('option',{attrs:{\"value\":\"io2\"}},[_vm._v(\"Provisioned IOPS SSD (io2)\")])])],1),_c('b-form-group',{attrs:{\"label\":\"Backup Approach to estimate\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},model:{value:(_vm.ebs.BackupType),callback:function ($$v) {_vm.$set(_vm.ebs, \"BackupType\", $$v)},expression:\"ebs.BackupType\"}},[_c('option',{attrs:{\"value\":\"\",\"disabled\":\"\"}},[_vm._v(\"Please select an option\")]),_c('option',{attrs:{\"value\":\"none\"}},[_vm._v(\"Do not model a backup approach\")]),_c('option',{attrs:{\"value\":\"datasnap\"}},[_vm._v(\"EBS Snapshots of the DATA volumes\")]),_c('option',{attrs:{\"value\":\"fra\"}},[_vm._v(\"EBS-based Flash Recovery Area\")]),_c('option',{attrs:{\"value\":\"frasnap\"}},[_vm._v(\"EBS-based Flash Recovery Area with Snapshots of FRA\")])])],1),(_vm.ebs.BackupType=='datasnap' || _vm.ebs.BackupType=='frasnap')?_c('b-form-group',{attrs:{\"label\":\"Average Change Rate (MB/s)\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"step\":\"0.01\",\"size\":\"sm\",\"placeholder\":\"Enter desired change rate\"},model:{value:(_vm.ebs.Backup),callback:function ($$v) {_vm.$set(_vm.ebs, \"Backup\", $$v)},expression:\"ebs.Backup\"}})],1):_vm._e(),(_vm.ebs.BackupType=='datasnap' || _vm.ebs.BackupType=='frasnap')?_c('b-form-group',{attrs:{\"label\":\"Snapshot Retention Days\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"step\":\"0.01\",\"size\":\"sm\",\"placeholder\":\"Days to retain incremental snapshots\"},model:{value:(_vm.ebs.SnapshotDays),callback:function ($$v) {_vm.$set(_vm.ebs, \"SnapshotDays\", $$v)},expression:\"ebs.SnapshotDays\"}})],1):_vm._e(),_c('b-form-textarea',{attrs:{\"id\":\"textarea10\",\"placeholder\":\"Type your EC2/EBS configuration comments/notes here.\",\"rows\":3,\"size\":\"sm\",\"max-rows\":6},model:{value:(_vm.comments.EC2),callback:function ($$v) {_vm.$set(_vm.comments, \"EC2\", $$v)},expression:\"comments.EC2\"}}),_c('br'),_c('b-card',{attrs:{\"header\":\"Candidate EC2 Shape List\"}},[_vm._v(\" Click on your desired EC2 shape to select it. 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The RDS data is based on information for the Northern Virginia region as of 12/20/2020. Reserved Instance pricing is based on Standard 1 year No Upfront Reserved Instances. \"),_c('br'),_vm._v(\"2. The EC2 Compute Unit (ECU) provides the relative measure of the integer processing power of an Amazon EC2 instance. A higher ECU is better. \"),_c('br'),_vm._v(\"3. ECU/$ is the total ECU divided by the hourly Oracle BYOL on-demand cost (and a higher ECU/$ is better). \"),_c('br'),_vm._v(\"4. ECU/vCPU/$ is the ECU per vCPU divided by the hourly Oracle BYOL on-demand cost (and a higher ECU/vCPU/$ is better). Looking at the ECU/vCPU/$ metric may be helpful when using the Optimizing CPU feature to run a subset of the total vCPUs for a given instance shape. \"),_c('br'),_vm._v(\"5. Information about Optimizing CPU (i.e. running a subset of CPU cores for a given instance shape) is described here: https://aws.amazon.com/about-aws/whats-new/2018/06/introducing-optimize-cpus-for-amazon-rds-for-oracle/ \"),_c('br'),_vm._v(\"6. For License-Included pricing, you can find details on this page: https://aws.amazon.com/rds/oracle/pricing/ \"),_c('br'),_vm._v(\"7. This page does not currently validate RDS IOPS instance limits, just the IO Throughput limits. \"),_c('br'),_vm._v(\"8. RDS-Oracle Storage volumes are elastic. The size can be elastically increased. And the provisioned IOPS value can be changed. \"),_c('br'),_vm._v(\"9. This page does not account for data transfer fees, T2/T3 Unlimited mode fees, Support fees, nor discount programs like free tier, etc. \"),_c('br')])],1)],1)],1),_c('br')],1),_c('a',{staticClass:\"card-link\",attrs:{\"href\":\"#\"}},[_vm._v(\"Top of Page\")]),_c('b-link',{staticClass:\"card-link\",attrs:{\"href\":\"/\"}},[_vm._v(\"Home Page\")])],1)],1)],1)],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{staticClass:\"container\"},[_c('div',{attrs:{\"id\":\"chartdiv\"}},[(_vm.loaded)?_c('timechart',{attrs:{\"chartdata\":_vm.chartdata,\"options\":_vm.options,\"chart-id\":_vm.myID}}):_vm._e()],1),(_vm.filterText!='')?_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(_vm._s(_vm.filterText))]):_vm._e(),(_vm.showAdjustYaxis)?_c('b-form-checkbox',{attrs:{\"size\":\"sm\",\"switch\":\"\"},on:{\"change\":function($event){return _vm.adjustY()}},model:{value:(_vm.adjustYaxis),callback:function ($$v) {_vm.adjustYaxis=$$v},expression:\"adjustYaxis\"}},[_vm._v(\"Adjust Y Axis scale for better visibility. \"+_vm._s(_vm.YaxisText))]):_vm._e()],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","import { Line } from 'vue-chartjs';\nimport ChartAnnotationsPlugin from 'chartjs-plugin-annotation';\n// import { generateChart } from 'vue-chartjs';\n// const CustomLine = generateChart('custom-line', 'line');\n\n//setting chart-id as a prop does something...\n\nexport default {\n extends: Line,\n name: 'TimeChart',\n\n props: {\n chartdata: {\n type: Object,\n default: null\n },\n options: {\n type: Object,\n default: null\n },\n \"chart-id\": {\n type: String,\n default: \"line-chart-dbcsi\"\n }\n \n },\n mounted () {\n // console.log('TC: mounted')\n this.addPlugin(ChartAnnotationsPlugin);\n \n var newOptions = JSON.parse(JSON.stringify(this.options));\n this.renderChart (this.chartdata, newOptions);\n \n\n // https://stackoverflow.com/questions/64878459/annotation-dont-show-in-vue-chartjs/66058308#66058308\n // this.renderChart (this.chartdata, {...this.options,\n // annotation: Object.assign({}, this.options.annotation) });\n },\n beforeUpdate () {\n console.log('TimeChart.js: beforeUpdate');\n// this.addPlugin(ChartAnnotationsPlugin);\n \n\n// // https://stackoverflow.com/questions/64878459/annotation-dont-show-in-vue-chartjs/66058308#66058308\n// this.renderChart (this.chartdata, {...this.options,\n// annotation: Object.assign({}, this.options.annotation) });\n }\n};\n","\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./TimeChartContainer.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./TimeChartContainer.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./TimeChartContainer.vue?vue&type=template&id=a7021374\"\nimport script from \"./TimeChartContainer.vue?vue&type=script&lang=js\"\nexport * from \"./TimeChartContainer.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{staticClass:\"container\"},[_c('div',{attrs:{\"id\":\"chartdiv\"}},[(_vm.loaded)?_c('timechart',{attrs:{\"chartdata\":_vm.chartdata,\"options\":_vm.options,\"chart-id\":_vm.myID}}):_vm._e()],1),(_vm.filterText!='')?_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(_vm._s(_vm.filterText))]):_vm._e(),(_vm.showDateRange)?_c('p',{staticStyle:{\"font-size\":\"12px\"}},[_c('a',{staticClass:\"card-link\",attrs:{\"href\":\"#daterange\"}},[_vm._v(\"Click here to specify custom Date Range for chart\")]),((_vm.start_date != _vm.start_date_min) || (_vm.end_date != _vm.end_date_max))?_c('span',[_vm._v(\". Custom Date Range in effect. \")]):_vm._e()]):_vm._e(),(_vm.showAdjustYaxis)?_c('b-form-checkbox',{attrs:{\"size\":\"sm\",\"switch\":\"\"},on:{\"change\":function($event){return _vm.adjustY()}},model:{value:(_vm.adjustYaxis),callback:function ($$v) {_vm.adjustYaxis=$$v},expression:\"adjustYaxis\"}},[_vm._v(\"Adjust Y Axis scale for better visibility. \"+_vm._s(_vm.YaxisText))]):_vm._e(),(_vm.showCompare)?_c('b-form-checkbox',{attrs:{\"size\":\"sm\",\"switch\":\"\"},on:{\"change\":function($event){return _vm.toggleCompare()}},model:{value:(_vm.adjustCompare),callback:function ($$v) {_vm.adjustCompare=$$v},expression:\"adjustCompare\"}},[_vm._v(_vm._s(_vm.compare_ctrl_text))]):_vm._e()],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./TimeChart2Container.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./TimeChart2Container.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./TimeChart2Container.vue?vue&type=template&id=6a7fda0f\"\nimport script from \"./TimeChart2Container.vue?vue&type=script&lang=js\"\nexport * from \"./TimeChart2Container.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{staticClass:\"container\"},[(_vm.loaded)?_c('timechart',{attrs:{\"chartdata\":_vm.chartdata,\"options\":_vm.options}}):_vm._e()],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./TimeChart4Container.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./TimeChart4Container.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./TimeChart4Container.vue?vue&type=template&id=2f6307cd\"\nimport script from \"./TimeChart4Container.vue?vue&type=script&lang=js\"\nexport * from \"./TimeChart4Container.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{staticClass:\"container\"},[(_vm.loaded)?_c('timebarchart',{attrs:{\"chartdata\":_vm.chartdata,\"options\":_vm.options}}):_vm._e(),(_vm.showDateRange)?_c('p',{staticStyle:{\"font-size\":\"12px\"}},[_c('a',{staticClass:\"card-link\",attrs:{\"href\":\"#daterange\"}},[_vm._v(\"Click here to specify custom Date Range for chart\")]),((_vm.start_date != _vm.start_date_min) || (_vm.end_date != _vm.end_date_max))?_c('span',[_vm._v(\". Custom Date Range in effect. \")]):_vm._e()]):_vm._e()],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","import { Bar } from 'vue-chartjs';\n\nexport default {\n extends: Bar,\n name: 'TimeBarChart',\n \n props: {\n chartdata: {\n type: Object,\n default: null\n },\n options: {\n type: Object,\n default: null\n }\n },\n mounted () {\n // console.log('TBC: mounted')\n this.renderChart (this.chartdata, this.options)\n }\n}\n","\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./TimeBarChartNContainer.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./TimeBarChartNContainer.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./TimeBarChartNContainer.vue?vue&type=template&id=42516eaf\"\nimport script from \"./TimeBarChartNContainer.vue?vue&type=script&lang=js\"\nexport * from \"./TimeBarChartNContainer.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","// ***********************************\n// Calculator.vue\n// ***********************************\n\n// To update: copy over the relevant sections as-is\n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Calculator.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Calculator.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./Calculator.vue?vue&type=template&id=213ef2de\"\nimport script from \"./Calculator.vue?vue&type=script&lang=js\"\nexport * from \"./Calculator.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionGeneral\",modifiers:{\"accordionGeneral\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"info\"}},[_vm._v(\"General Information\")])],1),_c('b-collapse',{attrs:{\"id\":\"accordionGeneral\",\"visible\":\"\",\"role\":\"tabpanel\"}},[_c('b-card-body',[_c('div',{attrs:{\"id\":\"demo\"}},[_c('b-table',{staticClass:\"table table-sm\",attrs:{\"striped\":\"\",\"hover\":\"\",\"bordered\":\"\",\"fixed\":\"\",\"items\":_vm.genItems},scopedSlots:_vm._u([{key:\"cell(value)\",fn:function(row){return [((row.item.name == 'SE2_ANALYSIS'))?_c('div',[_vm._v(_vm._s(_vm.batchItems[0].SE2_Comments))]):_vm._e(),(!( row.item.name == 'SE2_ANALYSIS'))?_c('div',[_vm._v(_vm._s(row.item.value)+\" \"),(row.item.name == 'NUM_CPUS')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the number of operating system CPUs (aka threads) seen by Oracle on a single node. Source: DBA_HIST_OSSTAT or STATS$OSSTAT\"}}):_vm._e(),(row.item.name == 'NUM_CPU_CORES')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the number of hardware cores detected by Oracle on a single node. Source: DBA_HIST_OSSTAT or STATS$OSSTAT\"}}):_vm._e(),(row.item.name == 'GLOBAL_CPU_COUNT')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the number of operating system CPUs (aka threads) seen by Oracle across all nodes. Source: DBA_CPU_USAGE _STATISTICS\"}}):_vm._e(),(row.item.name == 'GLOBAL_CPU_CORE_COUNT')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the number of hardware cores detected by Oracle across all nodes. Source: DBA_CPU_USAGE _STATISTICS\"}}):_vm._e(),(row.item.name == 'TOTAL_DB_SIZE_GB')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the total size of all data files and temp files. Source: DBA_DATA_FILES and DBA_TEMP_FILES\"}}):_vm._e(),(row.item.name == 'TOTAL_DATAFILE_SIZE_GB')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the total size of all data files. Source: DBA_DATA_FILES\"}}):_vm._e(),(row.item.name == 'USED_DB_SIZE_GB')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the total size of all segments. Source: DBA_SEGMENTS\"}}):_vm._e(),(row.item.name == 'HOSTS')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Source: DBA_HIST_ DATABASE_INSTANCE or STATS$ DATABASE_INSTANCE\"}}):_vm._e(),(row.item.name == 'HOSTS_CURRENT')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Source: GV$INSTANCE\"}}):_vm._e(),(row.item.name == 'HOST_CONNECTED')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"The host of the database instance used to collect data.\"}}):_vm._e(),(row.item.name == 'INSTANCE#_CONNECTED')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"The database instance number used to collect data. DBCSI pulls data from all instances in a RAC Cluster, but it can sometimes be helpful to know which instance was used to collect data.\"}}):_vm._e(),((row.item.name == 'AWR_MINER_VER' && !row.item.value.includes('aws')))?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"Warning: This looks like the generic AWR Miner script output. DBCSI works best if you use the DBCSI-specific data collection script from the DBCSI Add page.\"}}):_vm._e(),(row.item.name == 'STATSPACK_MINER_VER')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"Warning: when using STATSPACK data, some features of DBCSI will be limited.\"}}):_vm._e()]):_vm._e()]}}])})],1)])],1)],1),(_vm.loaded)?_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionComparative\",modifiers:{\"accordionComparative\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"info\"}},[_vm._v(\"Comparative Information\")])],1),_c('b-collapse',{attrs:{\"id\":\"accordionComparative\",\"visible\":\"\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseSummary),callback:function ($$v) {_vm.showCollapseSummary=$$v},expression:\"showCollapseSummary\"}},[_c('b-card-body',[_c('div',{staticClass:\"Chart\"},[_c('h2',[_vm._v(\"Databases: Comparative Distributions\")]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"These charts show the percentile distribution of various metrics (such as Database Size) for databases analyzed by DBCSI. These charts show you how your database's metrics compare relative to other databases. The horizontal axis is the metric displayed using a logarithmic scale. The vertical axis represents the percentile for databases ordered by the metric. 0 on the vertical axis is the smallest database for that metric. 50 on the vertical axis represents the database with the median value. 100 on the vertical axis represents the largest database for that metric. Each database is plotted as a dot showing its metric value and its percentile.\")])]),(_vm.showCollapseSummary && _vm.loaded)?_c('scatterchartcontainer',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the total size of the database data files and temp files in GB.'),expression:\"'This shows the total size of the database data files and temp files in GB.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Database Size (GB)\",\"chart_id\":\"TOTAL_DB_SIZE_GB\",\"reflines\":\"true\",\"linear\":\"false\",\"refpoint\":this.gen_db_size,\"units\":\"GB\",\"color\":\"#3e95cd\",\"scale\":\"1\",\"title\":\"Database Size (GB)\"}}):_vm._e(),(_vm.showCollapseSummary && _vm.loaded)?_c('scatterchartcontainer',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the 99th Percentile value of the Average # of CPU threads used by the database during each snapshot time period using the Oracle metric: (CPU Usage Per Sec). For a RAC cluster, this chart aggregates the usage across all instances.'),expression:\"'This shows the 99th Percentile value of the Average # of CPU threads used by the database during each snapshot time period using the Oracle metric: (CPU Usage Per Sec). For a RAC cluster, this chart aggregates the usage across all instances.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"CPU Threads\",\"chart_id\":\"blended_cpu1\",\"reflines\":\"true\",\"linear\":\"false\",\"refpoint\":this.blended_cpu1,\"units\":\"threads\",\"color\":\"orange\",\"scale\":\"100\",\"title\":\"CPU Threads\"}}):_vm._e(),(_vm.showCollapseSummary && _vm.loaded)?_c('scatterchartcontainer',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the Average of the Peak IOPS rate (Database IO Requests/second) during each snapshot time period using the Oracle metrics: (Physical Read Total IO Requests Per Sec, Physical Write Total IO Requests Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances.'),expression:\"'This shows the Average of the Peak IOPS rate (Database IO Requests/second) during each snapshot time period using the Oracle metrics: (Physical Read Total IO Requests Per Sec, Physical Write Total IO Requests Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"IOPS\",\"chart_id\":\"blended_iops1\",\"reflines\":\"true\",\"linear\":\"false\",\"refpoint\":this.blended_iops1,\"units\":\"IOPS\",\"color\":\"green\",\"scale\":\"1\",\"title\":\"IOPS\"}}):_vm._e(),(_vm.showCollapseSummary && _vm.loaded)?_c('scatterchartcontainer',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the Average of the Peak IO throughput rates (MB/s) during each snapshot time period using the Oracle metrics: (Physical Read Total Bytes Per Sec, Physical Write Total Bytes Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances.'),expression:\"'This shows the Average of the Peak IO throughput rates (MB/s) during each snapshot time period using the Oracle metrics: (Physical Read Total Bytes Per Sec, Physical Write Total Bytes Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"IO Throughput (MB/s)\",\"chart_id\":\"blended_iomb1\",\"reflines\":\"true\",\"linear\":\"false\",\"refpoint\":this.blended_iomb1,\"units\":\"MB/s\",\"color\":\"red\",\"scale\":\"1\",\"title\":\"IO Throughput (MB/s)\"}}):_vm._e(),(_vm.showCollapseSummary && _vm.loaded)?_c('scatterchartcontainer',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the total number of database tables.'),expression:\"'This shows the total number of database tables.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Database Tables\",\"chart_id\":\"COUNT_TABLE\",\"reflines\":\"true\",\"linear\":\"false\",\"refpoint\":this.count_table,\"units\":\"Tables\",\"color\":\"purple\",\"scale\":\"1\",\"title\":\"Database Tables\"}}):_vm._e(),(_vm.showCollapseSummary && _vm.loaded)?_c('scatterchartcontainer',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the total number of lines of PLSQL.'),expression:\"'This shows the total number of lines of PLSQL.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Lines of PLSQL\",\"chart_id\":\"COUNT_LINES_PLSQL\",\"reflines\":\"true\",\"linear\":\"false\",\"refpoint\":this.count_lines_plsql,\"units\":\"Lines\",\"color\":\"purple\",\"scale\":\"1\",\"title\":\"Lines of PLSQL\"}}):_vm._e()],1)])],1)],1):_vm._e(),(_vm.loaded)?_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionSessions\",modifiers:{\"accordionSessions\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"info\"}},[_vm._v(\"Wait Metrics\")])],1),_c('b-collapse',{attrs:{\"id\":\"accordionSessions\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseSessions),callback:function ($$v) {_vm.showCollapseSessions=$$v},expression:\"showCollapseSessions\"}},[_c('b-card-body',[_vm._v(\" This shows the top 10 wait events across all snapshots. Each bar represents the wait time (in seconds) spent \"+_vm._s(this.collection_id>20830 ? 'per second ' : '')+\"for that wait event during the individual snapshot time period. Bars are displayed stacked. Click on the legend to remove a wait event from the chart. \"),_c('div',{staticClass:\"Chart__list\"},[_c('div',{staticClass:\"Chart\"},[_c('h2',[_vm._v(\"Top Waits - Wait time(seconds) per \"+_vm._s(this.collection_id>20830 ? 'second' : 'snapshot interval'))]),(_vm.showCollapseSessions && _vm.loaded)?_c('timebarchartncontainer',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"notused\",\"chart_id\":\"TOP_WAITS2\",\"stacked\":\"true\"}}):_vm._e()],1)])])],1)],1):_vm._e(),(_vm.loaded && _vm.showExadata)?_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionExadata\",modifiers:{\"accordionExadata\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"info\"}},[_vm._v(\"Exadata\")])],1),_c('b-collapse',{attrs:{\"id\":\"accordionExadata\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseExadata),callback:function ($$v) {_vm.showCollapseExadata=$$v},expression:\"showCollapseExadata\"}},[_c('b-card-body',[_c('div',{staticClass:\"Chart__list\"},[_c('div',{staticClass:\"Chart\"},[_c('h2',[_vm._v(\"Exadata Observations\")]),(_vm.showCollapseExadata && _vm.loaded)?_c('exadataobservations',{attrs:{\"param_collection_id\":`${this.param_collection_id}`,\"param_item\":`${JSON.stringify(this.batchItems[0])}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user}}):_vm._e()],1)])])],1)],1):_vm._e()],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{staticClass:\"container\"},[(_vm.loaded)?_c('scatterchart',{attrs:{\"chartdata\":_vm.chartdata,\"options\":_vm.options,\"height\":150}}):_vm._e()],1)\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","import { Scatter } from 'vue-chartjs';\nimport ChartAnnotationsPlugin from 'chartjs-plugin-annotation';\n\nexport default {\n extends: Scatter,\n name: 'ScatterChart',\n props: {\n chartdata: {\n type: Object,\n default: null\n },\n options: {\n type: Object,\n default: null\n }\n },\n mounted () {\n // console.log('TC: mounted')\n// this.addPlugin(ChartAnnotationsPlugin);\n \n\n \n// this.renderChart (this.chartdata, this.options)\n \n this.addPlugin(ChartAnnotationsPlugin);\n \n var newOptions = JSON.parse(JSON.stringify(this.options));\n newOptions.scales.yAxes[0].ticks.callback = this.options.scales.yAxes[0].ticks.callback;\n newOptions.scales.xAxes[0].ticks.callback = this.options.scales.xAxes[0].ticks.callback;\n // console.log(newOptions);\n this.renderChart (this.chartdata, newOptions);\n \n }\n}\n","\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./ScatterChartContainer.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./ScatterChartContainer.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./ScatterChartContainer.vue?vue&type=template&id=11e43a6e\"\nimport script from \"./ScatterChartContainer.vue?vue&type=script&lang=js\"\nexport * from \"./ScatterChartContainer.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[((this.item.AWR_MINER_VER != undefined && this.item.AWR_MINER_VER.includes('statspack')) )?_c('span',[_c('img',{attrs:{\"src\":require(\"@/assets/statspack.png\"),\"height\":\"20px\"}}),_c('br'),_vm._v(\"Data was collected using STATSPACK. The Exadata Observations section is a work-in-progress when using STATSPACK data. Currently, there will be some missing data. For best results, use aws_statspack_miner.sql version 4.0.11.statspack.\"),_c('b',[_vm._v(\"21\")]),_vm._v(\" or later.\"),_c('br'),_c('br')]):_vm._e(),(this.item.additional_datapoints != undefined)?_c('b-card-group',{attrs:{\"deck\":\"\"}},[_c('b-card',{attrs:{\"header\":\"IO Intensity\"}},[((this.item.Exadata=='Yes')&&(this.item.SmartScanEligible!=undefined)&&(this.item.SmartScanEligible==0))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This database used to run on Exadata, but may not anymore. ${'Smart Scan Eligible= '+this.item.SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.item.StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.item.ExadataAdjustmentText==undefined) ? '' : this.item.ExadataAdjustmentText}`),expression:\"`This database used to run on Exadata, but may not anymore. ${'Smart Scan Eligible= '+this.item.SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.item.StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.item.ExadataAdjustmentText==undefined) ? '' : this.item.ExadataAdjustmentText}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Exadata0.png\"),\"height\":\"20px\",\"title\":\"Exadata - ZERO SmartScan Offload\"}}):_vm._e(),((this.item.Exadata=='Yes')&&(this.item.SmartScanEligible!=undefined)&&(this.item.SmartScanEligible>0)&& (this.item.SmartScanEligible<500))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This database runs on Exadata. ${'Smart Scan Eligible= '+this.item.SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.item.StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.item.ExadataAdjustmentText==undefined) ? '' : this.item.ExadataAdjustmentText}`),expression:\"`This database runs on Exadata. ${'Smart Scan Eligible= '+this.item.SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.item.StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.item.ExadataAdjustmentText==undefined) ? '' : this.item.ExadataAdjustmentText}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Exadata1.png\"),\"height\":\"20px\",\"title\":\"Exadata - Minimal SmartScan Offload\"}}):_vm._e(),((this.item.Exadata=='Yes')&&(this.item.SmartScanEligible!=undefined)&&(this.item.SmartScanEligible>500)&& (this.item.SmartScanEligible<2000))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This database runs on Exadata. ${'Smart Scan Eligible= '+this.item.SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.item.StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.item.ExadataAdjustmentText==undefined) ? '' : this.item.ExadataAdjustmentText}`),expression:\"`This database runs on Exadata. ${'Smart Scan Eligible= '+this.item.SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.item.StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.item.ExadataAdjustmentText==undefined) ? '' : this.item.ExadataAdjustmentText}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Exadata2.png\"),\"height\":\"20px\",\"title\":\"Exadata - Moderate SmartScan Offload\"}}):_vm._e(),((this.item.Exadata=='Yes')&&(this.item.SmartScanEligible!=undefined)&&(this.item.SmartScanEligible>2000)&& (this.item.SmartScanEligible<8000))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This database runs on Exadata. ${'Smart Scan Eligible= '+this.item.SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.item.StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.item.ExadataAdjustmentText==undefined) ? '' : this.item.ExadataAdjustmentText}`),expression:\"`This database runs on Exadata. ${'Smart Scan Eligible= '+this.item.SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.item.StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.item.ExadataAdjustmentText==undefined) ? '' : this.item.ExadataAdjustmentText}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Exadata3.png\"),\"height\":\"20px\",\"title\":\"Exadata - Medium SmartScan Offload\"}}):_vm._e(),((this.item.Exadata=='Yes')&&(this.item.SmartScanEligible!=undefined)&&(this.item.SmartScanEligible>8000))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This database runs on Exadata. ${'Smart Scan Eligible= '+this.item.SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.item.StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.item.ExadataAdjustmentText==undefined) ? '' : this.item.ExadataAdjustmentText}`),expression:\"`This database runs on Exadata. ${'Smart Scan Eligible= '+this.item.SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.item.StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.item.ExadataAdjustmentText==undefined) ? '' : this.item.ExadataAdjustmentText}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Exadata4.png\"),\"height\":\"20px\",\"title\":\"Exadata - Heavy SmartScan Offload\"}}):_vm._e(),_c('br'),_c('br'),_c('b-list-group',_vm._l((_vm.text_io.messages),function(message){return _c('b-list-group-item',{key:message.text,attrs:{\"variant\":message.severity}},[_vm._v(_vm._s(message.text))])}),1),_c('b-card-body',[_vm._v(\" \"+_vm._s(this.text_io.body)+\" \")])],1),_c('b-card',{attrs:{\"header\":\"Workload Type\"}},[((this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1>0) && (this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024 <= 30))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`The estimated typical IO request size is ${Math.round(this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024)} KB, which makes this database appear to be supporting OLTP-style workloads.`),expression:\"`The estimated typical IO request size is ${Math.round(this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024)} KB, which makes this database appear to be supporting OLTP-style workloads.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/OLTP1.png\"),\"height\":\"20px\",\"title\":\"OLTP-DW Spectrum Estimation\"}}):_vm._e(),((this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1>0) && (this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024 > 30) && (this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024 <= 120))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`The estimated typical IO request size is ${Math.round(this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024)} KB, which makes this database appear to be supporting OLTP-style workloads with some mixed workloads.`),expression:\"`The estimated typical IO request size is ${Math.round(this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024)} KB, which makes this database appear to be supporting OLTP-style workloads with some mixed workloads.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/OLTP2.png\"),\"height\":\"20px\",\"title\":\"OLTP-DW Spectrum Estimation\"}}):_vm._e(),((this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1>0) && (this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024 > 120) && (this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024 <= 400))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`The estimated typical IO request size is ${Math.round(this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024)} KB, which makes this database appear to be supporting mixed and/or DW workloads.`),expression:\"`The estimated typical IO request size is ${Math.round(this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024)} KB, which makes this database appear to be supporting mixed and/or DW workloads.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/OLTP3.png\"),\"height\":\"20px\",\"title\":\"OLTP-DW Spectrum Estimation\"}}):_vm._e(),((this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1>0) && (this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024 > 400))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`The estimated typical IO request size is ${Math.round(this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024)} KB, which makes this database appear to be supporting DW-style workloads.`),expression:\"`The estimated typical IO request size is ${Math.round(this.item.additional_datapoints.DB_IOMB_AVERAGE_P99/this.item.additional_datapoints.DB_IOPS_AVERAGE_P99*1024)} KB, which makes this database appear to be supporting DW-style workloads.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/OLTP4.png\"),\"height\":\"20px\",\"title\":\"OLTP-DW Spectrum Estimation\"}}):_vm._e(),((this.item.AWR_MINER_VER != undefined && !(this.item.AWR_MINER_VER.includes('aws') || this.item.AWR_MINER_VER.includes('statspack') ) ))?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"Warning: This looks like the generic non-DBCSI AWR Miner script was used to collect metrics. DBCSI works best if you use the DBCSI-specific data collection script downloadable from the DBCSI Add page. Some DBCSI functionality will be missing.\"}}):_vm._e(),_c('br'),_c('br'),_c('b-list-group',_vm._l((_vm.text_workload.messages),function(message){return _c('b-list-group-item',{key:message.text,attrs:{\"variant\":message.severity}},[_vm._v(_vm._s(message.text))])}),1),_c('b-card-body',[_vm._v(\" \"+_vm._s(this.text_workload.body)+\" \")])],1)],1):_vm._e(),_c('br'),_c('br'),(this.item.additional_datapoints == undefined)?_c('div',[_vm._v(\"Limited data. Create a scenario in the Auto-Right-Sizer to collect/see more complete information.\")]):_vm._e(),(this.item.additional_datapoints != undefined)?_c('b-card-group',{attrs:{\"deck\":\"\"}},[_c('b-card',{attrs:{\"header\":\"HCC Usage\"}},[_c('b-list-group',_vm._l((_vm.text_hcc.messages),function(message){return _c('b-list-group-item',{key:message.text,attrs:{\"variant\":message.severity}},[_vm._v(_vm._s(message.text))])}),1),_c('b-card-body',[_vm._v(\" \"+_vm._s(this.text_hcc.body)+\" \")])],1),_c('b-card',{attrs:{\"header\":\"Memory Size\"}},[_c('b-list-group',_vm._l((_vm.text_memory.messages),function(message){return _c('b-list-group-item',{key:message.text,attrs:{\"variant\":message.severity}},[_vm._v(_vm._s(message.text))])}),1),_c('b-card-body',[_vm._v(\" \"+_vm._s(this.text_memory.body)+\" \")])],1),_c('b-card',{attrs:{\"header\":\"Commit Rate\"}},[_c('b-list-group',_vm._l((_vm.text_commit.messages),function(message){return _c('b-list-group-item',{key:message.text,attrs:{\"variant\":message.severity}},[_vm._v(_vm._s(message.text))])}),1),_c('b-card-body',[_vm._v(\" \"+_vm._s(this.text_commit.body)+\" \")])],1)],1):_vm._e(),_c('br'),_c('br'),_c('b-card-group',{attrs:{\"deck\":\"\"}},[_c('b-card',{attrs:{\"header\":\"Key Exadata Metrics\"}},[_c('b-card-body',[(_vm.loaded)?_c('timechart2container',{attrs:{\"id\":\"divEXADATA\",\"collection_id\":`${this.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Average Read Throughput:Average SmartScan Eligible:Average Storage Index Savings:Peak Read Throughput\",\"chart_id\":\"EXADATA\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(this.item.IS_PDB=='YES') ? this.item.CDB_IOMB*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB Throughput)\",\"targets\":\"Target\",\"targetValues\":`${this.item.OrigThroughput}`,\"adjustment\":\"1.0\"}}):_vm._e(),_c('img',{attrs:{\"id\":\"imgEXADATA\",\"width\":\"100%\"}})],1)],1)],1),(this.item.additional_datapoints != undefined)?_c('span',{staticStyle:{\"font-size\":\"12px\"},domProps:{\"innerHTML\":_vm._s(this.exadataAssumptions)}}):_vm._e(),_c('br'),_c('br'),(_vm.text_tuning.messages.length>0)?_c('b-card-group',{attrs:{\"deck\":\"\"}},[_c('b-card',{attrs:{\"header\":\"Post-Exadata Tuning and Tightening\"}},[_c('b-list-group',_vm._l((_vm.text_tuning.messages),function(message){return _c('b-list-group-item',{key:message.text,attrs:{\"variant\":message.severity}},[_vm._v(_vm._s(message.text))])}),1),_c('b-card-body',[_vm._v(\" \"+_vm._s(this.text_tuning.body)+\" \")])],1)],1):_vm._e(),_c('br'),_c('br'),(this.item.additional_datapoints != undefined)?_c('b-card-group',{attrs:{\"deck\":\"\"}},[_c('b-card',{attrs:{\"header\":\"Additional Exadata Links and Resources\"}},[_c('p',{staticStyle:{\"font-size\":\"16px\"}},[_c('b',[_c('a',{attrs:{\"href\":\"https://d1.awsstatic.com/whitepapers/migrating-oracle-exadata-workloads-to-aws.pdf\",\"target\":\"_blank\"}},[_vm._v(\"[AWS White Paper] Migrating Oracle Exadata Workloads to AWS\")])])]),_c('p',{staticStyle:{\"font-size\":\"16px\"}},[_c('b',[_c('a',{attrs:{\"href\":\"https://docs.aws.amazon.com/prescriptive-guidance/latest/oracle-exadata-blueprint/introduction.html\",\"target\":\"_blank\"}},[_vm._v(\"[AWS Guidance] Blueprint for successful migrations from Oracle Exadata to AWS\")])])]),_c('p',{staticStyle:{\"font-size\":\"16px\"}},[_c('b',[_c('a',{attrs:{\"href\":\"https://aws.amazon.com/blogs/database/migrating-oracle-databases-from-exadata-to-amazon-rds-for-oracle-addressing-performance-considerations/\",\"target\":\"_blank\"}},[_vm._v(\"[AWS Blog] Migrating Oracle Databases from Exadata to Amazon RDS for Oracle: Addressing Performance Considerations\")])])]),_c('br'),_c('br'),_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_c('a',{attrs:{\"href\":\"https://www.linkedin.com/pulse/migrating-exadata-workloads-aws-part-one-yavor-ivanov/\",\"target\":\"_blank\"}},[_vm._v(\"[Customer Blog - \"),_c('b',[_vm._v(\"Paysafe\")]),_vm._v(\" - part1] Migrating Exadata workloads to AWS\")])]),_c('p',{staticStyle:{\"font-size\":\"12px\"}},[_c('a',{attrs:{\"href\":\"https://www.linkedin.com/pulse/migrating-exadata-workloads-aws-part-two-rds-service-yavor-ivanov/\",\"target\":\"_blank\"}},[_vm._v(\"[part2] Migrating Exadata workloads to AWS, the RDS service\")])]),_c('p',{staticStyle:{\"font-size\":\"12px\"}},[_c('a',{attrs:{\"href\":\"https://www.linkedin.com/pulse/migrating-exadata-workloads-aws-part-three-hard-core-yavor-ivanov/\",\"target\":\"_blank\"}},[_vm._v(\"[part3] Migrating Exadata workloads to AWS, hard-core EC2 services\")])]),_c('p',{staticStyle:{\"font-size\":\"12px\"}},[_c('a',{attrs:{\"href\":\"https://www.linkedin.com/pulse/migrating-exadata-workloads-aws-part-four-using-data-yavor-ivanov/\",\"target\":\"_blank\"}},[_vm._v(\"[part4] Migrating Exadata workloads to AWS, using cloud-native data stores\")])]),_c('p',{staticStyle:{\"font-size\":\"12px\"}},[_c('a',{attrs:{\"href\":\"https://www.linkedin.com/pulse/migrating-exadata-workloads-aws-part-five-ebs-volumes-yavor-ivanov/\",\"target\":\"_blank\"}},[_vm._v(\"[part5] Migrating Exadata workloads to AWS, EBS volumes for Oracle DBAs\")])]),_c('p',{staticStyle:{\"font-size\":\"12px\"}},[_c('a',{attrs:{\"href\":\"https://www.linkedin.com/pulse/migrating-exadata-workloads-aws-part-six-predicting-storage-ivanov/\",\"target\":\"_blank\"}},[_vm._v(\"[part6] Predicting storage requirements\")])]),_c('br'),_c('br'),_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_c('a',{attrs:{\"href\":\"https://www.youtube.com/watch?v=QPcjuKTYdHk\",\"target\":\"_blank\"}},[_vm._v(\"[Customer Video - \"),_c('b',[_vm._v(\"CalHEERS\")]),_vm._v(\"] Large-scale, Oracle Engineered Systems migration to the cloud\")])]),_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_c('a',{attrs:{\"href\":\"https://aws.amazon.com/blogs/industries/edf-completes-ssgroundbreaking-migration-to-run-oracle-utilities-solution-on-amazon-rds/\",\"target\":\"_blank\"}},[_vm._v(\"[Customer Example - \"),_c('b',[_vm._v(\"EDF UK\")]),_vm._v(\"] EDF Completes Groundbreaking Migration to Run Oracle Utilities Solution on Amazon RDS\")])]),_c('br'),_c('br'),_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_c('a',{attrs:{\"href\":\"https://aws.amazon.com/blogs/apn/comparing-oracle-exadata-database-performance-with-amazon-rds-for-oracle/\",\"target\":\"_blank\"}},[_vm._v(\"[Partner Blog - \"),_c('b',[_vm._v(\"TCS\")]),_vm._v(\"] Comparing Oracle Exadata Database Performance with Amazon RDS for Oracle\")])]),_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_c('a',{attrs:{\"href\":\"https://aws.amazon.com/blogs/apn/proving-the-performance-of-oracle-exadata-based-workloads-on-aws/\",\"target\":\"_blank\"}},[_vm._v(\"[Partner Blog - \"),_c('b',[_vm._v(\"Navisite\")]),_vm._v(\"] Proving the Performance of Oracle Exadata-Based Workloads on AWS\")])]),_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_c('a',{attrs:{\"href\":\"https://www.tekstream.com/blog/migrating-on-premises-oracle-exadata-databases-to-amazon-rds/\",\"target\":\"_blank\"}},[_vm._v(\"[Partner Blog - \"),_c('b',[_vm._v(\"Tekstream\")]),_vm._v(\"] Migrating On-Premises Oracle Exadata Databases to Amazon RDS\")])]),_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_c('a',{attrs:{\"href\":\"https://appsassociates.com/resources/whitepapers/modernize-your-exadata-workloads-with-aws/\",\"target\":\"_blank\"}},[_vm._v(\"[Partner White Paper - \"),_c('b',[_vm._v(\"Apps Associates\")]),_vm._v(\"] Modernize your Exadata Workloads with AWS\")])])])],1):_vm._e()],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./ExadataObservations.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./ExadataObservations.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./ExadataObservations.vue?vue&type=template&id=2915a631\"\nimport script from \"./ExadataObservations.vue?vue&type=script&lang=js\"\nexport * from \"./ExadataObservations.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./GeneralInfoModal.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./GeneralInfoModal.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./GeneralInfoModal.vue?vue&type=template&id=36c742c6\"\nimport script from \"./GeneralInfoModal.vue?vue&type=script&lang=js\"\nexport * from \"./GeneralInfoModal.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","// ***********************************\n// Main.vue\n// ***********************************\n \n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Main.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Main.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./Main.vue?vue&type=template&id=4cb8a32a\"\nimport script from \"./Main.vue?vue&type=script&lang=js\"\nexport * from \"./Main.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('div',[_c('router-link',{attrs:{\"to\":{ name: 'Main'}}},[_vm._v(\"List\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Add'}}},[_vm._v(\"Add\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Profile' }}},[_vm._v(\"Share\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Shapes' }}},[_vm._v(\"ShapeBrowser\")])],1),_vm._v(\" Use this page to explore your database. \"),_c('b-button',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.morehelp\",modifiers:{\"morehelp\":true}}],attrs:{\"variant\":\"link\"}},[_vm._v(\"Click here to see more instructions.\")]),_c('br'),_c('b-collapse',{attrs:{\"id\":\"morehelp\"}},[_c('b-card',{attrs:{\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('div',{staticClass:\"mt-3 text-left\",attrs:{\"id\":\"morehelptext\"}},[_vm._v(\" This page is structured into different collapsable sections. Click on the title bar of each section to expand or collapse it. \"),_c('br'),_c('br'),_vm._v(\" The first section (\\\"General Information\\\") provides some general details about your database. \"),_c('br'),_vm._v(\" The second section (\\\"Comparative Information\\\") offers a quick visual way to look at your database compared to other databases. This can help you quickly see if you are dealing with a relatively big or small database. \"),_c('br'),_vm._v(\" The next four sections (\\\"CPU\\\", \\\"Memory\\\", \\\"I/O\\\", and \\\"Disk Space\\\") focus on the real-world performance metrics related to the 5 key sizing dimensions (CPU, Memory, IOPS, IO Throughput, and Disk Space). You can use the charts in these sections to help decide upon target values for these 5 key metrics. \"),_c('br'),_vm._v(\" The \\\"Backup Metrics\\\" section provides some metrics around backups, but the backup metrics data is not currently used by DBCSI's sizing algorithms so this section is for information-only. \"),_c('br'),_vm._v(\" The \\\"Wait Metrics\\\" section provides the top 10 wait events over time, which can help you understand a bit more about the current system performance. This is for information-only and not used by DBCSI's sizing algorithms. \"),_c('br'),_vm._v(\" The \\\"Exadata Metrics\\\" section provides charts showing some key Exadata metrics that can help you judge how much the workload is using (or not using) Exadata capabilities. Some of these metrics can be used by the DBCSI Auto-Right-Sizer functionality to predict IO Throughput in post-Exadata scenarios. \"),_c('br'),_c('br'),_vm._v(\" The final section (\\\"Mapping to AWS\\\") is a \\\"version1\\\" attempt of a sizing tool-- currently, we recommend you use the newer Auto-Right-Sizer functionality. The older v1 sizing tool on this page is not as advanced and is not being enhanced. In general, we recommend you use the Auto-Right-Sizing tool for sizing but there maybe use-cases where you find the version1 sizing tool useful. \"),_c('br'),_c('br')])])],1),_c('b-form',{on:{\"submit\":_vm.onSubmit,\"reset\":_vm.onReset}},[_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionGeneral\",modifiers:{\"accordionGeneral\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"info\"}},[_vm._v(\"General Information\")])],1),_c('b-collapse',{attrs:{\"id\":\"accordionGeneral\",\"visible\":\"\",\"role\":\"tabpanel\"}},[_c('b-card-body',[_c('b-alert',{attrs:{\"show\":_vm.shareMode,\"variant\":\"info\"}},[_vm._v(\"This database has been shared with you via URL. Please save the URL if you want to continue to view it later.\")]),(!this.shareMode )?_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal\",value:(`mShare`),expression:\"`mShare`\"}],attrs:{\"block\":\"\",\"variant\":\"outline-primary\"}},[_vm._v(\"Share this database via URL\")]):_vm._e(),((_vm.collection_id!=459) && (_vm.collection_id!=458) && (_vm.collection_id!=455) && !_vm.shareMode)?_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal.modal-delete\",modifiers:{\"modal-delete\":true}}],attrs:{\"type\":\"button\",\"block\":\"\",\"variant\":\"outline-primary\"}},[_vm._v(\"Delete this database\")]):_vm._e(),_c('b-modal',{attrs:{\"id\":`mShare`,\"title\":\"Share Database via URL\",\"ok-only\":\"\",\"ok-title\":\"Finished\",\"size\":\"xl\"}},[_c('div',{staticStyle:{\"margin\":\"15px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"This feature lets you share your DBCSI databases via generated obscure URLs, similar to how you share in the AWS Pricing Calculator. The other users who wish to use your generated sharing URL will need to be DBCSI users as well. The generated URL does not copy over your algorithm choices or any manually entered target values. To continue, please read and acknowledge the following:\")]),_c('br'),_c('br'),_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_c('b',[_vm._v(\"Sharing Acknowledgement:\")]),_vm._v(\" Any DBCSI user who has been given the generated sharing URL will be able to see the DBCSI information for this database.\")]),_c('b-form',[(_vm.generatedSharingURL !='')?_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup0\",\"label\":\"Generated Sharing URL:\",\"label-for\":\"genURL\",\"description\":\"Please copy the above URL and distribute it for sharing this database with other DBCSI users.\"}},[_c('b-form-input',{attrs:{\"id\":\"genURL\",\"type\":\"text\",\"required\":\"\",\"disabled\":\"\",\"placeholder\":\"generated URL for sharing this database\"},model:{value:(_vm.generatedSharingURL),callback:function ($$v) {_vm.generatedSharingURL=$$v},expression:\"generatedSharingURL\"}})],1):_vm._e(),((_vm.generatedSharingURL==''))?_c('b-button',{attrs:{\"variant\":\"success\"},on:{\"click\":function($event){return _vm.shareDatabases(0)}}},[_vm._v(\"Acknowledge and Continue\")]):_vm._e()],1),_c('br'),_c('br')],1)]),_c('b-modal',{attrs:{\"id\":\"modal-delete\",\"title\":\"Confirm Delete\",\"ok-only\":\"\",\"ok-title\":\"Close Window\",\"size\":\"xl\"},on:{\"show\":_vm.resetDeleteModal}},[_c('div',{staticStyle:{\"margin\":\"15px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"Are you sure you want to delete this database from DBCSI?\")]),_c('br'),_c('br'),( (this.deleteMessage==''))?_c('b-button',{attrs:{\"variant\":\"success\"},on:{\"click\":_vm.deleteCollection}},[_vm._v(\"Yes - Delete Database\")]):_vm._e(),_c('br'),_c('br'),_vm._v(\" \"+_vm._s(this.deleteMessage)+\" \")],1)]),_c('br'),_vm._v(\" This section provides some basic characteristics of your database. \"),_c('br'),((this.batchItems[0].AWR_MINER_VER != undefined && !( this.batchItems[0].AWR_MINER_VER.includes('aws') || this.batchItems[0].AWR_MINER_VER.includes('statspack') ) ))?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"Warning: This looks like the generic non-DBCSI AWR Miner script was used to collect metrics. DBCSI works best if you use the DBCSI-specific data collection script downloadable from the DBCSI Add page. Some DBCSI functionality will be missing.\"}}):_vm._e(),((this.batchItems[0].PLATFORM_NAME=='AIX-Based_Systems_(64-bit)'))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${this.batchItems[0].PLATFORM_NAME}]`),expression:\"`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${this.batchItems[0].PLATFORM_NAME}]`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/AIX.png\"),\"height\":\"16px\",\"title\":\"not x86\"}}):_vm._e(),((this.batchItems[0].PLATFORM_NAME=='Solaris[tm]_OE_(64-bit)'))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${this.batchItems[0].PLATFORM_NAME}]`),expression:\"`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${this.batchItems[0].PLATFORM_NAME}]`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/SPARC.png\"),\"height\":\"16px\",\"title\":\"not x86\"}}):_vm._e(),((this.batchItems[0].PLATFORM_NAME=='HP-UX_IA_(64-bit)'))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${this.batchItems[0].PLATFORM_NAME}]`),expression:\"`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${this.batchItems[0].PLATFORM_NAME}]`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/HPUX.png\"),\"height\":\"16px\",\"title\":\"not x86\"}}):_vm._e(),((this.batchItems[0].PLATFORM_NAME=='IBM_zSeries_Based_Linux'))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${this.batchItems[0].PLATFORM_NAME}]`),expression:\"`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${this.batchItems[0].PLATFORM_NAME}]`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/zSeries.png\"),\"height\":\"16px\",\"title\":\"not x86\"}}):_vm._e(),((this.batchItems[0].PLATFORM_NAME=='Microsoft_Windows_x86_64-bit'))?_c('img',{attrs:{\"src\":require(\"@/assets/WIN.png\"),\"height\":\"16px\"}}):_vm._e(),((this.batchItems[0].PLATFORM_NAME=='Solaris_Operating_System_(x86-64)'))?_c('img',{attrs:{\"src\":require(\"@/assets/SolarisX86.png\"),\"height\":\"16px\"}}):_vm._e(),((this.batchItems[0].IS_PDB=='YES') && (this.batchItems[0].CDB_collectionId==undefined) && (this.batchItems[0].cdb_target_comments==undefined))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is a PDB database. Collecting PDB-level IO metrics is problematic and we have seen data issues in Oracle's AWR tables.`),expression:\"`This is a PDB database. Collecting PDB-level IO metrics is problematic and we have seen data issues in Oracle's AWR tables.`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"PDB\",\"src\":require(\"@/assets/PDB.png\"),\"height\":\"20px\"}}):_vm._e(),((this.batchItems[0].IS_PDB=='YES') && (this.batchItems[0].CDB_collectionId==undefined) && (this.batchItems[0].cdb_target_comments!=undefined))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is a PDB database. Collecting PDB-level IO metrics is problematic and we have seen data issues in Oracle's AWR tables. ${(this.batchItems[0].cdb_target_comments==undefined) ? '' : this.batchItems[0].cdb_target_comments}`),expression:\"`This is a PDB database. Collecting PDB-level IO metrics is problematic and we have seen data issues in Oracle's AWR tables. ${(this.batchItems[0].cdb_target_comments==undefined) ? '' : this.batchItems[0].cdb_target_comments}`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"PDB\",\"src\":require(\"@/assets/PDB_NOCDB.png\"),\"height\":\"20px\"}}):_vm._e(),((this.batchItems[0].IS_PDB=='YES') && (this.batchItems[0].CDB_collectionId!=undefined))?_c('a',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is a PDB database. Collecting PDB-level IO metrics is problematic and we have seen data issues in Oracle's AWR tables. ${(this.batchItems[0].cdb_target_comments==undefined) ? '' : this.batchItems[0].cdb_target_comments}`),expression:\"`This is a PDB database. Collecting PDB-level IO metrics is problematic and we have seen data issues in Oracle's AWR tables. ${(this.batchItems[0].cdb_target_comments==undefined) ? '' : this.batchItems[0].cdb_target_comments}`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"PDB - Click on the PDB icon to view the CDB\",\"href\":`/batch/C${this.batchItems[0].CDB_collectionId}`,\"target\":\"_blank\"}},[_c('img',{attrs:{\"src\":require(\"@/assets/PDB_CDB.png\"),\"height\":\"20px\"}})]):_vm._e(),(!(this.batchItems[0].AWR_MINER_VER != undefined && !this.batchItems[0].AWR_MINER_VER.includes('aws')) && (this.batchItems[0].COUNT_LINES_PLSQL*1<20000))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Not much PLSQL (${this.batchItems[0].COUNT_LINES_PLSQL} lines). Consider migrating to PostgreSQL.`),expression:\"`Not much PLSQL (${this.batchItems[0].COUNT_LINES_PLSQL} lines). Consider migrating to PostgreSQL.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Postgres.png\"),\"height\":\"20px\",\"title\":\"PostgreSQL\"}}):_vm._e(),((this.batchItems[0].VERSION.substr(0,2)!='21')&&(this.batchItems[0].VERSION.substr(0,2)!='19'))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is an old version [${this.batchItems[0].VERSION}] of Oracle. Expect to upgrade it for RDS-Oracle.`),expression:\"`This is an old version [${this.batchItems[0].VERSION}] of Oracle. Expect to upgrade it for RDS-Oracle.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Upgrade.png\"),\"height\":\"20px\",\"title\":\"old Oracle version\"}}):_vm._e(),((this.batchItems[0].Exadata=='Yes')&&(this.batchItems[0].SmartScanEligible==undefined))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This database runs on Exadata.`),expression:\"`This database runs on Exadata.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"20px\",\"title\":\"Exadata\"}}):_vm._e(),((this.batchItems[0].Exadata=='Yes')&&(this.batchItems[0].SmartScanEligible!=undefined)&&(this.batchItems[0].SmartScanEligible<=500))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This database runs on Exadata. ${'Smart Scan Eligible= '+this.batchItems[0].SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.batchItems[0].StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.batchItems[0].ExadataAdjustmentText==undefined) ? '' : this.batchItems[0].ExadataAdjustmentText}`),expression:\"`This database runs on Exadata. ${'Smart Scan Eligible= '+this.batchItems[0].SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.batchItems[0].StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.batchItems[0].ExadataAdjustmentText==undefined) ? '' : this.batchItems[0].ExadataAdjustmentText}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Exadata1.png\"),\"height\":\"20px\",\"title\":\"Exadata - Minimal SmartScan Offload\"}}):_vm._e(),((this.batchItems[0].Exadata=='Yes')&&(this.batchItems[0].SmartScanEligible!=undefined)&&(this.batchItems[0].SmartScanEligible>500)&& (this.batchItems[0].SmartScanEligible<2000))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This database runs on Exadata. ${'Smart Scan Eligible= '+this.batchItems[0].SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.batchItems[0].StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.batchItems[0].ExadataAdjustmentText==undefined) ? '' : this.batchItems[0].ExadataAdjustmentText}`),expression:\"`This database runs on Exadata. ${'Smart Scan Eligible= '+this.batchItems[0].SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.batchItems[0].StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.batchItems[0].ExadataAdjustmentText==undefined) ? '' : this.batchItems[0].ExadataAdjustmentText}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Exadata2.png\"),\"height\":\"20px\",\"title\":\"Exadata - Moderate SmartScan Offload\"}}):_vm._e(),((this.batchItems[0].Exadata=='Yes')&&(this.batchItems[0].SmartScanEligible!=undefined)&&(this.batchItems[0].SmartScanEligible>2000)&& (this.batchItems[0].SmartScanEligible<8000))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This database runs on Exadata. ${'Smart Scan Eligible= '+this.batchItems[0].SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.batchItems[0].StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.batchItems[0].ExadataAdjustmentText==undefined) ? '' : this.batchItems[0].ExadataAdjustmentText}`),expression:\"`This database runs on Exadata. ${'Smart Scan Eligible= '+this.batchItems[0].SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.batchItems[0].StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.batchItems[0].ExadataAdjustmentText==undefined) ? '' : this.batchItems[0].ExadataAdjustmentText}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Exadata3.png\"),\"height\":\"20px\",\"title\":\"Exadata - Medium SmartScan Offload\"}}):_vm._e(),((this.batchItems[0].Exadata=='Yes')&&(this.batchItems[0].SmartScanEligible!=undefined)&&(this.batchItems[0].SmartScanEligible>8000))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This database runs on Exadata. ${'Smart Scan Eligible= '+this.batchItems[0].SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.batchItems[0].StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.batchItems[0].ExadataAdjustmentText==undefined) ? '' : this.batchItems[0].ExadataAdjustmentText}`),expression:\"`This database runs on Exadata. ${'Smart Scan Eligible= '+this.batchItems[0].SmartScanEligible.toFixed(0)+'MB/s Storage Index Savings= '+this.batchItems[0].StorageIndexSavings.toFixed(0)+'MB/s'} ${(this.batchItems[0].ExadataAdjustmentText==undefined) ? '' : this.batchItems[0].ExadataAdjustmentText}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Exadata4.png\"),\"height\":\"20px\",\"title\":\"Exadata - Heavy SmartScan Offload\"}}):_vm._e(),((this.batchItems[0].IOPS*1>0) && (this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024 <= 30))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting OLTP-style workloads.`),expression:\"`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting OLTP-style workloads.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/OLTP1.png\"),\"height\":\"20px\",\"title\":\"OLTP-DW Spectrum Estimation\"}}):_vm._e(),((this.batchItems[0].IOPS*1>0) && (this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024 > 30) && (this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024 <= 120))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting OLTP-style workloads with some mixed workloads.`),expression:\"`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting OLTP-style workloads with some mixed workloads.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/OLTP2.png\"),\"height\":\"20px\",\"title\":\"OLTP-DW Spectrum Estimation\"}}):_vm._e(),((this.batchItems[0].IOPS*1>0) && (this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024 > 120) && (this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024 <= 400))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting mixed and/or DW workloads.`),expression:\"`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting mixed and/or DW workloads.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/OLTP3.png\"),\"height\":\"20px\",\"title\":\"OLTP-DW Spectrum Estimation\"}}):_vm._e(),((this.batchItems[0].IOPS*1>0) && (this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024 > 400))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting DW-style workloads.`),expression:\"`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting DW-style workloads.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/OLTP4.png\"),\"height\":\"20px\",\"title\":\"OLTP-DW Spectrum Estimation\"}}):_vm._e(),(!(this.batchItems[0].AWR_MINER_VER != undefined && !this.batchItems[0].AWR_MINER_VER.includes('aws')) && (this.batchItems[0].SE2=='Yes') && (this.batchItems[0].VCPU==undefined || (this.batchItems[0].VCPU*1<=16)) && (this.batchItems[0].Throughput==undefined || (this.batchItems[0].Throughput*1<=1250)) && (this.batchItems[0].IOPS==undefined || (this.batchItems[0].IOPS*1<=40000)) && (this.batchItems[0].Memory==undefined || (this.batchItems[0].Memory*1<=128)))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Consider evaluating this database for Oracle Standard Edition2. At first glance, DBCSI did not find too many different types of EE features such as Partitioning, Bitmap Indexes, Parallel Query, and VPD/ FGA/ Data Redaction. ${this.batchItems[0].SE2_Comments}`),expression:\"`Consider evaluating this database for Oracle Standard Edition2. At first glance, DBCSI did not find too many different types of EE features such as Partitioning, Bitmap Indexes, Parallel Query, and VPD/ FGA/ Data Redaction. ${this.batchItems[0].SE2_Comments}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/SE2.png\"),\"height\":\"20px\",\"title\":\"Standard Edition2\"}}):_vm._e(),_c('b-alert',{attrs:{\"show\":_vm.showPDBalert,\"variant\":\"warning\"}},[_vm._v(\"Warning: This is a PDB. PDB support for DBCSI is still evolving. We encourage you to also collect data from the CDB database to help DBCSI sanity-check the PDB-level metrics. And we encourage you to use the newer \"),_c('router-link',{attrs:{\"to\":{ name: 'Batch', params: {batch_id: this.shareMode ? this.param_collection_id : ('C' + this.collection_id) } }}},[_vm._v(\"Auto-Right-Sizer\")]),_vm._v(\" functionality which has better support. On this page, some of the PDB charts and the sizing suggestions may not function fully.\")],1),_c('div',{attrs:{\"id\":\"demo\"}},[_c('b-table',{staticClass:\"table table-sm\",attrs:{\"striped\":\"\",\"hover\":\"\",\"bordered\":\"\",\"fixed\":\"\",\"items\":_vm.genItems},scopedSlots:_vm._u([{key:\"cell(value)\",fn:function(row){return [(row.item.name == 'DESCRIPTION')?_c('b-form-textarea',{model:{value:(row.item.value),callback:function ($$v) {_vm.$set(row.item, \"value\", $$v)},expression:\"row.item.value\"}}):_vm._e(),(row.item.name == 'DATABASE')?_c('b-form-input',{model:{value:(row.item.value),callback:function ($$v) {_vm.$set(row.item, \"value\", $$v)},expression:\"row.item.value\"}}):_vm._e(),((row.item.name == 'SE2_ANALYSIS'))?_c('div',[_vm._v(_vm._s(_vm.batchItems[0].SE2_Comments))]):_vm._e(),(!(row.item.name == 'DESCRIPTION' || row.item.name == 'DATABASE' || row.item.name == 'SE2_ANALYSIS'))?_c('div',[_vm._v(_vm._s(row.item.value)+\" \"),(row.item.name == 'NUM_CPUS')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the number of operating system CPUs (aka threads) seen by Oracle on a single node. Source: DBA_HIST_OSSTAT or STATS$OSSTAT\"}}):_vm._e(),(row.item.name == 'NUM_CPU_CORES')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the number of hardware cores detected by Oracle on a single node. Source: DBA_HIST_OSSTAT or STATS$OSSTAT\"}}):_vm._e(),(row.item.name == 'GLOBAL_CPU_COUNT')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the number of operating system CPUs (aka threads) seen by Oracle across all nodes. Source: DBA_CPU_USAGE _STATISTICS\"}}):_vm._e(),(row.item.name == 'GLOBAL_CPU_CORE_COUNT')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the number of hardware cores detected by Oracle across all nodes. Source: DBA_CPU_USAGE _STATISTICS\"}}):_vm._e(),(row.item.name == 'TOTAL_DB_SIZE_GB')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the total size of all data files and temp files. Source: DBA_DATA_FILES and DBA_TEMP_FILES\"}}):_vm._e(),(row.item.name == 'TOTAL_DATAFILE_SIZE_GB')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the total size of all data files. Source: DBA_DATA_FILES\"}}):_vm._e(),(row.item.name == 'USED_DB_SIZE_GB')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the total size of all segments. Source: DBA_SEGMENTS\"}}):_vm._e(),(row.item.name == 'HOSTS')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Source: DBA_HIST_ DATABASE_INSTANCE or STATS$ DATABASE_INSTANCE\"}}):_vm._e(),(row.item.name == 'HOSTS_CURRENT')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Source: GV$INSTANCE\"}}):_vm._e(),(row.item.name == 'HOST_CONNECTED')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"The host of the database instance used to collect data.\"}}):_vm._e(),(row.item.name == 'INSTANCE#_CONNECTED')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"The database instance number used to collect data. 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These charts show you how your database's metrics compare relative to other databases. The horizontal axis is the metric displayed using a logarithmic scale. The vertical axis represents the percentile for databases ordered by the metric. 0 on the vertical axis is the smallest database for that metric. 50 on the vertical axis represents the database with the median value. 100 on the vertical axis represents the largest database for that metric. Each database is plotted as a dot showing its metric value and its percentile.\")])]),(_vm.showCollapseSummary)?_c('scatterchartcontainer',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the total size of the database data files and temp files in GB.'),expression:\"'This shows the total size of the database data files and temp files in GB.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Database Size (GB)\",\"chart_id\":\"TOTAL_DB_SIZE_GB\",\"reflines\":\"true\",\"linear\":\"false\",\"refpoint\":this.gen_db_size,\"units\":\"GB\",\"color\":\"#3e95cd\",\"scale\":\"1\",\"title\":\"Database Size (GB)\"}}):_vm._e(),(_vm.showCollapseSummary)?_c('scatterchartcontainer',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the 99th Percentile value of the Average # of CPU threads used by the database during each snapshot time period using the Oracle metric: (CPU Usage Per Sec). For a RAC cluster, this chart aggregates the usage across all instances.'),expression:\"'This shows the 99th Percentile value of the Average # of CPU threads used by the database during each snapshot time period using the Oracle metric: (CPU Usage Per Sec). For a RAC cluster, this chart aggregates the usage across all instances.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"CPU Threads\",\"chart_id\":\"blended_cpu1\",\"reflines\":\"true\",\"linear\":\"false\",\"refpoint\":this.blended_cpu1,\"units\":\"threads\",\"color\":\"orange\",\"scale\":\"100\",\"title\":\"CPU Threads\"}}):_vm._e(),(_vm.showCollapseSummary)?_c('scatterchartcontainer',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the Average of the Peak IOPS rate (Database IO Requests/second) during each snapshot time period using the Oracle metrics: (Physical Read Total IO Requests Per Sec, Physical Write Total IO Requests Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances.'),expression:\"'This shows the Average of the Peak IOPS rate (Database IO Requests/second) during each snapshot time period using the Oracle metrics: (Physical Read Total IO Requests Per Sec, Physical Write Total IO Requests Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"IOPS\",\"chart_id\":\"blended_iops1\",\"reflines\":\"true\",\"linear\":\"false\",\"refpoint\":this.blended_iops1,\"units\":\"IOPS\",\"color\":\"green\",\"scale\":\"1\",\"title\":\"IOPS\"}}):_vm._e(),(_vm.showCollapseSummary)?_c('scatterchartcontainer',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the Average of the Peak IO throughput rates (MB/s) during each snapshot time period using the Oracle metrics: (Physical Read Total Bytes Per Sec, Physical Write Total Bytes Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances.'),expression:\"'This shows the Average of the Peak IO throughput rates (MB/s) during each snapshot time period using the Oracle metrics: (Physical Read Total Bytes Per Sec, Physical Write Total Bytes Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"IO Throughput (MB/s)\",\"chart_id\":\"blended_iomb1\",\"reflines\":\"true\",\"linear\":\"false\",\"refpoint\":this.blended_iomb1,\"units\":\"MB/s\",\"color\":\"red\",\"scale\":\"1\",\"title\":\"IO Throughput (MB/s)\"}}):_vm._e(),(_vm.showCollapseSummary)?_c('scatterchartcontainer',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the total number of database tables.'),expression:\"'This shows the total number of database tables.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Database Tables\",\"chart_id\":\"COUNT_TABLE\",\"reflines\":\"true\",\"linear\":\"false\",\"refpoint\":this.count_table,\"units\":\"Tables\",\"color\":\"purple\",\"scale\":\"1\",\"title\":\"Database Tables\"}}):_vm._e(),(_vm.showCollapseSummary)?_c('scatterchartcontainer',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the total number of lines of PLSQL.'),expression:\"'This shows the total number of lines of PLSQL.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Lines of PLSQL\",\"chart_id\":\"COUNT_LINES_PLSQL\",\"reflines\":\"true\",\"linear\":\"false\",\"refpoint\":this.count_lines_plsql,\"units\":\"Lines\",\"color\":\"purple\",\"scale\":\"1\",\"title\":\"Lines of PLSQL\"}}):_vm._e()],1),_c('a',{staticClass:\"card-link\",attrs:{\"href\":\"#\"}},[_vm._v(\"Top of Page\")]),_c('b-link',{staticClass:\"card-link\",attrs:{\"href\":\"/\"}},[_vm._v(\"Home Page\")])],1)],1)],1),_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionCPU\",modifiers:{\"accordionCPU\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"info\"}},[_vm._v(\"CPU Metrics \"+_vm._s(this.instanceLabel))])],1),_c('b-collapse',{attrs:{\"id\":\"accordionCPU\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseCPU),callback:function ($$v) {_vm.showCollapseCPU=$$v},expression:\"showCollapseCPU\"}},[_c('b-card-body',[_vm._v(\" This section provides CPU metrics for the database. \"),_c('b-form-checkbox',{attrs:{\"switch\":\"\"},model:{value:(_vm.showHostCPU),callback:function ($$v) {_vm.showHostCPU=$$v},expression:\"showHostCPU\"}},[_vm._v(\"Show Additional CPU Metrics\")]),_c('b-form-checkbox',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Toggling this value will close the current section of charts to change the setting. Simply re-open this section to see the updated charts.'),expression:\"'Toggling this value will close the current section of charts to change the setting. Simply re-open this section to see the updated charts.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"switch\":\"\"},on:{\"change\":function($event){return _vm.check('CPU')}},model:{value:(_vm.showReflinesCPU),callback:function ($$v) {_vm.showReflinesCPU=$$v},expression:\"showReflinesCPU\"}},[_vm._v(\"Show Reference Lines\")]),(this.instances>1)?_c('b-form-select',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Changing this value will close the certain sections of charts mapped to this setting. Simply re-open those sections to see the updated charts for the selected RAC Instance or Cluster-wide.'),expression:\"'Changing this value will close the certain sections of charts mapped to this setting. Simply re-open those sections to see the updated charts for the selected RAC Instance or Cluster-wide.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"options\":_vm.instanceChoices,\"size\":\"sm\"},on:{\"change\":function($event){return _vm.check('ALL')}},model:{value:(_vm.instanceMetrics),callback:function ($$v) {_vm.instanceMetrics=$$v},expression:\"instanceMetrics\"}}):_vm._e(),_c('div',{staticClass:\"Chart__list\"},[_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Use this chart to help identify a target baseline of CPU threads needed for this database.'),expression:\"'Use this chart to help identify a target baseline of CPU threads needed for this database.'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Average Database CPU Usage \"+_vm._s(this.instanceLabel))]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"This shows the average # of CPU threads used by the database during each snapshot time period using the Oracle metric: (CPU Usage Per Sec). It can be greater than 1 when multiple CPU threads at active at the same time. For a RAC cluster, this chart aggregates the usage across all instances. Use this chart to help identify a target baseline of CPU threads needed for this database.\")])]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[(_vm.showAlertNonX86)?_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The following chart shows the unmodified CPU usage metrics from the source non-x86 platform and does NOT reflect the CPU Thread Mapping ratio adjustment.\")]):_vm._e(),(_vm.showAIX)?_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\" The chart also does NOT reflect the AIX Power SMT CPU time adjustment.\")]):_vm._e()]),(_vm.showCollapseCPU)?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"CPU Usage\",\"chart_id\":\"cpu_per_s\",\"reflines\":this.showReflinesCPU,\"instance_num\":this.instanceMetrics,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1),_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Use this chart, along with the above Average Database CPU Usage chart, to help identify a target baseline of CPU threads needed for this database.'),expression:\"'Use this chart, along with the above Average Database CPU Usage chart, to help identify a target baseline of CPU threads needed for this database.'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Peak (non-sustained) Database CPU Usage \"+_vm._s(this.instanceLabel))]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\" This shows the peak # of CPU threads used by the database during each snapshot time period using the Oracle metric: (CPU Usage Per Sec). It can be greater than 1 when multiple CPU threads at active at the same time. For a RAC cluster, this chart aggregates the usage across all instances. Use this chart, along with the above Average Database CPU Usage chart, to help identify a target baseline of CPU threads needed for this database. Be sure to run the latest DBCSI data collection SQL script if you do not see any data.\")])]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[(_vm.showAlertNonX86)?_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The following chart shows the unmodified CPU usage metrics from the source non-x86 platform and does NOT reflect the CPU Thread Mapping ratio adjustment.\")]):_vm._e(),(_vm.showAIX)?_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\" The chart also does NOT reflect the AIX Power SMT CPU time adjustment.\")]):_vm._e()]),(_vm.showCollapseCPU)?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"CPU Usage\",\"chart_id\":\"cpu_per_s_max\",\"reflines\":this.showReflinesCPU,\"instance_num\":this.instanceMetrics,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1),_c('div',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.showHostCPU),expression:\"showHostCPU\"},{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This chart is mostly for informational purposes-- use this chart to get an understanding if other databases or other programs are running on the same host (or hosts in the case of an Oracle RAC cluster).'),expression:\"'This chart is mostly for informational purposes-- use this chart to get an understanding if other databases or other programs are running on the same host (or hosts in the case of an Oracle RAC cluster).'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Comparison: Average CPU Usage, Database versus Entire Host \"+_vm._s(this.instanceLabel))]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\" This compares the average # CPU threads used for this database versus the entire host. It is comparing these Oracle metrics: (CPU Usage Per Sec, Host CPU Per Sec). This chart is mostly for informational purposes-- use this chart to get an understanding if other databases or other programs are running on the same host (or hosts in the case of an Oracle RAC cluster). This is a non-stacked chart.\")])]),(_vm.showCollapseCPU && _vm.showHostCPU)?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"DB CPU Usage:Entire Host CPU Usage\",\"chart_id\":\"CPUWITHHOST\",\"stacked\":\"false\",\"reflines\":\"false\",\"instance_num\":this.instanceMetrics,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1),_c('div',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.showHostCPU),expression:\"showHostCPU\"},{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This chart is mostly for informational purposes-- typically you would use the Database CPU Usage charts to determine your target baseline of CPU threads needed for the database.'),expression:\"'This chart is mostly for informational purposes-- typically you would use the Database CPU Usage charts to determine your target baseline of CPU threads needed for the database.'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Entire Host: Average CPU Usage \"+_vm._s(this.instanceLabel))]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\" This shows the average # of CPU threads used by the entire host during each snapshot time period. This is the Oracle metric: (Host CPU Usage Per Sec). It can be greater than 1 when multiple CPU threads at active at the same time. For a RAC cluster, this chart aggregates the usage across all instances. This chart is mostly for informational purposes-- typically you would use the Database CPU Usage charts to determine your target baseline of CPU threads needed for the database.\")])]),(_vm.showCollapseCPU && _vm.showHostCPU)?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Entire Host CPU Usage\",\"chart_id\":\"h_cpu_per_s\",\"reflines\":this.showReflinesCPU,\"instance_num\":this.instanceMetrics,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1),_c('div',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.showHostCPU),expression:\"showHostCPU\"},{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This chart is mostly for informational purposes-- typically you would use the Database CPU Usage charts to determine your target baseline of CPU threads needed for the database.'),expression:\"'This chart is mostly for informational purposes-- typically you would use the Database CPU Usage charts to determine your target baseline of CPU threads needed for the database.'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Entire Host: Peak (non-sustained) CPU Usage \"+_vm._s(this.instanceLabel))]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\" This shows the peak # of CPU threads used by the entire host during each snapshot time period. This is the Oracle metric: (Host CPU Usage Per Sec). It can be greater than 1 when multiple CPU threads at active at the same time. For a RAC cluster, this chart aggregates the usage across all instances. This chart is mostly for informational purposes-- typically you would use the Database CPU Usage charts to determine your target baseline of CPU threads needed for the database. Be sure to run the latest DBCSI data collection SQL script if you do not see any data. \")])]),(_vm.showCollapseCPU && _vm.showHostCPU)?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Entire Host CPU Usage\",\"chart_id\":\"h_cpu_per_s_max\",\"reflines\":this.showReflinesCPU,\"instance_num\":this.instanceMetrics,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1)]),((this.IS_PDB=='YES'))?_c('div',{staticClass:\"Chart__list\"},[_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Use this chart to help identify a target baseline of CPU threads needed for this database.'),expression:\"'Use this chart to help identify a target baseline of CPU threads needed for this database.'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"PDB CPU Usage - Extra Chart \"+_vm._s(this.instanceLabel))]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"Because collecting metrics from PDBs can be difficult, we have collected CPU metrics from a 2nd data source so that you can compare it. This chart shows the average # of CPU threads used by the database during each snapshot time period using the Oracle metric: (CPU_CONSUMED_TIME from DBA_HIST_RSRC_PDB_METRIC). Values at the PDB-level are sanity-checked against the CDB (if found in DBCSI) or against typical thresholds, and outliers are not shown. It can be greater than 1 when multiple CPU threads at active at the same time. For a RAC cluster, this chart aggregates the usage across all instances. Use this chart to help identify a target baseline of CPU threads needed for this database.\")])]),(_vm.showCollapseCPU)?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Average DB CPU Usage for the PDB\",\"chart_id\":\"PDB_CPU_USAGE_PER_S\",\"reflines\":this.showReflinesCPU,\"instance_num\":this.instanceMetrics,\"filter\":`${(this.IS_PDB=='YES') ? this.batchItems[0].CDB_VCPU*2 : 0}`,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1)]):_vm._e(),_c('br'),_c('b-card',[_c('b-alert',{attrs:{\"show\":_vm.showAlertNonX86,\"variant\":\"warning\"}},[_vm._v(_vm._s(_vm.alertTextNonX86))]),(_vm.showAlertNonX86)?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('The Thread Mapping Ratio is the number of source system threads that are equivalent to 1 Intel thread. For instance, for a SPARC T4, you might enter 5. You can use industry benchmarks such as SPECINT to compare thread-to-thread performance for different chipsets to derive the ratio to use.'),expression:\"'The Thread Mapping Ratio is the number of source system threads that are equivalent to 1 Intel thread. For instance, for a SPARC T4, you might enter 5. You can use industry benchmarks such as SPECINT to compare thread-to-thread performance for different chipsets to derive the ratio to use.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"label\":\"CPU Thread Mapping Ratio:\",\"label-cols\":\"3\"}},[_c('b-form-input',{attrs:{\"type\":\"number\",\"step\":\"0.01\",\"placeholder\":`Ratio to map ${this.gen_platform} threads to Intel threads`},on:{\"input\":function($event){return _vm.autosuggest('CPU')}},model:{value:(_vm.form.cpu_thread_ratio),callback:function ($$v) {_vm.$set(_vm.form, \"cpu_thread_ratio\", $$v)},expression:\"form.cpu_thread_ratio\"}})],1):_vm._e(),(_vm.showAIX)?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('The AIX Power SMT CPU Time Adjustment tries to normalize AIX CPU metrics to what Oracle reports on non-AIX platforms. This adjustment accounts for so-called missing time for Oracle usage on Power7 and newer AIX hardware. Refer to https://ardentperf.com/2016/07/01/understanding-cpu-on-aix-power-smt-systems/ for additional reading.'),expression:\"'The AIX Power SMT CPU Time Adjustment tries to normalize AIX CPU metrics to what Oracle reports on non-AIX platforms. This adjustment accounts for so-called missing time for Oracle usage on Power7 and newer AIX hardware. Refer to https://ardentperf.com/2016/07/01/understanding-cpu-on-aix-power-smt-systems/ for additional reading.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"AIX Power CPU Usage Time Adjustment:\",\"label-cols\":\"3\"}},[_c('b-form-select',{on:{\"change\":function($event){return _vm.autosuggest('CPU')}},model:{value:(_vm.form.aix_algo),callback:function ($$v) {_vm.$set(_vm.form, \"aix_algo\", $$v)},expression:\"form.aix_algo\"}},[_c('option',{attrs:{\"value\":\"old\"}},[_vm._v(\"Multiply the measured CPU usage of AIX by 8 for SMT-8 and by 4 for SMT-4 (previous default algorithm but we now think this was too extreme)\")]),_c('option',{attrs:{\"value\":\"new\"}},[_vm._v(\"Multiply the measured CPU usage of AIX by 4 for SMT-8 and by 2.5 for SMT-4\")]),_c('option',{attrs:{\"value\":\"new2\"}},[_vm._v(\"Multiply the measured CPU usage of AIX by 2.0 for SMT-8 and by 1.8 for SMT-4\")]),_c('option',{attrs:{\"value\":\"none\"}},[_vm._v(\"Do not try to adjust for AIX SMT CPU time reporting (good for Power6 and earlier hardware)\")])])],1):_vm._e(),(_vm.IS_PDB=='YES')?_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover.top\",value:('You can use this control to tell DBCSI what Oracle AWR data source to use for PDB-level metrics. In some cases, Oracle AWR seems to mis-report PDB-level metrics (such as surprisingly low or high values) and you can tell DBCSI to use data from the other AWR table to work-around this AWR problem.'),expression:\"'You can use this control to tell DBCSI what Oracle AWR data source to use for PDB-level metrics. In some cases, Oracle AWR seems to mis-report PDB-level metrics (such as surprisingly low or high values) and you can tell DBCSI to use data from the other AWR table to work-around this AWR problem.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"label\":\"PDB Metric Data Source:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":function($event){return _vm.autosuggest('CPU')}},model:{value:(_vm.form.pdb_algo),callback:function ($$v) {_vm.$set(_vm.form, \"pdb_algo\", $$v)},expression:\"form.pdb_algo\"}},[_c('option',{attrs:{\"value\":\"pdb1\"}},[_vm._v(\"Use Oracle's DBA_HIST_CON_SYSMETRIC_SUMM table for PDB-level CPU \")]),_c('option',{attrs:{\"value\":\"pdb2\"}},[_vm._v(\"Use Oracle's DBA_HIST_RSRC_PDB_METRIC table for PDB-level CPU \")])])],1):_vm._e(),_c('b-form-group',{attrs:{\"label\":\"Auto Suggest Algorithm:\",\"label-cols\":\"3\"}},[_c('b-form-select',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Choose different algorithms to see the value suggested based on that algorithm'),expression:\"'Choose different algorithms to see the value suggested based on that algorithm'\",modifiers:{\"hover\":true,\"top\":true}}],on:{\"change\":function($event){return _vm.autosuggest('CPU')}},model:{value:(_vm.form.cpu_algo),callback:function ($$v) {_vm.$set(_vm.form, \"cpu_algo\", $$v)},expression:\"form.cpu_algo\"}},[_c('option',{attrs:{\"value\":\"cpu1\"}},[_vm._v(\"P99 of the averages\")]),_c('option',{attrs:{\"value\":\"cpu1_plus10\"}},[_vm._v(\"P99 of the averages, plus 10%\")]),_c('option',{attrs:{\"value\":\"cpu2\"}},[_vm._v(\"P90 of the peaks\")]),_c('option',{attrs:{\"value\":\"cpu2_plus10\"}},[_vm._v(\"P90 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"cpu3\"}},[_vm._v(\"Larger of the P99 of the averages OR the P90 of the peaks\")]),_c('option',{attrs:{\"value\":\"cpu3_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P90 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"cpu4\"}},[_vm._v(\"Larger of the P99 of the averages OR the P97 of the peaks\")]),_c('option',{attrs:{\"value\":\"cpu4_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P97 of the peaks, plus 10%\")])])],1),_vm._v(\" Suggested vCPUs: \"+_vm._s(_vm.suggestions.VCPU)+\" \"),_c('br'),((this.suggestions.cpu_target_comments!=undefined)&&(this.suggestions.cpu_target_comments!=''))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${this.suggestions.cpu_target_comments}`),expression:\"`${this.suggestions.cpu_target_comments}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Adjustments\"}}):_vm._e(),_vm._v(_vm._s(_vm.suggestions.cpu_target_comments)+\" \")],1),_c('br'),_c('b-form-group',{attrs:{\"label\":\"Desired VCPUs\",\"label-cols\":\"4\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"placeholder\":\"Enter desired # of VCPUs\"},model:{value:(_vm.ec2.VCPU),callback:function ($$v) {_vm.$set(_vm.ec2, \"VCPU\", $$v)},expression:\"ec2.VCPU\"}})],1),_c('b-form-textarea',{attrs:{\"id\":\"textarea4\",\"placeholder\":\"Type your CPU comments/notes here.\",\"rows\":3,\"max-rows\":6},model:{value:(_vm.comments.CPU),callback:function ($$v) {_vm.$set(_vm.comments, \"CPU\", $$v)},expression:\"comments.CPU\"}}),_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"submit\",\"title\":\"Save user inputs to the database\",\"block\":\"\",\"variant\":\"outline-success\"}},[_vm._v(\"Save Page\")]),_c('a',{staticClass:\"card-link\",attrs:{\"href\":\"#\"}},[_vm._v(\"Top of Page\")]),_c('b-link',{staticClass:\"card-link\",attrs:{\"href\":\"/\"}},[_vm._v(\"Home Page\")])],1)],1)],1),_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionMemory\",modifiers:{\"accordionMemory\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"info\"}},[_vm._v(\"Memory Metrics \"+_vm._s(this.instanceLabel))])],1),_c('b-collapse',{attrs:{\"id\":\"accordionMemory\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseMemory),callback:function ($$v) {_vm.showCollapseMemory=$$v},expression:\"showCollapseMemory\"}},[_c('b-card-body',[_vm._v(\" This section provides information about database memory allocation. \"),(this.instances>1)?_c('b-form-select',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Changing this value will close the certain sections of charts mapped to this setting. Simply re-open those sections to see the updated charts for the selected RAC Instance or Cluster-wide.'),expression:\"'Changing this value will close the certain sections of charts mapped to this setting. Simply re-open those sections to see the updated charts for the selected RAC Instance or Cluster-wide.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"options\":_vm.instanceChoices,\"size\":\"sm\"},on:{\"change\":function($event){return _vm.check('ALL')}},model:{value:(_vm.instanceMetrics),callback:function ($$v) {_vm.instanceMetrics=$$v},expression:\"instanceMetrics\"}}):_vm._e(),_c('div',{staticClass:\"Chart__list\"},[_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Use this chart to help select a target memory configuration for this database.'),expression:\"'Use this chart to help select a target memory configuration for this database.'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Memory Allocation (GB) \"+_vm._s(this.instanceLabel))]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\" This shows the combined allocated size in GB of the SGA and PGA. For Oracle RAC clusters, the sizes are the aggregate across all instances. Use this chart to help select a target memory configuration for this database (be sure to allow for some additional memory for the operating system). This is a stacked chart.\")])]),(_vm.showCollapseMemory && (this.IS_PDB=='YES'))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"PDB SGA:PDB PGA\",\"chart_id\":\"MEMORYPDB\",\"stacked\":\"true\",\"reflines\":\"false\",\"instance_num\":this.instanceMetrics,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e(),(_vm.showCollapseMemory && ((this.IS_PDB== undefined) || (this.IS_PDB!='YES')))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"SGA:PGA\",\"chart_id\":\"MEMORY\",\"stacked\":\"true\",\"reflines\":\"false\",\"instance_num\":this.instanceMetrics,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1)]),_c('b-card',[_c('b-form-group',{attrs:{\"label\":\"Auto Suggest Algorithm:\",\"label-cols\":\"3\"}},[_c('b-form-select',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Adjusted for RAC means that each additional RAC instance adds 50% (not 100%) of its SGA+PGA to the target memory value. The idea is that in a RAC environment, the same blocks are kept in multiple RAC instances block buffers, so it is not as if you were getting 100% benefit of the aggregate total amount of memory.'),expression:\"'Adjusted for RAC means that each additional RAC instance adds 50% (not 100%) of its SGA+PGA to the target memory value. The idea is that in a RAC environment, the same blocks are kept in multiple RAC instances block buffers, so it is not as if you were getting 100% benefit of the aggregate total amount of memory.'\",modifiers:{\"hover\":true,\"top\":true}}],on:{\"change\":function($event){return _vm.autosuggest('MEMORY')}},model:{value:(_vm.form.memory_algo),callback:function ($$v) {_vm.$set(_vm.form, \"memory_algo\", $$v)},expression:\"form.memory_algo\"}},[_c('option',{attrs:{\"value\":\"mem1\"}},[_vm._v(\"sum(SGA+PGA)\")]),_c('option',{attrs:{\"value\":\"mem1_plus20_2\"}},[_vm._v(\"sum(SGA+PGA), plus greater of 2GB or 20%\")]),_c('option',{attrs:{\"value\":\"mem2\"}},[_vm._v(\"sum(SGA+PGA) adjusted for RAC\")]),_c('option',{attrs:{\"value\":\"mem2_plus20_2\"}},[_vm._v(\"sum(SGA+PGA) adjusted for RAC, plus greater of 2GB or 20%\")])])],1),(_vm.IS_EXADATA)?_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",value:('When moving away from Exadata, a common technique is to increasing the memory allocation for the buffer cache.'),expression:\"'When moving away from Exadata, a common technique is to increasing the memory allocation for the buffer cache.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Boost post-Exadata Memory target?:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":function($event){return _vm.autosuggest('MEMORY')}},model:{value:(_vm.form.exa_memory_algo),callback:function ($$v) {_vm.$set(_vm.form, \"exa_memory_algo\", $$v)},expression:\"form.exa_memory_algo\"}},[_c('option',{attrs:{\"value\":\"em0\"}},[_vm._v(\"No - leave Memory target alone\")]),_c('option',{attrs:{\"value\":\"em1\"}},[_vm._v(\"Yes - favor a bigger Memory target to ease post-Exadata transition\")])])],1):_vm._e(),_vm._v(\" Suggested Memory: \"+_vm._s(_vm.suggestions.Memory)+\" \"),_c('br'),_vm._v(\" \"),((this.suggestions.memory_target_comments!=undefined)&&(this.suggestions.memory_target_comments!=''))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${this.suggestions.memory_target_comments}`),expression:\"`${this.suggestions.memory_target_comments}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Adjustments\"}}):_vm._e(),_vm._v(\" \"+_vm._s(_vm.suggestions.memory_target_comments)+\" \")],1),_c('br'),_c('b-form-group',{attrs:{\"label\":\"Desired Memory (GB)\",\"label-cols\":\"4\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"placeholder\":\"Enter desired amount of Memory in GB\"},model:{value:(_vm.ec2.Memory),callback:function ($$v) {_vm.$set(_vm.ec2, \"Memory\", $$v)},expression:\"ec2.Memory\"}})],1),_c('b-form-textarea',{attrs:{\"id\":\"textarea5\",\"placeholder\":\"Type your memory comments/notes here.\",\"rows\":3,\"max-rows\":6},model:{value:(_vm.comments.Memory),callback:function ($$v) {_vm.$set(_vm.comments, \"Memory\", $$v)},expression:\"comments.Memory\"}}),_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"submit\",\"title\":\"Save user inputs to the database\",\"block\":\"\",\"variant\":\"outline-success\"}},[_vm._v(\"Save Page\")]),_c('a',{staticClass:\"card-link\",attrs:{\"href\":\"#\"}},[_vm._v(\"Top of Page\")]),_c('b-link',{staticClass:\"card-link\",attrs:{\"href\":\"/\"}},[_vm._v(\"Home Page\")])],1)],1)],1),_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionIOPS\",modifiers:{\"accordionIOPS\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"info\"}},[_vm._v(\"IOPS Metrics \"+_vm._s(this.instanceLabel))])],1),_c('b-collapse',{attrs:{\"id\":\"accordionIOPS\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseIOPS),callback:function ($$v) {_vm.showCollapseIOPS=$$v},expression:\"showCollapseIOPS\"}},[_c('b-card-body',[_vm._v(\" These I/O metrics are stacked charts (the reads are drawn above the writes) to allow you to see the combined writes+reads visually. \"),_c('b-form-checkbox',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Toggling this value will close the current section of charts to change the setting. Simply re-open this section to see the updated charts.'),expression:\"'Toggling this value will close the current section of charts to change the setting. Simply re-open this section to see the updated charts.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"switch\":\"\"},on:{\"change\":function($event){return _vm.check('IO')}},model:{value:(_vm.showReflines),callback:function ($$v) {_vm.showReflines=$$v},expression:\"showReflines\"}},[_vm._v(\"Show Reference Lines\")]),(this.instances>1)?_c('b-form-select',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Changing this value will close the certain sections of charts mapped to this setting. Simply re-open those sections to see the updated charts for the selected RAC Instance or Cluster-wide.'),expression:\"'Changing this value will close the certain sections of charts mapped to this setting. Simply re-open those sections to see the updated charts for the selected RAC Instance or Cluster-wide.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"options\":_vm.instanceChoices,\"size\":\"sm\"},on:{\"change\":function($event){return _vm.check('ALL')}},model:{value:(_vm.instanceMetrics),callback:function ($$v) {_vm.instanceMetrics=$$v},expression:\"instanceMetrics\"}}):_vm._e(),_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Use this chart to help select a target baseline for IOPS for this database.'),expression:\"'Use this chart to help select a target baseline for IOPS for this database.'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Average IOPS (IO Requests/second) \"+_vm._s(this.instanceLabel))]),((this.IS_PDB=='YES'))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart shows the average IOPS during each snapshot time period using the Oracle metric: (IOPS from DBA_HIST_RSRC_PDB_METRIC). This is a PDB-specific metric and may not include some IOPS that happen at the CDB-level. For a RAC Cluster, the chart aggregates the metrics across all the instances. Use this chart to help select a target baseline for IOPS for this database.\")])]):_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\" This shows the average rate (Database IO Requests/second) during each snapshot time period using the Oracle metrics: (Physical Read Total IO Requests Per Sec, Physical Write Total IO Requests Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances. Use this chart to help select a target baseline for IOPS for this database. This is a stacked chart. \")])]),(_vm.showCollapseIOPS && (this.IS_PDB=='YES'))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Average IOPS for the PDB\",\"chart_id\":\"PDB_IOPS\",\"reflines\":this.showReflines,\"instance_num\":this.instanceMetrics,\"filter\":`${(this.IS_PDB=='YES') ? this.batchItems[0].CDB_IOPS*2 : 0}`,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e(),(_vm.showCollapseIOPS && ((this.IS_PDB==undefined)||(this.IS_PDB!='YES')))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"writes:reads\",\"chart_id\":\"IOPS_RW\",\"stacked\":\"true\",\"reflines\":this.showReflines,\"instance_num\":this.instanceMetrics,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1),_c('b-card',[_c('b-form-group',{attrs:{\"label\":\"Auto Suggest Algorithm:\",\"label-cols\":\"3\"}},[_c('b-form-select',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Choose different algorithms to see the value suggested based on that algorithm'),expression:\"'Choose different algorithms to see the value suggested based on that algorithm'\",modifiers:{\"hover\":true,\"top\":true}}],on:{\"change\":function($event){return _vm.autosuggest('IOPS')}},model:{value:(_vm.form.iops_algo),callback:function ($$v) {_vm.$set(_vm.form, \"iops_algo\", $$v)},expression:\"form.iops_algo\"}},[_c('option',{attrs:{\"value\":\"iops2\"}},[_vm._v(\"P99 of the averages\")]),_c('option',{attrs:{\"value\":\"iops2_plus10\"}},[_vm._v(\"P99 of the averages, plus 10%\")]),_c('option',{attrs:{\"value\":\"iops3\"}},[_vm._v(\"P90 of the peaks\")]),_c('option',{attrs:{\"value\":\"iops3_plus10\"}},[_vm._v(\"P90 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"iops5\"}},[_vm._v(\"Larger of the P99 of the averages OR the P50 of the peaks\")]),_c('option',{attrs:{\"value\":\"iops5_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P50 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"iops4\"}},[_vm._v(\"Larger of the P99 of the averages OR the P90 of the peaks\")]),_c('option',{attrs:{\"value\":\"iops4_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P90 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"iops6\"}},[_vm._v(\"Larger of the P99 of the averages OR the P97 of the peaks\")]),_c('option',{attrs:{\"value\":\"iops6_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P97 of the peaks, plus 10%\")])])],1),(_vm.IS_EXADATA)?_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.top\",value:('One or more of these databases run on Exadata. Exadata can favor the use of I/O intensive SmartScans in lieu of more I/O-friendly techniques such as index lookups. Some customers will take the time/effort to do some post-Exadata tuning to convert their heaviest SQL queries from SmartScans(Full-Table Scans) to indexes or materialized views because the benefits (smaller configurations and more managable I/O demands) outweigh the effort of tuning.'),expression:\"'One or more of these databases run on Exadata. Exadata can favor the use of I/O intensive SmartScans in lieu of more I/O-friendly techniques such as index lookups. Some customers will take the time/effort to do some post-Exadata tuning to convert their heaviest SQL queries from SmartScans(Full-Table Scans) to indexes or materialized views because the benefits (smaller configurations and more managable I/O demands) outweigh the effort of tuning.'\",modifiers:{\"top\":true}}],attrs:{\"label\":\"Assume post-Exadata tuning?:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":function($event){return _vm.autosuggest('IOMB')}},model:{value:(_vm.form.smartscan_algo),callback:function ($$v) {_vm.$set(_vm.form, \"smartscan_algo\", $$v)},expression:\"form.smartscan_algo\"}},[_c('option',{attrs:{\"value\":\"ss1\"}},[_vm._v(\"No - assume no ex-SmartScan adjustments (such as query tuning, indexes, materialized views, ...)\")]),_c('option',{attrs:{\"value\":\"ss2a\"}},[_vm._v(\"Yes(Light) - assume some light tuning to reduce I/O Throughput\")]),_c('option',{attrs:{\"value\":\"ss2\"}},[_vm._v(\"Yes(Moderate) - assume some moderate tuning to reduce I/O Throughput\")]),_c('option',{attrs:{\"value\":\"ss3\"}},[_vm._v(\"Yes(Heavy) - assume some heavy tuning to reduce I/O Throughput\")]),_c('option',{attrs:{\"value\":\"ss4\"}},[_vm._v(\"Yes(Very Heavy) - assume some very heavy tuning to reduce I/O Throughput\")])])],1):_vm._e(),_vm._v(\" Suggested IOPS: \"+_vm._s(_vm.suggestions.IOPS)+\" \"),_c('br'),_vm._v(\" \"),((this.suggestions.iops_target_comments!=undefined)&&(this.suggestions.iops_target_comments!=''))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${this.suggestions.iops_target_comments}`),expression:\"`${this.suggestions.iops_target_comments}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Adjustments\"}}):_vm._e(),_vm._v(\" \"+_vm._s(_vm.suggestions.iops_target_comments)+\" \")],1),_c('br'),_c('b-form-group',{attrs:{\"label\":\"Desired IOPS (IO/s)\",\"label-cols\":\"4\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"placeholder\":\"Enter desired IOPS in IO/s\"},model:{value:(_vm.ebs.IOPS),callback:function ($$v) {_vm.$set(_vm.ebs, \"IOPS\", $$v)},expression:\"ebs.IOPS\"}})],1),((this.IS_PDB==undefined)||(this.IS_PDB!='YES'))?_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Use this chart, along with the above Average IOPS chart, to help select a target baseline for IOPS for this database.'),expression:\"'Use this chart, along with the above Average IOPS chart, to help select a target baseline for IOPS for this database.'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Peak (non-sustained) IOPS (IO Requests/second) \"+_vm._s(this.instanceLabel))]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\" This shows the peak (non-sustained) rate (Database IO Requests/second) during each snapshot time period using the Oracle metrics: (Physical Read Total IO Requests Per Sec, Physical Write Total IO Requests Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances. Use this chart, along with the above Average IOPS chart, to help select a target baseline for IOPS for this database. This is a stacked chart. \")])]),(_vm.showCollapseIOPS && ((this.IS_PDB==undefined)||(this.IS_PDB!='YES')))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"max writes:max reads\",\"chart_id\":\"IOPS_RW_MAX\",\"stacked\":\"true\",\"reflines\":this.showReflines,\"instance_num\":this.instanceMetrics,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1):_vm._e(),_c('b-row',[(_vm.ec2.Throughput>0 && _vm.ebs.IOPS>0)?_c('b-col',[_vm._v(\"Implied average database request size: \"+_vm._s((_vm.ec2.Throughput*1024/_vm.ebs.IOPS).toFixed(0))+\" KB\")]):_vm._e()],1),_c('b-form-textarea',{attrs:{\"id\":\"textarea3\",\"placeholder\":\"Type your I/O comments/notes here.\",\"rows\":3,\"max-rows\":6},model:{value:(_vm.comments.IO),callback:function ($$v) {_vm.$set(_vm.comments, \"IO\", $$v)},expression:\"comments.IO\"}}),_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"submit\",\"title\":\"Save user inputs to the database\",\"block\":\"\",\"variant\":\"outline-success\"}},[_vm._v(\"Save Page\")]),_c('a',{staticClass:\"card-link\",attrs:{\"href\":\"#\"}},[_vm._v(\"Top of Page\")]),_c('b-link',{staticClass:\"card-link\",attrs:{\"href\":\"/\"}},[_vm._v(\"Home Page\")])],1)],1)],1),_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionIOMB\",modifiers:{\"accordionIOMB\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"info\"}},[_vm._v(\"I/O Throughput Metrics \"+_vm._s(this.instanceLabel))])],1),_c('b-collapse',{attrs:{\"id\":\"accordionIOMB\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseIOMB),callback:function ($$v) {_vm.showCollapseIOMB=$$v},expression:\"showCollapseIOMB\"}},[_c('b-card-body',[_vm._v(\" These I/O metrics are stacked charts (the reads are drawn above the writes) to allow you to see the combined writes+reads visually. \"),_c('b-form-checkbox',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Toggling this value will close the current section of charts to change the setting. Simply re-open this section to see the updated charts.'),expression:\"'Toggling this value will close the current section of charts to change the setting. Simply re-open this section to see the updated charts.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"switch\":\"\"},on:{\"change\":function($event){return _vm.check('IO')}},model:{value:(_vm.showReflines),callback:function ($$v) {_vm.showReflines=$$v},expression:\"showReflines\"}},[_vm._v(\"Show Reference Lines\")]),(this.instances>1)?_c('b-form-select',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Changing this value will close the certain sections of charts mapped to this setting. Simply re-open those sections to see the updated charts for the selected RAC Instance or Cluster-wide.'),expression:\"'Changing this value will close the certain sections of charts mapped to this setting. Simply re-open those sections to see the updated charts for the selected RAC Instance or Cluster-wide.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"options\":_vm.instanceChoices,\"size\":\"sm\"},on:{\"change\":function($event){return _vm.check('ALL')}},model:{value:(_vm.instanceMetrics),callback:function ($$v) {_vm.instanceMetrics=$$v},expression:\"instanceMetrics\"}}):_vm._e(),_c('div',{staticClass:\"Chart__list\"},[_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Use this chart to help select a target baseline for Throughput for this database.'),expression:\"'Use this chart to help select a target baseline for Throughput for this database.'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Average Throughput (MB/s) \"+_vm._s(this.instanceLabel))]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\" This shows the average IO throughput rate (MB/s) during each snapshot time period using the Oracle metrics: (Physical Read Total Bytes Per Sec, Physical Write Total Bytes Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances. For an Exadata system, this does include I/O from the storage cells even I/O avoided via storage index use. Use this chart to help select a target baseline for Throughput for this database. This is a stacked chart. \")])]),(_vm.showCollapseIOMB)?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"writes:reads\",\"chart_id\":\"IO_MBS_RW\",\"stacked\":\"true\",\"reflines\":this.showReflines,\"instance_num\":this.instanceMetrics,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1),((this.IS_PDB=='YES'))?_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Use this chart to help identify a target IO throughput needed for this database.'),expression:\"'Use this chart to help identify a target IO throughput needed for this database.'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"PDB Throughput - Extra Chart \"+_vm._s(this.instanceLabel))]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"Because collecting metrics from PDBs can be difficult, we have collected IO Throughput metrics from a 2nd data source so that you can compare it. This chart shows the average IO throughput rate (MB/s) during each snapshot time period using the Oracle metric: (IOMBPS from DBA_HIST_RSRC_PDB_METRIC). Values at the PDB-level are sanity-checked against the CDB (if found in DBCSI) or against typical thresholds, and outliers are not shown. For a RAC Cluster, the chart aggregates the metrics across all the instances. For an Exadata system, this does include I/O from the storage cells even I/O avoided via storage index use. Use this chart to help select a target baseline for Throughput for this database.\")])]),(_vm.showCollapseIOMB)?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Average Throughput for the PDB\",\"chart_id\":\"PDB_IOMBPS\",\"reflines\":this.showReflinesCPU,\"instance_num\":this.instanceMetrics,\"filter\":`${(this.IS_PDB=='YES') ? this.batchItems[0].CDB_IOMB*2 : 0}`,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1):_vm._e(),_c('b-card',[_c('b-form-group',{attrs:{\"label\":\"Auto Suggest Algorithm:\",\"label-cols\":\"3\"}},[_c('b-form-select',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Choose different algorithms to see the value suggested based on that algorithm'),expression:\"'Choose different algorithms to see the value suggested based on that algorithm'\",modifiers:{\"hover\":true,\"top\":true}}],on:{\"change\":function($event){return _vm.autosuggest('IOMB')}},model:{value:(_vm.form.iomb_algo),callback:function ($$v) {_vm.$set(_vm.form, \"iomb_algo\", $$v)},expression:\"form.iomb_algo\"}},[_c('option',{attrs:{\"value\":\"iomb2\"}},[_vm._v(\"P99 of the averages\")]),_c('option',{attrs:{\"value\":\"iomb2_plus10\"}},[_vm._v(\"P99 of the averages, plus 10%\")]),_c('option',{attrs:{\"value\":\"iomb3\"}},[_vm._v(\"P90 of the peaks\")]),_c('option',{attrs:{\"value\":\"iomb3_plus10\"}},[_vm._v(\"P90 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"iomb5\"}},[_vm._v(\"Larger of the P99 of the averages OR the P50 of the peaks\")]),_c('option',{attrs:{\"value\":\"iomb5_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P50 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"iomb4\"}},[_vm._v(\"Larger of the P99 of the averages OR the P90 of the peaks\")]),_c('option',{attrs:{\"value\":\"iomb4_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P90 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"iomb6\"}},[_vm._v(\"Larger of the P99 of the averages OR the P97 of the peaks\")]),_c('option',{attrs:{\"value\":\"iomb6_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P97 of the peaks, plus 10%\")])])],1),(_vm.IS_EXADATA)?_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.top\",value:('One or more of these databases run on Exadata. Exadata can favor the use of I/O intensive SmartScans in lieu of more I/O-friendly techniques such as index lookups. Some customers will take the time/effort to do some post-Exadata tuning to convert their heaviest SQL queries from SmartScans(Full-Table Scans) to indexes or materialized views because the benefits (smaller configurations and more managable I/O demands) outweigh the effort of tuning.'),expression:\"'One or more of these databases run on Exadata. Exadata can favor the use of I/O intensive SmartScans in lieu of more I/O-friendly techniques such as index lookups. Some customers will take the time/effort to do some post-Exadata tuning to convert their heaviest SQL queries from SmartScans(Full-Table Scans) to indexes or materialized views because the benefits (smaller configurations and more managable I/O demands) outweigh the effort of tuning.'\",modifiers:{\"top\":true}}],attrs:{\"label\":\"Assume post-Exadata tuning?:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":function($event){return _vm.autosuggest('IOMB')}},model:{value:(_vm.form.smartscan_algo),callback:function ($$v) {_vm.$set(_vm.form, \"smartscan_algo\", $$v)},expression:\"form.smartscan_algo\"}},[_c('option',{attrs:{\"value\":\"ss1\"}},[_vm._v(\"No - assume no ex-SmartScan adjustments (such as query tuning, indexes, materialized views, ...)\")]),_c('option',{attrs:{\"value\":\"ss2a\"}},[_vm._v(\"Yes(Light) - assume some light tuning to reduce I/O Throughput\")]),_c('option',{attrs:{\"value\":\"ss2\"}},[_vm._v(\"Yes(Moderate) - assume some moderate tuning to reduce I/O Throughput\")]),_c('option',{attrs:{\"value\":\"ss3\"}},[_vm._v(\"Yes(Heavy) - assume some heavy tuning to reduce I/O Throughput\")]),_c('option',{attrs:{\"value\":\"ss4\"}},[_vm._v(\"Yes(Very Heavy) - assume some very heavy tuning to reduce I/O Throughput\")])])],1):_vm._e(),(_vm.IS_EXADATA)?_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",value:('This is the minimum IO Throughput needed to apply the post-Exadata tuning assumptions. Databases with a smaller IO throughput will be ignored/skipped when applying the tuning assumptions.'),expression:\"'This is the minimum IO Throughput needed to apply the post-Exadata tuning assumptions. Databases with a smaller IO throughput will be ignored/skipped when applying the tuning assumptions.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"post-Exadata tuning IO Throughput minimum threshold (MB/s):\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-input',{attrs:{\"size\":\"sm\",\"type\":\"number\",\"step\":\"1\",\"placeholder\":`minimum IO throughput (MB/s) before applying tuning assumption`},on:{\"change\":function($event){return _vm.autosuggest('IOMB')}},model:{value:(_vm.form.smartscan_minimum),callback:function ($$v) {_vm.$set(_vm.form, \"smartscan_minimum\", $$v)},expression:\"form.smartscan_minimum\"}})],1):_vm._e(),(_vm.IS_PDB=='YES')?_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover.top\",value:('You can use this control to tell DBCSI what Oracle AWR data source to use for PDB-level metrics. In some cases, Oracle AWR seems to mis-report PDB-level metrics (such as surprisingly low or high values) and you can tell DBCSI to use data from the other AWR table to work-around this AWR problem.'),expression:\"'You can use this control to tell DBCSI what Oracle AWR data source to use for PDB-level metrics. In some cases, Oracle AWR seems to mis-report PDB-level metrics (such as surprisingly low or high values) and you can tell DBCSI to use data from the other AWR table to work-around this AWR problem.'\",modifiers:{\"hover\":true,\"top\":true}}],attrs:{\"label\":\"PDB Metric Data Source:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":function($event){return _vm.autosuggest('CPU')}},model:{value:(_vm.form.pdb_algo),callback:function ($$v) {_vm.$set(_vm.form, \"pdb_algo\", $$v)},expression:\"form.pdb_algo\"}},[_c('option',{attrs:{\"value\":\"pdb1\"}},[_vm._v(\"Use Oracle's DBA_HIST_CON_SYSMETRIC_SUMM table for PDB-level IO Throughput \")]),_c('option',{attrs:{\"value\":\"pdb2\"}},[_vm._v(\"Use Oracle's DBA_HIST_RSRC_PDB_METRIC table for PDB-level IO Throughput \")])])],1):_vm._e(),_vm._v(\" Suggested Throughput: \"+_vm._s(_vm.suggestions.Throughput)+\" \"),_c('br'),_vm._v(\" \"),((this.suggestions.iomb_target_comments!=undefined)&&(this.suggestions.iomb_target_comments!=''))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${this.suggestions.iomb_target_comments}`),expression:\"`${this.suggestions.iomb_target_comments}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Adjustments\"}}):_vm._e(),_vm._v(\" \"+_vm._s(_vm.suggestions.iomb_target_comments)+\" \")],1),_c('br'),_c('b-form-group',{attrs:{\"label\":\"Desired Throughput (MB/s)\",\"label-cols\":\"4\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"placeholder\":\"Enter desired I/O throughput in MB/s\"},model:{value:(_vm.ec2.Throughput),callback:function ($$v) {_vm.$set(_vm.ec2, \"Throughput\", $$v)},expression:\"ec2.Throughput\"}})],1),_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('Use this chart, along with the above Average Throughput chart, to help select a target baseline for Throughput for this database.'),expression:\"'Use this chart, along with the above Average Throughput chart, to help select a target baseline for Throughput for this database.'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Peak (non-sustained) Throughput (MB/s) \"+_vm._s(this.instanceLabel))]),_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\" This shows the peak (non-sustained) IO throughput rate (MB/s) during each snapshot time period using the Oracle metrics: (Physical Read Total Bytes Per Sec, Physical Write Total Bytes Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances. For an Exadata system, this does include I/O from the storage cells even I/O avoided via storage index use. Use this chart, along with the above Average Throughput chart, to help select a target baseline for Throughput for this database. This is a stacked chart.\")])]),(_vm.showCollapseIOMB)?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"max writes:max reads\",\"chart_id\":\"IO_MBS_RW_MAX\",\"stacked\":\"true\",\"reflines\":this.showReflines,\"instance_num\":this.instanceMetrics,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1)],1),_c('b-row',[(_vm.ec2.Throughput>0 && _vm.ebs.IOPS>0)?_c('b-col',[_vm._v(\"Implied average database request size: \"+_vm._s((_vm.ec2.Throughput*1024/_vm.ebs.IOPS).toFixed(0))+\" KB\")]):_vm._e()],1),_c('b-form-textarea',{attrs:{\"id\":\"textarea3\",\"placeholder\":\"Type your I/O comments/notes here.\",\"rows\":3,\"max-rows\":6},model:{value:(_vm.comments.IO),callback:function ($$v) {_vm.$set(_vm.comments, \"IO\", $$v)},expression:\"comments.IO\"}}),_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"submit\",\"title\":\"Save user inputs to the database\",\"block\":\"\",\"variant\":\"outline-success\"}},[_vm._v(\"Save Page\")]),_c('a',{staticClass:\"card-link\",attrs:{\"href\":\"#\"}},[_vm._v(\"Top of Page\")]),_c('b-link',{staticClass:\"card-link\",attrs:{\"href\":\"/\"}},[_vm._v(\"Home Page\")])],1)],1)],1),_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionDiskSpace\",modifiers:{\"accordionDiskSpace\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"info\"}},[_vm._v(\"Disk Space Metrics\")])],1),_c('b-collapse',{attrs:{\"id\":\"accordionDiskSpace\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseDiskSpace),callback:function ($$v) {_vm.showCollapseDiskSpace=$$v},expression:\"showCollapseDiskSpace\"}},[_c('b-card-body',[_vm._v(\" This section provides disk space metrics for the database. It shows the total allocated space of the non-TEMP tablespaces for the database. \"),_c('div',{staticClass:\"Chart__list\"},[_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the aggregate size of all tablespaces over time. It does not count TEMP tablespaces or REDO logs. In some cases, our script may not be able to collect data and this chart will be empty. If needed, you can find TOTAL_DB_SIZE_GB and USED_DB_SIZE_GB metrics in the General Information section.'),expression:\"'This shows the aggregate size of all tablespaces over time. It does not count TEMP tablespaces or REDO logs. In some cases, our script may not be able to collect data and this chart will be empty. If needed, you can find TOTAL_DB_SIZE_GB and USED_DB_SIZE_GB metrics in the General Information section.'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Disk Space Metrics (GB) over Time\")]),(_vm.showCollapseDiskSpace)?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Disk Space (GB)\",\"chart_id\":\"DISK_SPACE\",\"reflines\":\"false\",\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1),_vm._v(\" Total Database Disk Space when data collection script was run (GB): \"+_vm._s(_vm.gen_db_size)+\" \")]),_c('br'),_c('b-form-group',{attrs:{\"label\":\"Desired Disk Space (GB)\",\"label-cols\":\"4\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"placeholder\":\"Enter desired disk space in GB\"},model:{value:(_vm.ebs.DiskSpace),callback:function ($$v) {_vm.$set(_vm.ebs, \"DiskSpace\", $$v)},expression:\"ebs.DiskSpace\"}})],1),_c('b-form-textarea',{attrs:{\"id\":\"textarea2\",\"placeholder\":\"Type your disk space comments/notes here.\",\"rows\":3,\"max-rows\":6},model:{value:(_vm.comments.DiskSpace),callback:function ($$v) {_vm.$set(_vm.comments, \"DiskSpace\", $$v)},expression:\"comments.DiskSpace\"}}),_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"submit\",\"title\":\"Save user inputs to the database\",\"block\":\"\",\"variant\":\"outline-success\"}},[_vm._v(\"Save Page\")]),_c('a',{staticClass:\"card-link\",attrs:{\"href\":\"#\"}},[_vm._v(\"Top of Page\")]),_c('b-link',{staticClass:\"card-link\",attrs:{\"href\":\"/\"}},[_vm._v(\"Home Page\")])],1)],1)],1),_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionBackup\",modifiers:{\"accordionBackup\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"info\"}},[_vm._v(\"Backup Metrics\")])],1),_c('b-collapse',{attrs:{\"id\":\"accordionBackup\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseBackup),callback:function ($$v) {_vm.showCollapseBackup=$$v},expression:\"showCollapseBackup\"}},[_c('b-card-body',[_vm._v(\" These metrics show the rates of Redo Generation and Physical Writes, which can help you plan for the amount of backup storage that may be desired. \"),_c('div',{staticClass:\"Chart__list\"},[_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the average redo generation rate (MB/s) during each snapshot time period of these two metrics: (Redo Generated Per Sec)'),expression:\"'This shows the average redo generation rate (MB/s) during each snapshot time period of these two metrics: (Redo Generated Per Sec)'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Redo Generation Rate (MB/s) over Time\")]),(_vm.showCollapseBackup)?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Redo Generation Rate (MB/s)\",\"chart_id\":\"redo_mb_s\",\"reflines\":\"false\",\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1),_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover.top\",value:('This shows the average write rate (MB/s) during each snapshot time period of these two metrics: (Physical Write Total IO Requests Per Sec)'),expression:\"'This shows the average write rate (MB/s) during each snapshot time period of these two metrics: (Physical Write Total IO Requests Per Sec)'\",modifiers:{\"hover\":true,\"top\":true}}],staticClass:\"Chart\",attrs:{\"title\":\"About this chart\"}},[_c('h2',[_vm._v(\"Physical Write Rate (MB/s) over Time\")]),(_vm.showCollapseBackup)?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":\"Physical Write Rate (MB/s)\",\"chart_id\":\"write_mb_s\",\"reflines\":\"false\",\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1)]),_c('b-row',[(_vm.ebs.Backup>0)?_c('b-col',[_vm._v(\"Implied EBS hourly changes: \"+_vm._s((_vm.ebs.Backup*3600/1024).toFixed(2))+\" GB\")]):_vm._e(),(_vm.ebs.Backup>0 && _vm.ebs.DiskSpace>0)?_c('b-col',[_vm._v(\"Implied % Change for Hourly EBS Snapshots: \"+_vm._s((_vm.ebs.Backup*3600/1024/_vm.ebs.DiskSpace*100).toFixed(2))+\"%\")]):_vm._e()],1),_c('b-form-textarea',{attrs:{\"id\":\"textarea3\",\"placeholder\":\"Type your Backup comments/notes here.\",\"rows\":3,\"max-rows\":6},model:{value:(_vm.comments.Backup),callback:function ($$v) {_vm.$set(_vm.comments, \"Backup\", $$v)},expression:\"comments.Backup\"}}),_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"submit\",\"title\":\"Save user inputs to the database\",\"block\":\"\",\"variant\":\"outline-success\"}},[_vm._v(\"Save Page\")]),_c('a',{staticClass:\"card-link\",attrs:{\"href\":\"#\"}},[_vm._v(\"Top of Page\")]),_c('b-link',{staticClass:\"card-link\",attrs:{\"href\":\"/\"}},[_vm._v(\"Home Page\")])],1)],1)],1),_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionSessions\",modifiers:{\"accordionSessions\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"info\"}},[_vm._v(\"Wait Metrics\")])],1),_c('b-collapse',{attrs:{\"id\":\"accordionSessions\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseSessions),callback:function ($$v) {_vm.showCollapseSessions=$$v},expression:\"showCollapseSessions\"}},[_c('b-card-body',[_vm._v(\" This shows the top 10 wait events across all snapshots. Each bar represents the wait time (in seconds) spent \"+_vm._s(this.collection_id>20830 ? 'per second ' : '')+\"for that wait event during the individual snapshot time period. Bars are displayed stacked. Click on the legend to remove a wait event from the chart. \"),_c('div',{staticClass:\"Chart__list\"},[_c('div',{staticClass:\"Chart\"},[_c('h2',[_vm._v(\"Top Waits - Wait time(seconds) per \"+_vm._s(this.collection_id>20830 ? 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The auto sizing suggestion algorithms will continue to use the full date range when calculating target values. 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The sizing tools on this page are not being updated with new logic or features.\"),_c('br'),_c('router-link',{attrs:{\"to\":{ name: 'Batch', params: {batch_id: this.shareMode ? this.param_collection_id : ('C' + this.collection_id) } }}},[_vm._v(\"Go to the Auto-Right-Sizer for this database\")]),_c('br'),_c('br'),_c('b-form-checkbox',{attrs:{\"switch\":\"\"},model:{value:(_vm.showSizing),callback:function ($$v) {_vm.showSizing=$$v},expression:\"showSizing\"}},[_vm._v(\"Continue to use older sizing tools on this page anyways.\")]),(_vm.showSizing)?_c('b-card-body',[_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"warning\",\"header-bg-variant\":\"warning\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionMapOverview\",modifiers:{\"accordionMapOverview\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"warning\"}},[_vm._v(\"Mapping to AWS Overview\")])],1),_c('b-collapse',{attrs:{\"id\":\"accordionMapOverview\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseMapOverview),callback:function ($$v) {_vm.showCollapseMapOverview=$$v},expression:\"showCollapseMapOverview\"}},[_c('b-card-body',[_vm._v(\" This section provides an experimental tool to help map your desired vCPU, Memory, and IO Throughput to an AWS shape. \"),_c('br'),_c('br'),_vm._v(\"The sizing should be considered to be a starting-point, not an exact final configuration. As you implement your database on AWS, you can measure the performance and make adjustments easily to fine-tune the performance to the desired cost/performance combination. \"),_c('br'),_c('br'),_vm._v(\"There are 3 basic approaches that this tool tries to help you estimate: \"),_c('b',[_vm._v(\"Re-host\")]),_vm._v(\" to Oracle DB on EC2, \"),_c('b',[_vm._v(\"Re-platform\")]),_vm._v(\" to RDS-Oracle, or \"),_c('b',[_vm._v(\"Re-architect\")]),_vm._v(\" to Aurora. \"),_c('br'),_c('img',{attrs:{\"src\":require(\"@/assets/oracleOptions.png\"),\"height\":\"400px\"}}),_c('br'),_c('br'),_c('img',{attrs:{\"src\":require(\"@/assets/oracleTimeline.png\"),\"height\":\"400px\"}}),_c('br')])],1)],1),_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"warning\",\"header-bg-variant\":\"warning\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_c('b-btn',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.accordionEC2\",modifiers:{\"accordionEC2\":true}}],attrs:{\"block\":\"\",\"href\":\"#\",\"variant\":\"warning\"}},[_vm._v(\"Re-host to EC2 and EBS Storage Mapping Tool (experimental)\")])],1),_c('b-collapse',{attrs:{\"id\":\"accordionEC2\",\"role\":\"tabpanel\"},model:{value:(_vm.showCollapseEC2),callback:function ($$v) {_vm.showCollapseEC2=$$v},expression:\"showCollapseEC2\"}},[_c('b-card-body',[_vm._v(\" This section provides an experimental tool 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Please see the discussion in the Overview section about measuring performance and making adjustments as needed. \"),_c('br'),_c('br'),_vm._v(\"There is effort involved in re-architecting to Aurora. The AWS Database Migration Service and the AWS Schema Conversion Tool can assist you in parts of the effort, but not all. A good first step will be to use the Schema Conversion Tool to run a migration assessment report for a migration to Aurora(PostgreSQL) or Aurora(MySQL). Another good first step is to begin a conversation with a migration partner or AWS Professional Services. \"),_c('br'),_c('br'),_vm._v(\"This section is coming soon. \"),_c('br'),_c('div',[_c('b-card',{attrs:{\"title\":\"AWS Mapping to Aurora Summary\",\"bg-variant\":\"warning\"}},[(_vm.auroraSelected.length==0)?_c('div',[_c('b-row',[_c('b-col',[_c('b',[_vm._v(\"INSTRUCTIONS:\")]),_vm._v(\" Confirm/adjust the performance requirement inputs, and choose an Aurora shape from the candidate Aurora shape list below... \")])],1)],1):_vm._e(),(_vm.auroraSelected.length>0)?_c('div',[_c('b-row',[_c('b-col',[_vm._v(\" Aurora Compute Shape: \"+_vm._s(_vm.targetconfig_aurora.shape)+\" \"),_c('br'),_vm._v(\" \"+_vm._s(_vm.targetconfig_aurora.shape_summaryText)+\" \")])],1),_c('br'),_c('b-row',[_c('b-col',[_vm._v(\" \"+_vm._s(_vm.targetconfig_aurora.ebs_data_summaryText1)+\" \"),_c('br'),_vm._v(\" \"+_vm._s(_vm.targetconfig_aurora.ebs_data_summaryText2)+\" \")])],1),_c('br'),_c('b-row',[_c('b-col',[_vm._v(\" \"+_vm._s(_vm.targetconfig_aurora.iops_summaryText1)+\" \"),_c('br'),_vm._v(\" \"+_vm._s(_vm.targetconfig_aurora.iops_summaryText2)+\" \")])],1),_c('br'),_c('br'),_c('b-row',[_c('b-col',[_c('b',[_vm._v(\"Summary Estimate: \"+_vm._s(_vm.targetconfig_aurora.summaryText))]),_c('br')])],1),(_vm.targetconfig_aurora.cpu_warnings!='')?_c('b-row',[_c('b-col',[_c('br'),_c('b-card',{staticClass:\"text-center\",attrs:{\"bg-variant\":\"danger\",\"text-variant\":\"white\",\"header\":\"Warning\"}},[_c('b-card-text',[_vm._v(\" \"+_vm._s(_vm.targetconfig_aurora.cpu_warnings)+\" \")])],1)],1)],1):_vm._e(),_c('br'),_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"submit\",\"title\":\"Save user inputs to the database\",\"block\":\"\",\"variant\":\"success\"}},[_vm._v(\"Save Page\")])],1):_vm._e()]),_c('br'),_c('br'),_c('b-card',{attrs:{\"header\":\"Performance Requirement Inputs\"}},[_c('b-form-group',{attrs:{\"label\":\"VPCUs\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Type to Search\"},model:{value:(_vm.ec2.VCPU),callback:function ($$v) {_vm.$set(_vm.ec2, \"VCPU\", $$v)},expression:\"ec2.VCPU\"}})],1),_c('b-form-group',{attrs:{\"label\":\"Memory (GB)\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Type to Search\"},model:{value:(_vm.ec2.Memory),callback:function ($$v) {_vm.$set(_vm.ec2, \"Memory\", $$v)},expression:\"ec2.Memory\"}})],1),_c('b-form-group',{attrs:{\"label\":\"Throughput (MB/s)\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Type to Search\"},model:{value:(_vm.ec2.Throughput),callback:function ($$v) {_vm.$set(_vm.ec2, \"Throughput\", $$v)},expression:\"ec2.Throughput\"}})],1),_c('b-form-group',{attrs:{\"label\":\"Disk Space (GB)\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Enter size of database\"},model:{value:(_vm.ebs.DiskSpace),callback:function ($$v) {_vm.$set(_vm.ebs, \"DiskSpace\", $$v)},expression:\"ebs.DiskSpace\"}})],1),_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",value:('Use this control to tell DBCSI to also include a rough estimate of an Aurora PostgreSQL sizing. This will be a very ballpark sizing based on some broad assumptions.'),expression:\"'Use this control to tell DBCSI to also include a rough estimate of an Aurora PostgreSQL sizing. This will be a very ballpark sizing based on some broad assumptions.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Aurora IO Estimate:\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},model:{value:(_vm.form.aurora_algo),callback:function ($$v) {_vm.$set(_vm.form, \"aurora_algo\", $$v)},expression:\"form.aurora_algo\"}},[_c('option',{attrs:{\"value\":\"auro2\"}},[_vm._v(\"Estimate Storage IO costs as 25% of the on-demand cost of the compute shape\")]),_c('option',{attrs:{\"value\":\"auro4\"}},[_vm._v(\"Estimate Storage IO costs based on estimated IOs derived from target IO Throughput metric, adjusted by internal ratios\")]),_c('option',{attrs:{\"value\":\"auro5\"}},[_vm._v(\"Use the Aurora IO-Optimized mode (no need to estimate number of storage IOs)\")])])],1),_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",value:('You can use this control to tell DBCSI your preference for pricing AWS compute instances'),expression:\"'You can use this control to tell DBCSI your preference for pricing AWS compute instances'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"AWS Pricing Preference:\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.showCalculateMessage},model:{value:(_vm.form.useRI_algo),callback:function ($$v) {_vm.$set(_vm.form, \"useRI_algo\", $$v)},expression:\"form.useRI_algo\"}},[_c('option',{attrs:{\"value\":\"RI\"}},[_vm._v(\"Use 1yr No-Upfront Reserved Instance pricing if available\")]),_c('option',{attrs:{\"value\":\"OD\"}},[_vm._v(\"Use On-Demand pricing\")])])],1),_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",value:('You can use this control to tell DBCSI your preference for having a 2nd instance in the Aurora cluster'),expression:\"'You can use this control to tell DBCSI your preference for having a 2nd instance in the Aurora cluster'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Use High-Availability (add a Replica)\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},model:{value:(_vm.UseMAZ),callback:function ($$v) {_vm.UseMAZ=$$v},expression:\"UseMAZ\"}},[_c('option',{attrs:{\"value\":\"No\"}},[_vm._v(\"No\")]),_c('option',{attrs:{\"value\":\"Yes\"}},[_vm._v(\"Yes\")])])],1),_c('b-form-group',{attrs:{\"label\":\"AWS Region for Pricing:\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\",\"options\":_vm.region_lov},on:{\"change\":_vm.changeRegion},model:{value:(_vm.regionCode),callback:function ($$v) {_vm.regionCode=$$v},expression:\"regionCode\"}})],1),_c('br'),_c('b-form-textarea',{attrs:{\"id\":\"textarea10\",\"placeholder\":\"Type your Aurora configuration comments/notes here.\",\"rows\":3,\"max-rows\":6,\"size\":\"sm\"},model:{value:(_vm.comments.Aurora),callback:function ($$v) {_vm.$set(_vm.comments, \"Aurora\", $$v)},expression:\"comments.Aurora\"}}),_c('br'),_c('b-card',{attrs:{\"header\":\"Candidate Aurora Shape List\"}},[_vm._v(\" Click on your desired Aurora shape to select it. The list of candidate Aurora shapes is filtered based on your performance requirement inputs and ordered by default by increasing cost. \"),_c('br'),_c('br'),_c('b-table',{attrs:{\"per-page\":_vm.perPage,\"current-page\":_vm.currentPageAurora,\"selectable\":\"\",\"responsive\":\"\",\"select-mode\":\"single\",\"selectedVariant\":\"success\",\"hover\":\"\",\"items\":_vm.aurorafiltered,\"fields\":_vm.aurorafields,\"sort-by\":_vm.aurorasortBy},on:{\"update:sortBy\":function($event){_vm.aurorasortBy=$event},\"update:sort-by\":function($event){_vm.aurorasortBy=$event},\"row-selected\":_vm.auroraRowSelected},scopedSlots:_vm._u([{key:\"cell(show_details)\",fn:function(row){return [_c('b-button',{staticClass:\"mr-2\",attrs:{\"size\":\"sm\"},on:{\"click\":row.toggleDetails}},[_vm._v(_vm._s(row.detailsShowing ? 'Hide' : 'Show')+\" Details\")])]}},{key:\"cell(AuroraPG1yrNURI)\",fn:function(row){return [_vm._v(\" \"+_vm._s(row.item.AuroraPG1yrNURI ? Math.round(1000*row.item.AuroraPG1yrNURI*1.3)/1000 : '')+\" \")]}},{key:\"row-details\",fn:function(row){return [_c('b-card',[_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Name:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.Name))])],1),_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"vCPUs:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.VCPU))])],1),_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Processor:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.Processor))])],1),_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Clockspeed:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.Clockspeed))])],1),(row.item.InstanceStorage && row.item.InstanceStorage!='EBS only')?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Instance Storage:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.InstanceStorage))])],1):_vm._e(),_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Network Throughput (in megabits/sec):\")])]),_c('b-col',[_vm._v(_vm._s(row.item.Network))])],1),_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Network Throughput - Baseline (in megabits/sec):\")])]),_c('b-col',[_vm._v(_vm._s(row.item.BaselineNetwork))])],1)],1)]}}],null,false,2666328480)}),_c('b-pagination',{staticClass:\"my-0\",attrs:{\"total-rows\":_vm.aurorafiltered.length,\"per-page\":_vm.perPage},model:{value:(_vm.currentPageAurora),callback:function ($$v) {_vm.currentPageAurora=$$v},expression:\"currentPageAurora\"}}),_c('b-row',[_c('b-col',{staticClass:\"mt-3 text-left\"},[_c('br'),_vm._l((_vm.disclaimerLists),function(list,index){return _c('span',{key:list},[_c('span',[_vm._v(_vm._s(list))]),_c('br')])}),_c('br')],2)],1)],1)],1),_c('br')],1),_c('a',{staticClass:\"card-link\",attrs:{\"href\":\"#\"}},[_vm._v(\"Top of Page\")]),_c('b-link',{staticClass:\"card-link\",attrs:{\"href\":\"/\"}},[_vm._v(\"Home Page\")])],1)],1)],1)],1):_vm._e()],1)],1)],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{staticClass:\"container\"},[_c('div',{attrs:{\"id\":\"chartdiv\"}},[(_vm.loaded)?_c('timechart',{attrs:{\"chartdata\":_vm.chartdata,\"options\":_vm.options,\"chart-id\":_vm.myID}}):_vm._e()],1),(_vm.filterText!='')?_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(_vm._s(_vm.filterText))]):_vm._e(),(_vm.showDateRange)?_c('p',{staticStyle:{\"font-size\":\"12px\"}},[_c('a',{staticClass:\"card-link\",attrs:{\"href\":\"#daterange\"}},[_vm._v(\"Click here to specify custom Date Range for chart\")]),((_vm.start_date != _vm.start_date_min) || (_vm.end_date != _vm.end_date_max))?_c('span',[_vm._v(\". Custom Date Range in effect. \")]):_vm._e()]):_vm._e()])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./TimeChartRACContainer.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./TimeChartRACContainer.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./TimeChartRACContainer.vue?vue&type=template&id=e867d8d6\"\nimport script from \"./TimeChartRACContainer.vue?vue&type=script&lang=js\"\nexport * from \"./TimeChartRACContainer.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","\n\n\nfunction calculate_target_values (batchParams) {\n\n// See https://quip-amazon.com/JNHtAHYe53lR/DBCSI-External-Integrations\n\n\n var data = JSON.parse(JSON.stringify(batchParams.body.inputs));\n var prefs = batchParams.body.prefs;\n var assumptionsArray = [];\n \n //fix a few things that are not compatible. (dont adjust memory for rac-to-single-instance if sizing for rac)\n // console.log(\"prefs\",prefs);\n if (prefs.se_algo==\"rac\" && prefs.memory_algo==\"mem2\") { \n // console.log(\"mem2-mem1\"); \n prefs.memory_algo=\"mem1\";\n }\n if (prefs.se_algo==\"rac\" && prefs.memory_algo==\"mem2_plus20_2\") { \n // console.log(\"mem2-mem1\"); \n prefs.memory_algo=\"mem1_plus20_2\";\n }\n \n\n if (prefs.cpu_algo==\"cpu1\") assumptionsArray.push({category: \"VCPU\", text: \"P99 of the averages\"});\n if (prefs.cpu_algo==\"cpu1_plus10\") assumptionsArray.push({category: \"VCPU\", text: \"P99 of the averages, plus 10%\"});\n if (prefs.cpu_algo==\"cpu2\") assumptionsArray.push({category: \"VCPU\", text: \"P90 of the peaks\"});\n if (prefs.cpu_algo==\"cpu2_plus10\") assumptionsArray.push({category: \"VCPU\", text: \"P90 of the peaks, plus 10%\"});\n if (prefs.cpu_algo==\"cpu3\") assumptionsArray.push({category: \"VCPU\", text: \"Larger of the P99 of the averages OR the P90 of the peaks\"});\n if (prefs.cpu_algo==\"cpu3_plus10\") assumptionsArray.push({category: \"VCPU\", text: \"Larger of the P99 of the averages OR the P90 of the peaks, plus 10%\"});\n if (prefs.cpu_algo==\"cpu4\") assumptionsArray.push({category: \"VCPU\", text: \"Larger of the P99 of the averages OR the P97 of the peaks\"});\n if (prefs.cpu_algo==\"cpu4_plus10\") assumptionsArray.push({category: \"VCPU\", text: \"Larger of the P99 of the averages OR the P97 of the peaks, plus 10%\"});\n\n if ((data.PLATFORM_NAME!=\"Linux_x86_64-bit\")&&(data.PLATFORM_NAME!=\"Microsoft_Windows_x86_64-bit\") &&(data.PLATFORM_NAME!=\"Assume x86\")) {\n assumptionsArray.push({category: \"CPU_Thread\", text: \"x86 CPU Thread Mapping Ratio of \"+prefs.cpu_thread_ratio });\n }\n \n if (prefs.memory_algo==\"mem1\") assumptionsArray.push({category: \"Memory\", text: \"sum(SGA+PGA)\"});\n if (prefs.memory_algo==\"mem1_plus20_2\") assumptionsArray.push({category: \"Memory\", text: \"sum(SGA+PGA), plus greater of 2GB or 20%\"});\n if (prefs.memory_algo==\"mem2\") assumptionsArray.push({category: \"Memory\", text: \"sum(SGA+PGA) adjusted for RAC\"});\n if (prefs.memory_algo==\"mem2_plus20_2\") assumptionsArray.push({category: \"Memory\", text: \"sum(SGA+PGA) adjusted for RAC, plus greater of 2GB or 20%\"});\n\n if (prefs.iomb_algo==\"iomb2\") assumptionsArray.push({category: \"Throughput\", text: \"P99 of the averages\"});\n if (prefs.iomb_algo==\"iomb2_plus10\") assumptionsArray.push({category: \"Throughput\", text: \"P99 of the averages, plus 10%\"});\n if (prefs.iomb_algo==\"iomb3\") assumptionsArray.push({category: \"Throughput\", text: \"P90 of the peaks\"});\n if (prefs.iomb_algo==\"iomb3_plus10\") assumptionsArray.push({category: \"Throughput\", text: \"P90 of the peaks, plus 10%\"});\n if (prefs.iomb_algo==\"iomb5\") assumptionsArray.push({category: \"Throughput\", text: \"Larger of the P99 of the averages OR the P50 of the peaks\"});\n if (prefs.iomb_algo==\"iomb5_plus10\") assumptionsArray.push({category: \"Throughput\", text: \"Larger of the P99 of the averages OR the P50 of the peaks, plus 10%\"});\n if (prefs.iomb_algo==\"iomb4\") assumptionsArray.push({category: \"Throughput\", text: \"Larger of the P99 of the averages OR the P90 of the peaks\"});\n if (prefs.iomb_algo==\"iomb4_plus10\") assumptionsArray.push({category: \"Throughput\", text: \"Larger of the P99 of the averages OR the P90 of the peaks, plus 10%\"});\n if (prefs.iomb_algo==\"iomb6\") assumptionsArray.push({category: \"Throughput\", text: \"Larger of the P99 of the averages OR the P97 of the peaks\"});\n if (prefs.iomb_algo==\"iomb6_plus10\") assumptionsArray.push({category: \"Throughput\", text: \"Larger of the P99 of the averages OR the P97 of the peaks, plus 10%\"});\n\n\n if (prefs.iops_algo==\"iops2\") assumptionsArray.push({category: \"IOPS\", text: \"P99 of the averages\"});\n if (prefs.iops_algo==\"iops2_plus10\") assumptionsArray.push({category: \"IOPS\", text: \"P99 of the averages, plus 10%\"});\n if (prefs.iops_algo==\"iops3\") assumptionsArray.push({category: \"IOPS\", text: \"P90 of the peaks\"});\n if (prefs.iops_algo==\"iops3_plus10\") assumptionsArray.push({category: \"IOPS\", text: \"P90 of the peaks, plus 10%\"});\n if (prefs.iops_algo==\"iops5\") assumptionsArray.push({category: \"IOPS\", text: \"Larger of the P99 of the averages OR the P50 of the peaks\"});\n if (prefs.iops_algo==\"iops5_plus10\") assumptionsArray.push({category: \"IOPS\", text: \"Larger of the P99 of the averages OR the P50 of the peaks, plus 10%\"});\n if (prefs.iops_algo==\"iops4\") assumptionsArray.push({category: \"IOPS\", text: \"Larger of the P99 of the averages OR the P90 of the peaks\"});\n if (prefs.iops_algo==\"iops4_plus10\") assumptionsArray.push({category: \"IOPS\", text: \"Larger of the P99 of the averages OR the P90 of the peaks, plus 10%\"});\n if (prefs.iops_algo==\"iops6\") assumptionsArray.push({category: \"IOPS\", text: \"Larger of the P99 of the averages OR the P97 of the peaks\"});\n if (prefs.iops_algo==\"iops6_plus10\") assumptionsArray.push({category: \"IOPS\", text: \"Larger of the P99 of the averages OR the P97 of the peaks, plus 10%\"});\n\n if (prefs.diskspace_algo==\"disk1\") assumptionsArray.push({category: \"DiskSpace\", text: \"Total DB Size\"});\n if (prefs.diskspace_algo==\"disk1_plus15\") assumptionsArray.push({category: \"DiskSpace\", text: \"Total DB Size, plus 15%\"});\n\n if (data.IS_PDB==\"YES\") {\n if (prefs.pdb_algo==\"pdb1\") assumptionsArray.push({category: \"PDBmetric\", text: \"Use Oracle's DBA_HIST_CON_SYSMETRIC_SUMM table for PDB-level CPU and IO Throughput\"});\n if (prefs.pdb_algo==\"pdb2\") assumptionsArray.push({category: \"PDBmetric\", text: \"Use Oracle's DBA_HIST_RSRC_PDB_METRIC table for PDB-level CPU and IO Throughput\"});\n }\n \n if (data.Exadata=='Yes') {\n if (prefs.smartscan_algo==\"ss1\") assumptionsArray.push({category: \"ExadataTuning\", text: \"No - assume no ex-SmartScan adjustments (such as query tuning, indexes, materialized views, ...)\"});\n if (prefs.smartscan_algo==\"ss2a\" ) assumptionsArray.push({category: \"ExadataTuning\", text: \"Yes(Light) - assume some light tuning to reduce I/O Throughput\"});\n if (prefs.smartscan_algo==\"ss2\" ) assumptionsArray.push({category: \"ExadataTuning\", text: \"Yes(Moderate) - assume some moderate tuning to reduce I/O Throughput\"});\n if (prefs.smartscan_algo==\"ss3\" ) assumptionsArray.push({category: \"ExadataTuning\", text: \"Yes(Heavy) - assume some heavy tuning to reduce I/O Throughput\"});\n if (prefs.smartscan_algo==\"ss4\" ) assumptionsArray.push({category: \"ExadataTuning\", text: \"Yes(Very Heavy) - assume some very heavy tuning to reduce I/O Throughput\"});\n\n assumptionsArray.push({category: \"ExadataIOThreshold\", text: \"minimum IO throughput of \"+prefs.smartscan_minimum+ \" MB/s before applying tuning assumption\"});\n\n if (prefs.exa_memory_algo==\"em1\") assumptionsArray.push({category: \"ExadataMemory\", text: \"Yes - favor a bigger Memory target to ease post-Exadata transition\"});\n\n }\n\n //technically, these arent target value assumtions and may get out of date in manual edit (but we don't show this after manual edit)\n if (prefs.nvme_shape_algo==\"Y\") assumptionsArray.push({category: \"LocalNVME\", text: \"Only consider shapes with local storage (e.g. r5d,m5d,r6id,...)\"});\n if (prefs.tshape_algo==\"Y\") assumptionsArray.push({category: \"TShape\", text: \"Consider T-shapes (burstable CPU)\"});\n if (prefs.extMemShape_algo==\"N\") assumptionsArray.push({category: \"ExtMemoryShape\", text: \"Do not consider RDS Extended Memory shapes\"});\n if (prefs.bursting_algo==\"N\") assumptionsArray.push({category: \"IOBursting\", text: \"Only consider baseline IO performance for Compute shapes\"});\n if (prefs.useRI_algo==\"OD\") assumptionsArray.push({category: \"RIs\", text: \"Do not use Reserved Instance pricing\"});\n if (prefs.optcpu_algo==\"Y\") assumptionsArray.push({category: \"LicenseVsCost\", text: \"Use Optimize CPU (picks RDS shape based on cost and right-sized provisioned VCPU)\"});\n if (prefs.optcpu_algo==\"N2\") assumptionsArray.push({category: \"LicenseVsCost\", text: \"Ignore Optimize CPU and pick RDS shape to minimize VCPU (minimize licensing)\"});\n if (prefs.optcpu_algo==\"N\") assumptionsArray.push({category: \"LicenseVsCost\", text: \"Ignore Optimize CPU and pick RDS shape by lowest AWS cost (license quantity does not matter- good for Oracle ULAs)\"});\n if (prefs.se_algo==\"rac\" && (prefs.rac_buffer_algo==\"10\") ) assumptionsArray.push({category: \"RACbuffer\", text: \"Add a target value of buffer of 10% when calculating RAC node requirements\"});\n if (prefs.se_algo==\"rac\" && (prefs.rac_min_node_algo==\"3\") ) assumptionsArray.push({category: \"RACnodes\", text: \"Use a minimum of 3 nodes\"});\n \n if (prefs.caching_algo && prefs.caching_algo!=\"N\") {\n var cacheReduce = 0;\n if (prefs.caching_algo==\"ec25\") cacheReduce=25;\n if (prefs.caching_algo==\"ec50\") cacheReduce=50;\n if (prefs.caching_algo==\"ec65\") cacheReduce=65;\n \n \n assumptionsArray.push({category: \"Caching\", text: \"Use ElastiCache and model a \" + cacheReduce + \"% reduction in RDS resources. Size ElastiCache memory to be at least 1/3 the size of reduction in the target RDS SGA\"});\n } \n \n if (prefs.ec2fsxn_algo && prefs.ec2fsxn_algo!=\"N\") {\n var ec2_picking = \"Pick EC2 Bare Metal shape with the fastest cores\";\n if (prefs.ec2fsxn_baremetal_ranking==\"minimumCost\") ec2_picking = \"Pick EC2 Bare Metal shape with the lowest shape cost\";\n if (prefs.ec2fsxn_baremetal_ranking==\"minimumCores\") ec2_picking = \"Pick EC2 Bare Metal shape with fewest total cores\";\n var corefactor = \" and guess Core Factor while treating ambiguity positively\";\n if (prefs.ec2fsxn_corefactor==\"negativeguess\") corefactor = \" and guess Core Factor while treating ambiguity negatively\";\n if (prefs.ec2fsxn_corefactor==\"N\") corefactor = \" and do not consider Core Factor\";\n \n assumptionsArray.push({category: \"EC2BareMetal\", text: ec2_picking+ corefactor});\n \n if (prefs.ec2fsxn_baremetal_HA==\"single\") assumptionsArray.push({category: \"EC2BareMetal-HA\", text: \"MultiAZ Estimates only include an EC2 Bare Metal instance in the primary AZ\"});\n if (prefs.ec2fsxn_baremetal_HA==\"Y\") assumptionsArray.push({category: \"EC2BareMetal-HA\", text: \"MultiAZ Estimates include EC2 Bare Metal instances in both AZs\"});\n }\n// console.log(\"prefsXXX\", prefs);\n // assumptionsArray.push({category: \"Region\", text: +regionInfo.region});\n\n //if memory is missing\n \n if ((data.DB_SGAPGA_TOTAL==undefined)||(data.DB_SGAPGA_TOTAL*1<1)) {\n data.Memory=6;\n data.memory_target_comments = data.memory_target_comments + \"[SGA/PGA data is missing. Assuming 6GB] \";\n } else {\n data.Memory=data.DB_SGAPGA_TOTAL;\n }\n \n //apply prefs to memory\n if ((prefs.memory_algo==\"mem2\") || (prefs.memory_algo==\"mem2_plus20_2\")) {\n //down-adjust for RAC.\n //take SGA+PGA for 1 instance and add 0.5 per additional instance\n data.Memory = data.Memory/data.NUM_INSTANCES * (1+ (data.NUM_INSTANCES-1)*0.5);\n } \n if ((prefs.memory_algo==\"mem1_plus20_2\") || (prefs.memory_algo==\"mem2_plus20_2\")) {\n // console.log(\"here i am!!!!!\");\n data.Memory = (data.Memory+Math.max(data.Memory*0.2,2));\n } \n data.Memory = data.Memory.toFixed(0);\n\n\n \n // calculate IO throughput\n data.Throughput = data.DB_IOMB_AVERAGE_P99;\n if (data.IS_PDB==\"YES\" && (prefs.pdb_algo==\"pdb2\") ) {\n data.Throughput=data.DB_PDB2_IOMB_AVERAGE_P99;\n \n data.iomb_target_comments = data.iomb_target_comments + \"[peak IO Throughput metrics not available. Using p99 of the average instead] \";\n data.DB_IOMB_PEAKS_P90=data.DB_PDB2_IOMB_AVERAGE_P99;\n data.DB_IOMB_PEAKS_P50=data.DB_PDB2_IOMB_AVERAGE_P99;\n data.DB_IOMB_PEAKS_P97=data.DB_PDB2_IOMB_AVERAGE_P99;\n\n }\n \n if ((prefs.iomb_algo!='iomb1')&&(prefs.iomb_algo!='iomb1_plus10')) {\n\n if ((prefs.iomb_algo=='iomb2')||(prefs.iomb_algo=='iomb2_plus10')) {\n data.Throughput=data.Throughput.toFixed(0);\n }\n if ((prefs.iomb_algo=='iomb3')||(prefs.iomb_algo=='iomb3_plus10')) {\n data.Throughput=(data.DB_IOMB_PEAKS_P90*1).toFixed(0);\n }\n if ((prefs.iomb_algo=='iomb4')||(prefs.iomb_algo=='iomb4_plus10')) {\n data.Throughput=Math.max(data.Throughput, (data.DB_IOMB_PEAKS_P90*1)).toFixed(0);\n }\n if ((prefs.iomb_algo=='iomb5')||(prefs.iomb_algo=='iomb5_plus10')) {\n data.Throughput=Math.max(data.Throughput, (data.DB_IOMB_PEAKS_P50*1)).toFixed(0);\n }\n if ((prefs.iomb_algo=='iomb6')||(prefs.iomb_algo=='iomb6_plus10')) {\n data.Throughput=Math.max(data.Throughput, (data.DB_IOMB_PEAKS_P97*1)).toFixed(0);\n }\n \n }\n \n //add plus10 to iomb\n if (prefs.iomb_algo.indexOf('plus10')>0) {\n data.Throughput = (data.Throughput*1.1).toFixed(0);\n }\n \n\n\n // calculate IOPS \n data.IOPS=data.DB_IOPS_AVERAGE_P99;\n if (data.IS_PDB==\"YES\" ) {\n data.iops_target_comments = data.iops_target_comments + \"[peak IOPS metrics not available. Using p99 of the average instead] \";\n data.DB_IOPS_PEAKS_P90=data.DB_IOPS_AVERAGE_P99;\n data.DB_IOPS_PEAKS_P50=data.DB_IOPS_AVERAGE_P99;\n data.DB_IOPS_PEAKS_P97=data.DB_IOPS_AVERAGE_P99;\n }\n \n if ((prefs.iops_algo!='iops1')&&(prefs.iops_algo!='iops1_plus10')) {\n let max_average = data.DB_IOPS_AVERAGE_P99 * 1;\n\n\n if ((prefs.iops_algo=='iops2')||(prefs.iops_algo=='iops2_plus10')) {\n data.IOPS=max_average.toFixed(0);\n }\n if ((prefs.iops_algo=='iops3')||(prefs.iops_algo=='iops3_plus10')) {\n data.IOPS=(data.DB_IOPS_PEAKS_P90*1).toFixed(0);\n }\n if ((prefs.iops_algo=='iops4')||(prefs.iops_algo=='iops4_plus10')) {\n data.IOPS=Math.max(max_average, (data.DB_IOPS_PEAKS_P90*1)).toFixed(0);\n }\n if ((prefs.iops_algo=='iops5')||(prefs.iops_algo=='iops5_plus10')) {\n data.IOPS=Math.max(max_average, (data.DB_IOPS_PEAKS_P50*1)).toFixed(0);\n }\n if ((prefs.iops_algo=='iops6')||(prefs.iops_algo=='iops6_plus10')) {\n data.IOPS=Math.max(max_average, (data.DB_IOPS_PEAKS_P97*1)).toFixed(0);\n }\n \n }\n \n //add plus10 to iops\n if (prefs.iops_algo.indexOf('plus10')>0) {\n data.IOPS = (data.IOPS*1.1).toFixed(0);\n }\n\n\n //apply prefs to Diskspace\n data.DiskSpace = data.TOTAL_DB_SIZE_GB;\n \n if ((prefs.diskspace_algo==\"disk1_plus15\") ) {\n // console.log(\"here i am!!!!!\");\n data.DiskSpace = (data.DiskSpace*1.15).toFixed(0);\n } \n\n \n \n \n\n\n\n\n //apply prefs to cpu\n data.VCPU = data.DB_CPU_THREADS_AVERAGE_P99;\n if (data.IS_PDB==\"YES\" && (prefs.pdb_algo==\"pdb2\") ) {\n data.VCPU=data.DB_PDB2_CPU_THREADS_AVERAGE_P99;\n\n data.cpu_target_comments = data.cpu_target_comments + \"[peak CPU metrics not available. Using p99 of the average instead] \";\n data.DB_CPU_THREADS_PEAKS_P90=data.DB_PDB2_CPU_THREADS_AVERAGE_P99;\n data.DB_CPU_THREADS_PEAKS_P97=data.DB_PDB2_CPU_THREADS_AVERAGE_P99;\n }\n\n if ((prefs.cpu_algo!='cpu1')&&(prefs.cpu_algo!='cpu1_plus10')) {\n let p90_peak = data.DB_CPU_THREADS_PEAKS_P90;\n \n\n if ((prefs.cpu_algo=='cpu2')||(prefs.cpu_algo=='cpu2_plus10')) {\n data.VCPU=(p90_peak*1);\n }\n if ((prefs.cpu_algo=='cpu3')||(prefs.cpu_algo=='cpu3_plus10')) {\n data.VCPU=Math.max(data.VCPU*1, (p90_peak*1));\n }\n if ((prefs.cpu_algo=='cpu4')||(prefs.cpu_algo=='cpu4_plus10')) {\n data.VCPU=Math.max(data.VCPU*1, (data.DB_CPU_THREADS_PEAKS_P97*1));\n }\n \n }\n \n //add plus10 to cpu\n if (prefs.cpu_algo.indexOf('plus10')>0) {\n data.VCPU = (data.VCPU*1.1);\n }\n\n // adjust threads for AIX\n if ((data.PLATFORM_NAME=='AIX-Based_Systems_(64-bit)') && (data.AIX_CPU_ADJUSTMENT*1>0) && (prefs.aix_algo!=\"none\")) {\n data.AIX_CPU_ADJUSTMENT_USED =data.AIX_CPU_ADJUSTMENT*1; \n if (prefs.aix_algo==\"old\") {\n data.AIX_CPU_ADJUSTMENT_USED =data.AIX_CPU_ADJUSTMENT*1; \n } else if (prefs.aix_algo==\"new\") {\n data.AIX_CPU_ADJUSTMENT_USED = (data.AIX_CPU_ADJUSTMENT*1) == 8 ? 4 : 2.5;\n } else if (prefs.aix_algo==\"new2\") {\n data.AIX_CPU_ADJUSTMENT_USED =(data.AIX_CPU_ADJUSTMENT*1) == 8 ? 2.0 : 1.8;\n } \n data.VCPU = (1*data.VCPU*( data.AIX_CPU_ADJUSTMENT_USED ) );\n data.cpu_target_comments=data.cpu_target_comments + `[adjusting source AIX CPU Usage based on SMT CPU time adjustment multiplier of ${data.AIX_CPU_ADJUSTMENT_USED}] `;\n \n }\n \n // convert threads for non-x86\n if ((data.PLATFORM_NAME!=\"Linux_x86_64-bit\")&&(data.PLATFORM_NAME!=\"Microsoft_Windows_x86_64-bit\")&&(data.PLATFORM_NAME!=\"Assume x86\") ) {\n data.VCPU = (1*data.VCPU/(prefs.cpu_thread_ratio*1));\n data.cpu_target_comments=data.cpu_target_comments + `[adjusting VCPU based on x86 CPU Thread Mapping Ratio of ${prefs.cpu_thread_ratio}] `;\n\n \n }\n //round data just in case\n data.VCPU = (1*data.VCPU).toFixed(1);\n\n // calculate UseMaz\n if (prefs.multiAZ_algo == \"auto\") {\n data.UseMAZ = 'No';\n if (data.NUM_INSTANCES*1 > 1) {\n data.UseMAZ = 'Yes';\n }\n }\n if (prefs.multiAZ_algo == \"N\") {\n data.UseMAZ = 'No';\n }\n if (prefs.multiAZ_algo == \"Y\") {\n data.UseMAZ = 'Yes';\n }\n \n\n // calculate UseRI and UseOptCPU\n data.UseRI = prefs.useRI_algo;\n data.UseOptCPU = prefs.optcpu_algo;\n data.cpu_thread_ratio = prefs.cpu_thread_ratio;\n data.pdb_algo = prefs.pdb_algo;\n data.smartscan_algo = prefs.smartscan_algo;\n data.smartscan_minimum = prefs.smartscan_minimum;\n data.nvme_shape_algo = prefs.nvme_shape_algo; \n data.tshape_algo = prefs.tshape_algo;\n data.extMemShape_algo = prefs.extMemShape_algo;\n \n // above, we used to store prefs one by one, but now we just store them all.\n // in future, maybe clean this up...\n data.frozen_prefs = prefs;\n // note: we overwrite this again when you create scenarios\n\n \n //now apply Exadata Adjustment\n \n //start with Exadata memory adjustment\n \n \n if ( (data.Exadata=='Yes') && (prefs.exa_memory_algo==\"em1\") ) {\n \n //only kick in if IO Throughput is >=2000MB\n if (data.Throughput*1>=2000) {\n data.OrigMemory = data.Memory;\n let newmemory = data.OrigMemory;\n //first multiple memory\n newmemory = newmemory * 2;\n // console.log(\"memory1\", newmemory);\n //next make memory at least 8GB per VCPU (same ratio as R family)\n newmemory = Math.max(newmemory, data.VCPU*8);\n // console.log(\"memory2\", newmemory);\n //next make memory at least x% of original IO Throughput\n newmemory = Math.max(newmemory, data.Throughput * 0.05);\n // console.log(\"memory3\", newmemory);\n //sanity check- don't force memory > 300GB unlesss the origmemory was\n newmemory = Math.max(data.OrigMemory, Math.min(newmemory, 300));\n // console.log(\"memory4\", newmemory);\n \n \n data.Memory = newmemory.toFixed(0);\n \n if (data.Memory*1 > data.OrigMemory*1) {\n data.memory_target_comments += `[increasing suggested Memory target from ${data.OrigMemory} GB to ${data.Memory} GB to help post-Exadata transition] `;\n } \n } \n \n }\n \n //now do Exadata IO adjustments\n data.OrigThroughput = data.Throughput;\n data.OrigIOPS = data.IOPS;\n \n //issue: in PDBs, we sometimes see DB_IOMB_AVERAGE_P99 be less than DB_EXA_CELL_BYTES_ELIG_MB_P99\n //that should not happen\n //issue2: in PDBs, we also sometimes see DB_EXA_CELL_BYTES_ELIG_MB_P99 = null\n if (data.IS_PDB=='YES') {\n let newDB_EXA_CELL_BYTES_ELIG_MB_P99 = data.DB_EXA_CELL_BYTES_ELIG_MB_P99;\n if (!newDB_EXA_CELL_BYTES_ELIG_MB_P99) {\n newDB_EXA_CELL_BYTES_ELIG_MB_P99 = 0;\n }\n newDB_EXA_CELL_BYTES_ELIG_MB_P99 = Math.min(newDB_EXA_CELL_BYTES_ELIG_MB_P99,data.DB_IOMB_AVERAGE_P99);\n let newDB_EXA_CELL_SI_SAVE_MB_P99 = Math.min(data.DB_EXA_CELL_SI_SAVE_MB_P99, newDB_EXA_CELL_BYTES_ELIG_MB_P99);\n //fix the data\n data.DB_EXA_CELL_BYTES_ELIG_MB_P99 = newDB_EXA_CELL_BYTES_ELIG_MB_P99;\n data.DB_EXA_CELL_SI_SAVE_MB_P99 = newDB_EXA_CELL_SI_SAVE_MB_P99;\n }\n \n\n if ((data.Exadata=='Yes')&&(prefs.smartscan_algo!='ss1')&&(data.Throughput*1>prefs.smartscan_minimum*1)&&(data.DB_EXA_CELL_BYTES_ELIG_MB_P99*1>0)) {\n // let ss_string='Moderate';\n // let ss_si_ratio=4;\n // let ss_nonsi_ratio=2;\n // if (prefs.smartscan_algo=='ss3') {\n // ss_string='Heavy';\n // ss_si_ratio=8;\n // ss_nonsi_ratio=4;\n // }\n // if (prefs.smartscan_algo=='ss4') {\n // ss_string='Very Heavy';\n // ss_si_ratio=12;\n // ss_nonsi_ratio=6;\n // }\n // if (prefs.smartscan_algo=='ss2a') {\n // ss_string='Light';\n // ss_si_ratio=2;\n // ss_nonsi_ratio=1.5;\n // }\n \n\n \n // let newSI=data.DB_EXA_CELL_SI_SAVE_MB_P99/ss_si_ratio;\n // let newNonSI=(data.DB_EXA_CELL_BYTES_ELIG_MB_P99-data.DB_EXA_CELL_SI_SAVE_MB_P99)/ss_nonsi_ratio;\n // //ThroughputMaxAverage may be higher than SSE because it includes non SSE items, so recalculte it\n // let newThroughputMaxAverage = data.DB_IOMB_AVERAGE_P99-data.DB_EXA_CELL_BYTES_ELIG_MB_P99+newSI+newNonSI;\n // //Throughput target value may be based on peaks as well as averages (but Exadata SSE, SI, etc are based on averages). Scale the new throughput proportionally\n // let newExadataRatio = data.DB_IOMB_AVERAGE_P99 / newThroughputMaxAverage;\n // let newThroughput = data.Throughput / newExadataRatio;\n \n // data.iomb_target_comments=data.iomb_target_comments + `[using ${ss_string} post-Exadata SmartScan Tuning Assumption to estimate/reduce I/O Throughput target from ${data.Throughput}MB/s to ${newThroughput.toFixed(0)}MB/s] `;\n // data.ExadataAdjustmentText=` [assumes ${ss_string} post-Exadata SmartScan Tuning to estimate/reduce I/O Throughput target from ${data.Throughput}MB/s to ${newThroughput.toFixed(0)}MB/s]`;\n // data.Throughput = newThroughput.toFixed(0);\n // data.ExadataAdjustment = newExadataRatio;\n\n // //also adjust VCPU based on newNonSI.\n // let newVCPU = (newNonSI/500).toFixed(1);\n // data.VCPU = (data.VCPU*1 + newVCPU*1).toFixed(1);\n // data.ExadataVCPUAdjustmentText = `[Target was increased by ${newVCPU} VCPUs based on expected ${newNonSI.toFixed(0)}MB/s non-StorageIndex SmartScan workload returning to database] `;\n // data.cpu_target_comments=data.cpu_target_comments + `[adding ${newVCPU} VCPUs based on expected ${newNonSI.toFixed(0)}MB/s non-StorageIndex Exadata SmartScan workload returning to database] `;\n let ss_string='Moderate';\n let ss_si_ratio=3;\n if (prefs.smartscan_algo=='ss3') {\n ss_string='Heavy';\n ss_si_ratio=5;\n }\n if (prefs.smartscan_algo=='ss4') {\n ss_string='Very Heavy';\n ss_si_ratio=10;\n }\n if (prefs.smartscan_algo=='ss2a') {\n ss_string='Light';\n ss_si_ratio=2;\n }\n \n\n \n let newSI=data.DB_EXA_CELL_SI_SAVE_MB_P99/ss_si_ratio;\n let newNonSI=(data.DB_EXA_CELL_BYTES_ELIG_MB_P99-data.DB_EXA_CELL_SI_SAVE_MB_P99)/ss_si_ratio;\n //ThroughputMaxAverage may be higher than SSE because it includes non SSE items, so recalculte it\n let newThroughputMaxAverage = data.DB_IOMB_AVERAGE_P99-data.DB_EXA_CELL_BYTES_ELIG_MB_P99+newSI+newNonSI;\n //Throughput target value may be based on peaks as well as averages (but Exadata SSE, SI, etc are based on averages). Scale the new throughput proportionally\n let newExadataRatio = data.DB_IOMB_AVERAGE_P99 / newThroughputMaxAverage;\n let newThroughput = data.Throughput / ss_si_ratio;\n \n data.iomb_target_comments=data.iomb_target_comments + `[using ${ss_string} post-Exadata SmartScan Tuning Assumption to estimate/reduce I/O Throughput target from ${data.Throughput}MB/s to ${newThroughput.toFixed(0)}MB/s] `;\n data.ExadataAdjustmentText=` [assumes ${ss_string} post-Exadata SmartScan Tuning to estimate/reduce I/O Throughput target from ${data.Throughput}MB/s to ${newThroughput.toFixed(0)}MB/s]`;\n data.Throughput = newThroughput.toFixed(0);\n data.ExadataAdjustment = ss_si_ratio;\n\n data.IOPS = (data.OrigIOPS / ss_si_ratio).toFixed(0);\n data.iops_target_comments=data.iops_target_comments + `[using ${ss_string} post-Exadata SmartScan Tuning Assumption to estimate/reduce IOPS target from ${data.OrigIOPS} to ${data.IOPS}] `;\n data.ExadataAdjustmentText=` [assumes ${ss_string} post-Exadata SmartScan Tuning to estimate/reduce I/O Throughput target from ${data.OrigThroughput}MB/s to ${data.Throughput}MB/s and IOPS target from ${data.OrigIOPS} to ${data.IOPS}]`;\n\n //also adjust VCPU based on newNonSI.\n if (!isNaN(newNonSI)) {\n let newVCPU = (newNonSI/500).toFixed(1);\n data.OrigVCPU = data.VCPU;\n data.VCPU = (data.VCPU*1 + newVCPU*1).toFixed(1);\n if (newVCPU*1>=0.5) {\n //only display if more than 0.5\n data.cpu_target_comments=data.cpu_target_comments + `[added an extra ${newVCPU} VCPUs based on expected ${newNonSI.toFixed(0)}MB/s non-StorageIndex Exadata SmartScan workload returning to database. Original VCPU target was ${data.OrigVCPU}] `;\n } \n data.ExadataVCPUAdjustmentText = `[VCPU target was increased from ${data.OrigVCPU} by an extra ${newVCPU} VCPUs based on expected ${newNonSI.toFixed(0)}MB/s non-StorageIndex SmartScan workload returning to database] `;\n }\n \n \n } else {\n \n //do VCPU adjustment for ss1 scenario or for < 1000MB/s scenario\n if ((data.Exadata=='Yes')) {\n //also adjust VCPU based on newNonSI.\n let newNonSI = (data.DB_EXA_CELL_BYTES_ELIG_MB_P99-data.DB_EXA_CELL_SI_SAVE_MB_P99);\n if (!isNaN(newNonSI)) {\n let newVCPU = (newNonSI/500).toFixed(1);\n data.OrigVCPU = data.VCPU;\n data.VCPU = (data.VCPU*1 + newVCPU*1).toFixed(1);\n data.ExadataVCPUAdjustmentText = `[VCPU target was increased from ${data.OrigVCPU} by an extra ${newVCPU} VCPUs based on expected ${newNonSI.toFixed(0)}MB/s non-StorageIndex SmartScan workload returning to database] `;\n if (newVCPU*1>=0.5) {\n //only display if more than 0.5\n data.cpu_target_comments=data.cpu_target_comments + `[added an extra ${newVCPU} VCPUs based on expected ${newNonSI.toFixed(0)}MB/s non-StorageIndex Exadata SmartScan workload returning to database. Original VCPU target was ${data.OrigVCPU}] `;\n } \n } \n // only show this note if >=1000 MB/s\n if (data.Throughput*1 >= prefs.smartscan_minimum*1) {\n data.iomb_target_comments=data.iomb_target_comments + `[This target value is based on the Exadata IO Throughput metrics unadjusted, which may be too high/pessimistic as it assumes the same amount of Full-table scans post-Exadata as on Exadata. When moving off Exadata, the Oracle optimizer often chooses different execution plans and this target value may be larger than needed. You can use the Assume post-SmartScan Tuning drop-down to use other algorithms to estimate different post-Exadata IO Throughput scenarios] `;\n } \n }\n }\n\n //return Assumptions\n data.assumptionsArray = assumptionsArray;\n \n var assumptionsString = \"\";\n for (var i of assumptionsArray) {\n assumptionsString += \"\"+i.category+\": \"+ i.text+\".
\";\n }\n data.assumptionsString = assumptionsString;\n // console.log(\"assumptionsString\", assumptionsString);\n \n return data;\n \n\n}\n\nfunction disclaimers (caller, callerDetail, params, regionInfo) {\n\n var theList=[];\n theList.push( \"This EXPERIMENTAL tool is developed and maintained by a database specialist solutions architect and is not officially supported by AWS.\"); \n theList.push( \"This sizing information is provided for budget estimates. No warranties or guarantees.\");\n theList.push( \"You should plan on refining the proper sizing during the performance testing phase of your migration.\");\n theList.push( \"Estimated pricing does not account for backup costs, data transfer and other networking charges, T3/T4g Unlimited mode fees, AWS Support, etc.\");\n\n if (caller != \"ODB\") {\n theList.push( \"Estimated pricing uses 1yr No Upfront Reserved Instances if requested and available, and is based on the \"+regionInfo.region+\" prices as of \"+regionInfo.lastUpdate+\".\");\n \n if ( (caller=='batch') || ( (caller=='metrics') && (callerDetail=='aurora') ) ) {\n if (params.aurora_algo!='auro1') {\n theList.push( \"The rough sizing estimate for Aurora is very ballpark and simply assumes the same VCPU and Memory targets while Throughput is mapped to the Network bandwidth of the Aurora compute shape. Aurora Storage IO costs are based on the user-selected algorithm choices.\");\n } \n } \n // console.log(\"disclaimers\", params);\n if ( (caller=='batch') || ( (caller=='metrics') && (callerDetail=='elasticache') ) ) {\n if (params.caching_algo && params.caching_algo!='N') {\n theList.push( \"The rough sizing estimate for ElastiCache (and the related reduction in database requirements) is very ballpark and based on the user-selected algorithm choices. You should plan on refining the overall sizing as part of your project.\");\n } \n } \n // console.log(\"disclaimers\", params);\n if ( (caller=='batch') || ( (caller=='metrics') && (callerDetail=='ec2fsxn') ) ) {\n if (params.ec2fsxn_algo && params.ec2fsxn_algo!='N') {\n theList.push( \"EC2 Bare Metal estimates do not include the cost of Oracle Linux Premier Support, which may be a requirement if you decide to use Oracle Linux Hypervisor Hard Partitioning.\");\n theList.push( \"When running Oracle Database on EC2 Bare Metal instances, please consult with your internal licensing experts and/or third-party Oracle License advisory firms to better understand if concepts like Oracle Linux Hypervisor Hard Partitioning and Core Factor tables apply to your situation. The DBCSI tool makes no suggestion either way.\");\n } \n } \n \n theList.push( \"Oracle BYOL Licensing estimates are provided as a courtesy estimate, but you should refer to your internal Oracle licensing experts to validate based on your specific contract and legal position with Oracle Corporation.\");\n if ( (params.optcpu_algo=='Y') && (caller!='shapes') ){\n theList.push( \"You should be aware that there is some debate in the community about how OptimizeCPU configurations should be counted by Oracle Licensing. You may want to consult with third-party license advisors. You can also tell DBCSI to ignore OptimizeCPU if that is your preference.\");\n }\n if (params.use_se) {\n theList.push( \"When using License Included RDS-Oracle for Standard Edition2, please ensure that your application does NOT need Propietary Application Hosting rights from Oracle as they are not provided.\");\n } \n if (params.use_rac) {\n theList.push( \"The sizing and pricing functionality for RDS Custom for Oracle RAC is preliminary and not official. Please validate any sizing and pricing with your AWS team.\");\n } \n } else {\n theList.push( \"Oracle Database@AWS is a Marketplace Offering with private pricing at the discretion of Oracle.\"); \n// theList.push( \"Oracle Database@AWS is not Generally Available at this time. The offering is subject to change.\"); \n theList.push( \"Above pricing is based on OCI list pricing as seen in the public OCI Cloud Cost Estimator.\");\n if (params.odbAWS_service) {\n theList.push( \"Autonomous Database Usage estimation assumes steady CPU usage and does not try to account for CPU scaling, CPU overprovisioning, or elastic pools.\");\n } \n theList.push( \"DBCSI Sizing and cost estimates for Oracle Database@AWS Marketplace offering are for introductory discussion purposes only. Consult with AWS and Oracle Corporation for further refinement.\");\n \n }\n \n\n return theList;\n} \n\n \n\nexport {calculate_target_values};\nexport {disclaimers};\n\n","\n\n\n\n\nfunction pick_ec2_shape(regionInfo, config) {\n //based on matchConfig, line 1960\n //based on targetconfig_rds() . line 3360\n \n // **************************\n // EC2 Configuration\n // **************************\n \n // ec2Items = array of different EC2 Shapes to consider\n // config = details about the target values and other properties of the database\n\n \n \n var ec2Items = regionInfo.shapes;\n //Now work on RDS\n // console.log(\"pick_rds_shape\");\n \n //Step1 - match to ec2Items\n \n var ec2Itemselected = null;\n let closeness = -999;\n let closeness_string = \"\";\n let match_string = \"\";\n\n let gap_memory= 0;\n let gap_throughput= 0;\n let gap_iops= 0;\n let gap_vcpu= 0;\n \n function rdsCompareCost(a, b) {\n // Use toUpperCase() to ignore character casing\n const itemA = ((config.UseRI=='RI') && a.Linux1yrNURI * 1 > 0 ? a.Linux1yrNURI*1 : a.LinuxOD*1) * 10000 + a.VCPU*1;\n const itemB = ((config.UseRI=='RI') && b.Linux1yrNURI * 1 > 0 ? b.Linux1yrNURI*1 : b.LinuxOD*1) * 10000 + b.VCPU*1;\n\n let comparison = 0;\n if (itemA > itemB) {\n comparison = 1;\n } else if (itemA < itemB) {\n comparison = -1;\n }\n return comparison;\n }\n\n function rdsCompareVCPU(a, b) {\n // Use toUpperCase() to ignore character casing\n const itemA = a.VCPU * 10000 + ((config.UseRI=='RI') && a.Linux1yrNURI * 1 > 0 ? a.Linux1yrNURI*1 : a.LinuxOD*1);\n const itemB = b.VCPU * 10000 + ((config.UseRI=='RI') && b.Linux1yrNURI * 1 > 0 ? b.Linux1yrNURI*1 : b.LinuxOD*1);\n\n let comparison = 0;\n if (itemA > itemB) {\n comparison = 1;\n } else if (itemA < itemB) {\n comparison = -1;\n } else if (itemA == itemB) {\n // final sort is by Name in REVERSE order. This should make r6i.xlarge appear ahead of r5.xlarge\n if (a.Name > b.Name) {\n comparison = -1;\n } else if (a.Name < b.Name) {\n comparison = 1;\n }\n }\n return comparison;\n }\n \n //if optcpu_algo is N, sort by cost, then VCPU. if optcpu_algo is N2, sort by VCPU, then cost\n if (config.frozen_prefs.optcpu_algo==\"N2\") {\n ec2Items.sort(rdsCompareVCPU);\n // console.log(\"sort by VCPU\");\n } else {\n ec2Items.sort(rdsCompareCost);\n // console.log(\"sort by Cost\");\n } \n \n for (var bii = 0; bii < ec2Items.length; bii++) {\n \n //only process if Linux record\n if (ec2Items[bii].LinuxOD *1 >0) {\n\n //check if we can use T shapes. \n // console.log(\"substr: \"+ec2Items[bii].Name);\n if (\n config.frozen_prefs.tshape_algo == \"Y\" ||\n ec2Items[bii].Name.substring(0, 1) != \"t\"\n ) {\n \n match_string = `${ec2Items[bii].Name} with ${ec2Items[bii].VCPU} VCPU${((typeof ec2Items[bii].OptimizeVCPUs != \"undefined\")&&(ec2Items[bii].OptimizeVCPUs != null)&&(ec2Items[bii].OptimizeVCPUs != \"None\")&& (ec2Items[bii].OptimizeVCPUs != \"2\")&&(config.frozen_prefs.optcpu_algo==\"Y\") ) ? \" (OptimizeCPU eligible)\" : \"\"}, ${ec2Items[bii].Memory} GB, ${ec2Items[bii].Throughput} MB/s, ${ec2Items[bii].IOPS} IOPS`;\n \n //TODO: have flag to choose or not choose t* shapes\n if (\n ec2Items[bii].VCPU * 1 >= config.VCPU * 1 &&\n ec2Items[bii].Memory * 1 >= config.Memory * 1 &&\n ec2Items[bii].Throughput * 1 >= config.Throughput * 1 &&\n ec2Items[bii].IOPS * 1 >= config.IOPS * 1\n ) {\n \n //check if we should skip this because it does not support OptimizeCPU\n if ((typeof ec2Items[bii].OptimizeVCPUs != \"undefined\")&&(ec2Items[bii].OptimizeVCPUs != null)) {\n ec2Itemselected = ec2Items[bii];\n // console.log(\"Submit: found rds match:\"+ec2Items[bii].Name)\n break;\n } else {\n //this shape does not use optimizeCPU. are we close?\n if ((ec2Items[bii].VCPU * 1 - config.VCPU * 1)<5) {\n //close enough\n ec2Itemselected = ec2Items[bii];\n // console.log(\"Submit: found rds match:\"+ec2Items[bii].Name+ \" reqVCPU=\"+config.VCPU + \"shapeVCPU=\"+ec2Items[bii].VCPU)\n break;\n }\n \n \n }\n } else {\n //the shape was not selected.\n let new_closeness = Math.min((ec2Items[bii].VCPU * 1 - config.VCPU * 1) / ec2Items[bii].VCPU,0) +\n Math.min((ec2Items[bii].Memory * 1 - config.Memory * 1 ) / ec2Items[bii].Memory,0) +\n Math.min((ec2Items[bii].Throughput * 1 - config.Throughput * 1 ) / ec2Items[bii].Throughput,0) +\n Math.min((ec2Items[bii].IOPS * 1 - config.IOPS * 1) / ec2Items[bii].IOPS,0);\n \n if (new_closeness > closeness) {\n gap_memory= Math.max((config.Memory * 1 ) - ec2Items[bii].Memory * 1 ,0);\n gap_throughput= Math.max((config.Throughput * 1 ) - ec2Items[bii].Throughput * 1 ,0);\n gap_iops= Math.max((config.IOPS * 1 ) - ec2Items[bii].IOPS * 1 ,0);\n gap_vcpu= Math.max((config.VCPU * 1 ) - ec2Items[bii].VCPU * 1 ,0);\n // console.log(ec2Items[bii].Name, new_closeness);\n // console.log(\"Next closest match:\",ec2Items[bii].Name,\" \",ec2Items[bii].VCPU,\" \",ec2Items[bii].Memory,\" \",ec2Items[bii].Throughput,\" \",ec2Items[bii].IOPS);\n // closeness_string = `Next closest match: ${ec2Items[bii].Name} with ${ec2Items[bii].VCPU} VCPU${( ((typeof ec2Items[bii].OptimizeVCPUs != \"undefined\")&&(ec2Items[bii].OptimizeVCPUs != null)) && (ec2Items[bii].OptimizeVCPUs != \"2\") && (config.frozen_prefs.optcpu_algo==\"Y\") && (config.UseSE2==\"No\") && ((ec2Items[bii].VCPU * 1 - config.VCPU * 1)>0) ) ? \" (OptimizeCPU eligible)\" : \"\"}, ${ec2Items[bii].Memory} GB, ${ec2Items[bii].Throughput} MB/s, ${ec2Items[bii].IOPS} IOPS`;\n closeness_string = `Next closest match: ${ec2Items[bii].Name} with ${ec2Items[bii].VCPU} VCPU${(gap_vcpu>0) ? \" (short \"+gap_vcpu.toFixed(1)+\" VCPU)\" : \"\"}${( ((typeof ec2Items[bii].OptimizeVCPUs != \"undefined\")&&(ec2Items[bii].OptimizeVCPUs != null)&&(ec2Items[bii].OptimizeVCPUs != \"None\")) && (ec2Items[bii].OptimizeVCPUs != \"2\") && (config.frozen_prefs.optcpu_algo==\"Y\") && (config.UseSE2==\"No\") && ((ec2Items[bii].VCPU * 1 - config.VCPU * 1)>0) ) ? \" (OptimizeCPU eligible)\" : \"\"}, ${ec2Items[bii].Memory} GB${(gap_memory>0) ? \" (short \"+gap_memory+\" GB)\" : \"\"}, ${ec2Items[bii].Throughput} MB/s${(gap_throughput>0) ? \" (short \"+gap_throughput+\" MB/s)\" : \"\"}, ${ec2Items[bii].IOPS} IOPS${(gap_iops>0) ? \" (short \"+gap_iops+\" IOPS)\" : \"\"}`;\n closeness=new_closeness;\n }\n } //end if selected\n } //end if t shape \n } // end only process if Linux\n } //end loop\n \n \n // console.log(match_string);\n // console.log(\"RDS\", closeness_string);\n if (ec2Itemselected==null) {\n ec2Itemselected = { Name: null};\n }\n ec2Itemselected.closeness_string = closeness_string;\n ec2Itemselected.match_string = match_string;\n ec2Itemselected.ec2_gap_memory = gap_memory;\n ec2Itemselected.ec2_gap_throughput = gap_throughput;\n ec2Itemselected.ec2_gap_iops = gap_iops;\n ec2Itemselected.ec2_gap_vcpu = gap_vcpu;\n return ec2Itemselected;\n }\n \n\n\n\nfunction calculate_ec2_config(regionInfo, ec2ItemSelected, config) {\n//based on matchConfig, line 1960\n//based on targetconfig_rds() . line 3360\n\n// **************************\n// EC2 Configuration\n// **************************\n\n// ec2ItemSelected = a document contain specific ec2Item (shape) and its details, closeness_string, and match_string\n// config = details about the target values and other properties of the database\n\n\n\n if ( (config.VolumeType==undefined) || (config.VolumeType=='') ) {\n if (config.frozen_prefs.ebs_algo=='gp2') config.VolumeType='gp2';\n if (config.frozen_prefs.ebs_algo=='gp3') config.VolumeType='gp3';\n if (config.frozen_prefs.ebs_algo=='io1') config.VolumeType='io1';\n \n if (config.frozen_prefs.ebs_algo=='p-gp') {\n //Prefer gp2 or gp3\n config.VolumeType='gp3'; //default gp3 for now\n }\n } \n // Step 2 - prepare additional fields describing the configuration \n \n \n //TODO hard code backup for now\n config.BackupType = 'none';\n config.Backup = '0';\n config.SnapshotDays = '1';\n\n\n if ((ec2ItemSelected.Name == null)) {\n // console.log(\"Submit: No matching EC2 found for \"+ config.database);\n \n \n // Step 2a- This is not a fit for EC2, so respond accordingly\n \n \n \n config.iomb_warnings = \"Y\";\n config.ec2_shape = \"N/A\";\n\n \n config.targetconfig_ec2 = {\n summaryText: \"DBCSI's current logic is not able to auto-size this configuration for EC2. Please reach out to your AWS Database Specialist for help.\",\n monthly_estimate: \"null\", \n shape: \"null\",\n shape_OD: \"null\",\n shape_RI: \"null\",\n shape_RI_SE2: \"null\",\n shape_max_vcpu: \"null\",\n shape_optimize_vcpu: \"null\",\n requested_vcpu: \"null\",\n shape_memory: \"null\",\n requested_memory: \"null\",\n shape_throughput: \"null\",\n requested_throughput: \"null\",\n shape_summaryText: \"\",\n ebs_data_type: \"null\",\n ebs_data_size: \"null\",\n ebs_data_iops: \"\",\n ebs_data_summaryText1: \"\",\n ebs_data_summaryText2: \"\",\n backup_style: \"null\",\n ebs_backup_type: \"null\",\n ebs_backup_size: \"null\",\n ebs_backup_iops: \"\",\n ebs_backup_snap_size: \"\",\n ebs_backup_summaryText1: \"\",\n ebs_backup_summaryText2: \"\",\n license_summaryText: \"\",\n comments: \"\",\n warnings: \"No matching shape found\",\n iops_warnings: \"\",\n UseMAZ: \"No\",\n UseSE2: \"No\",\n closeness_string: ec2ItemSelected.closeness_string,\n match_string: \"\"\n };\n \n\n } else\n {\n\n\n // Step 2b - This is a fit for EC2. So, describe it\n \n \n // this is the old targetconfig_rds code...\n var tempConfig = {\n summaryText: \"Select an EC2 Shape to continue...\",\n monthly_estimate: \"null\",\n shape: \"null\",\n shape_OD: \"null\",\n shape_RI: \"null\",\n shape_RI_SE2: \"null\",\n shape_max_vcpu: \"null\",\n shape_optimize_vcpu: \"null\",\n requested_vcpu: \"null\",\n shape_memory: \"null\",\n requested_memory: \"null\",\n shape_throughput: \"null\",\n requested_throughput: \"null\",\n shape_baselinethroughput: \"null\", \n shape_baselineIOPS: \"null\", \n shape_IOPS: \"null\", \n shape_summaryText: \"\",\n shape_cost: \"\",\n ebs_data_type: \"null\",\n ebs_data_size: \"null\",\n ebs_data_iops: \"\",\n ebs_data_summaryText1: \"\",\n ebs_data_summaryText2: \"\",\n ebs_data_cost: \"\",\n ebs_baseline_IOPS: \"\",\n ebs_burst_IOPS: \"\",\n \"backup_style\" : \"null\",\n \"ebs_backup_type\" : \"null\",\n \"ebs_backup_size\" : \"null\",\n \"ebs_backup_iops\" : \"\",\n ebs_backup_snap_size: \"\",\n ebs_backup_summaryText1: \"\",\n ebs_backup_summaryText2: \"\",\n ebs_backup_cost: \"\",\n license_summaryText: \"\",\n comments: \"\",\n iomb_warnings: \"\",\n cpu_warnings: \"\",\n iops_warnings: \"\",\n UseMAZ: \"No\",\n UseSE2: \"No\"\n };\n\n\n\n tempConfig.shape = ec2ItemSelected.Name;\n tempConfig.shape_OD = ec2ItemSelected.LinuxOD;\n tempConfig.shape_RI = ec2ItemSelected.Linux1yrNURI;\n tempConfig.shape_max_vcpu = ec2ItemSelected.VCPU;\n tempConfig.shape_optimize_vcpu = ec2ItemSelected.VCPU;\n tempConfig.requested_vcpu = config.VCPU;\n tempConfig.requested_memory = config.Memory;\n tempConfig.shape_memory = ec2ItemSelected.Memory;\n tempConfig.requested_throughput = config.Throughput;\n tempConfig.shape_throughput = ec2ItemSelected.Throughput;\n tempConfig.shape_baselinethroughput = ec2ItemSelected.BaselineThroughput;\n tempConfig.shape_baselineIOPS= ec2ItemSelected.BaselineIOPS; \n tempConfig.shape_IOPS= ec2ItemSelected.IOPS; \n tempConfig.ebs_data_type = config.VolumeType;\n tempConfig.ebs_data_size = config.DiskSpace;\n \n tempConfig.UseMAZ = config.UseMAZ;\n tempConfig.UseSE2 = \"No\";\n\n \n \n if (typeof tempConfig.comments === \"undefined\") {\n tempConfig.comments = \"\";\n }\n\n if (1 * tempConfig.requested_vcpu > 1 * tempConfig.shape_max_vcpu) {\n tempConfig.cpu_warnings =\n tempConfig.cpu_warnings +\n \"The shape \" +\n tempConfig.shape +\n \" does not have \" +\n tempConfig.requested_vcpu +\n \" VCPUs. \";\n }\n if (1 * tempConfig.requested_memory > 1 * tempConfig.shape_memory) {\n tempConfig.cpu_warnings =\n tempConfig.cpu_warnings +\n \"The shape \" +\n tempConfig.shape +\n \" does not have \" +\n tempConfig.requested_memory +\n \" GB of memory. \";\n }\n if (1 * tempConfig.requested_throughput >\n 1 * tempConfig.shape_throughput\n ) {\n tempConfig.iomb_warnings =\n tempConfig.iomb_warnings +\n \"The shape \" +\n tempConfig.shape +\n \" does not support \" +\n tempConfig.requested_throughput +\n \" MB/s of IO throughput. \";\n } else {\n if (1 * tempConfig.shape_baselinethroughput > 0 && (\n 1 * tempConfig.requested_throughput >\n 1 * tempConfig.shape_baselinethroughput)\n ) \n {\n tempConfig.iomb_warnings =\n tempConfig.iomb_warnings +\n \"The shape \" +\n tempConfig.shape +\n \" can burst for short periods to the requested \" +\n tempConfig.requested_throughput +\n \" MB/s of IO throughput, but has a baseline throughput of \" + tempConfig.shape_baselinethroughput + \" MB/s. \";\n }\n } \n \n\n //optimizeVCPU calculation\n if (!((config.frozen_prefs.optcpu_algo==\"N2\") || (config.frozen_prefs.optcpu_algo==\"N\") )) {\n // does this shape offer optimizeVCPU?\n if ((typeof ec2ItemSelected.OptimizeVCPUs != \"undefined\")&&(ec2ItemSelected.OptimizeVCPUs != null)) {\n //find the closest match...\n\n var choices = ec2ItemSelected.OptimizeVCPUs.split(\",\");\n for (var ov = 0; ov < choices.length; ov++) {\n // console.log(\"optimizeVCPU debug1:\"+tempConfig.requested_vcpu+\" \"+choices[ov]);\n if (1 * choices[ov] >= tempConfig.requested_vcpu * 1) {\n tempConfig.shape_optimize_vcpu = choices[ov];\n if (tempConfig.shape_optimize_vcpu*1 < tempConfig.requested_vcpu * 1) {\n tempConfig.cpu_warnings = tempConfig.cpu_warnings + \"Optimize CPU feature considered for licensing benefits. \";\n } \n // console.log(\"Using optimizevcpu\"+choices[ov])\n break;\n }\n }\n }\n } else {\n tempConfig.shape_optimize_vcpu = tempConfig.shape_max_vcpu;\n }\n \n var shapeCost = 0;\n\n //licenseText\n\n tempConfig.license_summaryText =\n \"Oracle BYOL for \" +\n tempConfig.shape_optimize_vcpu +\n \" VCPUs \";\n if (tempConfig.UseMAZ==\"Yes\") {\n tempConfig.license_summaryText +=\n \"per node (\" + 1 * tempConfig.shape_optimize_vcpu +\n \" Oracle Processor Licenses total - accounts for licensing both nodes of 2-nodeHA)\";\n } else {\n tempConfig.license_summaryText +=\n \"(\"+ 0.5 * tempConfig.shape_optimize_vcpu +\n \" Oracle Processor Licenses)\";\n } \n \n if (1 * tempConfig.shape_max_vcpu - tempConfig.shape_optimize_vcpu > 0) {\n tempConfig.license_summaryText =\n tempConfig.license_summaryText +\n \". Optimize CPU feature used to go from \" +\n tempConfig.shape_max_vcpu +\n \" to \" +\n tempConfig.shape_optimize_vcpu +\n \" VCPUs.\";\n }\n \n if ((config.frozen_prefs.optcpu_algo==\"Y\")&&(1 * tempConfig.shape_optimize_vcpu - tempConfig.requested_vcpu > 4)) {\n tempConfig.cpu_warnings =\n tempConfig.cpu_warnings +\n \"This shape does not appear to offer the Optimize CPU feature. \";\n }\n\n if (tempConfig.UseMAZ==\"Yes\") {\n \n if ((config.UseRI=='RI') && tempConfig.shape_RI > 0) {\n shapeCost = ec2ItemSelected.Linux1yrNURI * 730 *2;\n tempConfig.shape_summaryText =\n \"EC2 Compute Monthly estimate using 2-nodeHA (using 1-year standard Reserved Instance pricing): $\" +\n shapeCost.toFixed(2);\n } else {\n shapeCost = ec2ItemSelected.LinuxOD * 730 *2;\n \n tempConfig.shape_summaryText =\n \"EC2 Compute Monthly estimate using 2-nodeHA (using On-Demand pricing): $\" +\n shapeCost.toFixed(2);\n }\n \n } else {\n if ((config.UseRI=='RI') && tempConfig.shape_RI > 0) {\n shapeCost = ec2ItemSelected.Linux1yrNURI * 730;\n tempConfig.shape_summaryText =\n \"EC2 Compute Monthly estimate (using 1-year standard Reserved Instance pricing): $\" +\n shapeCost.toFixed(2);\n } else {\n shapeCost = ec2ItemSelected.LinuxOD * 730;\n \n tempConfig.shape_summaryText =\n \"EC2 Compute Monthly estimate (using On-Demand pricing): $\" +\n shapeCost.toFixed(2);\n }\n }\n tempConfig.shape_cost = shapeCost;\n\n var tempCost=0.0;\n var mazString = \"\";\n var mazFactor = 1.0;\n if (tempConfig.UseMAZ==\"Yes\") {\n mazString=\" using 2-nodeHA\";\n mazFactor = 2.0;\n }\n\n \n // tempConfig.shape_summaryText =\n // \"EC2 Compute Monthly estimate\"+mazString+\" (using 1-year standard Reserved Instance pricing): $\" +\n // (ec2ItemSelected.Linux1yrNURI * 730* mazFactor).toFixed(2);\n // tempConfig.shape_cost=(ec2ItemSelected.Linux1yrNURI * 730* mazFactor);\n\n var tempString = \"EC2 Monthly\"+mazString+ \" = \";\n \n \n if (config.VolumeType == \"io1\") {\n // io1\n tempConfig.ebs_data_summaryText1 =\n \"EBS Volume Type (DATA): \" +\n config.DiskSpace +\n \" GB of io1 (Provisioned IOPS SSD) at \" +\n config.IOPS +\n \" IOPS.\";\n\n tempConfig.ebs_data_iops = config.IOPS;\n tempConfig.ebs_data_cost = (config.DiskSpace * regionInfo.ec2_io1_gb * mazFactor) +(regionInfo.ec2_io1_iops * config.IOPS* mazFactor);\n tempConfig.ebs_data_summaryText2 =\n \"EBS Storage\"+mazString+\" Monthly estimate: EBS Volumes=$\" +\n (tempConfig.ebs_data_cost).toFixed(2) + \" [Storage=$\"+\n (config.DiskSpace * regionInfo.ec2_io1_gb * mazFactor).toFixed(2) +\n \", IOPS=$\" +\n (regionInfo.ec2_io1_iops * config.IOPS* mazFactor).toFixed(2) + \"] \" ;\n\n tempString =\n tempString +\n \"[\" +\n ec2ItemSelected.Name +\n \"] + EBS(DATA)=[\" +\n config.VolumeType +\n \" @ \" +\n config.DiskSpace +\n \" GB @ \" +\n config.IOPS +\n \" IOPS]\";\n tempCost =\n 1 * tempCost +\n (shapeCost +\n config.DiskSpace * regionInfo.ec2_io1_gb * mazFactor +\n regionInfo.ec2_io1_iops * config.IOPS* mazFactor);\n } else if (config.VolumeType == \"io2\") {\n //io2\n tempConfig.ebs_data_summaryText1 =\n \"EBS Volume Type (DATA): \" +\n config.DiskSpace +\n \" GB of io2 (Provisioned IOPS SSD) at \" +\n config.IOPS +\n \" IOPS.\";\n \n //assumption: instead of provisioning 1 volume at N IOPS, we provision 4 volumes at N/4 IOPS.\n \n var iopsCost=0.0;\n var tempIOPS = config.IOPS / 4;\n \n if (tempIOPS<=32000) {\n iopsCost=tempIOPS*regionInfo.ec2_io2_iops1* mazFactor;\n } else {\n iopsCost=32000*regionInfo.ec2_io2_iops1* mazFactor;\n if (tempIOPS<=64000) {\n iopsCost=32000*regionInfo.ec2_io2_iops1* mazFactor + (tempIOPS-32000)*regionInfo.ec2_io2_iops2* mazFactor;\n } else {\n iopsCost=32000*regionInfo.ec2_io2_iops1* mazFactor + 32000*regionInfo.ec2_io2_iops2 * mazFactor+ (tempIOPS-64000)*regionInfo.ec2_io2_iops3* mazFactor;\n }\n }\n iopsCost = iopsCost*4; //add up IOPS costs for all 4 volumes\n if (config.IOPS*1>128000) {\n //add message that we are using 4 volumes to calculate pricing\n tempConfig.ebs_data_summaryText1 += \" (Assuming 4 io2 volumes, each with \"+config.IOPS/4+ \" IOPS)\";\n }\n\n tempConfig.ebs_data_iops = config.IOPS;\n tempConfig.ebs_data_cost = (config.DiskSpace * regionInfo.ec2_io2_gb* mazFactor) +iopsCost;\n\n tempConfig.ebs_data_summaryText2 =\n \"EBS Storage\"+mazString+\" Monthly estimate: EBS Volumes=$\" +\n (tempConfig.ebs_data_cost).toFixed(2) + \" [Storage=$\"+\n (config.DiskSpace * regionInfo.ec2_io2_gb* mazFactor).toFixed(2) +\n \", IOPS=$\" +\n (iopsCost).toFixed(2) + \"] \" ;\n\n\n tempString =\n tempString +\n \"[\" +\n ec2ItemSelected.Name +\n \"] + EBS(DATA)=[\" +\n config.VolumeType +\n \" @ \" +\n config.DiskSpace +\n \" GB @ \" +\n config.IOPS +\n \" IOPS]\";\n tempCost =\n 1 * tempCost +\n (shapeCost +\n tempConfig.ebs_data_cost);\n\n if (1 * config.IOPS > 256000) {\n tempConfig.iops_warnings =\n tempConfig.iops_warnings +\n \"This tool may not compute prices accurately when specifying over 256000 IOPS. \";\n }\n if (1 * config.IOPS > 500 * config.DiskSpace) {\n tempConfig.iops_warnings =\n tempConfig.iops_warnings +\n \"io2 can support up to 500 IOPS per GB, which for your disk storage size would be \" +\n config.DiskSpace * 500 +\n \". This is less than your desired \" +\n config.IOPS +\n \" IOPS. \";\n }\n \n //if this blockexpress, ensure that we only use r5b, x2idn, or x2iedn\n \n //other things to check?\n //io2 volume max is 16TB. io2 block express max is 64TB\n //io2 block express can do 1000 IOPS/GB (more than 500)\n \n \n } else if (config.VolumeType == \"gp3\") {\n //gp3\n tempConfig.ebs_data_summaryText1 =\n \"EBS Volume Type (DATA): \" +\n config.DiskSpace +\n \" GB of gp3 (General Purpose SSD) at \" +\n config.IOPS +\n \" IOPS and \" +\n tempConfig.requested_throughput +\n \" MB/s. \";\n var iopsCost=0.0;\n if (config.IOPS*1>3000) {\n iopsCost=(config.IOPS-3000)*regionInfo.ec2_gp3_iops* mazFactor;\n } \n\n var mbsCost=0.0;\n if (tempConfig.requested_throughput*1>125) {\n mbsCost=(tempConfig.requested_throughput-125)*regionInfo.ec2_gp3_thru/1024* mazFactor; \n } \n \n tempConfig.ebs_data_iops = config.IOPS;\n tempConfig.ebs_data_cost = (config.DiskSpace * regionInfo.ec2_gp3_gb* mazFactor) +iopsCost + mbsCost;\n\n tempConfig.ebs_data_summaryText2 =\n \"EBS Storage\"+mazString+\" Monthly estimate: EBS Volumes=$\" +\n (tempConfig.ebs_data_cost).toFixed(2) + \" [Storage=$\"+\n (config.DiskSpace * regionInfo.ec2_gp3_gb* mazFactor).toFixed(2) +\n \", IOPS=$\" +\n (iopsCost).toFixed(2) +\n \", MB/s=$\" +\n (mbsCost).toFixed(2) +\"] \" ;\n\n\n tempString =\n tempString +\n \"[\" +\n ec2ItemSelected.Name +\n \"] + EBS(DATA)=[\" +\n config.VolumeType +\n \" @ \" +\n config.DiskSpace +\n \" GB @ \" +\n config.IOPS +\n \" IOPS @ \"+\n tempConfig.requested_throughput +\n \" MB/s]\";\n tempCost =\n 1 * tempCost +\n (shapeCost +\n tempConfig.ebs_data_cost);\n\n if (1 * config.IOPS > 500 * config.DiskSpace) {\n tempConfig.iops_warnings =\n tempConfig.iops_warnings +\n \"gp3 can support up to 500 IOPS per GB, which for your disk storage size would be \" +\n config.DiskSpace * 500 +\n \". This is less than your desired \" +\n config.IOPS +\n \" IOPS. \";\n }\n //other things to check?\n \n } else { \n //gp2\n tempConfig.ebs_data_summaryText1 =\n \"EBS Volume Type (DATA): \" +\n config.DiskSpace +\n \" GB of gp2 (General Purpose SSD)\";\n tempConfig.ebs_data_summaryText2 =\n \"EBS Storage\"+mazString+\" Monthly estimate: EBS Volumes=$\" +\n (config.DiskSpace * regionInfo.ec2_gp2_gb* mazFactor).toFixed(2);\n\n tempConfig.ebs_data_cost = (config.DiskSpace * regionInfo.ec2_gp2_gb* mazFactor) ;\n \n\n if (1 * config.IOPS > 3 * config.DiskSpace + 2) {\n tempConfig.iops_warnings =\n tempConfig.iops_warnings +\n \"Calculated gp2 baseline IOPS of \" +\n config.DiskSpace * 3 +\n \" is less than your desired \" +\n config.IOPS +\n \" IOPS (please confirm that the gp2 bursting profile fits your workload). \";\n }\n // https://aws.amazon.com/blogs/database/understanding-burst-vs-baseline-performance-with-amazon-rds-and-gp2/\n\n tempString =\n tempString +\n \"[\" +\n ec2ItemSelected.Name +\n \"] + EBS(DATA)=[\" +\n config.VolumeType +\n \" @ \" +\n config.DiskSpace +\n \" GB]\";\n tempCost =\n 1 * tempCost +\n (shapeCost + config.DiskSpace * regionInfo.ec2_gp2_gb* mazFactor);\n }\n\n //backup style\n var snapshotSize = 0;\n if (\n config.BackupType == \"datasnap\" ||\n config.BackupType == \"frasnap\"\n ) {\n // assume 0.7 for database backup compression: skip null blocks\n snapshotSize =\n ((config.Backup * 60 * 60 * 24) / 1024) * config.SnapshotDays +\n config.DiskSpace * 0.7;\n }\n\n if (config.BackupType == \"fra\") {\n tempConfig.ebs_backup_size = 1.25 * config.DiskSpace;\n tempConfig.ebs_backup_cost=tempConfig.ebs_backup_size * regionInfo.ec2_gp2_gb;\n tempCost = tempCost + tempConfig.ebs_backup_cost;\n \n\n tempConfig.ebs_backup_summaryText1 =\n \"EBS Volume Type (Flash Recovery Area): \" +\n tempConfig.ebs_backup_size +\n \" GB of gp2 (General Purpose SSD)\";\n tempConfig.ebs_backup_summaryText2 =\n \"Monthly estimate (FRA): EBS Volumes=$\" + tempConfig.ebs_backup_cost.toFixed(2);\n \n tempString =\n tempString +\n \" + EBS(FRA)=[gp2 @ \" +\n config.DiskSpace * 1.25 +\n \" GB]\";\n }\n if (config.BackupType == \"datasnap\") {\n tempConfig.ebs_backup_snap_size = snapshotSize;\n tempConfig.ebs_backup_cost=0.05 * snapshotSize;\n tempCost = tempCost + tempConfig.ebs_backup_cost;\n\n tempConfig.ebs_backup_summaryText1 =\n \"EBS Snapshots (DATA): estimated \" +\n tempConfig.ebs_backup_snap_size.toFixed(0) +\n \" GB of Snapshots\";\n tempConfig.ebs_backup_summaryText2 =\n \"Monthly estimate (Snapshots of DATA): EBS Snapshots=$\" +\n tempConfig.ebs_backup_cost.toFixed(2);\n \n\n tempString =\n tempString +\n \" + Snapshots(DATA)=[\" +\n snapshotSize.toFixed(0) +\n \" GB of Snapshots]\";\n }\n if (config.BackupType == \"frasnap\") {\n tempConfig.ebs_backup_size = 1.25 * config.DiskSpace;\n tempConfig.ebs_backup_snap_size = snapshotSize;\n tempCost =\n tempCost + 1.25 * config.DiskSpace * regionInfo.ec2_gp2_gb + 0.05 * snapshotSize;\n\n tempConfig.ebs_backup_summaryText1 =\n \"EBS Volume Type (Flash Recovery Area): \" +\n tempConfig.ebs_backup_size +\n \" GB of gp2 (General Purpose SSD) with estimated \" +\n tempConfig.ebs_backup_snap_size.toFixed(0) +\n \" GB of Snapshots\";\n tempConfig.ebs_backup_summaryText2 =\n \"Monthly estimate (FRA): EBS Volumes=$\" +\n (tempConfig.ebs_backup_size * regionInfo.ec2_gp2_gb).toFixed(2) +\n \", EBS Snapshots=$\" +\n (0.05 * tempConfig.ebs_backup_snap_size).toFixed(2);\n\n tempConfig.ebs_backup_cost=1.25 * config.DiskSpace * regionInfo.ec2_gp2_gb + 0.05 * snapshotSize;\n\n tempString =\n tempString +\n \" + EBS(FRA)=[gp2 @ \" +\n config.DiskSpace * 1.25 +\n \" GB with \" +\n snapshotSize.toFixed(0) +\n \" GB of Snapshots]\";\n }\n tempConfig.summaryText =\n tempString +\n \"=$\" +\n tempCost.toFixed(2) +\n \" + \" +\n 0.5 * tempConfig.shape_optimize_vcpu*mazFactor +\n \" Oracle Processor Licenses + Self Management\";\n\n tempConfig.monthly_estimate = Math.round(tempCost*100)/100;\n\n\n\n \n \n // now finish up matchConfig stuff \n config.ec2_shape = tempConfig.shape;\n config.targetconfig_ec2 = tempConfig;\n config.targetconfig_ec2.closeness_string = ec2ItemSelected.closeness_string;\n config.targetconfig_ec2.match_string = ec2ItemSelected.match_string;\n\n \n if (tempConfig.iomb_warnings != \"\") {\n config.iomb_warnings = \"Y\";\n } else {\n config.iomb_warnings = \"\";\n }\n if (tempConfig.iops_warnings != \"\") {\n config.iops_warnings = \"Y\";\n } else {\n config.iops_warnings = \"\";\n }\n\n }\n\n\n return config;\n }\n\n\n\n\n\nexport {pick_ec2_shape};\nexport {calculate_ec2_config};\n","\n\n\n\n\n\nfunction pick_ec2fsxn_shape(regionInfo, config) {\n\n\n// regionInfo.shapes = array of different ec2fsxn Shapes to consider\n// config = details about the target values and other properties of the database\n\n\n\n var working_IOPS = config.IOPS;\n var working_VCPU = config.VCPU;\n var working_Memory = config.Memory;\n var working_Throughput = config.Throughput;\n var working_DiskSpace = config.DiskSpace;\n\n // set working_IOPS equal to config.AdjustedIOPS if it exists else set it to config.IOPS\n if (config.AdjustedIOPS) {\n working_IOPS = config.AdjustedIOPS;\n }\n if (config.AdjustedMemory) {\n working_Memory = config.AdjustedMemory;\n // console.log(\"pick_rds_shape\", \"Using AdjustedMemory\", working_Memory);\n }\n if(config.AdjustedThroughput) {\n working_Throughput = config.AdjustedThroughput;\n }\n if (config.AdjustedVCPU) {\n working_VCPU = config.AdjustedVCPU;\n }\n\n //Now work on ec2fsxn\n // console.log(\"pick_ec2fsxn_shape\");\n\n var Origec2fsxnItems = regionInfo.shapes;\n \n //filter out shapes that don 't have Oracle core factor \n Origec2fsxnItems = Origec2fsxnItems.filter(function(item) {\n return item.OracleCoreFactor * 2 > 0;\n }\n ); \n\n function ec2fsxnCompareVCPUCost(a, b) {\n // start with hourly price\n var itemA = ((config.UseRI=='RI') && a.Linux1yrNURI * 1 > 0 ? a.Linux1yrNURI*1 : a.LinuxOD*1) ;\n var itemB = ((config.UseRI=='RI') && b.Linux1yrNURI * 1 > 0 ? b.Linux1yrNURI*1 : b.LinuxOD*1) ;\n \n if (config.frozen_prefs.ec2fsxn_baremetal_ranking==\"fastestCore\") {\n // if there is no Score then give it a value of 20000\n // also use CoreFactor to divide score by coreFactor\n itemA = ( a.Geekbench5CoreScoreRounded ? (10000-a.Geekbench5CoreScoreRounded) : 20000 ) * 10000 + itemA ;\n itemB = ( b.Geekbench5CoreScoreRounded ? (10000-b.Geekbench5CoreScoreRounded) : 20000 ) * 10000 + itemB ;\n if (config.frozen_prefs.ec2fsxn_corefactor==\"N\") {\n itemA = ( a.Geekbench5CoreScoreRounded ? (10000-a.Geekbench5CoreScoreRounded) : 20000 ) * 10000 + itemA ;\n itemB = ( b.Geekbench5CoreScoreRounded ? (10000-b.Geekbench5CoreScoreRounded) : 20000 ) * 10000 + itemB ;\n } else if (config.frozen_prefs.ec2fsxn_corefactor==\"positiveguess\") {\n itemA = ( a.Geekbench5CoreScoreRounded ? (10000-a.Geekbench5CoreScoreRounded/a.OracleCoreFactor) : 20000 ) * 10000 + itemA ;\n itemB = ( b.Geekbench5CoreScoreRounded ? (10000-b.Geekbench5CoreScoreRounded/b.OracleCoreFactor) : 20000 ) * 10000 + itemB ;\n \n } else if (config.frozen_prefs.ec2fsxn_corefactor==\"negativeguess\") {\n itemA = ( a.Geekbench5CoreScoreRounded ? (10000-a.Geekbench5CoreScoreRounded/(a.OracleCoreFactorConfidence==\"yes\" ? a.OracleCoreFactor : 1) ) : 20000 ) * 10000 + itemA ;\n itemB = ( b.Geekbench5CoreScoreRounded ? (10000-b.Geekbench5CoreScoreRounded/(b.OracleCoreFactorConfidence==\"yes\" ? b.OracleCoreFactor : 1) ) : 20000 ) * 10000 + itemB ;\n }\n } else if (config.frozen_prefs.ec2fsxn_baremetal_ranking==\"minimumCores\") {\n if (config.frozen_prefs.ec2fsxn_corefactor==\"N\") {\n itemA = a.VCPU * 10000 + itemA ;\n itemB = b.VCPU * 10000 + itemB ;\n } else if (config.frozen_prefs.ec2fsxn_corefactor==\"positiveguess\") {\n itemA = a.VCPU * a.OracleCoreFactor * 10000 + itemA ;\n itemB = b.VCPU * b.OracleCoreFactor * 10000 + itemB ;\n } else if (config.frozen_prefs.ec2fsxn_corefactor==\"negativeguess\") {\n itemA = a.VCPU * (a.OracleCoreFactorConfidence==\"yes\" ? a.OracleCoreFactor : 1) * 10000 + itemA ;\n itemB = b.VCPU * (b.OracleCoreFactorConfidence==\"yes\" ? b.OracleCoreFactor : 1) * 10000 + itemB ;\n }\n } \n let comparison = 0;\n if (itemA > itemB) {\n comparison = 1;\n } else if (itemA < itemB) {\n comparison = -1;\n } else if (itemA == itemB) {\n // final sort is by Name in REVERSE order. This should make r6i.xlarge appear ahead of r5.xlarge\n if (a.Name > b.Name) {\n comparison = -1;\n } else if (a.Name < b.Name) {\n comparison = 1;\n }\n }\n return comparison;\n }\n \n var ec2fsxnItems = Origec2fsxnItems.sort(ec2fsxnCompareVCPUCost);\n \n // loop through ec2fsxnItems and print out the names of the shapes that match the criteria\n // for (var bii = 0; bii < ec2fsxnItems.length; bii++) {\n // console.log(ec2fsxnItems[bii].Name, ec2fsxnItems[bii].VCPU, ec2fsxnItems[bii].Geekbench5CoreScoreRounded, ec2fsxnItems[bii].OracleCoreFactor, ec2fsxnItems[bii].Linux1yrNURI);\n // }\n \n \n \n //Now work on ec2fsxn\n var ec2fsxnSelected = null;\n let closeness = -999;\n let closeness_string = \"\";\n let match_string = \"\";\n \n let gap_memory= 0;\n let gap_throughput= 0;\n let gap_vcpu= 0;\n\n for (var bii = 0; bii < ec2fsxnItems.length; bii++) {\n \n // console.log(\"looping\", ec2fsxnItems[bii].Name, ec2fsxnItems[bii].Memory, ec2fsxnItems[bii].LinuxOD );\n\n if (ec2fsxnItems[bii].LinuxOD*1>0) {\n // hard-code to allow T shapes. \n\n if ( ( true ||\n config.frozen_prefs.tshape_algo == \"Y\" ||\n ec2fsxnItems[bii].Name.substring(0, 1) != \"t\"\n ) )\n {\n \n match_string = `${ec2fsxnItems[bii].Name} with ${ec2fsxnItems[bii].VCPU} VCPU, ${ec2fsxnItems[bii].Memory} GB, ${ ec2fsxnItems[bii].Network / 8 } MB/s Network Throughput`;\n \n // console.log(\"testing\", match_string);\n\n if (\n ec2fsxnItems[bii].Memory * 1 >= working_Memory * 1 &&\n ec2fsxnItems[bii].VCPU * 1 >= working_VCPU * 1 &&\n ec2fsxnItems[bii].Network / 8 >= working_Throughput * 1 \n ) {\n //check if we can use T shapes\n // console.log(\"substr: \"+ec2fsxnItems[bii].Name.substring(0,4));\n \n ec2fsxnSelected = ec2fsxnItems[bii];\n // console.log(\"Submit: found ec2fsxn match:\"+ec2fsxnItems[bii].Name);\n break;\n \n } else {\n //the shape was not selected.\n let new_closeness = \n Math.min((ec2fsxnItems[bii].Memory * 1 - working_Memory * 1 ) / ec2fsxnItems[bii].Memory,0) +\n Math.min((ec2fsxnItems[bii].VCPU * 1 - working_VCPU * 1) / ec2fsxnItems[bii].VCPU,0) +\n Math.min((ec2fsxnItems[bii].Network / 8 - working_Throughput * 1) / (ec2fsxnItems[bii].Network/8),0);\n\n \n if (new_closeness > closeness) {\n gap_memory= Math.round((Math.max((working_Memory * 1 ) - ec2fsxnItems[bii].Memory * 1 ,0))*10)/10;\n // closeness_string = `Next closest match: ${ec2fsxnItems[bii].Name} with ${ec2fsxnItems[bii].VCPU} VCPU, ${ec2fsxnItems[bii].Memory} GB`;\n gap_throughput= Math.round( Math.max((working_Throughput * 1 ) - ec2fsxnItems[bii].Network / 8 ,0) ) ;\n gap_vcpu= Math.max((working_VCPU * 1 ) - ec2fsxnItems[bii].VCPU * 1 ,0) ;\n\n closeness_string = `Next closest match: ${ec2fsxnItems[bii].Name} with ${ec2fsxnItems[bii].VCPU} VCPU${(gap_vcpu>0) ? \" (short \"+gap_vcpu.toFixed(1)+\" VCPU)\" : \"\"}, ${ec2fsxnItems[bii].Memory} GB${(gap_memory>0) ? \" (short \"+gap_memory+\" GB)\" : \"\"}, ${ec2fsxnItems[bii].Network/8} MB/s${(gap_throughput>0) ? \" (short \"+gap_throughput+\" MB/s)\" : \"\"} Network Throughput`;\n \n closeness=new_closeness;\n }\n }\n } \n } //end if (ec2fsxnItems[bii].LinuxOD*1>0) { \n } //end loop\n \n\n // console.log(match_string);\n // console.log(\"RDS\", closeness_string);\n if (ec2fsxnSelected==null) {\n ec2fsxnSelected = { Name: null};\n }\n\n ec2fsxnSelected.closeness_string = closeness_string;\n ec2fsxnSelected.match_string = match_string;\n ec2fsxnSelected.gap_memory = gap_memory;\n ec2fsxnSelected.gap_vcpu = gap_vcpu;\n ec2fsxnSelected.gap_throughput = gap_throughput;\n\n\n return ec2fsxnSelected;\n }\n\n\n\n\n\nfunction calculate_ec2fsxn_config(regionInfo, ec2fsxnItemSelected, config) {\n\n// **************************\n// ec2fsxn Configuration\n// **************************\n\n// ec2fsxnItemSelected = a document contain specific rdsItem (shape) and its details, closeness_string, and match_string\n// config = details about the target values and other properties of the database\n\n// setup array of FSxN attributes\n var FSxN_attributes = [\n {Throughput: 128, IOPS_baseline: 6000, IOPS: 18750},\n {Throughput: 256, IOPS_baseline: 12000, IOPS: 18750},\n {Throughput: 512, IOPS: 18750},\n {Throughput: 1024, IOPS: 40000},\n {Throughput: 2048, IOPS: 80000}\n ];\n \n if ( (regionInfo.region=='us-east-1') || (regionInfo.region=='us-east-2') || (regionInfo.region=='us-west-2') || (regionInfo.region=='eu-west-1') ) {\n FSxN_attributes.push({Throughput: 4096, IOPS: 160000});\n }\n \n\n var working_IOPS = config.IOPS;\n var working_VCPU = config.VCPU;\n var working_Memory = config.Memory;\n var working_Throughput = config.Throughput;\n var working_DiskSpace = config.DiskSpace;\n\n // set working_IOPS equal to config.AdjustedIOPS if it exists else set it to config.IOPS\n if (config.AdjustedIOPS) {\n working_IOPS = config.AdjustedIOPS;\n }\n if (config.AdjustedMemory) {\n working_Memory = config.AdjustedMemory;\n // console.log(\"pick_rds_shape\", \"Using AdjustedMemory\", working_Memory);\n }\n if(config.AdjustedThroughput) {\n working_Throughput = config.AdjustedThroughput;\n }\n if (config.AdjustedVCPU) {\n working_VCPU = config.AdjustedVCPU;\n }\n \n if (working_VCPU<1) {\n working_VCPU = 1.1; //make sure we round up to 1 core\n }\n\n\n // now match throughput\n var fsxn_quantity=1;\n var fsxn_match = null;\n var fsxn_match_warning = \"\";\n \n // no need to go above 13 file systems (13 * 2GB/s)=26GB/s since our biggest EC2 can only do 25GB/s\n while (fsxn_quantity<14) {\n \n\n //loop through fsxn_attributes and find the item where the Throughput is bigger than working_Throughput\n for (var fsxn_i = 0; fsxn_i < FSxN_attributes.length; fsxn_i++) {\n if ( (FSxN_attributes[fsxn_i].Throughput > working_Throughput/fsxn_quantity) ) {\n // so we matched Throughput, but did we match IOPS\n if ( (FSxN_attributes[fsxn_i].IOPS > working_IOPS/fsxn_quantity) ) {\n fsxn_match = FSxN_attributes[fsxn_i];\n break;\n } else {\n // we did not match IOPS, so add a warning. This is should be our first warning.\n fsxn_match_warning = \"[ \" + fsxn_quantity + \" FSx-OnTap File Systems at \" + FSxN_attributes[fsxn_i].Throughput + \" MB/s only provides \"+FSxN_attributes[fsxn_i].IOPS*fsxn_quantity + \" disk IOPS. This is less than your target of \" + working_IOPS + \". Therefore, we will provision the next larger FsX Throughput. ] \";\n }\n \n \n }\n }\n \n //did we match?\n if (fsxn_match != null) {\n break;\n }\n \n //no match.\n fsxn_quantity++;\n fsxn_match_warning = \"[Switching to using \" + fsxn_quantity + \" FSx-OnTap File Systems to meet Throughput or IOPS requirements] \";\n \n }\n // Step 2 - prepare additional fields describing the configuration \n // console.log(\"fsxn_match \", fsxn_match);\n \n //TODO hard code backup for now\n config.BackupType = 'none';\n config.Backup = '0';\n config.SnapshotDays = '1';\n\n\n if ((ec2fsxnItemSelected.Name == null) ) {\n //if rds_shape==N/A, then don't pick an ec2fsxn shape either\n // console.log(\"Submit: No matching ec2fsxn found for \"+ config.database)\n // config.iomb_warnings = \"Y\";\n config.ec2fsxn_shape = \"N/A\";\n config.targetconfig_ec2fsxn = {\n summaryText: \"DBCSI's current logic is not able to auto-size this configuration for EC2 Bare Metal. Please reach out to your AWS Database Specialist for help.\",\n monthly_estimate: \"N/A\", \n shape: \"N/A\",\n shape_OD: \"null\",\n shape_RI: \"null\",\n shape_max_vcpu: \"null\",\n shape_memory: \"null\",\n requested_memory: \"null\",\n shape_throughput: \"null\",\n shape_summaryText: \"\",\n comments: \"\",\n warnings: \"No matching shape found\",\n closeness_string: ec2fsxnItemSelected.closeness_string,\n match_string: \"\"\n \n } ;\n } else if ((fsxn_match == null)) {\n \n config.ec2fsxn_shape = ec2fsxnItemSelected.Name;\n config.targetconfig_ec2fsxn = {\n summaryText: \"DBCSI's current logic is not able to auto-size this configuration for FSx-OnTap. Please reach out to your AWS Database Specialist for help.\",\n monthly_estimate: \"null\", \n shape: ec2fsxnItemSelected.Name,\n shape_OD: \"null\",\n shape_RI: \"null\",\n shape_max_vcpu: \"null\",\n shape_memory: \"null\",\n requested_memory: \"null\",\n shape_throughput: \"null\",\n shape_summaryText: \"\",\n comments: \"\",\n warnings: \"No matching shape found\",\n closeness_string: ec2fsxnItemSelected.closeness_string,\n Processor: ec2fsxnItemSelected.Processor,\n OracleCoreFactor: ec2fsxnItemSelected.OracleCoreFactor,\n OracleCoreFactorConfidence: ec2fsxnItemSelected.OracleCoreFactorConfidence,\n OracleCoreFactorString: ec2fsxnItemSelected.OracleCoreFactorString,\n Geekbench5CoreScoreRounded: ec2fsxnItemSelected.Geekbench5CoreScoreRounded,\n fsxn_warnings: \"DBCSI is currently unable to configure FSx-OnTap for this Throughput or IOPS. Please reach out to your AWS Database Specialist for help.\",\n shape_cores_needed: Math.ceil(working_VCPU / 2),\n shape_cores_available: Math.ceil(ec2fsxnItemSelected.VCPU/2),\n match_string: ec2fsxnItemSelected.match_string\n } ;\n } else\n {\n\n\n // Step 2b - This is a fit. So, describe it\n \n\n var tempConfig = {\n summaryText: \"Select an EC2 OLVM Shape to continue...\",\n monthly_estimate: \"null\",\n shape: \"null\",\n shape_OD: \"null\",\n shape_RI: \"null\",\n shape_max_vcpu: \"null\",\n shape_memory: \"null\",\n requested_memory: \"null\",\n shape_throughput: \"null\",\n shape_summaryText: \"\",\n shape_cost: \"\",\n fsxn_warnings: fsxn_match_warning,\n warnings: \"\",\n UseMAZ: \"No\"\n };\n\n\n tempConfig.shape = ec2fsxnItemSelected.Name;\n tempConfig.shape_OD = ec2fsxnItemSelected.LinuxOD;\n tempConfig.shape_RI = ec2fsxnItemSelected.Linux1yrNURI;\n tempConfig.shape_max_vcpu = ec2fsxnItemSelected.VCPU;\n tempConfig.shape_memory = ec2fsxnItemSelected.Memory;\n tempConfig.shape_network = ec2fsxnItemSelected.Network;\n tempConfig.Processor = ec2fsxnItemSelected.Processor;\n tempConfig.OracleCoreFactor = ec2fsxnItemSelected.OracleCoreFactor;\n tempConfig.OracleCoreFactorConfidence = ec2fsxnItemSelected.OracleCoreFactorConfidence;\n tempConfig.OracleCoreFactorString = ec2fsxnItemSelected.OracleCoreFactorString;\n tempConfig.Geekbench5CoreScoreRounded = ec2fsxnItemSelected.Geekbench5CoreScoreRounded;\n tempConfig.requested_vcpu = working_VCPU;\n tempConfig.requested_memory = working_Memory;\n tempConfig.requested_IOPS = working_IOPS;\n tempConfig.requested_throughput = working_Throughput;\n tempConfig.fsxn_throughput = fsxn_match.Throughput;\n tempConfig.fsxn_iops = fsxn_match.IOPS;\n tempConfig.fsxn_quantity = fsxn_quantity;\n \n if (working_DiskSpace*1 < 1024*fsxn_quantity) {\n working_DiskSpace=1024 * fsxn_quantity;\n tempConfig.fsxn_warnings =\n tempConfig.fsxn_warnings + \"[Using minimum disk space of 1024GB for each of \" + fsxn_quantity + \" FSx-OnTap File System for pricing] \";\n }\n \n if ( \n 1 * tempConfig.requested_IOPS/fsxn_quantity >\n 1 * tempConfig.fsxn_iops\n ) \n {\n tempConfig.fsxn_warnings =\n tempConfig.fsxn_warnings +\n \"[The \" + fsxn_quantity + \" FSxN File System @ \" +\n tempConfig.fsxn_throughput +\n \" MB/s can burst for short periods to the requested \" +\n tempConfig.requested_IOPS +\n \" IOPS, but has a baseline IOPS of \" + fsxn_match.IOPS_baseline*fsxn_quantity + \".] \";\n } \n \n // tempConfig.comments = this.comments.ec2fsxn;\n if (typeof tempConfig.comments === \"undefined\") {\n tempConfig.comments = \"\";\n }\n tempConfig.UseMAZ = config.UseMAZ;\n tempConfig.RIused=\"OD\";\n\n \n if (1 * tempConfig.requested_memory > 1 * tempConfig.shape_memory) {\n tempConfig.warnings =\n tempConfig.warnings +\n \"The shape \" +\n tempConfig.shape +\n \" does not have \" +\n tempConfig.requested_memory +\n \" GB of memory. \";\n }\n \n if (1 * tempConfig.requested_vcpu > 1 * tempConfig.shape_max_vcpu) {\n tempConfig.warnings =\n tempConfig.warnings +\n \"The shape \" +\n tempConfig.shape +\n \" does not have \" +\n tempConfig.requested_vcpu +\n \" VCPUs. \";\n }\n \n if (1 * tempConfig.requested_throughput > 1 * tempConfig.shape_network/8) {\n tempConfig.warnings =\n tempConfig.warnings +\n \"The shape \" +\n tempConfig.shape +\n \" does not have \" +\n tempConfig.requested_throughput +\n \" MB/s of network throughput. \";\n }\n\n\n var shapeCost = 0;\n var mazString = \"\";\n var mazFactor = 1.0;\n var FSxNmazString = \"\";\n var FSxNmazFactor = 1.0;\n var fsxn_iops = regionInfo.fsxn_iops;\n var fsxn_storage = regionInfo.fsxn_storage;\n var fsxn_throughput = regionInfo.fsxn_throughput;\n if (tempConfig.UseMAZ==\"Yes\") {\n if (config.frozen_prefs.ec2fsxn_baremetal_HA==\"Y\") {\n mazString=\"(2 instances) \";\n mazFactor = 2.0; \n } \n FSxNmazString=\" MultiAZ\";\n FSxNmazFactor = 1.0; //we set this 1 because we are using separate MAZ pricing elements\n fsxn_iops = regionInfo.fsxn_iops_maz;\n fsxn_storage = regionInfo.fsxn_storage_maz;\n fsxn_throughput = regionInfo.fsxn_throughput_maz;\n }\n \n tempConfig.shape_summaryText = \"EC2 Bare Metal [\" + \n ec2fsxnItemSelected.Name +\" \"+mazString ;\n \n \n if ((config.UseRI=='RI') && tempConfig.shape_RI > 0) {\n shapeCost = tempConfig.shape_RI * 730 * mazFactor;\n \n tempConfig.shape_summaryText += \"using 1-year standard Reserved Instance pricing\";\n tempConfig.RIused=\"RI\";\n } else {\n shapeCost = tempConfig.shape_OD * 730 * mazFactor;\n\n\n tempConfig.shape_summaryText += \"using On-Demand pricing\";\n }\n tempConfig.shape_cost = shapeCost;\n tempConfig.shape_summaryText += \" ($\" + (Math.round(100*shapeCost)/100).toFixed(2) + \")\" +\n \"] \";\n\n\n tempConfig.shape_cores_needed = Math.ceil(working_VCPU / 2);\n tempConfig.shape_cores_available = Math.ceil(tempConfig.shape_max_vcpu/2);\n tempConfig.total_cores_needed = tempConfig.shape_cores_needed * mazFactor;\n tempConfig.shape_quantity = mazFactor.toFixed(0);\n \n//put license summary here\n\n//maybe add OLVM support cost here\n\n// now do storage\n// console.log(\"fsxn I am here\");\n \n \n var extraIOPS = Math.max(0, tempConfig.requested_IOPS - 3 * working_DiskSpace) ;\n var extraIOPScost = extraIOPS * fsxn_iops * FSxNmazFactor;\n tempConfig.fsxn_addl_iops = Math.round(extraIOPS / fsxn_quantity);\n tempConfig.fsxn_diskspace = Math.round(working_DiskSpace / fsxn_quantity);\n tempConfig.fsxn_data_cost = working_DiskSpace * fsxn_storage * FSxNmazFactor +\n tempConfig.fsxn_throughput * fsxn_throughput * FSxNmazFactor * fsxn_quantity +\n extraIOPScost;\n // console.log(\"fsxn raw costs\", working_DiskSpace * fsxn_storage * FSxNmazFactor, tempConfig.fsxn_throughput * fsxn_throughput * FSxNmazFactor, extraIOPScost) ; \n // tempConfig.fsxn_data_summaryText1 =\n // \"FSx-OnTap Storage \" + FSxNmazString + \" [\" +\n // working_DiskSpace +\n // \" GB at \" +\n // tempConfig.fsxn_throughput +\n // \" MB/s\";\n // if (extraIOPS > 0) {\n \n // tempConfig.fsxn_data_summaryText1 += \" with an extra provisioned \" +extraIOPS + \" IOPS\";\n // } \n // tempConfig.fsxn_data_summaryText1 += \"]\";\n \n tempConfig.fsxn_data_summaryText1 =\n \"\" + fsxn_quantity + \" FSx-OnTap\" + FSxNmazString + \" File Systems [each \" +\n Math.round(working_DiskSpace/fsxn_quantity) +\n \" GB Storage ($\" + (Math.round(100*(working_DiskSpace * fsxn_storage * FSxNmazFactor / fsxn_quantity))/100).toFixed(2) +\") at \" +\n tempConfig.fsxn_throughput +\n \" MB/s Provisioned Throughput ($\" + (Math.round(100*(tempConfig.fsxn_throughput * fsxn_throughput * FSxNmazFactor ))/100).toFixed(2) + \")\";\n if (extraIOPS > 0) {\n \n tempConfig.fsxn_data_summaryText1 += \" with an extra Provisioned \" +Math.round(extraIOPS/fsxn_quantity) + \" IOPS ($\"+(Math.round(100*extraIOPScost/fsxn_quantity)/100).toFixed(2)+\")\";\n } \n tempConfig.fsxn_data_summaryText1 += \"]\"; \n \n // console.log(\"fsxn data cost\", tempConfig.fsxn_data_cost);\n \n var tempCost = shapeCost + tempConfig.fsxn_data_cost ;\n\n tempConfig.summaryText =\n tempConfig.shape_summaryText +\n \"+ \" +\n tempConfig.fsxn_data_summaryText1 +\n \" = $\" +\n (tempCost).toFixed(2); \n\n tempConfig.monthly_estimate=Math.round(tempCost*100)/100;\n\n\n\n var combined_throughput = Math.min(Math.round(tempConfig.fsxn_throughput * tempConfig.fsxn_quantity), Math.round(tempConfig.shape_network / 8));\n // Math.round( (tempConfig.fsxn_iops + tempConfig.fsxn_addl_iops) * tempConfig.fsxn_quantity);\n // console.log(\"combined thru,base\", combined_throughput, combined_basethroughput);\n // console.log(\"thru, origThru\", working_Throughput, config.OrigThroughput);\n \n tempConfig.OrigthroughputtargetValues = \"\";\n tempConfig.OrigthroughputtargetLabels = \"\";\n tempConfig.ThroughputtargetValues = \"\";\n tempConfig.ThroughputtargetLabels = \"\";\n var ExadataDisplay=false;\n \n //is there Caching\n if (config.AdjustedThroughput) {\n tempConfig.OrigthroughputtargetLabels = tempConfig.OrigthroughputtargetLabels + \"TargetWithCaching:\";\n tempConfig.OrigthroughputtargetValues = tempConfig.OrigthroughputtargetValues + working_Throughput + \":\";\n tempConfig.ThroughputtargetLabels = tempConfig.ThroughputtargetLabels + \"TargetWithCaching:\";\n tempConfig.ThroughputtargetValues = tempConfig.ThroughputtargetValues + working_Throughput + \":\";\n }\n \n //is there no Exadata tuning?\n if ( (config.OrigThroughput*1 == config.Throughput*1) || ! ( (config.Exadata=='Yes')&&(config.smartscan_algo!='ss1') ) ) {\n tempConfig.OrigthroughputtargetLabels = tempConfig.OrigthroughputtargetLabels + \"Target:\";\n tempConfig.OrigthroughputtargetValues = tempConfig.OrigthroughputtargetValues + config.Throughput + \":\";\n tempConfig.ThroughputtargetLabels = tempConfig.ThroughputtargetLabels + \"Target:\"; //these may not be used in this scenario\n tempConfig.ThroughputtargetValues = tempConfig.ThroughputtargetValues + config.Throughput + \":\";\n \n } else {\n ExadataDisplay = true;\n tempConfig.OrigthroughputtargetLabels = tempConfig.OrigthroughputtargetLabels + \"TargetWithTuning:ExadataPreTuning:\";\n tempConfig.OrigthroughputtargetValues = tempConfig.OrigthroughputtargetValues + config.Throughput + \":\" + config.OrigThroughput + \":\";\n tempConfig.ThroughputtargetLabels = tempConfig.ThroughputtargetLabels + \"TargetWithTuning:\";\n tempConfig.ThroughputtargetValues = tempConfig.ThroughputtargetValues + config.Throughput + \":\";\n }\n\n if (!ExadataDisplay) {\n tempConfig.OrigthroughputtargetLabels = tempConfig.OrigthroughputtargetLabels + \"Available\";\n tempConfig.OrigthroughputtargetValues = tempConfig.OrigthroughputtargetValues + combined_throughput;\n } \n tempConfig.ThroughputtargetLabels = tempConfig.ThroughputtargetLabels + \"Available\";\n tempConfig.ThroughputtargetValues = tempConfig.ThroughputtargetValues + combined_throughput;\n\n// console.log(tempConfig.OrigthroughputtargetLabels, tempConfig.OrigthroughputtargetValues, tempConfig.ThroughputtargetLabels, tempConfig.ThroughputtargetValues );\n\n var combined_IOPS = Math.round( (tempConfig.fsxn_diskspace*3 + tempConfig.fsxn_addl_iops) * tempConfig.fsxn_quantity);\n // console.log(\"combined thru,base\", combined_IOPS, combined_basethroughput);\n // console.log(\"thru, origThru\", working_IOPS, config.OrigIOPS);\n \n tempConfig.OrigIOPStargetValues = \"\";\n tempConfig.OrigIOPStargetLabels = \"\";\n tempConfig.IOPStargetValues = \"\";\n tempConfig.IOPStargetLabels = \"\";\n ExadataDisplay=false;\n \n //is there Caching\n if (config.AdjustedIOPS) {\n tempConfig.OrigIOPStargetLabels = tempConfig.OrigIOPStargetLabels + \"TargetWithCaching:\";\n tempConfig.OrigIOPStargetValues = tempConfig.OrigIOPStargetValues + working_IOPS + \":\";\n tempConfig.IOPStargetLabels = tempConfig.IOPStargetLabels + \"TargetWithCaching:\";\n tempConfig.IOPStargetValues = tempConfig.IOPStargetValues + working_IOPS + \":\";\n }\n \n //is there no Exadata tuning?\n if ( (config.OrigIOPS*1 == config.IOPS*1) || ! ( (config.Exadata=='Yes')&&(config.smartscan_algo!='ss1') ) ) {\n tempConfig.OrigIOPStargetLabels = tempConfig.OrigIOPStargetLabels + \"Target:\";\n tempConfig.OrigIOPStargetValues = tempConfig.OrigIOPStargetValues + config.IOPS + \":\";\n tempConfig.IOPStargetLabels = tempConfig.IOPStargetLabels + \"Target:\"; //these may not be used in this scenario\n tempConfig.IOPStargetValues = tempConfig.IOPStargetValues + config.IOPS + \":\";\n \n } else {\n ExadataDisplay = true;\n tempConfig.OrigIOPStargetLabels = tempConfig.OrigIOPStargetLabels + \"TargetWithTuning:ExadataPreTuning:\";\n tempConfig.OrigIOPStargetValues = tempConfig.OrigIOPStargetValues + config.IOPS + \":\" + config.OrigIOPS + \":\";\n tempConfig.IOPStargetLabels = tempConfig.IOPStargetLabels + \"TargetWithTuning:\";\n tempConfig.IOPStargetValues = tempConfig.IOPStargetValues + config.IOPS + \":\";\n }\n\n if (!ExadataDisplay) {\n tempConfig.OrigIOPStargetLabels = tempConfig.OrigIOPStargetLabels + \"Available\";\n tempConfig.OrigIOPStargetValues = tempConfig.OrigIOPStargetValues + combined_IOPS;\n } \n tempConfig.IOPStargetLabels = tempConfig.IOPStargetLabels + \"Available\";\n tempConfig.IOPStargetValues = tempConfig.IOPStargetValues + combined_IOPS;\n\n// console.log(tempConfig.OrigIOPStargetLabels, tempConfig.OrigIOPStargetValues, tempConfig.IOPStargetLabels, tempConfig.IOPStargetValues );\n\n var target_ec2fsxn = tempConfig;\n // console.log(\"Submit: ec2fsxn=\" + target_ec2fsxn.summaryText);\n // config.ec2fsxn_shape = target_ec2fsxn.shape;\n config.targetconfig_ec2fsxn = target_ec2fsxn;\n config.targetconfig_ec2fsxn.closeness_string = ec2fsxnItemSelected.closeness_string;\n config.targetconfig_ec2fsxn.match_string = ec2fsxnItemSelected.match_string;\n \n \n }\n\n\n\n return config;\n }\n\n\nexport {pick_ec2fsxn_shape};\n\nexport {calculate_ec2fsxn_config};","\n\n/*\n\nSummary:\nThe function `pick_rds_shape` selects the most suitable RDS (Relational Database Service) shape based on given configuration parameters and region information. It compares various RDS shapes against the required specifications, considering factors like VCPU, memory, throughput, and IOPS. The function also handles different RDS types (e.g., standard, SE, custom, RAC) and optimizes for cost or performance based on configuration settings.\n\nDescription:\n1. The function initializes working variables with configuration values, adjusting them if necessary.\n2. It determines the sorting method for RDS shapes based on CPU optimization settings.\n3. The function then iterates through available RDS shapes, filtering out incompatible options based on RDS type and other criteria.\n4. For each compatible shape, it checks if it meets or exceeds the required specifications.\n5. If an exact match is found, it's selected. Otherwise, the function tracks the closest match.\n6. The function handles special cases like RAC configurations and bursting instances.\n7. Finally, it returns the selected RDS shape along with additional information about the match or closest alternative.\n\nParameters:\n1. regionInfo (object):\n - shapes (array): Contains information about available RDS shapes in the region. An array of different RDS instance shapes available in the region. Each shape is represented as an object with the following properties:\n - `Name`: The name of the RDS instance shape (e.g., \"db.r5.large\", \"db.m6i.large\").\n - `VCPU`: The number of virtual CPUs (VCPU) for the instance shape.\n - `Memory`: The amount of memory (in GB) for the instance shape.\n - `Throughput`: The maximum throughput (in MB/s) for the instance shape.\n - `BaselineThroughput`: The baseline throughput (in MB/s) for the instance shape (used when bursting is disabled).\n - `IOPS`: The maximum IOPS for the instance shape.\n - `BaselineIOPS`: The baseline IOPS for the instance shape (used when bursting is disabled).\n - `OracleOD`: The on-demand price for the Oracle database running on the instance shape.\n - `OracleLIse2_OD`: The on-demand price for the Oracle database running on the instance shape in the SE2 (Standard Edition 2) configuration.\n - `OracleCustomOD`: The on-demand price for the Oracle database running on the instance shape in the Custom configuration.\n - `Oracle1yrNURI`: The 1-year no-upfront reserved instance price for the Oracle database running on the instance shape.\n - `OracleLIse2_1yrNURI`: The 1-year no-upfront reserved instance price for the Oracle database running on the instance shape in the SE2 configuration.\n - `OracleCustom1yrNURI`: The 1-year no-upfront reserved instance price for the Oracle database running on the instance shape in the Custom configuration.\n - `OptimizeVCPUs`: Indicates whether the instance shape is eligible for CPU optimization.\n - `InstanceStorageGB`: The amount of instance storage (in GB) for the instance shape (used when the `nvme_shape_algo` is set to \"Y\").\n\n2. config (object):\n - IOPS (number): Required Input/Output Operations Per Second.\n - VCPU (number): Required Virtual CPU count.\n - Memory (number): Required memory in GB.\n - Throughput (number): Required throughput in MB/s.\n - DiskSpace (number): Required disk space.\n - AdjustedIOPS (number, optional): Adjusted IOPS value.\n - AdjustedMemory (number, optional): Adjusted memory value.\n - AdjustedThroughput (number, optional): Adjusted throughput value.\n - AdjustedVCPU (number, optional): Adjusted VCPU value.\n - UseOptCPU (string): CPU optimization setting ('Y', 'N', or 'N2').\n - rds_type (string): Type of RDS instance ('se', 'custom', 'rac', or standard).\n - UseRI (string): Reserved Instance usage setting.\n - divider (number): Number of RAC nodes (for RAC configurations).\n - tshape_algo (string): T-shape instance algorithm setting.\n - extMemShape_algo (string): Extended memory shape algorithm setting.\n - nvme_shape_algo (string): NVMe shape algorithm setting.\n - frozen_prefs (object): Contains additional preference settings.\n \nThis function returns an rdsItemSelected object. Based on the code, we can infer the following structure and properties of the rdsItemSelected object:\n\n1. Name: String\n - Represents the name of the RDS instance type (e.g., \"db.m5.large\")\n2. VCPU: Number\n - The number of vCPUs for the instance type\n3. Memory: Number\n - The amount of memory (in GB) for the instance type\n4. Throughput: Number\n - The maximum throughput capability (in MB/s) of the instance type\n5. IOPS: Number\n - The maximum IOPS (Input/Output Operations Per Second) capability of the instance type\n6. BaselineThroughput: Number\n - The baseline throughput (in MB/s) of the instance type (if applicable)\n7. BaselineIOPS: Number\n - The baseline IOPS of the instance type (if applicable)\n8. OracleOD: Number\n - The On-Demand pricing for Oracle database on this instance type\n9. Oracle1yrNURI: Number\n - The 1-year No Upfront Reserved Instance pricing for Oracle database on this instance type\n10. OracleLIse2_OD: Number\n - The On-Demand pricing for Oracle Standard Edition 2 (License Included) on this instance type\n11. OracleLIse2_1yrNURI: Number\n - The 1-year No Upfront Reserved Instance pricing for Oracle Standard Edition 2 (License Included) on this instance type\n12. OracleCustomOD: Number\n - The On-Demand pricing for Oracle Custom on this instance type (if applicable)\n13. OracleCustom1yrNURI: Number\n - The 1-year No Upfront Reserved Instance pricing for Oracle Custom on this instance type (if applicable)\n14. OptimizeVCPUs: String\n - A comma-separated list of available vCPU options for Optimize CPU feature (if applicable)\n15. InstanceStorage: String or Boolean\n - Indicates if the instance type has instance storage and possibly its characteristics\n16. InstanceStorageGB: Number\n - The size of instance storage in GB (if applicable)\n17. closeness_string: String\n - A string indicating how close this instance type matches the requested configuration\n18. match_string: String\n - A string providing details on how this instance type matches or differs from the requested configuration\n19. gap_memory: Number\n - The difference between requested memory and this instance type's memory\n20. gap_throughput: Number\n - The difference between requested throughput and this instance type's throughput capability\n21. gap_iops: Number\n - The difference between requested IOPS and this instance type's IOPS capability\n22. gap_vcpu: Number\n - The difference between requested vCPUs and this instance type's vCPU count\n\nThis object structure provides a comprehensive set of attributes that describe the capabilities, pricing, and suitability of a specific RDS instance type for the given requirements. The function uses these attributes to calculate costs, determine if the instance meets the performance requirements, and provide detailed information about the selected configuration.\n\n \n*/\n\nfunction pick_rds_shape(regionInfo, config) {\n\n// **************************\n// RDS Configuration\n// **************************\n\n// regionInfo.shapes = array of different RDS Shapes to consider\n// config = details about the target values and other properties of the database\n\n\n var working_IOPS = config.IOPS;\n var working_VCPU = config.VCPU;\n var working_Memory = config.Memory;\n var working_Throughput = config.Throughput;\n var working_DiskSpace = config.DiskSpace;\n\n // set working_IOPS equal to config.AdjustedIOPS if it exists else set it to config.IOPS\n if (config.AdjustedIOPS) {\n working_IOPS = config.AdjustedIOPS;\n }\n if (config.AdjustedMemory) {\n working_Memory = config.AdjustedMemory;\n // console.log(\"pick_rds_shape\", \"Using AdjustedMemory\", working_Memory);\n }\n if(config.AdjustedThroughput) {\n working_Throughput = config.AdjustedThroughput;\n }\n if (config.AdjustedVCPU) {\n working_VCPU = config.AdjustedVCPU;\n }\n\n\n\n //Now work on RDS\n // console.log(\"pick_rds_shape\", config.rds_type);\n \n //\n // optimizeCPU=Y and SE2 or Custom doesn't make sense \n if ( (config.UseOptCPU=='Y') && (config.rds_type=='se' || config.rds_type=='custom') ) {\n config.UseOptCPU='N2';\n }\n\n var rdsItems = regionInfo.shapes;\n\n //Step1 - match to rdsItems\n \n var rdsItemSelected = null;\n let closeness = -999;\n let closeness_string = \"\";\n let match_string = \"\";\n\n let gap_memory= 0;\n let gap_throughput= 0;\n let gap_iops= 0;\n let gap_vcpu= 0;\n let max_storage_throughput = 16000;\n let divider=1; //number of rac nodes\n \n \n if (config.rds_type==\"rac\") {\n divider = config.divider;\n max_storage_throughput = 4000*16;\n } \n \n function rdsCompareCost(a, b) {\n // what price fields to use\n var ODfield = \"OracleOD\";\n var RIfield = \"Oracle1yrNURI\";\n if ((config.rds_type==\"se\")) {\n ODfield = \"OracleLIse2_OD\";\n RIfield = \"OracleLIse2_1yrNURI\";\n }\n if ((config.rds_type==\"custom\")) {\n ODfield = \"OracleCustomOD\";\n RIfield = \"OracleCustom1yrNURI\";\n }\n \n\n \n //config.UseRI could be config.frozen_prefs.useRI_algo\n const itemA = ((config.UseRI=='RI') && (config.rds_type!=\"rac\") && (a[RIfield] * 1 > 0) ? a[RIfield]*1 : a[ODfield]*1) * 10000 + a.VCPU*1 ;\n const itemB = ((config.UseRI=='RI') && (config.rds_type!=\"rac\") && (b[RIfield] * 1 > 0) ? b[RIfield]*1 : b[ODfield]*1) * 10000 + b.VCPU*1;\n\n let comparison = 0;\n if (itemA > itemB) {\n comparison = 1;\n } else if (itemA < itemB) {\n comparison = -1;\n } else if (itemA == itemB) {\n // final sort is by Name in REVERSE order. This should make r6i.xlarge appear ahead of r5.xlarge\n if (a.Name.split(\".\")[0] > b.Name.split(\".\")[0]) {\n comparison = -1;\n } else if (a.Name.split(\".\")[0] < b.Name.split(\".\")[0]) {\n comparison = 1;\n }\n }\n return comparison;\n }\n\n function rdsCompareVCPU(a, b) {\n // what price fields to use\n var ODfield = \"OracleOD\";\n var RIfield = \"Oracle1yrNURI\";\n if ((config.rds_type==\"se\")) {\n ODfield = \"OracleLIse2_OD\";\n RIfield = \"OracleLIse2_1yrNURI\";\n }\n if ((config.rds_type==\"custom\")) {\n ODfield = \"OracleCustomOD\";\n RIfield = \"OracleCustom1yrNURI\";\n }\n \n const itemA = a.VCPU * 10000 + ((config.UseRI=='RI') && (config.rds_type!=\"rac\") && (a[RIfield] * 1 > 0) ? a[RIfield]*1 : a[ODfield]*1);\n const itemB = b.VCPU * 10000 + ((config.UseRI=='RI') && (config.rds_type!=\"rac\") && (b[RIfield] * 1 > 0) ? b[RIfield]*1 : b[ODfield]*1);\n \n // const itemA = a.VCPU * 10000 + ((config.UseRI=='RI') && (config.rds_type!=\"rac\") && (a.Oracle1yrNURI * 1 > 0) ? a.Oracle1yrNURI*1 : a.OracleOD*1);\n // const itemB = b.VCPU * 10000 + ((config.UseRI=='RI') && (config.rds_type!=\"rac\") && (b.Oracle1yrNURI * 1 > 0) ? b.Oracle1yrNURI*1 : b.OracleOD*1);\n\n let comparison = 0;\n if (itemA > itemB) {\n comparison = 1;\n } else if (itemA < itemB) {\n comparison = -1;\n } else if (itemA == itemB) {\n // final sort is by Name in REVERSE order. This should make r6i.xlarge appear ahead of r5.xlarge\n if (a.Name.split(\".\")[0] > b.Name.split(\".\")[0]) {\n comparison = -1;\n } else if (a.Name.split(\".\")[0] < b.Name.split(\".\")[0]) {\n comparison = 1;\n }\n }\n return comparison;\n }\n \n //if optcpu_algo is N, sort by cost, then VCPU. if optcpu_algo is N2, sort by VCPU, then cost\n if (config.UseOptCPU==\"N2\") {\n rdsItems.sort(rdsCompareVCPU);\n // console.log(\"sort by VCPU\");\n } else {\n rdsItems.sort(rdsCompareCost);\n // console.log(\"sort by Cost\");\n } \n\n \n for (var bii = 0; bii < rdsItems.length; bii++) {\n \n //only process if Oracle record\n //AND skip any tpc1 shapes -- I don't see their value\n //AND skip any tpc* shapes if optcpu_algo=Y\n if ( (rdsItems[bii].OracleOD *1 >0) && !(rdsItems[bii].Name.includes('tpc1')) && !( config.UseOptCPU=='Y' && rdsItems[bii].Name.includes('tpc') ) ) {\n \n var okForRAC=false;\n const io2RACmax = 16*16000/2; //for io2, we can provision 16 volumes at 16TB each but we use ASM normal redundancy. Anything bigger needs to use io2bx\n max_storage_throughput = 16000;\n if (config.rds_type==\"rac\") {\n \n //is this shape OK for RAC?\n if ( (rdsItems[bii].Name.substring(0,4)==\"m6i.\") && (working_DiskSpace*1 < io2RACmax) ) { okForRAC=true; max_storage_throughput = 1000*16; }\n if ( (rdsItems[bii].Name.substring(0,4)==\"r6i.\") && (working_DiskSpace*1 < io2RACmax) ) { okForRAC=true; max_storage_throughput = 1000*16; }\n if ( (rdsItems[bii].Name.substring(0,3)==\"r5.\") && (working_DiskSpace*1 < io2RACmax) ) { okForRAC=true; max_storage_throughput = 1000*16; }\n if (rdsItems[bii].Name.substring(0,4)==\"r5b.\") { okForRAC=true; max_storage_throughput = 4000*16; }\n if (rdsItems[bii].Name.substring(0,7)==\"x2iedn.\") { okForRAC=true; max_storage_throughput = 4000*16; }\n if (rdsItems[bii].Name.substring(0,7)==\"r6in.\") { okForRAC=true; max_storage_throughput = 4000*16; }\n \n //hide the tpc shapes for now\n if ( rdsItems[bii].Name.includes(\"tpc\") ) { okForRAC=false; }\n }\n \n \n //if se_algo=se, then skip over any non-SE2 option. Or if se_algo=custom, then skip over any non-Custom\n if ( ((config.rds_type == \"se\") && (rdsItems[bii].OracleLIse2_OD == null)) ||\n ((config.rds_type == \"custom\") && (rdsItems[bii].OracleCustomOD == null)) ||\n ((config.rds_type == \"rac\") && (!okForRAC) ) ) {\n //todo: update this with official RAC pricing field when added\n // console.log(\"not a SE2 or custom shape. skip\",rdsItems[bii].Name,config.rds_type,okForRAC);\n } else if (\n config.tshape_algo == \"N\" &&\n rdsItems[bii].Name.substring(0, 1) == \"t\"\n ) {\n // console.log(\"skipping T shape\");\n } else if (\n config.extMemShape_algo == \"N\" &&\n rdsItems[bii].Name.includes(\"tpc\")\n ) {\n // console.log(\"skipping RDS Extended Memory shape\");\n } else if (\n config.nvme_shape_algo == \"Y\" &&\n ( rdsItems[bii].InstanceStorageGB == undefined )\n ) {\n // console.log(\"skipping non-localNVME shape\");\n } else\n {\n\n match_string = `db.${rdsItems[bii].Name} with ${rdsItems[bii].VCPU} VCPU${rdsItems[bii].Name.startsWith('t') ? \" (bursting)\" :\"\"}${((typeof rdsItems[bii].OptimizeVCPUs != \"undefined\")&&(rdsItems[bii].OptimizeVCPUs != null)&&(rdsItems[bii].OptimizeVCPUs != \"None\")&& (rdsItems[bii].OptimizeVCPUs != \"2\")&&(config.UseOptCPU==\"Y\") && (config.rds_type!=\"se\") && (config.rds_type!=\"custom\") && (config.rds_type!=\"rac\") ) ? \" (OptimizeCPU eligible)\" : \"\"}, ${rdsItems[bii].Memory} GB, ${rdsItems[bii].Throughput} MB/s${rdsItems[bii].BaselineThroughput!=null ? \" (bursting)\" :\"\"}${(rdsItems[bii].Throughput*1>max_storage_throughput) ? \" but storage maxes out at \"+max_storage_throughput+\" MB/s\" : \"\"}, ${rdsItems[bii].IOPS} IOPS${rdsItems[bii].BaselineIOPS!=null ? \" (bursting)\" :\"\"}`;\n \n // if we are not using IO bursting, then use baseline figures\n if ( (config.frozen_prefs.bursting_algo??'Y') == 'N' && rdsItems[bii].BaselineThroughput!=null) {\n match_string = `db.${rdsItems[bii].Name} with ${rdsItems[bii].VCPU} VCPU${rdsItems[bii].Name.startsWith('t') ? \" (bursting)\" :\"\"}${((typeof rdsItems[bii].OptimizeVCPUs != \"undefined\")&&(rdsItems[bii].OptimizeVCPUs != null)&&(rdsItems[bii].OptimizeVCPUs != \"None\")&& (rdsItems[bii].OptimizeVCPUs != \"2\")&&(config.UseOptCPU==\"Y\") && (config.rds_type!=\"se\") && (config.rds_type!=\"custom\") && (config.rds_type!=\"rac\") ) ? \" (OptimizeCPU eligible)\" : \"\"}, ${rdsItems[bii].Memory} GB, ${rdsItems[bii].BaselineThroughput} MB/s (baseline), ${rdsItems[bii].BaselineIOPS} IOPS (baseline)`;\n }\n\n if (config.frozen_prefs.nvme_shape_algo == \"Y\") {\n match_string += `, ${rdsItems[bii].InstanceStorage}`;\n }\n \n //Notice the Math.min(max_storage_throughput) below. Will need to change this when we support io2BX\n if (\n rdsItems[bii].VCPU * 1 >= working_VCPU * 1 &&\n rdsItems[bii].Memory * 1 >= working_Memory * 1 &&\n Math.min(max_storage_throughput,( (config.frozen_prefs.bursting_algo??'Y') == 'N' && rdsItems[bii].BaselineThroughput!=null) ? (rdsItems[bii].BaselineThroughput *1) : (rdsItems[bii].Throughput * 1) ) >= working_Throughput * 1 &&\n ( ( (config.frozen_prefs.bursting_algo??'Y') == 'N' && rdsItems[bii].BaselineIOPS!=null ) ? (rdsItems[bii].BaselineIOPS *1) : (rdsItems[bii].IOPS * 1) ) >= working_IOPS * 1\n ) {\n\n //check if we should skip this because it does not support OptimizeCPU\n if ( (config.UseOptCPU!=\"Y\") || ((typeof rdsItems[bii].OptimizeVCPUs != \"undefined\")&&(rdsItems[bii].OptimizeVCPUs != null)&&(rdsItems[bii].OptimizeVCPUs != \"None\")) ) {\n rdsItemSelected = rdsItems[bii];\n // console.log(\"Submit: found rds match:\"+rdsItems[bii].Name)\n break;\n } else {\n //this shape does not use optimizeCPU. are we close?\n if ((rdsItems[bii].VCPU * 1 - working_VCPU * 1)<5) {\n //close enough\n rdsItemSelected = rdsItems[bii];\n // console.log(\"Submit: found rds match:\"+rdsItems[bii].Name+ \" reqVCPU=\"+working_VCPU + \"shapeVCPU=\"+rdsItems[bii].VCPU)\n break;\n }\n \n \n \n }\n } else {\n //the shape was not selected.\n //also notice the Math.min(max_storage_throughput). address this when io2BX arrives\n let new_closeness = Math.min((rdsItems[bii].VCPU * 1 - working_VCPU * 1) / rdsItems[bii].VCPU,0) +\n Math.min((rdsItems[bii].Memory * 1 - working_Memory * 1 ) / rdsItems[bii].Memory,0) +\n Math.min((Math.min(max_storage_throughput,rdsItems[bii].Throughput * 1) - working_Throughput * 1 ) / Math.min(max_storage_throughput,rdsItems[bii].Throughput * 1),0) +\n Math.min((rdsItems[bii].IOPS * 1 - working_IOPS * 1) / rdsItems[bii].IOPS,0);\n \n // if we are not using IO bursting, then use baseline figures\n if ( (config.frozen_prefs.bursting_algo??'Y') == 'N' && rdsItems[bii].BaselineThroughput!=null) {\n new_closeness = Math.min((rdsItems[bii].VCPU * 1 - working_VCPU * 1) / rdsItems[bii].VCPU,0) +\n Math.min((rdsItems[bii].Memory * 1 - working_Memory * 1 ) / rdsItems[bii].Memory,0) +\n Math.min((Math.min(max_storage_throughput,rdsItems[bii].BaselineThroughput * 1) - working_Throughput * 1 ) / Math.min(max_storage_throughput,rdsItems[bii].BaselineThroughput * 1),0) +\n Math.min((rdsItems[bii].BaselineIOPS * 1 - working_IOPS * 1) / rdsItems[bii].BaselineIOPS,0);\n } \n \n if (new_closeness > closeness) {\n gap_memory= Math.round( Math.max((working_Memory * 1 ) - rdsItems[bii].Memory * 1 ,0) ) ;\n gap_throughput= Math.round( Math.max((working_Throughput * 1 ) - Math.min(max_storage_throughput,rdsItems[bii].Throughput * 1) ,0) ) ;\n gap_iops= Math.round( Math.max((working_IOPS * 1 ) - rdsItems[bii].IOPS * 1 ,0) ) ;\n gap_vcpu= Math.max((working_VCPU * 1 ) - rdsItems[bii].VCPU * 1 ,0) ;\n // console.log(rdsItems[bii].Name, new_closeness);\n // console.log(\"Next closest match:\",rdsItems[bii].Name,\" \",rdsItems[bii].VCPU,\" \",rdsItems[bii].Memory,\" \",rdsItems[bii].Throughput,\" \",rdsItems[bii].IOPS);\n // closeness_string = `Next closest match: ${rdsItems[bii].Name} with ${rdsItems[bii].VCPU} VCPU${( ((typeof rdsItems[bii].OptimizeVCPUs != \"undefined\")&&(rdsItems[bii].OptimizeVCPUs != null)) && (rdsItems[bii].OptimizeVCPUs != \"2\") && (config.UseOptCPU==\"Y\") && (config.rds_type!=\"se\") && ((rdsItems[bii].VCPU * 1 - working_VCPU * 1)>0) ) ? \" (OptimizeCPU eligible)\" : \"\"}, ${rdsItems[bii].Memory} GB, ${rdsItems[bii].Throughput} MB/s, ${rdsItems[bii].IOPS} IOPS`;\n closeness_string = `Next closest match${ config.rds_type==\"rac\" ? \" for \"+divider+\" node cluster\" : \"\"}: db.${rdsItems[bii].Name} with ${rdsItems[bii].VCPU} VCPU${rdsItems[bii].Name.startsWith('t') ? \" (bursting)\" :\"\"}${(gap_vcpu>0) ? \" (short \"+gap_vcpu.toFixed(1)+\" VCPU)\" : \"\"}${( ((typeof rdsItems[bii].OptimizeVCPUs != \"undefined\")&&(rdsItems[bii].OptimizeVCPUs != null)&&(rdsItems[bii].OptimizeVCPUs != \"None\")) && (rdsItems[bii].OptimizeVCPUs != \"2\") && (config.UseOptCPU==\"Y\") && (config.rds_type!=\"se\") && (config.rds_type!=\"custom\") && (config.rds_type!=\"rac\") && ((rdsItems[bii].VCPU * 1 - working_VCPU * 1)>0) ) ? \" (OptimizeCPU eligible)\" : \"\"}, ${rdsItems[bii].Memory} GB${(gap_memory>0) ? \" (short \"+gap_memory+\" GB)\" : \"\"}, ${rdsItems[bii].Throughput} MB/s${rdsItems[bii].BaselineThroughput!=null ? \" (bursting)\" :\"\"}${(rdsItems[bii].Throughput*1>max_storage_throughput) ? \" but storage maxes out at \"+max_storage_throughput+\" MB/s\" : \"\"}${(gap_throughput>0) ? \" (short \"+gap_throughput+\" MB/s)\" : \"\"}, ${rdsItems[bii].IOPS} IOPS${rdsItems[bii].BaselineIOPS!=null ? \" (bursting)\" :\"\"}${(gap_iops>0) ? \" (short \"+gap_iops+\" IOPS)\" : \"\"}`;\n \n // if we are not using IO bursting, then use baseline figures\n if ( (config.frozen_prefs.bursting_algo??'Y') == 'N' && rdsItems[bii].BaselineThroughput!=null) {\n gap_throughput= Math.round( Math.max((working_Throughput * 1 ) - Math.min(max_storage_throughput,rdsItems[bii].BaselineThroughput * 1) ,0) ) ;\n gap_iops= Math.round( Math.max((working_IOPS * 1 ) - rdsItems[bii].BaselineIOPS * 1 ,0) ) ;\n closeness_string = `Next closest match${ config.rds_type==\"rac\" ? \" for \"+divider+\" node cluster\" : \"\"}: db.${rdsItems[bii].Name} with ${rdsItems[bii].VCPU} VCPU${rdsItems[bii].Name.startsWith('t') ? \" (bursting)\" :\"\"}${(gap_vcpu>0) ? \" (short \"+gap_vcpu.toFixed(1)+\" VCPU)\" : \"\"}${( ((typeof rdsItems[bii].OptimizeVCPUs != \"undefined\")&&(rdsItems[bii].OptimizeVCPUs != null)&&(rdsItems[bii].OptimizeVCPUs != \"None\")) && (rdsItems[bii].OptimizeVCPUs != \"2\") && (config.UseOptCPU==\"Y\") && (config.rds_type!=\"se\") && (config.rds_type!=\"custom\") && (config.rds_type!=\"rac\") && ((rdsItems[bii].VCPU * 1 - working_VCPU * 1)>0) ) ? \" (OptimizeCPU eligible)\" : \"\"}, ${rdsItems[bii].Memory} GB${(gap_memory>0) ? \" (short \"+gap_memory+\" GB)\" : \"\"}, ${rdsItems[bii].BaselineThroughput} MB/s (baseline)${(gap_throughput>0) ? \" (short \"+gap_throughput+\" MB/s)\" : \"\"}, ${rdsItems[bii].BaselineIOPS} IOPS (baseline)${(gap_iops>0) ? \" (short \"+gap_iops+\" IOPS)\" : \"\"}`;\n }\n \n closeness=new_closeness;\n }\n } //end if selected\n \n } //end if se_algo=se and not an SE shape\n } // end if (rdsItems[bii].OracleOD *1 >0)\n } //end loop\n \n\n // console.log(match_string);\n // console.log(\"RDS\", closeness_string);\n if (rdsItemSelected==null) {\n rdsItemSelected = { Name: null};\n }\n rdsItemSelected.closeness_string = closeness_string;\n rdsItemSelected.match_string = match_string;\n rdsItemSelected.gap_memory = gap_memory * divider;\n rdsItemSelected.gap_throughput = gap_throughput * divider;\n rdsItemSelected.gap_iops = gap_iops * divider;\n rdsItemSelected.gap_vcpu = gap_vcpu * divider;\n \n \n return rdsItemSelected;\n }\n\n\n\n\n\n\n\n\nfunction pick_rac_shape(regionInfo, config) {\n\n\n// regionInfo = array of different RDS Shapes to consider\n// config = details about the target values and other properties of the database\n\n\n var working_IOPS = config.IOPS;\n var working_VCPU = config.VCPU;\n var working_Memory = config.Memory;\n var working_Throughput = config.Throughput;\n var working_DiskSpace = config.DiskSpace;\n\n // set working_IOPS equal to config.AdjustedIOPS if it exists else set it to config.IOPS\n if (config.AdjustedIOPS) {\n working_IOPS = config.AdjustedIOPS;\n }\n if (config.AdjustedMemory) {\n working_Memory = config.AdjustedMemory;\n // console.log(\"pick_rds_shape\", \"Using AdjustedMemory\", working_Memory);\n }\n if(config.AdjustedThroughput) {\n working_Throughput = config.AdjustedThroughput;\n }\n if (config.AdjustedVCPU) {\n working_VCPU = config.AdjustedVCPU;\n }\n\n// optimizeCPU=Y doesn't make sense for rac\n if (config.UseOptCPU=='Y') {\n config.UseOptCPU='N2';\n }\n\n// create a disconnected copy of config\n let node_config = JSON.parse(JSON.stringify(config));\n \n let divider=2;\n let buffer=0;\n if (config.frozen_prefs.rac_buffer_algo==\"10\") buffer=0.1;\n if (config.frozen_prefs.rac_min_node_algo==\"3\") divider=3;\n\n let current_choice=2;\n // let next_choice=current_choice+1;\n let success=false;\n let individual_node={};\n \n let current_VCPU=9999;\n let current_Cost=9999;\n let winner=0;\n \n // make sure RDS Custom is offered in the region or elsewe can 't use it\n var rdsCustomAvail = false;\n // loop through regionInfo\n for (var bii = 0; bii < regionInfo.shapes.length; bii++) {\n if (regionInfo.shapes[bii].OracleCustomOD*1 > 0) {\n rdsCustomAvail = true;\n }\n } \n \n \n // while (!success && (next_choice!=\"done\") ) {\n while ( (current_choice<17) && rdsCustomAvail ) {\n \n divider = current_choice;\n \n // console.log(\"rac next divider buffer\", current_choice, next_choice, divider, buffer);\n node_config.Memory = working_Memory * (1+buffer) / divider;\n node_config.VCPU = working_VCPU * (1+buffer)/ divider;\n node_config.Throughput = working_Throughput * (1+buffer)/ divider;\n node_config.IOPS = working_IOPS * (1+buffer)/ divider;\n node_config.divider = divider;\n \n // console.log(\"pick_rac_shape specs\", config.database, node_config.Memory, node_config.VCPU, node_config.Throughput, node_config.IOPS, node_config.divider, node_config);\n \n //make sure we only look at \n individual_node = pick_rds_shape(regionInfo, node_config);\n \n if (individual_node.Name != null) {\n success=true;\n // console.log(\"pick_rac_shape success\",divider,individual_node.match_string,individual_node.VCPU*divider,current_VCPU,individual_node.OracleOD*divider, current_Cost);\n\n if (config.UseOptCPU==\"N2\") {\n // console.log(\"sort by VCPU\");\n // if ( ( individual_node.VCPU*divider < current_VCPU ) || ( ( individual_node.VCPU*divider <= current_VCPU ) && ( individual_node.OracleOD*divider < (current_Cost-0.2) ) ) ) {\n // new logic. if VCPU is less, then winner. If VCPU is equal, then if divider is the same, pick the lower cost. B\n var isBetter = false;\n if ( individual_node.VCPU*divider < current_VCPU ) isBetter = true;\n if ( ( individual_node.VCPU*divider == current_VCPU ) ) {\n // same VCPU. So, is one cheaper?\n // console.log(\"pick_rac_shape maybe-VCPU\", config.database, divider+\" nodes\",individual_node.match_string,\"VCPU now \"+individual_node.VCPU*divider+\" was \"+ current_VCPU,\"Cost now \"+individual_node.OracleOD*divider + \" was \" + current_Cost);\n if ( individual_node.OracleOD*divider < (current_Cost-0.2) ) isBetter=true;\n \n }\n if (isBetter) {\n // console.log(\"this is better\");\n console.log(\"pick_rac_shape success-VCPU\", config.database, divider+\" nodes\",individual_node.match_string,\"VCPU now \"+individual_node.VCPU*divider+\" was \"+ current_VCPU,\"Cost now \"+individual_node.OracleOD*divider + \" was \" + current_Cost);\n winner=divider;\n current_VCPU = individual_node.VCPU*divider;\n current_Cost = individual_node.OracleOD*divider;\n }\n \n } else {\n \n // console.log(\"sort by Cost\");\n // use round because there can be small variations at the cent level in r5b. 0.551 versus 0.55129. If we multiple by 8 nodes that is 4.4103333 versus 4.408. If we multiply by 2 that is 1.102 versus 1.10258. We will multiply by 10 and then round\n if ( ( Math.round(individual_node.OracleOD*divider*10) < Math.round(current_Cost*10) ) || ( ( Math.round(individual_node.OracleOD*divider*10) <= Math.round(current_Cost*10) ) && ( individual_node.VCPU*divider < current_VCPU ) ) ) {\n // console.log(\"this is better\");\n console.log(\"pick_rac_shape success-Cost\", config.database, divider+\" nodes\",individual_node.match_string,\"Cost now \"+individual_node.OracleOD*divider + \" was \" + current_Cost, \"VCPU now \"+individual_node.VCPU*divider+\" was \"+ current_VCPU);\n winner=divider;\n current_VCPU = individual_node.VCPU*divider;\n current_Cost = individual_node.OracleOD*divider;\n }\n\n } \n\n \n if ( ( individual_node.VCPU*divider <= current_VCPU ) && ( individual_node.OracleOD*divider < (current_Cost-1) ) ) {\n // console.log(\"this is better\");\n winner=divider;\n current_VCPU = individual_node.VCPU*divider;\n current_Cost = individual_node.OracleOD*divider;\n }\n \n \n } else {\n \n }\n \n current_choice++;\n \n // console.log(\"pick_rac_shape\",node_config,individual_node);\n }\n \n //if success, re-fetch individual node (I could perhaps save this)\n if (success) {\n divider = winner;\n node_config.divider = divider;\n node_config.Memory = working_Memory * (1+buffer) / divider;\n node_config.VCPU = working_VCPU * (1+buffer)/ divider;\n node_config.Throughput = working_Throughput * (1+buffer)/ divider;\n node_config.IOPS = working_IOPS * (1+buffer)/ divider;\n \n \n individual_node = pick_rds_shape(regionInfo, node_config);\n \n }\n \n config.rac_nodes=divider;\n \n return individual_node;\n\n\n}\n\n\n\n\n\n/*\nSummary:\nThis function calculates and configures RDS (Relational Database Service) settings based on input parameters. It handles various database types, storage options, and pricing models. The function performs extensive calculations and validations to determine the optimal configuration and provides detailed cost estimates and performance metrics.\n\nDescription:\n\n1. Input Processing:\n - Processes input parameters for region info, selected RDS item, and configuration details.\n - Sets working variables for IOPS, VCPU, Memory, Throughput, and DiskSpace.\n\n2. Configuration Setup:\n - Initializes a configuration object with default values for various RDS settings.\n - Sets up RDS type description based on the input configuration.\n\n3. Volume Type Selection:\n - Determines the appropriate volume type (gp2, gp3, io1, io2) based on performance requirements and regional availability.\n - Applies logic to switch between volume types if necessary to meet IOPS or throughput targets.\n\n4. Performance Calculations:\n - Calculates IOPS, throughput, and storage requirements for the selected volume type.\n - Applies burst and baseline performance calculations where applicable.\n\n5. Cost Estimation:\n - Calculates costs for compute resources, storage, and IOPS based on the selected instance type and storage configuration.\n - Handles different pricing models (On-Demand, Reserved Instances) and multi-AZ deployments.\n\n6. Warning Generation:\n - Generates warnings for various scenarios such as exceeding IOPS limits, throughput limitations, or volume size constraints.\n\n7. Summary Generation:\n - Creates detailed summaries of the selected configuration, including instance type, storage details, and estimated monthly costs.\n\n8. Additional Calculations:\n - Performs calculations for \"surplus\" resources (e.g., additional VCPUs, memory).\n - Generates data for performance graphs (IOPS and throughput targets).\n\n9. Final Configuration:\n - Assembles all calculated data into a final configuration object.\n - Includes suggestions for PostgreSQL conversion and Standard Edition 2 considerations.\n\nParameters:\n\n1. regionInfo: Object containing information about the AWS region, including pricing and availability of various instance types and storage options.\n\n2. rdsItemSelected: Object representing the selected RDS instance type, including details like VCPU, memory, and performance characteristics.\n\n3. config: Object containing the initial configuration settings, including target IOPS, VCPU, memory, throughput, and disk space requirements. Also includes flags for various options like RDS type, volume type, and pricing model preferences.\n*/\n\n\n\nfunction calculate_rds_config(regionInfo, rdsItemSelected, config) {\n\n// **************************\n// RDS Configuration\n// **************************\n\n// rdsItemSelected = a document contain specific rdsItem (shape) and its details, closeness_string, and match_string\n// config = details about the target values and other properties of the database\n\n\n var working_IOPS = config.IOPS;\n var working_VCPU = config.VCPU;\n var working_Memory = config.Memory;\n var working_Throughput = config.Throughput;\n var working_DiskSpace = config.DiskSpace;\n\n // set working_IOPS equal to config.AdjustedIOPS if it exists else set it to config.IOPS\n if (config.AdjustedIOPS) {\n working_IOPS = config.AdjustedIOPS;\n }\n if (config.AdjustedMemory) {\n working_Memory = config.AdjustedMemory;\n // console.log(\"pick_rds_shape\", \"Using AdjustedMemory\", working_Memory);\n }\n if(config.AdjustedThroughput) {\n working_Throughput = config.AdjustedThroughput;\n }\n if (config.AdjustedVCPU) {\n working_VCPU = config.AdjustedVCPU;\n }\n\n let rds_type_desc=\"RDS-Oracle (BYOL)\";\n if (config.rds_type==\"rac\") rds_type_desc=\"RDS Custom for Oracle RAC\";\n if (config.rds_type==\"custom\") rds_type_desc=\"RDS Custom for Oracle\";\n if (config.rds_type==\"se\") rds_type_desc=\"RDS-Oracle SE2 (LI)\";\n\n config.targetconfig_rds = {\n summaryText: \"DBCSI's current logic is not able to auto-size this configuration for \"+rds_type_desc+\". Please reach out to your AWS Database Specialist for help.\",\n rds_type_desc: rds_type_desc,\n monthly_estimate: \"null\", \n shape: \"null\",\n shape_OD: \"null\",\n shape_RI: \"null\",\n shape_RI_SE2: \"null\",\n shape_max_vcpu: \"null\",\n shape_optimize_vcpu: \"null\",\n requested_vcpu: \"null\",\n shape_memory: \"null\",\n requested_memory: \"null\",\n shape_throughput: \"null\",\n requested_throughput: \"null\",\n requested_IOPS: \"null\",\n shape_summaryText: \"\",\n ebs_data_type: \"null\",\n ebs_data_size: \"null\",\n ebs_data_iops: \"\",\n ebs_data_summaryText1: \"\",\n ebs_data_summaryText2: \"\",\n ebs_data_cost: \"\",\n ebs_baseline_IOPS: \"\",\n ebs_burst_IOPS: \"\",\n ebs_burst_Throughput: \"\",\n ebs_baseline_Throughput: \"\",\n backup_style: \"null\",\n ebs_backup_type: \"null\",\n ebs_backup_size: \"null\",\n ebs_backup_iops: \"\",\n ebs_backup_snap_size: \"\",\n ebs_backup_summaryText1: \"\",\n ebs_backup_summaryText2: \"\",\n license_summaryText: \"\",\n comments: \"\",\n warnings: \"\",\n iops_warnings_alert: \"\",\n iops_warnings_burst: \"\",\n iops_warnings_info: \"\",\n UseMAZ: \"No\",\n closeness_string: rdsItemSelected.closeness_string,\n gap_memory: rdsItemSelected.gap_memory ,\n gap_throughput: rdsItemSelected.gap_throughput ,\n gap_iops: rdsItemSelected.gap_iops ,\n gap_vcpu: rdsItemSelected.gap_vcpu ,\n match_string: \"\",\n cpu_warnings_alert: \"\",\n cpu_warnings_burst: \"\",\n cpu_warnings_info: \"\",\n memory_warnings_alert: \"\",\n diskspace_warnings: \"\",\n iomb_warnings_info: \"\",\n iomb_warnings_burst: \"\",\n iomb_warnings_alert: \"\",\n ebsvol_warnings: \"\",\n rds_type: \"ee\"\n }; \n\n config.Comments='';\n // Pick the VolumeType choice\n \n \n\n //if not rac, don't let them use io2\n // if ( (config.rds_type!=\"rac\") && ( (config.VolumeType==\"io2\") ||(config.VolumeType==\"io2bx\") ) ) {\n // config.VolumeType=\"\";\n // }\n \n //if custom, don't let them use gp3\n // if ( (config.rds_type==\"custom\") && ( (config.VolumeType==\"gp3\") ) ) {\n // config.VolumeType=\"gp2\";\n // }\n // console.log(\"io2-aa\", config.VolumeType, working_Throughput, regionInfo.rds_io2_gb*1);\n if ( (config.VolumeType=='io2') && !(regionInfo.rds_io2_gb*1>0) ) {\n config.VolumeType=''; //don't use io2 if not available in region\n config.targetconfig_rds.iomb_warnings_alert = config.targetconfig_rds.iomb_warnings_alert + \"[io2 requested, but io2 does not appear available in the \" + regionInfo.region+ \" region] \";\n\n }\n \n // console.log(\"VolumeType, ebs_algo\", config.VolumeType, config.frozen_prefs.ebs_algo, working_IOPS, working_IOPS);\n \n if ( (config.VolumeType==undefined) || (config.VolumeType=='') ) {\n if (config.frozen_prefs.ebs_algo=='gp2') config.VolumeType='gp2';\n if (config.frozen_prefs.ebs_algo=='gp3') config.VolumeType='gp3';\n if (config.frozen_prefs.ebs_algo=='io1') config.VolumeType='io1';\n if (config.frozen_prefs.ebs_algo=='io2') config.VolumeType='io2';\n\n \n if (config.frozen_prefs.ebs_algo=='p-gp') {\n //Prefer gp2 or gp3\n config.VolumeType='gp3'; //default gp3 for now\n\n //if custom, don't let them use gp3\n // if ( (config.rds_type==\"custom\") && ( (config.VolumeType==\"gp3\") ) ) {\n // config.VolumeType=\"gp2\";\n // }\n \n //some of the logic below is probably redundant\n //sweet spot for gp2: diskspace is > 334*4 (get full 250MB/s per gp2)\n // and throughput < 1000 (where gp3 works)\n // and iops < diskspace*3 (where gp2 works)\n // and diskspace*3 > 12000 (where gp2 gives you more iops than gp3)\n if ( (working_DiskSpace*1>=334*4) && (working_DiskSpace*3 > 12000) && (working_IOPS*1 < working_DiskSpace*3) && (working_Throughput*1<=1000) ) {\n config.VolumeType='gp2';\n }\n \n \n // if iops is > 64000, then io1\n if ( (config.rds_type!=\"rac\") && (working_IOPS*1>64000) ) {\n if (regionInfo.rds_io2_gb*1>0) {\n config.VolumeType='io2';\n config.targetconfig_rds.ebsvol_warnings = config.targetconfig_rds.ebsvol_warnings + \"[switching to io2 to meet target IOPS > 64000] \";\n } else {\n config.VolumeType='io1';\n config.targetconfig_rds.ebsvol_warnings = config.targetconfig_rds.ebsvol_warnings + \"[switching to io1 to meet target IOPS > 64000] \";\n }\n }\n \n // if throughout is >4000, then io2\n // console.log(\"io2-a\", working_Throughput);\n if ( (config.rds_type!=\"rac\") && (working_Throughput*1>4000 ) ) {\n if (regionInfo.rds_io2_gb*1>0) {\n config.VolumeType='io2';\n config.targetconfig_rds.ebsvol_warnings = config.targetconfig_rds.ebsvol_warnings + \"[switching to io2 to meet target Throughput > 4000 MB/s] \";\n } else {\n // console.log(\"io2-b\", working_Throughput, regionInfo.rds_io2_gb*1);\n config.TargetPlatform = 'EC2';\n config.targetconfig_rds.iomb_warnings_alert = config.targetconfig_rds.iomb_warnings_alert + \"[target Throughput is > 4000 MB/s, but io2 does not appear available in the \" + regionInfo.region+ \" region] \";\n \n // console.log(\"io2-bb\", working_Throughput, regionInfo.rds_io2_gb*1, config.targetconfig_rds.iomb_warnings_alert);\n }\n }\n \n // if throughput is >1000, then gp3\n if (working_Throughput*1>1000 && config.VolumeType=='gp2') {\n config.VolumeType='gp3';\n //config.targetconfig_rds.ebsvol_warnings = config.targetconfig_rds.ebsvol_warnings + \"[switching to io1 to meet target Throughput > 1000 MB/s] \";\n }\n \n // if we are at gp2 but IOPS and Throughput are < 12000,500, then use gp3 \n if (config.VolumeType=='gp2') {\n if ( (working_DiskSpace*1<200) && (working_IOPS*1 < 3000) && (working_Throughput*1 < 125) ) {\n config.VolumeType='gp3';\n }\n if ( (working_DiskSpace*1>=200) && (working_IOPS*1 < 12000) && (working_Throughput*1 < 500) ) {\n config.VolumeType='gp3';\n }\n } \n if (config.VolumeType=='gp2') {\n if (working_DiskSpace*1<200) {\n //assume 1 volume for now...\n \n let burst_IOPS = 3000;\n \n if ((working_IOPS*1 > burst_IOPS) ) {\n \n //can we grow the EBS volumes to split to 4 volumes and meet the target\n //4 volumes has 3000*4 burst.\n let new_DiskSpace = 200;\n burst_IOPS = 12000;\n if ((working_IOPS*1 <= burst_IOPS) ) {\n // config.targetconfig_rds.diskspace_warnings = config.targetconfig_rds.diskspace_warnings + \"[increasing gp2 disk space from \"+working_DiskSpace+\" to \"+new_DiskSpace.toFixed(0)+\" to get more IOPS] \";\n // working_DiskSpace= new_DiskSpace.toFixed(0);\n config.VolumeType='gp3';\n // config.targetconfig_rds.ebsvol_warnings = config.targetconfig_rds.ebsvol_warnings + \"[switching to gp3 to meet target IOPS] \";\n } else { \n config.VolumeType='gp3';\n // config.targetconfig_rds.ebsvol_warnings = config.targetconfig_rds.ebsvol_warnings + \"[switching to gp3 to meet target IOPS] \";\n } \n }\n } else {\n \n \n //assume 4 volumes for now...\n let baseline_IOPS = Math.min(working_DiskSpace/4 * 3, 16000)*4;\n let burst_IOPS = Math.max(3000*4,baseline_IOPS);\n \n if ((working_IOPS*1 > burst_IOPS) && (config.VolumeType=='gp2')) {\n \n //can we grow the EBS volumes to meet the target? We will allow doubling of gp2 size to try to match\n //\n let new_DiskSpace = working_IOPS/3;\n // 5333*4 is the diskspace max for gp2 IOPS\n if ((new_DiskSpace < 5333*4) ) {\n // config.targetconfig_rds.diskspace_warnings = config.targetconfig_rds.diskspace_warnings + \"[increasing gp2 disk space from \"+working_DiskSpace+\" to \"+new_DiskSpace.toFixed(0)+\" to get more IOPS] \";\n // working_DiskSpace= new_DiskSpace.toFixed(0);\n config.VolumeType='gp3';\n // config.targetconfig_rds.ebsvol_warnings = config.targetconfig_rds.ebsvol_warnings + \"[switching to gp3 to meet target IOPS] \";\n } else {\n config.VolumeType='gp3';\n // config.targetconfig_rds.ebsvol_warnings = config.targetconfig_rds.ebsvol_warnings + \"[switching to gp3 to meet target IOPS] \";\n } \n }\n } \n }\n \n }\n } \n \n \n\n\n \n // some volume types dont work with Custom and RAC\n // if (config.rds_type=='custom') {\n // if (config.VolumeType=='gp3') config.VolumeType='gp2';\n // }\n if (config.rds_type=='rac') {\n config.VolumeType='io2';\n // if (rdsItemSelected.Name!=undefined) {\n // if (rdsItemSelected.Name.substring(0,4)==\"r5b.\") { config.VolumeType='io2bx'; }\n // if (rdsItemSelected.Name.substring(0,7)==\"x2iedn.\") { config.VolumeType='io2bx'; }\n // } \n\n }\n \n // set some minimums\n \n if (config.VolumeType=='gp2') {\n if (working_DiskSpace*1 < 20) {\n working_DiskSpace='20';\n config.targetconfig_rds.ebsvol_warnings =\n config.targetconfig_rds.ebsvol_warnings + \"[using gp2 minimum disk space of 20GB for pricing.] \";\n }\n } else if (config.VolumeType=='gp3') {\n if (working_DiskSpace*1 < 20) {\n working_DiskSpace='20';\n config.targetconfig_rds.ebsvol_warnings =\n config.targetconfig_rds.ebsvol_warnings + \"[using gp3 minimum disk space of 20GB for pricing.] \";\n\n }\n } else if (config.VolumeType=='io1') {\n if (working_DiskSpace*1 < 100) {\n working_DiskSpace='100';\n config.targetconfig_rds.ebsvol_warnings =\n config.targetconfig_rds.ebsvol_warnings + \"[using io1 minimum disk space of 100GB for pricing.] \";\n\n }\n } else if (config.VolumeType=='io2') {\n if (working_DiskSpace*1 < 100) {\n working_DiskSpace='100';\n config.targetconfig_rds.ebsvol_warnings =\n config.targetconfig_rds.ebsvol_warnings + \"[using io2 minimum disk space of 100GB for pricing.] \";\n\n }\n }\n\n\n \n if (config.VolumeType=='io1') {\n \n if (working_DiskSpace*0.5 > working_IOPS*1) {\n // assuming we will fit in RDS, then make IOPS be a minimum of 0.5*diskspace\n if (working_DiskSpace*1 < 64000 && working_Throughput*1<=4000) {\n config.targetconfig_rds.ebsvol_warnings = config.targetconfig_rds.ebsvol_warnings + \"[RDS has a minimum io1 IOPS value of 0.5*the disk space in GB. Increasing io1 iops from \"+working_IOPS+\" to be at least 1/2 disk space in GB (\"+working_DiskSpace+\" GB)] \";\n working_IOPS=(working_DiskSpace*0.5+1).toFixed(0);\n } \n }\n }\n\n // gp3: we can only provision IOPS >3000 or Throughput>125 if the storage size is >200GB\n if ( (config.VolumeType=='gp3') && ( (working_IOPS*1>3000) || (working_Throughput*1 > 125) ) && (working_DiskSpace*1 < 200) ) {\n config.targetconfig_rds.ebsvol_warnings =\n config.targetconfig_rds.ebsvol_warnings + \"[increased gp3 disk space from \"+working_DiskSpace+\"GB to 200GB in order to provision extra IOPS or Throughput.] \";\n working_DiskSpace = 200; \n \n \n }\n \n// some checks for EC2\n \n // use EC2 if disk size is >64TB\n if ((working_DiskSpace*1 > 64000)&&(config.rds_type!='rac')) {\n config.TargetPlatform = 'EC2';\n config.Comments = config.Comments + \"[setting target to EC2 when disk space is > 64TB] \";\n // don't repeat comment\n // if (config.Comments.indexOf(\"setting target to EC2 when disk space is\")==-1) {\n // config.Comments += \"[setting target to EC2 when disk space is > 64TB] \";\n // } \n if ((config.targetconfig_rds.diskspace_warnings==undefined) || (config.targetconfig_rds.diskspace_warnings.indexOf(\"setting target to EC2 when disk space is\")==-1)) {\n config.targetconfig_rds.diskspace_warnings = config.targetconfig_rds.diskspace_warnings + \"[setting target to EC2 when disk space is > 64TB] \";\n } \n } else if ( (working_Throughput*1>16000) &&(config.rds_type!='rac') ) {\n // use EC2 if IO Throughput is >4000\n config.TargetPlatform = 'EC2';\n config.Comments = config.Comments + \"[setting target to EC2 when Throughput is > 16000 MB/s] \";\n // don't repeat comment\n // if (config.Comments.indexOf(\"setting target to EC2 when Throughput is\")==-1) {\n // config.Comments += \"[setting target to EC2 when Throughput is > 4000 MB/s] \";\n // }\n if ((config.targetconfig_rds.iomb_warnings_alert==undefined) || (config.targetconfig_rds.iomb_warnings_alert.indexOf(\"setting target to EC2 when Throughput is\")==-1)) {\n config.targetconfig_rds.iomb_warnings_alert = config.targetconfig_rds.iomb_warnings_alert + \"[setting target to EC2 when Throughput is > 16000 MB/s] \";\n }\n }\n\n // if throughout is >4000, but we don't offer io2\n\n if ( (config.rds_type!=\"rac\") && (working_Throughput*1>4000 ) && (working_Throughput*1<=16000 ) &&!(regionInfo.rds_io2_gb*1>0) ) {\n config.TargetPlatform = 'EC2';\n config.targetconfig_rds.iomb_warnings_alert = config.targetconfig_rds.iomb_warnings_alert + \"[target Throughput is > 4000 MB/s, but io2 does not appear available in the \" + regionInfo.region+ \" region] \";\n\n }\n\n \n //TODO hard code backup for now\n config.BackupType = 'none';\n config.Backup = '0';\n config.SnapshotDays = '1';\n\n\n if ((rdsItemSelected.Name == null)||(config.TargetPlatform == 'EC2')) {\n // console.log(\"Submit: No matching RDS found for \"+ config.database);\n \n \n // Step 2a- This is not a fit for RDS, so respond accordingly\n \n \n \n config.rds_shape = \"N/A\";\n config.extraInfo = \"\";\n config.extraInfo2 = \"\";\n config.considerSE2 = \"\";\n // config.current_hw_cpu = \"\";\n config.addlMaxVCPU = \"\";\n config.addlOptimVCPU = \"\";\n // config.current_hw_memory = \"\";\n config.addlMemory = \"\";\n config.addlThroughput = \"\";\n config.addlBaselineThroughput = \"\";\n config.addlBaselineIOPS = \"\";\n config.addlBurstIOPS = \"\";\n config.addlVolumes = \"\";\n config.RDSbenefits = \"\";\n \n config.targetconfig_rds.warnings = \"No matching shape found\";\n\n\n\n } else\n {\n\n\n // Step 2b - This is a fit for RDS. So, describe it\n \n \n // this is the old targetconfig_rds code...\n var tempConfig = config.targetconfig_rds;\n \n \n if (config.rds_type != \"rac\") config.rac_nodes=1;\n\n tempConfig.shape = rdsItemSelected.Name;\n tempConfig.shape_OD = rdsItemSelected.OracleOD;\n tempConfig.shape_RI = rdsItemSelected.Oracle1yrNURI;\n tempConfig.shape_RI_SE2 = rdsItemSelected.OracleLIse2_1yrNURI;\n tempConfig.shape_max_vcpu = rdsItemSelected.VCPU;\n tempConfig.shape_optimize_vcpu = rdsItemSelected.VCPU;\n tempConfig.requested_vcpu = working_VCPU;\n tempConfig.requested_memory = working_Memory;\n tempConfig.shape_memory = rdsItemSelected.Memory;\n tempConfig.requested_throughput = working_Throughput;\n tempConfig.requested_IOPS = working_IOPS; \n tempConfig.shape_throughput = rdsItemSelected.Throughput;\n tempConfig.shape_baselinethroughput = rdsItemSelected.BaselineThroughput;\n tempConfig.shape_baselineIOPS= rdsItemSelected.BaselineIOPS; \n tempConfig.shape_IOPS= rdsItemSelected.IOPS; \n tempConfig.ebs_data_type = config.VolumeType;\n tempConfig.ebs_data_size = working_DiskSpace;\n tempConfig.rds_type = config.rds_type;\n tempConfig.rac_nodes = config.rac_nodes;\n \n\n \n tempConfig.UseMAZ = config.UseMAZ;\n\n if (typeof tempConfig.comments === \"undefined\") {\n tempConfig.comments = \"\";\n }\n \n if (rdsItemSelected.InstanceStorageGB != undefined) {\n tempConfig.InstanceStorageGB = rdsItemSelected.InstanceStorageGB;\n } \n tempConfig.InstanceStorage = rdsItemSelected.InstanceStorage;\n \n\n if ( (1 * tempConfig.requested_vcpu > 1 * tempConfig.shape_max_vcpu) && (tempConfig.rds_type!=\"rac\") ){\n tempConfig.cpu_warnings_alert =\n tempConfig.cpu_warnings_alert +\n \"[The shape \" +\n tempConfig.shape +\n \" ( \" + tempConfig.shape_max_vcpu + \" VCPUs )\" +\n \" does not have \" +\n tempConfig.requested_vcpu +\n \" VCPUs.] \";\n }\n if ( (1 * tempConfig.requested_vcpu > 1 * tempConfig.shape_max_vcpu * tempConfig.rac_nodes) && (tempConfig.rds_type==\"rac\") )\n {\n tempConfig.cpu_warnings_alert =\n tempConfig.cpu_warnings_alert +\n \"[The cluster of \" +\n tempConfig.rac_nodes +\n \" nodes of \" +\n tempConfig.shape +\n \" ( \" + tempConfig.shape_max_vcpu + \" VCPUs per node )\" +\n \" does not have \" +\n tempConfig.requested_vcpu +\n \" VCPUs.] \";\n } \n if (tempConfig.shape.startsWith('t') ) {\n tempConfig.cpu_warnings_burst =\n tempConfig.cpu_warnings_burst +\n \"[The shape \" +\n tempConfig.shape +\n \" uses burstable CPUs. Be sure this meets your requirements and be aware that these shapes are configured in Unlimited mode (which can cause extra costs).] \";\n }\n\n \n if ( (1 * tempConfig.requested_memory > 1 * tempConfig.shape_memory) && (tempConfig.rds_type!=\"rac\") ) {\n tempConfig.memory_warnings_alert =\n tempConfig.memory_warnings_alert +\n \"[The shape \" +\n tempConfig.shape +\n \" ( \" + tempConfig.shape_memory + \" GB )\" +\n \" does not have \" +\n tempConfig.requested_memory +\n \" GB of memory.] \";\n }\n if ( (1 * tempConfig.requested_memory > 1 * tempConfig.shape_memory * tempConfig.rac_nodes) && (tempConfig.rds_type==\"rac\") )\n {\n tempConfig.memory_warnings_alert =\n tempConfig.memory_warnings_alert +\n \"[The cluster of \" +\n tempConfig.rac_nodes +\n \" nodes of \" +\n tempConfig.shape +\n \" ( \" + tempConfig.shape_memory + \" GB per node )\" +\n \" does not have \" +\n tempConfig.requested_memory +\n \" GB of memory.] \";\n } \n if ( (\n 1 * tempConfig.requested_throughput >\n 1 * tempConfig.shape_throughput\n ) && (tempConfig.rds_type!=\"rac\") ) {\n tempConfig.iomb_warnings_alert =\n tempConfig.iomb_warnings_alert +\n \"[The shape \" +\n tempConfig.shape +\n \" ( \" + tempConfig.shape_throughput + \" MB/s )\" +\n \" does not support \" +\n tempConfig.requested_throughput +\n \" MB/s of IO throughput.] \";\n } else if ( (1 * tempConfig.shape_baselinethroughput > 0 && (\n 1 * tempConfig.requested_throughput >\n 1 * tempConfig.shape_baselinethroughput)\n ) && (tempConfig.rds_type!=\"rac\") )\n {\n tempConfig.iomb_warnings_burst =\n tempConfig.iomb_warnings_burst +\n \"[The shape \" +\n tempConfig.shape +\n \" can burst for short periods to the requested \" +\n tempConfig.requested_throughput +\n \" MB/s of IO throughput, but has a baseline throughput of \" + tempConfig.shape_baselinethroughput + \" MB/s.] \";\n } \n\n\n if ( (\n 1 * tempConfig.requested_throughput >\n 1 * tempConfig.shape_throughput * tempConfig.rac_nodes\n ) && (tempConfig.rds_type==\"rac\") ) {\n tempConfig.iomb_warnings_alert =\n tempConfig.iomb_warnings_alert +\n \"[The cluster of \" +\n tempConfig.rac_nodes +\n \" nodes of \" +\n tempConfig.shape +\n \" ( \" + tempConfig.shape_throughput + \" MB/s per node )\" +\n \" does not support \" +\n tempConfig.requested_throughput +\n \" MB/s of IO throughput.] \";\n } else if ( (1 * tempConfig.shape_baselinethroughput * tempConfig.rac_nodes > 0 && (\n 1 * tempConfig.requested_throughput >\n 1 * tempConfig.shape_baselinethroughput * tempConfig.rac_nodes)\n ) && (tempConfig.rds_type==\"rac\") )\n {\n tempConfig.iomb_warnings_burst =\n tempConfig.iomb_warnings_burst +\n \"[The cluster of \" +\n tempConfig.rac_nodes +\n \" nodes of \" +\n tempConfig.shape +\n \" can burst for short periods to the requested \" +\n tempConfig.requested_throughput +\n \" MB/s of IO throughput, but has a baseline throughput of \" + tempConfig.shape_baselinethroughput*tempConfig.rac_nodes + \" MB/s.] \";\n }\n \n \n if ( (\n 1 * tempConfig.requested_IOPS >\n 1 * tempConfig.shape_IOPS\n ) && (tempConfig.rds_type!=\"rac\") ) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert +\n \"[The shape \" +\n tempConfig.shape +\n \" ( \" + tempConfig.shape_IOPS + \" IOPS )\" +\n \" does not support \" +\n tempConfig.requested_IOPS +\n \" IOPS.] \";\n } else if ( (1 * tempConfig.shape_baselineIOPS > 0 && (\n 1 * tempConfig.requested_IOPS >\n 1 * tempConfig.shape_baselineIOPS)\n ) && (tempConfig.rds_type!=\"rac\") )\n {\n tempConfig.IOPS_warnings_burst =\n tempConfig.IOPS_warnings_burst +\n \"[The shape \" +\n tempConfig.shape +\n \" can burst for short periods to the requested \" +\n tempConfig.requested_IOPS +\n \" IOPS, but has a baseline IOPS of \" + tempConfig.shape_baselineIOPS + \".] \";\n } \n\n if ( (\n 1 * tempConfig.requested_IOPS >\n 1 * tempConfig.shape_IOPS * tempConfig.rac_nodes\n ) && (tempConfig.rds_type==\"rac\") ) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert +\n \"[The cluster of \" +\n tempConfig.rac_nodes +\n \" nodes of \" +\n tempConfig.shape +\n \" ( \" + tempConfig.shape_IOPS + \" IOPS per node )\" +\n \" does not support \" +\n tempConfig.requested_IOPS +\n \" IOPS.] \";\n } else if ( (1 * tempConfig.shape_baselineIOPS * tempConfig.rac_nodes > 0 && (\n 1 * tempConfig.requested_IOPS >\n 1 * tempConfig.shape_baselineIOPS * tempConfig.rac_nodes)\n ) && (tempConfig.rds_type==\"rac\") )\n {\n tempConfig.IOPS_warnings_burst =\n tempConfig.IOPS_warnings_burst +\n \"[The cluster of \" +\n tempConfig.rac_nodes +\n \" nodes of \" +\n tempConfig.shape +\n \" can burst for short periods to the requested \" +\n tempConfig.requested_IOPS +\n \" IOPS, but has a baseline IOPS of \" + tempConfig.shape_baselineIOPS*tempConfig.rac_nodes + \".] \";\n }\n \n \n \n \n\n //\n //\n // Compute/Shape Section\n //\n //\n\n if (tempConfig.rds_type==\"se\") {\n tempConfig.summaryText =\n \"RDS-OracleSE2(License Included)\";\n } else if (tempConfig.rds_type==\"custom\") {\n tempConfig.summaryText =\n \"RDS-Custom for Oracle(BYOL)\";\n } else if (tempConfig.rds_type==\"rac\") {\n tempConfig.summaryText =\n \"RDS-Custom for Oracle Real Application Clusters(BYOL)\";\n } else {\n tempConfig.summaryText =\n \"RDS-OracleEE(BYOL)\";\n }\n \n //optimizeVCPU calculation\n \n //skip if optcpu_algo=N or if SE2 or Custom or RAC (since they don't offer it)\n if (!((config.UseOptCPU==\"N2\") || (config.UseOptCPU==\"N\") || (tempConfig.rds_type==\"se\") || (tempConfig.rds_type==\"custom\") || (tempConfig.rds_type==\"rac\") )) {\n \n // does this shape offer optimizeVCPU?\n if ((typeof rdsItemSelected.OptimizeVCPUs != \"undefined\")&&(rdsItemSelected.OptimizeVCPUs != null)) { \n //find the closest match...\n var choices = rdsItemSelected.OptimizeVCPUs.split(\",\");\n for (var ov = 0; ov < choices.length; ov++) {\n if (1 * choices[ov] >= tempConfig.requested_vcpu) {\n tempConfig.shape_optimize_vcpu = choices[ov];\n if (tempConfig.shape_optimize_vcpu*1 < tempConfig.requested_vcpu * 1) {\n tempConfig.cpu_warnings_info = tempConfig.cpu_warnings_info + \"[Optimize CPU feature considered for licensing benefits.] \"; \n } \n // console.log(\"Using optimizevcpu\"+choices[ov])\n break;\n }\n }\n }\n \n } else {\n tempConfig.shape_optimize_vcpu = tempConfig.shape_max_vcpu;\n }\n\n //licenseText and Pricing\n var shapeCost = 0;\n var RIused = \"OD\";\n \n if (tempConfig.rds_type==\"se\") {\n //License Included\n \n tempConfig.license_summaryText =\n \"SE2 License Included\"; \n \n if (tempConfig.UseMAZ==\"Yes\") {\n \n if ((config.UseRI=='RI') && tempConfig.shape_RI_SE2 > 0) {\n shapeCost = rdsItemSelected.OracleLIse2_1yrNURI * 730 *2;\n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate using MultiAZ (using 1-year Reserved Instance pricing): $\" +\n shapeCost.toFixed(2);\n RIused=\"RI\"; \n } else {\n // onDemand pricing for SE2 LI \n shapeCost = rdsItemSelected.OracleLIse2_OD * 730 *2;\n \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate using MultiAZ (using On-Demand pricing): $\" +\n shapeCost.toFixed(2);\n }\n \n } else {\n if ((config.UseRI=='RI') && tempConfig.shape_RI_SE2 > 0) {\n shapeCost = rdsItemSelected.OracleLIse2_1yrNURI * 730;\n RIused=\"RI\"; \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate (using 1-year Reserved Instance pricing): $\" +\n shapeCost.toFixed(2);\n } else {\n shapeCost = rdsItemSelected.OracleLIse2_OD * 730;\n \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate (using On-Demand pricing): $\" +\n shapeCost.toFixed(2);\n }\n }\n tempConfig.shape_cost = shapeCost;\n \n } else if (tempConfig.rds_type==\"custom\") {\n //Custom\n \n tempConfig.license_summaryText =\n \"RDS Custom (BYOL)\"; \n \n if (tempConfig.UseMAZ==\"Yes\") {\n \n if ((config.UseRI=='RI') && (rdsItemSelected.OracleCustom1yrNURI*1 > 0) ) {\n shapeCost = rdsItemSelected.OracleCustom1yrNURI * 730 *2;\n RIused=\"RI\"; \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate using MultiAZ (using 1-year Reserved Instance pricing): $\" +\n shapeCost.toFixed(2);\n } else {\n // onDemand pricing for SE2 LI \n shapeCost = rdsItemSelected.OracleCustomOD * 730 *2;\n \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate using MultiAZ (using On-Demand pricing): $\" +\n shapeCost.toFixed(2);\n }\n \n } else {\n if ((config.UseRI=='RI') && (rdsItemSelected.OracleCustom1yrNURI*1 > 0) ) {\n shapeCost = rdsItemSelected.OracleCustom1yrNURI * 730;\n RIused=\"RI\"; \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate (using 1-year Reserved Instance pricing): $\" +\n shapeCost.toFixed(2);\n } else {\n shapeCost = rdsItemSelected.OracleCustomOD * 730;\n \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate (using On-Demand pricing): $\" +\n shapeCost.toFixed(2);\n }\n }\n tempConfig.shape_cost = shapeCost;\n \n } else if (tempConfig.rds_type==\"rac\") {\n //Custom for RAC\n \n // tempConfig.UseMAZ=\"No\";\n // config.UseMAZ=\"No\";\n \n tempConfig.license_summaryText =\n \"RDS Custom for Oracle RAC (BYOL)\" +\n \" for \" +\n tempConfig.rac_nodes + \" nodes of \" +\n tempConfig.shape_optimize_vcpu +\n \" VCPUs each \";\n tempConfig.license_summaryText +=\n \"(\"+ 0.5 * tempConfig.shape_optimize_vcpu * tempConfig.rac_nodes +\n \" Oracle Processor Licenses in total)\";\n \n\n \n //todo: switch to RAC pricing when available\n \n //always use OD\n shapeCost = rdsItemSelected.OracleOD * 730 * tempConfig.rac_nodes;\n \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate for \" + tempConfig.rac_nodes + \" nodes (using On-Demand pricing): $\" +\n shapeCost.toFixed(2);\n /* \n if (rdsItemSelected.OracleCustom1yrNURI*1 > 0) {\n shapeCost = rdsItemSelected.OracleCustom1yrNURI * 730 * tempConfig.rac_nodes;\n RIused=\"RI\"; \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate for \" + tempConfig.rac_nodes + \" nodes (using 1-year Reserved Instance pricing): $\" +\n shapeCost.toFixed(2);\n } else {\n // onDemand pricing for SE2 LI \n shapeCost = rdsItemSelected.OracleCustomOD * 730 * tempConfig.rac_nodes;\n \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate for \" + tempConfig.rac_nodes + \" nodes (using On-Demand pricing): $\" +\n shapeCost.toFixed(2);\n }\n */\n \n \n tempConfig.shape_cost = shapeCost;\n \n \n \n } else {\n //BYOL\n \n tempConfig.license_summaryText =\n \"Oracle BYOL for \" +\n tempConfig.shape_optimize_vcpu +\n \" VCPUs \";\n if (tempConfig.UseMAZ==\"Yes\") {\n tempConfig.license_summaryText +=\n \"per node (\" + 1 * tempConfig.shape_optimize_vcpu +\n \" Oracle Processor Licenses total - accounts for licensing both nodes of MultiAZ)\";\n } else {\n tempConfig.license_summaryText +=\n \"(\"+ 0.5 * tempConfig.shape_optimize_vcpu +\n \" Oracle Processor Licenses)\";\n } \n \n if (1 * tempConfig.shape_max_vcpu - tempConfig.shape_optimize_vcpu > 0) {\n tempConfig.license_summaryText =\n tempConfig.license_summaryText +\n \". Optimize CPU feature used to go from \" +\n tempConfig.shape_max_vcpu +\n \" to \" +\n tempConfig.shape_optimize_vcpu +\n \" VCPUs.\";\n }\n \n if ((config.UseOptCPU==\"Y\")&&(1 * tempConfig.shape_optimize_vcpu - tempConfig.requested_vcpu > 4)) {\n tempConfig.cpu_warnings_info =\n tempConfig.cpu_warnings_info +\n \"[This shape does not appear to offer the Optimize CPU feature.] \";\n }\n \n if (tempConfig.UseMAZ==\"Yes\") {\n \n if ((config.UseRI=='RI') && tempConfig.shape_RI > 0) {\n shapeCost = rdsItemSelected.Oracle1yrNURI * 730 *2;\n RIused=\"RI\"; \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate using MultiAZ (using 1-year Reserved Instance pricing): $\" +\n shapeCost.toFixed(2);\n } else {\n shapeCost = rdsItemSelected.OracleOD * 730 *2;\n \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate using MultiAZ (using On-Demand pricing): $\" +\n shapeCost.toFixed(2);\n }\n \n } else {\n if ((config.UseRI=='RI') && tempConfig.shape_RI > 0) {\n shapeCost = rdsItemSelected.Oracle1yrNURI * 730;\n RIused=\"RI\"; \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate (using 1-year Reserved Instance pricing): $\" +\n shapeCost.toFixed(2);\n } else {\n shapeCost = rdsItemSelected.OracleOD * 730;\n \n tempConfig.shape_summaryText =\n \"RDS Compute Monthly estimate (using On-Demand pricing): $\" +\n shapeCost.toFixed(2);\n }\n }\n tempConfig.shape_cost = shapeCost;\n \n } //end BYOL pricing\n \n tempConfig.RIused = RIused;\n\n //\n //\n // STORAGE SECTION\n //\n //\n\n var rdsSnapshotSize =\n ((config.Backup * 60 * 60 * 24) / 1024) * config.SnapshotDays +\n working_DiskSpace * 0.7;\n // assume some factor (0.7?) for initial backup because RDS says most customers don't need backup space with RDS, so it must be less than 1.0. Maybe accounts for allocated but unused blocks\n tempConfig.ebs_backup_snap_size = Math.max(0, 1 * rdsSnapshotSize - working_DiskSpace).toFixed(0);\n\n \n var tempCost=0.0;\n var RIstring = \"\";\n var mazString = \"\";\n var mazFactor = 1.0;\n if ( (tempConfig.UseMAZ==\"Yes\") && (tempConfig.rds_type!=\"rac\") ) {\n mazString=\" using MultiAZ\";\n mazFactor = 2.0;\n }\n if ((RIused=='RI') ) {\n RIstring = \"using 1-year No Upfront Reserved Instance pricing\";\n } else {\n RIstring = \"using On-Demand pricing\";\n }\n\n \n if ((config.VolumeType == \"io1\") ) {\n \n\n //\n //\n // io1\n //\n //\n\n //estimate max io1 throughput based on iops\n let maxBW = 0;\n if (working_IOPS*1<8000) {\n maxBW = 2000 * working_IOPS / 8000;\n }\n if (working_IOPS*1>=8000 && working_IOPS*1<128000) {\n maxBW=2000;\n }\n if (working_IOPS*1>=128000) {\n maxBW=4000 * Math.min(working_IOPS,256000) / 256000;\n }\n // console.log(\"maxBW\",maxBW, working_Throughput);\n if (maxBW= 2000) {\n neededIOPS = working_Throughput * 256000 / 4000 + 1;\n }\n tempConfig.iops_warnings_info =\n tempConfig.iops_warnings_info + \"[io1 with \"+working_IOPS+\" IOPS can only do a max Throughput of \"+maxBW.toFixed(0)+\" MB/s. For pricing, we increased the IOPS to \"+ neededIOPS.toFixed(0) + \" to be able to hit \"+working_Throughput+ \" MB/s.] \";\n \n \n tempConfig.iomb_warnings_info =\n tempConfig.iomb_warnings_info + \"[io1 with \"+working_IOPS+\" IOPS can only do a max Throughput of \"+maxBW.toFixed(0)+\" MB/s. For pricing, we increased the IOPS to \"+ neededIOPS.toFixed(0) + \" to be able to hit \"+working_Throughput+ \" MB/s.] \";\n \n working_IOPS=Math.round(neededIOPS);\n }\n\n tempConfig.ebs_burst_Throughput = Math.round(Math.max(maxBW, Math.min(4000,working_Throughput) ) );\n \n //now do some warnings for io1\n if (1 * tempConfig.requested_throughput > 4000) {\n //single io1 volume can do 1000MB/s. RDS-Oracle appears to use 4 EBS volumes if disk size is ~ >300GB.\n tempConfig.iomb_warnings_alert =\n tempConfig.iomb_warnings_alert + \"[io1 for RDS-Oracle will not be able to exceed 4000 MB/s.] \";\n }\n\n if (1 * working_IOPS < 1000) {\n tempConfig.iops_warnings_info =\n tempConfig.iops_warnings_info + \"[io1 IOPS must be at least 1000. Using 1000 IOPS for pricing.] \";\n working_IOPS=1000;\n }\n if (1 * working_IOPS > 256000) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert + \"[io1 IOPS must be less than 256000.] \";\n }\n /* if ((1 * working_IOPS > 40000) && !(\n (tempConfig.shape=='db.m5.24xlarge')||\n (tempConfig.shape=='db.r5.24xlarge')||\n (tempConfig.shape=='db.x1.32xlarge')||\n (tempConfig.shape=='db.x1e.32xlarge')\n )) {\n tempConfig.iomb_warnings =\n tempConfig.iomb_warnings + \"io1 IOPS must be less than 40000 with this shape. \";\n } */\n if (1 * working_IOPS < 0.5*working_DiskSpace) {\n working_IOPS=Math.round(0.5*working_DiskSpace);\n tempConfig.iops_warnings_info =\n tempConfig.iops_warnings_info + \"[io1 IOPS must be at least 1/2 the Disk Space in GB. Setting IOPS to \"+working_IOPS+ \" for pricing.] \";\n \n }\n // if (1 * working_IOPS < 1*working_DiskSpace) {\n // tempConfig.IOPS_warnings =\n // tempConfig.IOPS_warnings + \"io1 IOPS are suggested to be at least same as the Disk Space in GB. \";\n // }\n\n if (1 * working_DiskSpace < 100) {\n tempConfig.iops_warnings_info =\n tempConfig.iops_warnings_info + \"[io1 Disk Size must be at least 100 GB.] \";\n }\n if (1 * working_DiskSpace > 64000) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert + \"[io1 Disk Size must be less than 64 TB.] \";\n }\n \n tempConfig.ebs_data_summaryText1 =\n \"RDS Storage: \" +\n working_DiskSpace +\n \" GB of io1 (Provisioned IOPS SSD) at \" +\n working_IOPS +\n \" IOPS.\";\n tempConfig.ebs_data_summaryText2 =\n \"RDS Storage\"+mazString+\" Monthly estimate: EBS Volumes=$\" +\n (working_DiskSpace * regionInfo.rds_io1_gb * mazFactor).toFixed(2) +\n \", EBS IOPS=$\" +\n (regionInfo.rds_io1_iops * working_IOPS * mazFactor).toFixed(2);\n\n tempConfig.ebs_data_iops = working_IOPS;\n\n \n\n tempConfig.ebs_burst_IOPS = working_IOPS;\n \n \n tempConfig.ebs_data_cost = working_DiskSpace * regionInfo.rds_io1_gb * mazFactor +\n regionInfo.rds_io1_iops * working_IOPS * mazFactor ;\n tempConfig.ebs_backup_cost =\n Math.max(0, regionInfo.rds_backup_gb * (1 * rdsSnapshotSize - working_DiskSpace));\n\n tempCost=(\n shapeCost +\n working_DiskSpace * regionInfo.rds_io1_gb * mazFactor +\n regionInfo.rds_io1_iops * working_IOPS * mazFactor +\n Math.max(0, regionInfo.rds_backup_gb * (1 * rdsSnapshotSize - working_DiskSpace))\n );\n\n tempConfig.summaryText += \" Monthly \" + mazString+\" = [\" +\n rdsItemSelected.Name;\n if (tempConfig.rds_type==\"rac\") {\n tempConfig.summaryText += \" x \"+tempConfig.rac_nodes;\n } \n \n tempConfig.summaryText += \" \" + RIstring +\n \"] + [io1 @ \" +\n working_DiskSpace +\n \" GB at \" +\n working_IOPS +\n \" IOPS]\" +\n // \" + [additional \" +\n // Math.max(0, 1 * rdsSnapshotSize - working_DiskSpace).toFixed(0) +\n // \" GB of Snapshots]\" +\n \" = $\" +\n tempCost.toFixed(2);\n \n \n\n } else if ((tempConfig.rds_type==\"rac\") && ((config.VolumeType == \"io2\")||(config.VolumeType == \"io2bx\") ) ) { \n\n //\n //\n // Custom for RAC and io2 and io2bx\n //\n //\n \n \n var iopsCost=0.0;\n var volumes = 16; //number of EBS volumes\n var redundancy = 2; //ASM redunancy\n if ( (config.VolumeType == \"io2\") && (working_DiskSpace*1<=128000) ) {\n volumes = 8;\n }\n // if ( (config.VolumeType == \"io2\") && (working_DiskSpace*1<=32000) ) {\n // volumes = 8;\n // }\n var vol_IOPS = working_IOPS / volumes; //should we also divide by redundancy??\n\n //estimate max io2 throughput based on iops\n let maxBW = 0;\n \n if (config.VolumeType==\"io2old\") {\n \n if (vol_IOPS*1<2000) {\n maxBW = 500 * vol_IOPS / 2000;\n }\n if (vol_IOPS*1>=2000 && vol_IOPS*1<32000) {\n maxBW=500;\n }\n if (vol_IOPS*1>=32000) {\n maxBW=1000 * Math.min(64000,vol_IOPS) / 64000;\n }\n // console.log(\"maxBW\",maxBW, working_Throughput);\n if (maxBW*volumes= 500) {\n neededIOPS = working_Throughput * 64000 / (1000) + 1;\n }\n tempConfig.iops_warnings_info =\n tempConfig.iops_warnings_info + \"[io2 with \"+vol_IOPS*volumes+\" IOPS can only do a max Throughput of \"+(maxBW*volumes).toFixed(0)+\" MB/s. For pricing, we increased the IOPS to \"+ neededIOPS.toFixed(0) + \" to be able to hit \"+working_Throughput+ \" MB/s.] \";\n working_IOPS=Math.round(neededIOPS);\n tempConfig.iomb_warnings_info =\n tempConfig.iomb_warnings_info + \"[io2 with \"+vol_IOPS*volumes+\" IOPS can only do a max Throughput of \"+(maxBW*volumes).toFixed(0)+\" MB/s. For pricing, we increased the IOPS to \"+ neededIOPS.toFixed(0) + \" to be able to hit \"+working_Throughput+ \" MB/s.] \";\n }\n }\n \n tempConfig.ebs_burst_Throughput = Math.round(Math.max(maxBW*volumes, Math.min(1000*volumes, working_Throughput) ) );\n \n } else {\n //do similar calc for io2bx\n maxBW = 0;\n if (vol_IOPS*1<16000) {\n maxBW = 4000 * vol_IOPS / 16000;\n }\n if (vol_IOPS*1>=16000) {\n maxBW=4000;\n }\n \n // console.log(\"maxBW\",maxBW, working_Throughput);\n if (maxBW*volumes= 4000) {\n // neededIOPS = working_Throughput * 256000 / 4000 + 1;\n // }\n tempConfig.iops_warnings_info =\n tempConfig.iops_warnings_info + \"[io2bx with \"+vol_IOPS*volumes+\" IOPS can only do a max Throughput of \"+(maxBW*volumes).toFixed(0)+\" MB/s. For pricing, we increased the IOPS to \"+ neededIOPS.toFixed(0) + \" to be able to hit \"+working_Throughput+ \" MB/s.] \";\n working_IOPS=Math.round(neededIOPS);\n tempConfig.iomb_warnings_info =\n tempConfig.iomb_warnings_info + \"[io2bx with \"+vol_IOPS*volumes+\" IOPS can only do a max Throughput of \"+(maxBW*volumes).toFixed(0)+\" MB/s. For pricing, we increased the IOPS to \"+ neededIOPS.toFixed(0) + \" to be able to hit \"+working_Throughput+ \" MB/s.] \";\n } \n }\n \n tempConfig.ebs_burst_Throughput = Math.round(Math.max(maxBW*volumes, Math.min(4000*volumes, working_Throughput) ) );\n \n \n } \n \n if (1 * working_IOPS < 2400) {\n working_IOPS=2400;\n tempConfig.iops_warnings_info =\n tempConfig.iops_warnings_info + \"[io2 IOPS must be at least 2400. Setting IOPS to \"+working_IOPS+ \" for pricing.] \";\n }\n \n // console.log(\"maxBW\", maxBW);\n\n \n vol_IOPS = working_IOPS / volumes; //recalculate\n \n //now do some warnings for io2\n if ( (config.VolumeType == \"io2old\") && (1 * tempConfig.requested_throughput > 1000*volumes) ) {\n //single io2 volume can do 1000MB/s. \n tempConfig.iomb_warnings_alert =\n tempConfig.iomb_warnings_alert + \"[io2 for RDS Custom for RAC will not be able to exceed \"+1000*volumes+\" MB/s with the standard \"+volumes+ \" data volumes for this size database. You should add \"+ Math.ceil( (tempConfig.requested_throughput - 1000*volumes) / 1000 ) +\" additional data volumes (not included in this price estimate) to ASM to meet \"+tempConfig.requested_throughput+\" MB/s.] \";\n }\n if ( (config.VolumeType == \"io2\") && (1 * tempConfig.requested_throughput > 4000*volumes) ) {\n //single io2bx volume can do 4000MB/s. \n tempConfig.iomb_warnings_alert =\n tempConfig.iomb_warnings_alert + \"[io2bx for RDS Custom for RAC will not be able to exceed \"+4000*volumes+\" MB/s with the standard \"+volumes+ \" data volumes for this size database. You should add \"+ Math.ceil( (tempConfig.requested_throughput - 4000*volumes) / 4000 ) +\" additional data volumes (not included in this price estimate) to ASM to meet \"+tempConfig.requested_throughput+\" MB/s.] \";\n }\n\n if ( (config.VolumeType == \"io2\") && (1 * working_IOPS > 256000*volumes) ) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert + \"[io2bx IOPS must be less than \"+256000*volumes+\".] \";\n }\n if ( (config.VolumeType == \"io2old\") && (1 * working_IOPS > 64000*volumes) ) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert + \"[io2 IOPS must be less than \"+64000*volumes+\".] \";\n }\n // if (1 * vol_IOPS < 0.5*working_DiskSpace) {\n // tempConfig.IOPS_warnings =\n // tempConfig.IOPS_warnings + \"[io2 IOPS must be at least 1/2 the Disk Space in GB.] \";\n // }\n // if (1 * vol_IOPS < 1*working_DiskSpace) {\n // tempConfig.IOPS_warnings =\n // tempConfig.IOPS_warnings + \"io1 IOPS are suggested to be at least same as the Disk Space in GB. \";\n // }\n\n if (1 * working_DiskSpace < 256) {\n working_DiskSpace=256;\n tempConfig.ebsvol_warnings =\n tempConfig.ebsvol_warnings + \"[using io2 minimum disk space of 256GB for pricing.] \";\n }\n \n\n\n config.addlVolumes = \" (broken out as \"+volumes+\" volumes of \"+(working_DiskSpace*redundancy/volumes).toFixed(0)+\"GB at \"+vol_IOPS.toFixed(0)+\" IOPS. Assumes normal ASM redundancy.)\";\n \n if (vol_IOPS<=32000) {\n iopsCost=vol_IOPS*regionInfo.ec2_io2_iops1;\n } else {\n iopsCost=32000*regionInfo.ec2_io2_iops1;\n if (vol_IOPS<=64000) {\n iopsCost=32000*regionInfo.ec2_io2_iops1 + (vol_IOPS-32000)*regionInfo.ec2_io2_iops2;\n } else {\n iopsCost=32000*regionInfo.ec2_io2_iops1 + 32000*regionInfo.ec2_io2_iops2 + (vol_IOPS-64000)*regionInfo.ec2_io2_iops3;\n if ( !(regionInfo.ec2_io2_iops3*1>0) ) {\n //if this is not >0 then it means we are in a region with io2bx but trying to use it\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert + \"[ERROR: It looks like we are trying to provision more than 64000 IOPS per volume in a region that does not support io2bx. Desired IOPS per volume=\"+vol_IOPS+\"] \";\n\n }\n }\n }\n iopsCost = iopsCost*volumes; //add up IOPS costs for all volumes\n\n tempConfig.ebs_data_iops = working_IOPS;\n tempConfig.ebs_data_cost = (working_DiskSpace * redundancy * regionInfo.ec2_io2_gb) +iopsCost;\n\n \n tempConfig.ebs_data_summaryText1 =\n \"RDS Storage: \" +\n working_DiskSpace +\n \" GB of \"+config.VolumeType+\" (Provisioned IOPS SSD) at \" +\n working_IOPS +\n \" IOPS.\";\n \n\n tempConfig.ebs_data_summaryText2 =\n \"RDS Storage Monthly estimate: EBS Volumes=$\" +\n (tempConfig.ebs_data_cost).toFixed(2) +\n \" [Storage=$\"+\n (working_DiskSpace * redundancy * regionInfo.ec2_io2_gb).toFixed(2) +\n \", IOPS=$\" +\n (iopsCost).toFixed(2) + \"] \" ;\n\n // tempConfig.ebs_data_iops = vol_IOPS;\n\n \n\n tempConfig.ebs_burst_IOPS = working_IOPS;\n \n \n tempConfig.ebs_backup_cost =\n Math.max(0, regionInfo.rds_backup_gb * (1 * rdsSnapshotSize - working_DiskSpace));\n\n tempCost=(\n shapeCost +\n tempConfig.ebs_data_cost +\n tempConfig.ebs_backup_cost\n );\n\n tempConfig.summaryText += \" Monthly = [\" +\n rdsItemSelected.Name;\n if (tempConfig.rds_type==\"rac\") {\n tempConfig.summaryText += \" x \"+tempConfig.rac_nodes;\n } \n tempConfig.summaryText += \" \" + RIstring +\n \"] + [\"+config.VolumeType+\" @ \" +\n working_DiskSpace +\n \" GB at \" +\n working_IOPS +\n \" IOPS]\" +\n // \" + [additional \" +\n // Math.max(0, 1 * rdsSnapshotSize - working_DiskSpace).toFixed(0) +\n // \" GB of Snapshots]\" +\n \" = $\" +\n tempCost.toFixed(2);\n \n\n\n\n \n \n\n } else if ((tempConfig.rds_type!=\"rac\") && ((config.VolumeType == \"io2\") ) ) { \n\n //\n //\n // non-RAC with io2 and io2bx\n //\n //\n \n \n var iopsCost=0.0;\n var volumes = 4; //number of EBS volumes\n var redundancy = 1; //ASM redunancy\n var vol_IOPS = working_IOPS / volumes; //should we also divide by redundancy??\n\n //estimate max io2 throughput based on iops\n let maxBW = 0;\n \n if (config.VolumeType==\"io2\") {\n \n\n //do similar calc for io2bx\n maxBW = 0;\n if (vol_IOPS*1<16000) {\n maxBW = 4000 * vol_IOPS / 16000;\n }\n if (vol_IOPS*1>=16000) {\n maxBW=4000;\n }\n \n // console.log(\"maxBW\",maxBW, working_Throughput);\n if (maxBW*volumes= 4000) {\n // neededIOPS = working_Throughput * 256000 / 4000 + 1;\n // }\n tempConfig.iops_warnings_info =\n tempConfig.iops_warnings_info + \"[io2bx with \"+vol_IOPS*volumes+\" IOPS can only do a max Throughput of \"+(maxBW*volumes).toFixed(0)+\" MB/s. For pricing, we increased the IOPS to \"+ neededIOPS.toFixed(0) + \" to be able to hit \"+working_Throughput+ \" MB/s.] \";\n working_IOPS=Math.round(neededIOPS);\n tempConfig.iomb_warnings_info =\n tempConfig.iomb_warnings_info + \"[io2bx with \"+vol_IOPS*volumes+\" IOPS can only do a max Throughput of \"+(maxBW*volumes).toFixed(0)+\" MB/s. For pricing, we increased the IOPS to \"+ neededIOPS.toFixed(0) + \" to be able to hit \"+working_Throughput+ \" MB/s.] \";\n } \n }\n \n tempConfig.ebs_burst_Throughput = Math.round(Math.max(maxBW*volumes, Math.min(4000*volumes, working_Throughput) ) );\n \n \n } \n \n \n\n \n vol_IOPS = working_IOPS / volumes; //recalculate\n \n //now do some warnings for io2\n if ( (config.VolumeType == \"io2\") && (1 * tempConfig.requested_throughput > 4000*volumes) ) {\n //single io2bx volume can do 4000MB/s. \n tempConfig.iomb_warnings_alert =\n tempConfig.iomb_warnings_alert + \"[io2bx will not be able to exceed \"+4000*volumes+\" MB/s with the standard \"+volumes+ \" data volumes. ] \";\n }\n\n if ( (config.VolumeType == \"io2\") && (1 * working_IOPS > 256000*volumes) ) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert + \"[io2bx IOPS must be less than \"+256000*volumes+\".] \";\n }\n if ( (config.VolumeType == \"io2\") && (1 * working_IOPS > 64000*volumes) ) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert + \"[io2 IOPS must be less than \"+64000*volumes+\".] \";\n }\n // if (1 * vol_IOPS < 0.5*working_DiskSpace) {\n // tempConfig.IOPS_warnings =\n // tempConfig.IOPS_warnings + \"[io2 IOPS must be at least 1/2 the Disk Space in GB.] \";\n // }\n // if (1 * vol_IOPS < 1*working_DiskSpace) {\n // tempConfig.IOPS_warnings =\n // tempConfig.IOPS_warnings + \"io1 IOPS are suggested to be at least same as the Disk Space in GB. \";\n // }\n\n if (1 * working_DiskSpace < 100) {\n working_DiskSpace=100;\n tempConfig.ebsvol_warnings =\n tempConfig.ebsvol_warnings + \"[using io2 minimum disk space of 100GB for pricing.] \";\n }\n \n\n\n\n iopsCost=vol_IOPS*regionInfo.rds_io2_iops;\n \n //save for later\n // if (vol_IOPS<=32000) {\n // iopsCost=vol_IOPS*regionInfo.rds_io2_iops;\n // } else {\n // iopsCost=32000*regionInfo.ec2_io2_iops1;\n // if (vol_IOPS<=64000) {\n // iopsCost=32000*regionInfo.ec2_io2_iops1 + (vol_IOPS-32000)*regionInfo.ec2_io2_iops2;\n // } else {\n // iopsCost=32000*regionInfo.ec2_io2_iops1 + 32000*regionInfo.ec2_io2_iops2 + (vol_IOPS-64000)*regionInfo.ec2_io2_iops3;\n // if ( !(regionInfo.ec2_io2_iops3*1>0) ) {\n // //if this is not >0 then it means we are in a region with io2bx but trying to use it\n // tempConfig.iops_warnings_alert =\n // tempConfig.iops_warnings_alert + \"[ERROR: It looks like we are trying to provision more than 64000 IOPS per volume in a region that does not support io2bx. Desired IOPS per volume=\"+vol_IOPS+\"] \";\n\n // }\n // }\n // }\n iopsCost = iopsCost*volumes * mazFactor; //add up IOPS costs for all volumes\n\n tempConfig.ebs_data_iops = working_IOPS;\n tempConfig.ebs_data_cost = (working_DiskSpace * redundancy * regionInfo.rds_io2_gb * mazFactor) +iopsCost;\n\n \n tempConfig.ebs_data_summaryText1 =\n \"RDS Storage\"+mazString+\": \" +\n working_DiskSpace +\n \" GB of \"+config.VolumeType+\" (Provisioned IOPS SSD) at \" +\n working_IOPS +\n \" IOPS.\";\n \n\n tempConfig.ebs_data_summaryText2 =\n \"RDS Storage\"+mazString+\" Monthly estimate: EBS Volumes=$\" +\n (tempConfig.ebs_data_cost).toFixed(2) +\n \" [Storage=$\"+\n (working_DiskSpace * redundancy * regionInfo.rds_io2_gb * mazFactor).toFixed(2) +\n \", IOPS=$\" +\n (iopsCost).toFixed(2) + \"] \" ;\n\n // tempConfig.ebs_data_iops = vol_IOPS;\n\n \n\n tempConfig.ebs_burst_IOPS = working_IOPS;\n \n \n tempConfig.ebs_backup_cost =\n Math.max(0, regionInfo.rds_backup_gb * (1 * rdsSnapshotSize - working_DiskSpace));\n\n tempCost=(\n shapeCost +\n tempConfig.ebs_data_cost +\n tempConfig.ebs_backup_cost\n );\n\n tempConfig.summaryText += \" Monthly \" + mazString + \" = [\" +\n rdsItemSelected.Name;\n if (tempConfig.rds_type==\"rac\") {\n tempConfig.summaryText += \" x \"+tempConfig.rac_nodes;\n } \n tempConfig.summaryText += \" \" + RIstring +\n \"] + [\"+config.VolumeType+\" @ \" +\n working_DiskSpace +\n \" GB at \" +\n working_IOPS +\n \" IOPS]\" +\n // \" + [additional \" +\n // Math.max(0, 1 * rdsSnapshotSize - working_DiskSpace).toFixed(0) +\n // \" GB of Snapshots]\" +\n \" = $\" +\n tempCost.toFixed(2);\n \n\n\n\n \n \n } else if (config.VolumeType == \"gp3\") {\n\n //\n //\n // gp3\n //\n //\n \n var baseIops=3000;\n var baseThru=125;\n if (working_DiskSpace*1>=200) {\n baseIops=12000;\n baseThru=500;\n } \n\n if (1 * working_IOPS > 500*working_DiskSpace) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert + \"[gp3 IOPS must be less than 500x the Disk Space in GB.] \";\n }\n\n if (1 * working_Throughput > 0.25*Math.max(working_IOPS,baseIops)) {\n working_IOPS=working_Throughput*4;\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert + \"[gp3 Throughput in MB/s must be less than 0.25x the IOPS. Increasing the IOPS to \"+working_Throughput*4 + \" to support \"+working_Throughput+\" MB/s for pricing.] \";\n }\n \n\n\n\n //calculate additional IOPS and throughput charges. if disksize is >200GB, then we use 4 volumes, else 1\n var iopsCost=0.0;\n var mbsCost=0.0;\n if (working_IOPS*1>baseIops) {\n iopsCost=(working_IOPS-baseIops)*regionInfo.rds_gp3_iops* mazFactor;\n } \n if (tempConfig.requested_throughput*1>baseThru) {\n mbsCost=(tempConfig.requested_throughput-baseThru)*regionInfo.rds_gp3_thru * mazFactor; \n } \n \n // we can only provision IOPS >3000 or Throughput>125 if the storage size is >200GB\n \n\n tempConfig.ebs_data_summaryText1 =\n \"RDS Storage: \" +\n working_DiskSpace +\n \" GB of gp3 (General Purpose SSD) at \" +\n Math.max(tempConfig.requested_throughput,baseThru) +\n \" MB/s and \" +\n Math.max(working_IOPS,baseIops) +\n \" IOPS.\";\n \n \n tempConfig.ebs_data_iops = Math.max(working_IOPS,baseIops);\n tempConfig.ebs_burst_IOPS = tempConfig.ebs_data_iops; \n \n tempConfig.ebs_burst_Throughput = Math.max(tempConfig.requested_throughput,baseThru);\n \n tempConfig.ebs_data_cost = (working_DiskSpace * regionInfo.rds_gp3_gb* mazFactor) +iopsCost + mbsCost;\n\n tempConfig.ebs_data_summaryText2 =\n \"RDS Storage\"+mazString+\" Monthly estimate: EBS Volumes=$\" +\n (tempConfig.ebs_data_cost).toFixed(2) + \" [Storage=$\"+\n (working_DiskSpace * regionInfo.rds_gp3_gb* mazFactor).toFixed(2) +\n \", additional IOPS=$\" +\n (iopsCost).toFixed(2) +\n \", additional MB/s=$\" +\n (mbsCost).toFixed(2) +\"] \" ;\n\n tempConfig.ebs_backup_cost =\n Math.max(0, regionInfo.rds_backup_gb * (1 * rdsSnapshotSize - working_DiskSpace));\n\n tempCost=(\n shapeCost +\n tempConfig.ebs_data_cost + \n tempConfig.ebs_backup_cost\n );\n\n tempConfig.summaryText += \" Monthly \" + mazString+\" = [\" +\n rdsItemSelected.Name;\n if (tempConfig.rds_type==\"rac\") {\n tempConfig.summaryText += \" x \"+tempConfig.rac_nodes;\n } \n tempConfig.summaryText += \" \" + RIstring +\n \"] + [gp3 @ \" +\n working_DiskSpace +\n \" GB at \" +\n Math.max(tempConfig.requested_throughput,baseThru) +\n \" MB/s and \" +\n Math.max(working_IOPS,baseIops) +\n \" IOPS]\" +\n // \" + [additional \" +\n // Math.max(0, 1 * rdsSnapshotSize - working_DiskSpace).toFixed(0) +\n // \" GB of Snapshots]\" +\n \" = $\" +\n tempCost.toFixed(2);\n\n // warnings for gp3\n if (1 * tempConfig.requested_throughput > 4000) {\n //single gp volume can do 1000MB/s. RDS-Oracle appears to use 4 EBS volumes if disk size is ~ >200GB.\n tempConfig.iomb_warnings_alert =\n tempConfig.iomb_warnings_alert + \"[gp3 for RDS-Oracle will not be able to exceed 4000 MB/s.] \";\n }\n\n if (1 * working_IOPS > 64000) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert + \"[gp3 IOPS must be less than 64000.] \";\n }\n \n\n if (1 * working_DiskSpace < 20) {\n tempConfig.iops_warnings_info =\n tempConfig.iops_warnings_info + \"[gp3 Disk Size must be at least 20 GB.] \";\n }\n if (1 * working_DiskSpace > 64000) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert + \"[gp3 Disk Size must be less than 64 TB.] \";\n }\n \n \n \n \n } else { \n\n //\n //\n // gp2\n //\n //\n\n tempConfig.ebs_data_summaryText1 =\n \"RDS Storage: \" +\n working_DiskSpace +\n \" GB of gp2 (General Purpose SSD)\";\n tempConfig.ebs_data_summaryText2 =\n \"RDS Storage\"+mazString+\" Monthly estimate: EBS Volumes=$\" +\n (working_DiskSpace * regionInfo.rds_gp2_gb * mazFactor).toFixed(2);\n\n // https://aws.amazon.com/blogs/database/understanding-burst-vs-baseline-performance-with-amazon-rds-and-gp2/\n \n /* if (1 * working_IOPS > 64000) {\n tempConfig.iomb_warnings =\n tempConfig.iomb_warnings + \"gp2 IOPS must be less than 64000. \";\n } */\n if (1 * working_DiskSpace >= 200) {\n // if (1 * tempConfig.requested_throughput > 1000) {\n // //single gp2 volume can do 250MB/s. RDS-Oracle appears to use 4 EBS volumes if disk size is ~ >200GB.\n // tempConfig.iomb_warnings =\n // tempConfig.iomb_warnings + \"[gp2 for RDS-Oracle will not be able to exceed 1000 MB/s. You should use gp3/io1 for this environment.] \";\n // }\n tempConfig.ebs_baseline_IOPS = Math.min(working_DiskSpace/4 * 3, 16000)*4;\n\n if (working_DiskSpace*1<170*4) {\n // tempConfig.ebs_baseline_Throughput=128*4;\n tempConfig.ebs_burst_Throughput=128*4;\n } else if (working_DiskSpace*1>=334*4) {\n // tempConfig.ebs_baseline_Throughput=250*4;\n tempConfig.ebs_burst_Throughput=250*4;\n } else {\n tempConfig.ebs_baseline_Throughput=128*4;\n tempConfig.ebs_burst_Throughput=250*4;\n } \n if (1 * tempConfig.requested_throughput > tempConfig.ebs_burst_Throughput) {\n //single gp2 volume can do 250MB/s. RDS-Oracle appears to use 4 EBS volumes if disk size is ~ >200GB.\n tempConfig.iomb_warnings_alert =\n tempConfig.iomb_warnings_alert + \"[\"+working_DiskSpace+\"GB of gp2 for RDS-Oracle will not be able to exceed \"+tempConfig.ebs_burst_Throughput+\" MB/s. You should use gp3/io2 for this environment.] \";\n }\n \n if (1 * working_IOPS > tempConfig.ebs_baseline_IOPS +2 ) {\n tempConfig.IOPS_warnings_burst =\n tempConfig.IOPS_warnings_burst +\n \"[Calculated gp2 baseline IOPS of \" +\n tempConfig.ebs_baseline_IOPS +\n \" is less than your desired \" +\n working_IOPS +\n \" IOPS (please confirm that the gp2 bursting profile fits your workload).] \";\n }\n //burst: https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Storage.html\n //minimum of 100 iops per volume\n //no more than 3000 per volume (unless baseline is higher)\n \n tempConfig.ebs_burst_IOPS = Math.max(3000*4,tempConfig.ebs_baseline_IOPS);\n \n if (1 * working_IOPS > tempConfig.ebs_burst_IOPS +2) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert +\n \"[Calculated gp2 bursting IOPS of \" +\n tempConfig.ebs_burst_IOPS +\n \" is less than your desired \" +\n working_IOPS +\n \" IOPS (please switch to gp3 or io2).] \";\n }\n \n \n \n } else {\n //assume 1 volume and less than 200GB\n // if (1 * tempConfig.requested_throughput > 250) {\n // //single gp2 volume can do 250MB/s. RDS-Oracle appears to use 4 EBS volumes if disk size is ~ >400GB.\n // tempConfig.iomb_warnings =\n // tempConfig.iomb_warnings + \"[gp2 for RDS-Oracle will not be able to exceed 250 MB/s when storage size is <200GB. You should use gp3/io1 for this environment.] \";\n // }\n tempConfig.ebs_baseline_IOPS = Math.max(100,Math.min(working_DiskSpace * 3, 16000));\n \n \n if (working_DiskSpace*1<170) {\n // tempConfig.ebs_baseline_Throughput=128;\n tempConfig.ebs_burst_Throughput=128;\n } else {\n tempConfig.ebs_baseline_Throughput=128;\n tempConfig.ebs_burst_Throughput=250;\n \n } \n if (1 * tempConfig.requested_throughput > tempConfig.ebs_burst_Throughput) {\n //single gp2 volume can do 250MB/s. RDS-Oracle appears to use 4 EBS volumes if disk size is ~ >200GB.\n tempConfig.iomb_warnings_alert =\n tempConfig.iomb_warnings_alert + \"[\"+working_DiskSpace+\"GB of gp2 for RDS-Oracle will not be able to exceed \"+tempConfig.ebs_burst_Throughput+\" MB/s. You should use gp3/io2 for this environment.] \";\n }\n \n if (1 * working_IOPS > tempConfig.ebs_baseline_IOPS + 2) {\n tempConfig.IOPS_warnings_burst =\n tempConfig.IOPS_warnings_burst +\n \"[Calculated gp2 baseline IOPS of \" +\n tempConfig.ebs_baseline_IOPS +\n \" is less than your desired \" +\n working_IOPS +\n \" IOPS (please confirm that the gp2 bursting profile fits your workload).] \";\n }\n\n tempConfig.ebs_burst_IOPS = Math.max(3000,tempConfig.ebs_baseline_IOPS);\n \n if (1 * working_IOPS > tempConfig.ebs_burst_IOPS +2) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert +\n \"[Calculated gp2 bursting IOPS of \" +\n tempConfig.ebs_burst_IOPS +\n \" is less than your desired \" +\n working_IOPS +\n \" IOPS (please switch to gp3 or io2).] \";\n }\n \n }\n if (1 * working_DiskSpace < 20) {\n tempConfig.iops_warnings_info =\n tempConfig.iops_warnings_info + \"[gp2 Disk Size must be at least 20 GB.] \";\n }\n if (1 * working_DiskSpace > 64000) {\n tempConfig.iops_warnings_alert =\n tempConfig.iops_warnings_alert + \"[gp2 Disk Size must be less than 64 TB.] \";\n }\n\n tempCost=(\n shapeCost +\n working_DiskSpace * regionInfo.rds_gp2_gb * mazFactor +\n Math.max(0, regionInfo.rds_backup_gb * (1 * rdsSnapshotSize - working_DiskSpace))\n );\n tempConfig.ebs_backup_cost = Math.max(0, regionInfo.rds_backup_gb * (1 * rdsSnapshotSize - working_DiskSpace));\n tempConfig.ebs_data_cost = working_DiskSpace * regionInfo.rds_gp2_gb * mazFactor;\n\n tempConfig.summaryText += \" Monthly \" +mazString+\" = [\" +\n rdsItemSelected.Name;\n if (tempConfig.rds_type==\"rac\") {\n tempConfig.summaryText += \" x \"+tempConfig.rac_nodes;\n } \n tempConfig.summaryText += \" \" + RIstring +\n \"] + [gp2 @ \" +\n working_DiskSpace +\n \" GB]\" +\n // \" + [additional \" +\n // Math.max(0, 1 * rdsSnapshotSize - working_DiskSpace).toFixed(0) +\n // \" GB of Snapshots]\"+\n \" = $\" +\n tempCost.toFixed(2);\n \n\n }\n\n\n\n \n //\n //\n // Finish up\n //\n //\n\n if (tempConfig.rds_type==\"se\") {\n \n } else if (tempConfig.rds_type==\"rac\") {\n tempConfig.summaryText += \" + \" +\n 0.5 * tempConfig.shape_optimize_vcpu * tempConfig.rac_nodes +\n \" Oracle Processor Licenses\";\n \n } else {\n tempConfig.summaryText += \" + \" +\n 0.5 * tempConfig.shape_optimize_vcpu * mazFactor +\n \" Oracle Processor Licenses\";\n }\n\n tempConfig.ebs_backup_summaryText1 =\n \"RDS Backup: First \" +\n working_DiskSpace +\n \" GB of backup storage is included (Free backup for up to 100% of provisioned storage). Estimated size of snapshots is \" +\n rdsSnapshotSize.toFixed(0) +\n \" GB.\";\n tempConfig.ebs_backup_summaryText2 =\n \"RDS Backup Monthly estimate (Additional \" +\n Math.max(0, 1 * rdsSnapshotSize - working_DiskSpace).toFixed(0) +\n \" GB)=$\" +\n Math.max(0, regionInfo.rds_backup_gb * (1 * rdsSnapshotSize - working_DiskSpace)).toFixed(\n 2\n );\n\n tempConfig.monthly_estimate=Math.round(tempCost*100)/100;\n\n\n\n\n\n \n \n // now finish up matchConfig stuff \n config.rds_shape = tempConfig.shape;\n config.targetconfig_rds = tempConfig;\n config.RDSbenefits = \"Agility, Ease of Management, Strong HA+DR+Security+Performance, Lower Overall Costs\";\n config.targetconfig_rds.closeness_string = rdsItemSelected.closeness_string;\n config.targetconfig_rds.match_string = rdsItemSelected.match_string;\n config.targetconfig_rds.gap_memory = rdsItemSelected.gap_memory;\n config.targetconfig_rds.gap_throughput = rdsItemSelected.gap_throughput ;\n config.targetconfig_rds.gap_iops = rdsItemSelected.gap_iops ;\n config.targetconfig_rds.gap_vcpu = rdsItemSelected.gap_vcpu ;\n\n \n \n \n \n //calculate surplus provisioning\n let multiplier = 1;\n if (tempConfig.rds_type==\"rac\") multiplier=1*tempConfig.rac_nodes;\n \n config.addlMaxVCPU = \"\";\n if ((tempConfig.shape_max_vcpu*multiplier - working_VCPU)>0) {\n config.addlMaxVCPU = \"additional \"+(tempConfig.shape_max_vcpu*multiplier - working_VCPU).toFixed(1)+\" VCPUs\";\n }\n config.addlOptimVCPU = \"\";\n if ((tempConfig.shape_optimize_vcpu*multiplier - working_VCPU)>0) {\n config.addlOptimVCPU = \"additional \"+(tempConfig.shape_optimize_vcpu*multiplier - working_VCPU).toFixed(1)+\" VCPUs\";\n }\n config.addlMemory = \"\";\n if ((tempConfig.shape_memory*multiplier - working_Memory)>0) {\n config.addlMemory = \"additional \"+(tempConfig.shape_memory*multiplier - working_Memory)+\" GB\";\n }\n // if (tempConfig.ebs_baseline_Throughput==undefined) {\n // if (tempConfig.ebs_data_type=='gp2') {\n // tempConfig.ebs_baseline_Throughput = Math.min(tempConfig.shape_throughput*multiplier,1000);\n // }\n // if (tempConfig.ebs_data_type=='gp3') {\n // tempConfig.ebs_baseline_Throughput = Math.min(tempConfig.shape_throughput*multiplier,4000);\n // }\n // if (tempConfig.ebs_data_type=='io1') {\n // tempConfig.ebs_baseline_Throughput = Math.min(tempConfig.shape_throughput*multiplier,4000);\n // }\n\n // } \n \n var combined_throughput = Math.min(tempConfig.shape_throughput*multiplier,tempConfig.ebs_burst_Throughput);\n var combined_basethroughput = Math.min( (tempConfig.ebs_baseline_Throughput>0) ? tempConfig.ebs_baseline_Throughput : tempConfig.ebs_burst_Throughput,\n ( (tempConfig.shape_baselinethroughput>0) ? tempConfig.shape_baselinethroughput : tempConfig.shape_throughput )*multiplier );\n // console.log(\"combined thru,base\", combined_throughput, combined_basethroughput);\n // console.log(\"thru, origThru\", working_Throughput, config.OrigThroughput);\n \n config.OrigthroughputtargetValues = \"\";\n config.OrigthroughputtargetLabels = \"\";\n config.ThroughputtargetValues = \"\";\n config.ThroughputtargetLabels = \"\";\n var ExadataDisplay=false;\n \n //is there Caching\n if (config.AdjustedThroughput) {\n config.OrigthroughputtargetLabels = config.OrigthroughputtargetLabels + \"TargetWithCaching:\";\n config.OrigthroughputtargetValues = config.OrigthroughputtargetValues + working_Throughput + \":\";\n config.ThroughputtargetLabels = config.ThroughputtargetLabels + \"TargetWithCaching:\";\n config.ThroughputtargetValues = config.ThroughputtargetValues + working_Throughput + \":\";\n }\n \n //is there no Exadata tuning?\n if ( (config.OrigThroughput*1 == config.Throughput*1) || ! ( (config.Exadata=='Yes')&&(config.smartscan_algo!='ss1') ) ) {\n config.OrigthroughputtargetLabels = config.OrigthroughputtargetLabels + \"Target:\";\n config.OrigthroughputtargetValues = config.OrigthroughputtargetValues + config.Throughput + \":\";\n config.ThroughputtargetLabels = config.ThroughputtargetLabels + \"Target:\"; //these may not be used in this scenario\n config.ThroughputtargetValues = config.ThroughputtargetValues + config.Throughput + \":\";\n \n } else {\n ExadataDisplay = true;\n config.OrigthroughputtargetLabels = config.OrigthroughputtargetLabels + \"TargetWithTuning:ExadataPreTuning:\";\n config.OrigthroughputtargetValues = config.OrigthroughputtargetValues + config.Throughput + \":\" + config.OrigThroughput + \":\" ;\n config.ThroughputtargetLabels = config.ThroughputtargetLabels + \"TargetWithTuning:\";\n config.ThroughputtargetValues = config.ThroughputtargetValues + config.Throughput + \":\";\n }\n //is there bursting\n if ((combined_basethroughput )>0 && (combined_basethroughput!=combined_throughput)) {\n if (!ExadataDisplay) {\n config.OrigthroughputtargetLabels = config.OrigthroughputtargetLabels + \"Baseline:Bursting\";\n config.OrigthroughputtargetValues = config.OrigthroughputtargetValues + combined_basethroughput+ \":\"+combined_throughput;\n } \n config.ThroughputtargetLabels = config.ThroughputtargetLabels + \"Baseline:Bursting\";\n config.ThroughputtargetValues = config.ThroughputtargetValues + combined_basethroughput+ \":\"+combined_throughput;\n } else {\n if (!ExadataDisplay) {\n config.OrigthroughputtargetLabels = config.OrigthroughputtargetLabels + \"Available\";\n config.OrigthroughputtargetValues = config.OrigthroughputtargetValues + combined_throughput;\n } \n config.ThroughputtargetLabels = config.ThroughputtargetLabels + \"Available\";\n config.ThroughputtargetValues = config.ThroughputtargetValues + combined_throughput;\n \n }\n \n // console.log(config.OrigthroughputtargetLabels, config.OrigthroughputtargetValues, config.ThroughputtargetLabels, config.ThroughputtargetValues );\n \n/* \n // console.log(\"dave1110a\",config.OrigThroughput , working_Throughput);\n if ((combined_basethroughput )>0 && (combined_basethroughput!=combined_throughput)) {\n if ( (config.OrigThroughput*1 == working_Throughput*1) || ! ( (config.Exadata=='Yes')&&(config.smartscan_algo!='ss1') ) ) {\n config.OrigthroughputtargetValues = \"\"+working_Throughput+\":\"+ combined_basethroughput+ \":\"+combined_throughput ;\n config.OrigthroughputtargetLabels = \"Target:Baseline:Bursting\";\n if (config.AdjustedThroughput) {\n config.OrigthroughputtargetLabels = \"Target:AdjustedTarget:Baseline:Bursting\";\n config.OrigthroughputtargetValues = \"\"+ config.Throughput + \":\" + working_Throughput+\":\"+ combined_basethroughput+ \":\"+combined_throughput ;\n } \n } else { \n // this is the pre-adjustment graph (original Exadata)\n config.OrigthroughputtargetValues = \"\"+config.OrigThroughput+\":\"+ \":\" ;\n config.OrigthroughputtargetLabels = \"Exadata:Baseline:Bursting\";\n } \n } else {\n if ( (config.OrigThroughput*1 == working_Throughput*1) || ! ( (config.Exadata=='Yes')&&(config.smartscan_algo!='ss1') ) ) {\n config.OrigthroughputtargetValues = \"\"+working_Throughput+\":\"+ combined_throughput+ \":\" ;\n config.OrigthroughputtargetLabels = \"Target:Available:Bursting\";\n if (config.AdjustedThroughput) {\n config.OrigthroughputtargetLabels = \"Target:AdjustedTarget:Available\";\n config.OrigthroughputtargetValues = \"\"+ config.Throughput + \":\" + working_Throughput+ \":\"+combined_throughput ;\n }\n } else {\n config.OrigthroughputtargetValues = \"\"+config.OrigThroughput+\":\"+ \":\" ;\n config.OrigthroughputtargetLabels = \"Exadata:Available:Bursting\";\n } \n }\n config.ThroughputtargetValues = \"\";\n config.ThroughputtargetLabels = \"\";\n if ((combined_basethroughput )>0 && (combined_basethroughput!=combined_throughput)) {\n config.ThroughputtargetValues = \"\"+working_Throughput+\":\"+ combined_basethroughput+ \":\"+combined_throughput ;\n // Adjusted Target - ${(row.item.Throughput*1).toFixed(0)}:Baseline:Bursting\n config.ThroughputtargetLabels = \"New Target - \" + (working_Throughput*1).toFixed(0)+\":Baseline:Bursting\";\n } else {\n config.ThroughputtargetValues = \"\"+working_Throughput+\":\"+ combined_throughput+ \":\" ;\n config.ThroughputtargetLabels = \"New Target - \" + (working_Throughput*1).toFixed(0)+\":Available:Bursting\";\n }\n*/ \n \n\n var combined_IOPS = Math.min(tempConfig.shape_IOPS*multiplier,tempConfig.ebs_burst_IOPS);\n var combined_baseIOPS = Math.min( (tempConfig.ebs_baseline_IOPS>0) ? tempConfig.ebs_baseline_IOPS : tempConfig.ebs_burst_IOPS,\n ( (tempConfig.shape_baselineIOPS>0) ? tempConfig.shape_baselineIOPS : tempConfig.shape_IOPS )*multiplier );\n // console.log(\"combined IOPS,base\", combined_IOPS, combined_baseIOPS);\n // console.log(\"IOPS, origIOPS\", working_IOPS, config.OrigIOPS);\n if (tempConfig.ebs_burst_IOPS == tempConfig.ebs_baseline_IOPS) tempConfig.ebs_baseline_IOPS='';\n \n config.OrigIOPStargetValues = \"\";\n config.OrigIOPStargetLabels = \"\";\n config.IOPStargetValues = \"\";\n config.IOPStargetLabels = \"\";\n ExadataDisplay=false;\n \n //is there Caching\n if (config.AdjustedIOPS) {\n config.OrigIOPStargetLabels = config.OrigIOPStargetLabels + \"TargetWithCaching:\";\n config.OrigIOPStargetValues = config.OrigIOPStargetValues + working_IOPS + \":\";\n config.IOPStargetLabels = config.IOPStargetLabels + \"TargetWithCaching:\";\n config.IOPStargetValues = config.IOPStargetValues + working_IOPS + \":\";\n }\n \n //is there no Exadata tuning?\n if ( (config.OrigIOPS*1 == config.IOPS*1) || ! ( (config.Exadata=='Yes')&&(config.smartscan_algo!='ss1') ) ) {\n config.OrigIOPStargetLabels = config.OrigIOPStargetLabels + \"Target:\";\n config.OrigIOPStargetValues = config.OrigIOPStargetValues + config.IOPS + \":\";\n config.IOPStargetLabels = config.IOPStargetLabels + \"Target:\"; //these may not be used in this scenario\n config.IOPStargetValues = config.IOPStargetValues + config.IOPS + \":\";\n \n } else {\n ExadataDisplay = true;\n config.OrigIOPStargetLabels = config.OrigIOPStargetLabels + \"TargetWithTuning:ExadataPreTuning:\";\n config.OrigIOPStargetValues = config.OrigIOPStargetValues + config.IOPS + \":\" + config.OrigIOPS + \":\" ;\n config.IOPStargetLabels = config.IOPStargetLabels + \"TargetWithTuning:\";\n config.IOPStargetValues = config.IOPStargetValues + config.IOPS + \":\";\n }\n //is there bursting\n if ((combined_baseIOPS )>0 && (combined_baseIOPS!=combined_IOPS)) {\n if (!ExadataDisplay) {\n config.OrigIOPStargetLabels = config.OrigIOPStargetLabels + \"Baseline:Bursting\";\n config.OrigIOPStargetValues = config.OrigIOPStargetValues + combined_baseIOPS+ \":\"+combined_IOPS;\n } \n config.IOPStargetLabels = config.IOPStargetLabels + \"Baseline:Bursting\";\n config.IOPStargetValues = config.IOPStargetValues + combined_baseIOPS+ \":\"+combined_IOPS;\n } else {\n if (!ExadataDisplay) {\n config.OrigIOPStargetLabels = config.OrigIOPStargetLabels + \"Available\";\n config.OrigIOPStargetValues = config.OrigIOPStargetValues + combined_IOPS;\n } \n config.IOPStargetLabels = config.IOPStargetLabels + \"Available\";\n config.IOPStargetValues = config.IOPStargetValues + combined_IOPS;\n \n }\n \n // console.log(config.OrigIOPStargetLabels, config.OrigIOPStargetValues, config.IOPStargetLabels, config.IOPStargetValues ); \n \n /* \n config.OrigIOPStargetValues = \"\";\n config.OrigIOPStargetLabels = \"\";\n if ((combined_baseIOPS )>0 && (combined_baseIOPS!=combined_IOPS)) {\n if ( (config.OrigIOPS*1 == working_IOPS*1) || ! ( (config.Exadata=='Yes')&&(config.smartscan_algo!='ss1') ) ) {\n config.OrigIOPStargetValues = \"\"+working_IOPS+\":\"+ combined_baseIOPS+ \":\"+combined_IOPS ;\n config.OrigIOPStargetLabels = \"Target:Baseline:Bursting\";\n } else { \n config.OrigIOPStargetValues = \"\"+config.OrigIOPS+\":\"+ \":\" ;\n config.OrigIOPStargetLabels = \"Target:Baseline:Bursting\";\n } \n } else {\n if ( (config.OrigIOPS*1 == working_IOPS*1) || ! ( (config.Exadata=='Yes')&&(config.smartscan_algo!='ss1') ) ) {\n config.OrigIOPStargetValues = \"\"+working_IOPS+\":\"+ combined_IOPS+ \":\" ;\n config.OrigIOPStargetLabels = \"Target:Available:Bursting\";\n } else { \n config.OrigIOPStargetValues = \"\"+config.OrigIOPS+\":\"+ \":\" ;\n config.OrigIOPStargetLabels = \"Target:Available:Bursting\";\n }\n }\n config.IOPStargetValues = \"\";\n config.IOPStargetLabels = \"\";\n if ((combined_baseIOPS )>0 && (combined_baseIOPS!=combined_IOPS)) {\n config.IOPStargetValues = \"\"+working_IOPS+\":\"+ combined_baseIOPS+ \":\"+combined_IOPS ;\n config.IOPStargetLabels = \"New Target - \" + (working_IOPS*1).toFixed(0)+\":Baseline:Bursting\";\n } else {\n config.IOPStargetValues = \"\"+working_IOPS+\":\"+ combined_IOPS+ \":\" ;\n config.IOPStargetLabels = \"New Target - \" + (working_IOPS*1).toFixed(0)+\":Available:Bursting\";\n }\n // console.log(\"dave1110\",tempConfig.ebs_burst_IOPS, config.IOPStargetValues);\n*/\n\n config.addlThroughput = \"\";\n if ((combined_throughput - working_Throughput)>0) {\n config.addlThroughput = \"additional \"+(combined_throughput - working_Throughput)+\" MB/s\";\n } \n config.addlBaselineThroughput = \"\";\n if ((combined_basethroughput - working_Throughput)>0) {\n config.addlBaselineThroughput = \"additional \"+(combined_basethroughput - working_Throughput)+\" MB/s\";\n }\n config.addlBaselineIOPS = \"\";\n if ((combined_baseIOPS - working_IOPS)>0) {\n config.addlBaselineIOPS = \"additional \"+(combined_baseIOPS - working_IOPS)+\" IOPS\";\n }\n config.addlBurstIOPS = \"\";\n if ((combined_IOPS - working_IOPS)>0) {\n config.addlBurstIOPS = \"additional \"+(combined_IOPS - working_IOPS)+\" IOPS\";\n }\n \n }\n\n //set PostgreSQL suggestion\n config.extraInfo = \"\";\n if (1*config.COUNT_LINES_PLSQL*1<20000) {\n config.extraInfo = \"Suggestion: This database does not have much PL/SQL. Have you considered converting it to Aurora PostgreSQL?\";\n }\n\n //set SE2 suggestion\n //strip out SE2-LI if any\n if (config.SE2_Comments==undefined) config.SE2_Comments=\"\";\n if (config.SE2_Comments.indexOf(\"[SE2-LI\")>=0) {\n config.SE2_Comments = config.SE2_Comments.slice(0,config.SE2_Comments.indexOf(\"[SE2-LI\"));\n } \n var SE2string=\"\";\n // if you change any of these values below, be sure to also change them in Batch.vue and Metrics.vue\n if (working_VCPU*1>16) { SE2string+= \" VCPU>16\"; }\n if (working_Throughput*1>1250) { SE2string+= \" Throughput>1250\"; }\n if (working_IOPS*1>40000) { SE2string+= \" IOPS>40000\"; }\n if (working_Memory*1>128) { SE2string+= \" Memory>128\"; } \n config.considerSE2 = \"\";\n if ((config.SE2=='Yes') && (SE2string==\"\")) {\n config.considerSE2=\"Yes\";\n } else {\n if (SE2string!=\"\") {\n config.SE2_Comments+=\" [SE2-LI ruled out because \"+SE2string+\"]\";\n } \n }\n config.extraInfo2 = config.SE2_Comments;\n\n\n\n return config;\n }\n\n\n\n\n\n\n\nexport {pick_rds_shape};\nexport {pick_rac_shape};\nexport {calculate_rds_config};\n","\n\n\n\n\n\nfunction pick_aurora_shape(regionInfo, config) {\n\n\n\n// regionInfo.shapes = array of different Aurora Shapes to consider\n// config = details about the target values and other properties of the database\n\n\n\n var working_IOPS = config.IOPS;\n var working_VCPU = config.VCPU;\n var working_Memory = config.Memory;\n var working_Throughput = config.Throughput;\n var working_DiskSpace = config.DiskSpace;\n\n // set working_IOPS equal to config.AdjustedIOPS if it exists else set it to config.IOPS\n if (config.AdjustedIOPS) {\n working_IOPS = config.AdjustedIOPS;\n }\n if (config.AdjustedMemory) {\n working_Memory = config.AdjustedMemory;\n // console.log(\"pick_rds_shape\", \"Using AdjustedMemory\", working_Memory);\n }\n if(config.AdjustedThroughput) {\n working_Throughput = config.AdjustedThroughput;\n }\n if (config.AdjustedVCPU) {\n working_VCPU = config.AdjustedVCPU;\n }\n\n\n //Now work on Aurora\n // console.log(\"pick_aurora_shaoe\");\n\n var auroraItems = regionInfo.shapes;\n\n function auroraCompareCost(a, b) {\n // Use toUpperCase() to ignore character casing\n const itemA = ((config.UseRI=='RI') && a.AuroraPG1yrNURI * 1 > 0 ? a.AuroraPG1yrNURI*1 : a.AuroraPGOD*1) * 10000 + a.VCPU*1;\n const itemB = ((config.UseRI=='RI') && b.AuroraPG1yrNURI * 1 > 0 ? b.AuroraPG1yrNURI*1 : b.AuroraPGOD*1) * 10000 + b.VCPU*1;\n\n let comparison = 0;\n if (itemA > itemB) {\n comparison = 1;\n } else if (itemA < itemB) {\n comparison = -1;\n } else if (itemA == itemB) {\n // final sort is by Name in REVERSE order. This should make r6i.xlarge appear ahead of r5.xlarge\n if (a.Name > b.Name) {\n comparison = -1;\n } else if (a.Name < b.Name) {\n comparison = 1;\n }\n }\n return comparison;\n }\n auroraItems.sort(auroraCompareCost);\n \n //Now work on Aurora\n var auroraSelected = null;\n let closeness = -999;\n let closeness_string = \"\";\n let match_string = \"\";\n \n let gap_memory= 0;\n let gap_network= 0;\n let gap_vcpu= 0;\n \n for (var bii = 0; bii < auroraItems.length; bii++) {\n\n if (auroraItems[bii].AuroraPGOD*1>0) {\n // decide if we want to include T shapes. \n // maybe if the algo is to use OptimizeIO then ensure we have OptimizeIO pricing for that shape\n // (config.frozen_prefs.aurora_algo!=\"auro5\" || auroraItems[bii].AuroraPGOptimOD*1>0 )\n //skip over shapes we don't want to use\n if (\n config.frozen_prefs.tshape_algo == \"N\" &&\n auroraItems[bii].Name.substring(0, 1) == \"t\"\n ) {\n // console.log(\"skipping T shape\",auroraItems[bii].Name);\n } else if (\n config.frozen_prefs.nvme_shape_algo == \"Y\" &&\n ( !auroraItems[bii].InstanceStorage || ( auroraItems[bii].InstanceStorage == \"EBS only\" ) )\n ) {\n // console.log(\"skipping non-localNVME shape\",auroraItems[bii].Name);\n } else if (\n config.frozen_prefs.aurora_algo!=\"auro5\" &&\n !( auroraItems[bii].AuroraPGOptimOD*1>0 )\n ) {\n // console.log(\"shape is not available for OptimizedIO\",auroraItems[bii].Name);\n } else\n {\n \n \n match_string = `db.${auroraItems[bii].Name} with ${auroraItems[bii].VCPU} VCPU, ${auroraItems[bii].Memory} GB, ${(auroraItems[bii].Network / 8).toFixed(0)} Network MB/s`;\n if (config.frozen_prefs.nvme_shape_algo == \"Y\") {\n match_string += `, ${auroraItems[bii].InstanceStorage}`;\n }\n \n //TODO: have flag to choose or not choose t* shapes\n if (\n auroraItems[bii].VCPU * 1 >= working_VCPU * 1 &&\n auroraItems[bii].Memory * 1 >= working_Memory * 1 &&\n auroraItems[bii].Network / 8 >= working_Throughput * 1\n ) {\n //check if we can use T shapes\n // console.log(\"substr: \"+auroraItems[bii].Name.substring(0,4));\n \n auroraSelected = auroraItems[bii];\n // console.log(\"Submit: found aurora match:\"+auroraItems.Name)\n break;\n \n } else {\n //the shape was not selected.\n let new_closeness = Math.min((auroraItems[bii].VCPU * 1 - working_VCPU * 1) / auroraItems[bii].VCPU,0) +\n Math.min((auroraItems[bii].Memory * 1 - working_Memory * 1 ) / auroraItems[bii].Memory,0) +\n Math.min((auroraItems[bii].Network /8 - working_Throughput * 1 ) / (auroraItems[bii].Network / 8),0) ;\n\n \n if (new_closeness > closeness) {\n gap_memory= Math.max((working_Memory * 1 ) - auroraItems[bii].Memory * 1 ,0);\n gap_network= Math.max((working_Throughput * 1 ) - auroraItems[bii].Network /8 ,0);\n // console.log(\"network\", working_Throughput, auroraItems[bii].Network, gap_network);\n gap_vcpu= Math.max((working_VCPU * 1 ) - auroraItems[bii].VCPU * 1 ,0);\n // closeness_string = `Next closest match: db.${auroraItems[bii].Name} with ${auroraItems[bii].VCPU} VCPU, ${auroraItems[bii].Memory} GB, ${(auroraItems[bii].Network / 8).toFixed(0)} Network MB/s`;\n closeness_string = `Next closest match: db.${auroraItems[bii].Name} with ${auroraItems[bii].VCPU} VCPU${(gap_vcpu>0) ? \" (short \"+gap_vcpu.toFixed(1)+\" VCPU)\" : \"\"}, ${auroraItems[bii].Memory} GB${(gap_memory>0) ? \" (short \"+gap_memory+\" GB)\" : \"\"}, ${auroraItems[bii].Network / 8} Network MB/s${(gap_network>0) ? \" (short \"+gap_network+\" MB/s)\" : \"\"}`;\n \n closeness=new_closeness;\n }\n }\n } \n } //end if (auroraItems[bii].AuroraPGOD*1>0) { \n } //end loop\n \n\n // console.log(match_string);\n // console.log(\"RDS\", closeness_string);\n if (auroraSelected==null) {\n auroraSelected = { Name: null};\n }\n\n auroraSelected.closeness_string = closeness_string;\n auroraSelected.match_string = match_string;\n auroraSelected.aurora_gap_memory = gap_memory;\n auroraSelected.aurora_gap_network = gap_network;\n auroraSelected.aurora_gap_vcpu = gap_vcpu;\n return auroraSelected;\n }\n\n\n\n\n\nfunction calculate_aurora_config(regionInfo, auroraItemSelected, config) {\n//based on matchConfig, line 2008\n//based on targetconfig_aurora() . line 3360\n\n// **************************\n// Aurora Configuration\n// **************************\n\n// auroraItemSelected = a document contain specific rdsItem (shape) and its details, closeness_string, and match_string\n// config = details about the target values and other properties of the database\n\n\n\n var working_IOPS = config.IOPS;\n var working_VCPU = config.VCPU;\n var working_Memory = config.Memory;\n var working_Throughput = config.Throughput;\n var working_DiskSpace = config.DiskSpace;\n\n // set working_IOPS equal to config.AdjustedIOPS if it exists else set it to config.IOPS\n if (config.AdjustedIOPS) {\n working_IOPS = config.AdjustedIOPS;\n }\n if (config.AdjustedMemory) {\n working_Memory = config.AdjustedMemory;\n // console.log(\"pick_rds_shape\", \"Using AdjustedMemory\", working_Memory);\n }\n if(config.AdjustedThroughput) {\n working_Throughput = config.AdjustedThroughput;\n }\n if (config.AdjustedVCPU) {\n working_VCPU = config.AdjustedVCPU;\n }\n\n // Step 2 - prepare additional fields describing the configuration \n \n \n //TODO hard code backup for now\n config.BackupType = 'none';\n config.Backup = '0';\n config.SnapshotDays = '1';\n\n\n if ((auroraItemSelected.Name == null)) {\n //if rds_shape==N/A, then don't pick an Aurora shape either\n // console.log(\"Submit: No matching Aurora found for \"+ config.database)\n // config.iomb_warnings = \"Y\";\n config.aurora_shape = \"N/A\";\n config.targetconfig_aurora = {\n summaryText: \"DBCSI's current logic is not able to auto-size this configuration for Aurora. Please reach out to your AWS Database Specialist for help.\",\n monthly_estimate: \"null\", \n shape: \"null\",\n shape_OD: \"null\",\n shape_RI: \"null\",\n shape_max_vcpu: \"null\",\n shape_optimize_vcpu: \"null\",\n requested_vcpu: \"null\",\n shape_memory: \"null\",\n requested_memory: \"null\",\n shape_throughput: \"null\",\n requested_throughput: \"null\",\n shape_summaryText: \"\",\n ebs_data_type: \"null\",\n ebs_data_size: \"null\",\n ebs_data_iops: \"\",\n ebs_data_summaryText1: \"\",\n ebs_data_summaryText2: \"\",\n backup_style: \"null\",\n ebs_backup_type: \"null\",\n ebs_backup_size: \"null\",\n ebs_backup_iops: \"\",\n ebs_backup_snap_size: \"\",\n ebs_backup_summaryText1: \"\",\n ebs_backup_summaryText2: \"\",\n license_summaryText: \"\",\n comments: \"\",\n warnings: \"No matching shape found\",\n closeness_string: auroraItemSelected.closeness_string,\n match_string: \"\"\n \n } ;\n } else if ((working_DiskSpace*1 > 128000)) {\n \n config.aurora_shape = auroraItemSelected.Name;\n config.targetconfig_aurora = {\n summaryText: \"Aurora does not currently support disk space > 128TB\",\n monthly_estimate: \"null\", \n shape: auroraItemSelected.Name,\n shape_OD: \"null\",\n shape_RI: \"null\",\n shape_max_vcpu: \"null\",\n shape_optimize_vcpu: \"null\",\n requested_vcpu: \"null\",\n shape_memory: \"null\",\n requested_memory: \"null\",\n shape_throughput: \"null\",\n requested_throughput: \"null\",\n shape_summaryText: \"\",\n ebs_data_type: \"null\",\n ebs_data_size: \"null\",\n ebs_data_iops: \"\",\n ebs_data_summaryText1: \"\",\n ebs_data_summaryText2: \"\",\n backup_style: \"null\",\n ebs_backup_type: \"null\",\n ebs_backup_size: \"null\",\n ebs_backup_iops: \"\",\n ebs_backup_snap_size: \"\",\n ebs_backup_summaryText1: \"\",\n ebs_backup_summaryText2: \"\",\n license_summaryText: \"\",\n comments: \"Aurora does not currently support disk space > 128TB\",\n warnings: \"Aurora does not currently support disk space > 128TB\",\n closeness_string: auroraItemSelected.closeness_string,\n match_string: auroraItemSelected.match_string\n \n } ;\n } else\n {\n\n\n // Step 2b - This is a fit for RDS. So, describe it\n \n\n var tempConfig = {\n summaryText: \"Select an Aurora Shape to continue...\",\n monthly_estimate: \"null\",\n shape: \"null\",\n shape_OD: \"null\",\n shape_RI: \"null\",\n shape_max_vcpu: \"null\",\n shape_optimize_vcpu: \"null\",\n requested_vcpu: \"null\",\n shape_memory: \"null\",\n requested_memory: \"null\",\n shape_throughput: \"null\",\n requested_throughput: \"null\",\n shape_summaryText: \"\",\n shape_cost: \"\",\n ebs_data_type: \"null\",\n ebs_data_size: \"null\",\n ebs_data_iops: \"\",\n ebs_data_summaryText1: \"\",\n ebs_data_summaryText2: \"\",\n ebs_data_cost: \"\",\n // \"backup_style\" : \"null\",\n // \"ebs_backup_type\" : \"null\",\n // \"ebs_backup_size\" : \"null\",\n // \"ebs_backup_iops\" : \"\",\n ebs_backup_snap_size: \"\",\n ebs_backup_summaryText1: \"\",\n ebs_backup_summaryText2: \"\",\n ebs_backup_cost: \"\",\n iops_summaryText1: \"\",\n iops_summaryText2: \"\",\n license_summaryText: \"\",\n comments: \"\",\n iomb_warnings: \"\",\n cpu_warnings: \"\",\n iops_warnings: \"\",\n UseMAZ: \"No\",\n UseSE2: \"No\"\n };\n\n\n tempConfig.shape = auroraItemSelected.Name;\n tempConfig.InstanceStorage = auroraItemSelected.InstanceStorage;\n tempConfig.shape_OD = auroraItemSelected.AuroraPGOD;\n tempConfig.shape_RI = auroraItemSelected.AuroraPG1yrNURI;\n tempConfig.shape_max_vcpu = auroraItemSelected.VCPU;\n tempConfig.shape_optimize_vcpu = auroraItemSelected.VCPU;\n tempConfig.requested_vcpu = working_VCPU;\n tempConfig.requested_memory = working_Memory;\n tempConfig.shape_memory = auroraItemSelected.Memory;\n tempConfig.requested_throughput = working_Throughput;\n tempConfig.shape_throughput = auroraItemSelected.Throughput;\n tempConfig.shape_network = auroraItemSelected.Network;\n tempConfig.shape_baseline_network = auroraItemSelected.baseline_Network;\n tempConfig.ebs_data_type = config.VolumeType;\n tempConfig.ebs_data_size = working_DiskSpace;\n // tempConfig.comments = this.comments.Aurora;\n if (typeof tempConfig.comments === \"undefined\") {\n tempConfig.comments = \"\";\n }\n tempConfig.UseMAZ = config.UseMAZ;\n tempConfig.RIused=\"OD\";\n \n if ((working_DiskSpace*1 > 128000) ) {\n \n tempConfig.comments = tempConfig.comments + \"[Aurora does not currently support disk space > 128TB] \";\n \n if ((tempConfig.diskspace_warnings==undefined) || (tempConfig.diskspace_warnings.indexOf(\"Aurora does not currently support disk space\")==-1)) {\n tempConfig.diskspace_warnings = tempConfig.diskspace_warnings + \"[Aurora does not currently support disk space > 128TB] \";\n } \n } \n\n if (1 * tempConfig.requested_vcpu > 1 * tempConfig.shape_max_vcpu) {\n tempConfig.cpu_warnings =\n tempConfig.cpu_warnings +\n \"The shape \" +\n tempConfig.shape +\n \" does not have \" +\n tempConfig.requested_vcpu +\n \" VCPUs. \";\n }\n if (1 * tempConfig.requested_memory > 1 * tempConfig.shape_memory) {\n tempConfig.cpu_warnings =\n tempConfig.cpu_warnings +\n \"The shape \" +\n tempConfig.shape +\n \" does not have \" +\n tempConfig.requested_memory +\n \" GB of memory. \";\n }\n if (\n 1 * tempConfig.requested_throughput >\n 1 * tempConfig.shape_network / 8\n ) {\n tempConfig.iomb_warnings =\n tempConfig.iomb_warnings +\n \"The shape \" +\n tempConfig.shape +\n \" does not support \" +\n tempConfig.requested_throughput +\n \" MB/s of Network throughput. \";\n }\n if (\n 1 * tempConfig.requested_throughput >\n 1 * tempConfig.shape_baseline_network / 8\n ) {\n tempConfig.iomb_warnings =\n tempConfig.iomb_warnings +\n \"The shape \" +\n tempConfig.shape +\n \" has baseline Network throughput of \" +\n (tempConfig.shape_baseline_network/8).toFixed(0) +\n \"MB/s, which is less than the target of \" +\n tempConfig.requested_throughput +\n \" MB/s of Network throughput. \";\n }\n \n var useIOoptimized = false;\n \n if (config.frozen_prefs.aurora_algo==\"auro5\") {\n if (auroraItemSelected.AuroraPGOptimOD*1>0) {\n // we are good to use OptimIO mode\n // console.log(\"Pricing using Aurora I/O-Optimized mode. \");\n useIOoptimized = true;\n } else {\n console.log(\"This shape does not offer Aurora I/O-Optimized mode. \");\n useIOoptimized = false;\n } \n //todo : maybe add more logic on when it is OK to use AuroraIOoptimized? Is it available for all instances? Is it available in all regions? Circle back once officially launched.\n }\n\n var shapeCost = 0;\n var mazString = \"\";\n var mazFactor = 1.0;\n if (tempConfig.UseMAZ==\"Yes\") {\n mazString=\" (2 instances: Primary and Replica)\";\n mazFactor = 2.0;\n }\n if ((config.UseRI=='RI') && tempConfig.shape_RI > 0) {\n shapeCost = tempConfig.shape_RI * 730 * mazFactor;\n tempConfig.shape_summaryText = \"Aurora Compute\";\n \n if (useIOoptimized) {\n // shapeCost = auroraItemSelected.AuroraPGOptim1yrNURI * 730 * mazFactor;\n // just multiply regular RI by 1.3\n shapeCost = shapeCost * 1.3;\n \n tempConfig.shape_summaryText = \"Aurora IO-Optimized Compute\";\n }\n \n tempConfig.shape_summaryText += mazString+\" Monthly estimate (using 1-year Reserved Instance pricing for Aurora PostgreSQL): $\" +\n shapeCost.toFixed(2);\n tempConfig.RIused=\"RI\";\n } else {\n shapeCost = tempConfig.shape_OD * 730 * mazFactor;\n tempConfig.shape_summaryText = \"Aurora Compute\";\n\n if (useIOoptimized) {\n shapeCost = auroraItemSelected.AuroraPGOptimOD * 730 * mazFactor;\n \n tempConfig.shape_summaryText = \"Aurora IO-Optimized Compute\";\n }\n\n tempConfig.shape_summaryText += mazString+\" Monthly estimate (using On-Demand pricing for Aurora PostgreSQL): $\" +\n shapeCost.toFixed(2);\n }\n tempConfig.shape_cost = shapeCost;\n\n var auroraSnapshotSize =\n ((config.Backup * 60 * 60 * 24) / 1024) * config.SnapshotDays +\n working_DiskSpace * 0.7;\n // assume some factor (0.7?) for initial backup because RDS says most customers don't need backup space with RDS, so it must be less than 1.0. Maybe accounts for allocated but unused blocks\n\n tempConfig.ebs_data_summaryText1 =\n \"Aurora Storage: \" + working_DiskSpace + \" GB\";\n \n var storageSpaceCost = 0;\n \n if (useIOoptimized) { \n storageSpaceCost = working_DiskSpace * regionInfo.aurora_gb_optim;\n tempConfig.ebs_data_summaryText2 =\n \"Aurora I/O-Optimized Storage Monthly estimate: $\" +\n (storageSpaceCost).toFixed(2);\n \n } else {\n storageSpaceCost = working_DiskSpace * regionInfo.aurora_gb;\n tempConfig.ebs_data_summaryText2 =\n \"Aurora Storage Monthly estimate: $\" +\n (storageSpaceCost).toFixed(2);\n \n } \n\n if (1 * working_DiskSpace > 128000) {\n tempConfig.warnings =\n tempConfig.warnings + \"Aurora Disk Size must be less than 128 TB. \";\n }\n\n // throughput (in terms of 8K pages), divided by 10 to convert peaks to averages, then multiplied out to a month.\n // var monthly_iops = (config.Throughput * 1024) / 8 / 10 * 3600 * 730;\n var monthly_iops = (tempConfig.requested_throughput * 1024) / 8 / 10 * 3600 * 730;\n var iops_cost = 0;\n var ios_persecond = 0;\n if ((config.frozen_prefs.aurora_algo==\"auro2\")||(config.frozen_prefs.aurora_algo==\"auro1\")) {\n //25% of tempConfig.shape_OD * 730\n iops_cost=tempConfig.shape_OD * 730 * 0.25;\n monthly_iops=iops_cost/regionInfo.aurora_io;\n //calculate per second as an integer, so that it is easier to re-enter into pricing calculator\n ios_persecond=Math.ceil(monthly_iops/(730 * 60 * 60 ));\n monthly_iops=ios_persecond*730*60*60;\n iops_cost=monthly_iops*regionInfo.aurora_io;\n\n tempConfig.iops_summaryText1 =\n \"Aurora IO costs: (estimated \"+ios_persecond+\" IOs per second, based on 25% of on-demand compute cost of \"+tempConfig.shape+\")\";\n tempConfig.iops_summaryText2 =\n \"Aurora IO costs Monthly estimate: $\" +\n (iops_cost).toFixed(2);\n tempConfig.ebs_data_iops = monthly_iops;\n tempConfig.storage_assumptions = \"Aurora Storage IO costs are estimated as being 25% the cost of the on-demand cost of the chosen Aurora instance shape.\";\n } else if (config.frozen_prefs.aurora_algo==\"auro3\") {\n //35% of tempConfig.shape_OD * 730\n iops_cost=tempConfig.shape_OD * 730 * 0.35;\n monthly_iops=iops_cost/regionInfo.aurora_io;\n //calculate per second as an integer, so that it is easier to re-enter into pricing calculator\n ios_persecond=Math.ceil(monthly_iops/(730 * 60 * 60 ));\n monthly_iops=ios_persecond*730*60*60;\n iops_cost=monthly_iops*regionInfo.aurora_io;\n \n tempConfig.iops_summaryText1 =\n \"Aurora IO costs: (estimated \"+ios_persecond+\" IOs per second, based 35% of on-demand compute cost of \"+tempConfig.shape+\")\";\n tempConfig.iops_summaryText2 =\n \"Aurora IO costs Monthly estimate: $\" +\n (iops_cost).toFixed(2);\n tempConfig.ebs_data_iops = monthly_iops;\n } else if (config.frozen_prefs.aurora_algo==\"auro4\") { //auro4\n \n //calculate per second as an integer, so that it is easier to re-enter into pricing calculator\n ios_persecond=Math.ceil(monthly_iops/(730 * 60 * 60 ));\n monthly_iops=ios_persecond*730*60*60;\n iops_cost=monthly_iops*regionInfo.aurora_io;\n\n tempConfig.iops_summaryText1 =\n \"Aurora IOs: \" +\n (monthly_iops / 1000000).toFixed(2) +\n \" million IO requests per month (based on \" +\n ios_persecond +\n \" IO requests per second)\";\n tempConfig.iops_summaryText2 =\n \"Aurora IO costs Monthly estimate: $\" +\n (iops_cost).toFixed(2);\n tempConfig.ebs_data_iops = monthly_iops; \n tempConfig.storage_assumptions = \"Aurora Storage IO costs are roughly estimated based on estimating the number of IOs by taking the peak Throughput target divided by 10 (to roughly convert peak to average) and then dividing by 8KB page sizes.\";\n \n } else { //auro5 - I/O Optimized\n iops_cost=0;\n tempConfig.iops_summaryText1 =\n \"Priced using Aurora IO-Optimized mode\";\n tempConfig.iops_summaryText2 =\n \"Aurora IO-Optimized mode\";\n tempConfig.ebs_data_iops = 0; \n tempConfig.storage_assumptions = \"Aurora Storage IO costs are estimated assuming the use of the Aurora I/O-Optimized deployment mode.\";\n \n }\n\n var tempCost = shapeCost +\n storageSpaceCost +\n Math.max(0, regionInfo.aurora_backup * (1 * auroraSnapshotSize - working_DiskSpace)) +\n iops_cost;\n tempConfig.ebs_backup_cost = Math.max(0, regionInfo.aurora_backup * (1 * auroraSnapshotSize - working_DiskSpace));\n tempConfig.ebs_data_cost = storageSpaceCost + iops_cost;\n\n if (useIOoptimized) {\n tempConfig.summaryText =\n \"Aurora-PostgreSQL\"+mazString+\" Monthly = [\" +\n auroraItemSelected.Name +\n \"] + [Aurora Storage @ \" +\n working_DiskSpace +\n \" GB] + \" +\n \" [using I/O Optimized mode]\" +\n \" = $\" +\n (tempCost).toFixed(2);\n \n } else {\n tempConfig.summaryText =\n \"Aurora-PostgreSQL\"+mazString+\" Monthly = [\" +\n auroraItemSelected.Name +\n \"] + [Aurora Storage @ \" +\n working_DiskSpace +\n \" GB] + \" +\n \" [Aurora IOs @ \" +\n ios_persecond +\n \" requests/second] \" +\n // \"+ [additional \" +\n // Math.max(0, 1 * auroraSnapshotSize - working_DiskSpace).toFixed(0) +\n // \" GB of Snapshots]\" +\n \" = $\" +\n (tempCost).toFixed(2);\n } \n\n tempConfig.ebs_backup_summaryText1 =\n \"Aurora Backup: First \" +\n working_DiskSpace +\n \" GB of backup storage is included (Free backup for up to 100% of provisioned storage). Estimated size of snapshots is \" +\n auroraSnapshotSize.toFixed(0) +\n \" GB.\";\n tempConfig.ebs_backup_summaryText2 =\n \"Aurora Backup Monthly estimate (Additional \" +\n Math.max(0, 1 * auroraSnapshotSize - working_DiskSpace).toFixed(0) +\n \" GB): $\" +\n Math.max(\n 0,\n regionInfo.aurora_backup * (1 * auroraSnapshotSize - working_DiskSpace)\n ).toFixed(2);\n tempConfig.ebs_backup_snap_size = 1 * auroraSnapshotSize - working_DiskSpace;\n \n tempConfig.monthly_estimate=Math.round(tempCost*100)/100;\n\n\n\n \n var target_aurora = tempConfig;\n // console.log(\"Submit: aurora=\" + target_aurora.summaryText);\n config.aurora_shape = target_aurora.shape;\n config.targetconfig_aurora = target_aurora;\n config.targetconfig_aurora.closeness_string = auroraItemSelected.closeness_string;\n config.targetconfig_aurora.match_string = auroraItemSelected.match_string;\n if (target_aurora.iomb_warnings != \"\") {\n // config.iomb_warnings = \"Y\";\n }\n }\n\n\n\n return config;\n }\n\n\nexport {pick_aurora_shape};\n\nexport {calculate_aurora_config};","// ***********************************\n// Metrics.vue\n// ***********************************\n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Metrics.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Metrics.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./Metrics.vue?vue&type=template&id=63ef17a5\"\nimport script from \"./Metrics.vue?vue&type=script&lang=js\"\nexport * from \"./Metrics.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',[_c('router-link',{attrs:{\"to\":{ name: 'Main'}}},[_vm._v(\"List\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Add'}}},[_vm._v(\"Add\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Profile' }}},[_vm._v(\"Share\")])],1),_c('div',{staticClass:\"container\"},[_c('b-alert',{attrs:{\"show\":_vm.showAlert,\"variant\":_vm.alertStyle}},[_vm._v(_vm._s(_vm.alertText)+\" \"),_c('div',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.showAlert && _vm.alertStyle=='success'),expression:\"showAlert && alertStyle=='success'\"}]},[_c('router-link',{attrs:{\"to\":{ name: 'Main' }}},[_vm._v(\"Click here to continue\")])],1)]),(!_vm.showAlert)?_c('b-card',{attrs:{\"header\":\"Add a single database\"}},[_vm._v(\" Switch to the \"),_c('router-link',{attrs:{\"to\":{ name: 'BatchAdd'}}},[_vm._v(\"add multiple databases in a single batch\")]),_vm._v(\" feature.\"),_c('br'),_c('br'),_vm._v(\" If you are looking to send an email to the customer, you can use this as a starting point:\"),_c('br'),_c('b-form-textarea',{attrs:{\"id\":\"textarea-plaintext\",\"value\":_vm.sampleEmail,\"rows\":\"8\",\"size\":\"sm\"}}),_c('br'),_c('br'),_c('b-list-group',[_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"First, select the type of database you are investigating.\")]),_c('p'),_c('b-form-select',{staticClass:\"mb-3\",model:{value:(_vm.selected),callback:function ($$v) {_vm.selected=$$v},expression:\"selected\"}},[_c('option',{attrs:{\"value\":\"null\"}},[_vm._v(\"Please select your database type\")]),_c('option',{attrs:{\"value\":\"ora_v1\"}},[_vm._v(\"Oracle Enterprise Edition with Diagnostics Pack\")]),_c('option',{attrs:{\"value\":\"ora_stat_v1\"}},[_vm._v(\"Oracle Standard or Enterprise Edition with STATSPACK\")])])],1)]),_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"Second, download the data collection script for your database type.\")]),((_vm.selected=='ora_v1'))?_c('b-card',{attrs:{\"bg-variant\":\"light\"}},[_vm._v(\" Download the DBCSI Diagnostics Pack data collection script from \"),_c('a',{attrs:{\"href\":\"/aws_awr_miner.sql\",\"target\":\"_blank\"}},[_vm._v(\"here\")]),_vm._v(\". \")]):_vm._e(),((_vm.selected=='ora_stat_v1'))?_c('b-card',{attrs:{\"bg-variant\":\"light\"}},[_vm._v(\" Download the DBCSI STATSPACK data collection script from \"),_c('a',{attrs:{\"href\":\"/aws_statspack_miner.sql\",\"target\":\"_blank\"}},[_vm._v(\"here\")]),_vm._v(\". \")]):_vm._e(),((_vm.selected=='msft_v1'))?_c('b-card',{attrs:{\"bg-variant\":\"light\"}},[_vm._v(\" Download the Microsoft SQL Server data collection script from \"),_c('a',{attrs:{\"href\":\"/dbcsi_sqlserver.sql\",\"target\":\"_blank\"}},[_vm._v(\"here\")]),_vm._v(\". NOTE THAT SQL SERVER SUPPORT IS STILL A WORK-IN-PROGRESS. \")]):_vm._e()],1)]),_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"Third, run the script against your database; the script will generate an output file.\")]),((_vm.selected=='ora_v1'))?_c('b-card',{attrs:{\"bg-variant\":\"light\"}},[_vm._v(\"Instructions: Use sql*plus to run this script as a database user with the select_catalog_role (i.e. with SELECT privileges on the DBA_*, v$*, and gv$* tables/views). \"),_c('br')]):_vm._e(),((_vm.selected=='ora_stat_v1'))?_c('b-card',{attrs:{\"bg-variant\":\"light\"}},[_vm._v(\" At this point, you should have already installed STATSPACK in your database (typically by running $ORACLE_HOME/rdbms/admin/spcreate.sql) and setup automated regular STATSPACK data collection jobs (typically by running $ORACLE_HOME/rdbms/admin/spauto.sql, and do so on each instance if running RAC). For more details about STATSPACK, review $ORACLE_HOME/rdbms/admin/spdoc.txt \"),_c('br'),_c('br'),_vm._v(\" Instructions: Use sql*plus to run the data collection script as an user (such as PERFSTAT) who has access to the STATSPACK STATS$ tables and the data dictionary. \")]):_vm._e(),((_vm.selected=='msft_v1'))?_c('b-card',{attrs:{\"bg-variant\":\"light\"}},[_vm._v(\" Instructions: STAY TUNED. THIS INFORMATION TO BE UPDATED SHORTLY. \")]):_vm._e()],1)]),_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"Fourth, provide some additional details about your database and upload your data collection output file.\")]),(((_vm.selected=='ora_v1')||(_vm.selected=='ora_stat_v1')))?_c('b-card',{staticClass:\"text-left\",attrs:{\"bg-variant\":\"light\"}},[(_vm.show)?_c('b-form',{on:{\"submit\":_vm.onSubmit,\"reset\":_vm.onReset}},[_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup1\",\"label\":\"Database Name:\",\"label-for\":\"db_name\",\"description\":\"Human-friendly name for this database.\"}},[_c('b-form-input',{attrs:{\"id\":\"db_name\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter database name\"},model:{value:(_vm.form.db_name),callback:function ($$v) {_vm.$set(_vm.form, \"db_name\", $$v)},expression:\"form.db_name\"}})],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup4\",\"label\":\"Description:\",\"label-for\":\"descr\"}},[_c('b-form-textarea',{attrs:{\"id\":\"descr\",\"required\":\"\",\"placeholder\":\"Enter a description for this database. Describe applications supported by this database.\",\"rows\":3,\"max-rows\":6},model:{value:(_vm.form.descr),callback:function ($$v) {_vm.$set(_vm.form, \"descr\", $$v)},expression:\"form.descr\"}})],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup2\",\"label\":\"Customer Name:\",\"label-for\":\"customer\"}},[_c('b-form-input',{attrs:{\"id\":\"customer\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter customer name.\",\"list\":\"my-list-id\"},model:{value:(_vm.form.customer),callback:function ($$v) {_vm.$set(_vm.form, \"customer\", $$v)},expression:\"form.customer\"}}),_c('datalist',{attrs:{\"id\":\"my-list-id\"}},_vm._l((this.CustomerChoices),function(item){return _c('option',[_vm._v(_vm._s(item.value))])}),0)],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup5\",\"label\":\"Select the data collection output file to be uploaded.\",\"label-for\":\"output_file\"}},[_c('b-form-file',{ref:\"fileinput\",attrs:{\"id\":\"output_file\",\"state\":Boolean(_vm.output_file),\"required\":\"\",\"placeholder\":\"Choose a file... This must be the (unzipped) output file created by the DBCSI script. Do not upload an AWR Report.\"},on:{\"change\":_vm.onFileChange},model:{value:(_vm.output_file),callback:function ($$v) {_vm.output_file=$$v},expression:\"output_file\"}}),_c('b-alert',{attrs:{\"show\":_vm.showFileAlert,\"variant\":\"danger\"}},[_vm._v(_vm._s(_vm.alertFileText))]),_c('img',{attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"14px\"}}),_vm._v(\"Reminder: always use the most recent DBCSI data collection script (available to download above) for the latest features and fixes. \"),_c('br'),_c('img',{attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"14px\"}}),_vm._v(\"Tip: If you have multiple databases to upload, you can use the \"),_c('router-link',{attrs:{\"to\":{ name: 'BatchAdd'}}},[_vm._v(\"add multiple databases in a single batch\")]),_vm._v(\" feature.\"),_c('br'),_c('br')],1),_c('b-alert',{attrs:{\"variant\":\"danger\",\"show\":_vm.showSampleAlert}},[_vm._v(\"The \\\"sample\\\" user is not allowed to upload new databases. Please sign-out and create your own user.\")]),_c('b-button',{attrs:{\"type\":\"submit\",\"disabled\":_vm.showFileAlertError || _vm.showSampleAlert,\"variant\":\"primary\"}},[_vm._v(\"Submit\")]),_c('b-button',{attrs:{\"type\":\"reset\",\"variant\":\"danger\"}},[_vm._v(\"Reset\")])],1):_vm._e()],1):_vm._e(),(((_vm.selected=='msft_v1')))?_c('b-card',{staticClass:\"text-left\",attrs:{\"bg-variant\":\"light\"}},[(_vm.show)?_c('b-form',{on:{\"submit\":_vm.onSubmit,\"reset\":_vm.onReset}},[_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup1\",\"label\":\"Instance Name:\",\"label-for\":\"db_name\",\"description\":\"Human-friendly name for this instance.\"}},[_c('b-form-input',{attrs:{\"id\":\"db_name\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter instance name\"},model:{value:(_vm.form.db_name),callback:function ($$v) {_vm.$set(_vm.form, \"db_name\", $$v)},expression:\"form.db_name\"}})],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup4\",\"label\":\"Description:\",\"label-for\":\"descr\"}},[_c('b-form-textarea',{attrs:{\"id\":\"descr\",\"required\":\"\",\"placeholder\":\"Enter a description for this instance. Describe applications supported by this instance.\",\"rows\":3,\"max-rows\":6},model:{value:(_vm.form.descr),callback:function ($$v) {_vm.$set(_vm.form, \"descr\", $$v)},expression:\"form.descr\"}})],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup2\",\"label\":\"Customer Name:\",\"label-for\":\"customer\"}},[_c('b-form-input',{attrs:{\"id\":\"customer\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter customer name.\",\"list\":\"my-list-id\"},model:{value:(_vm.form.customer),callback:function ($$v) {_vm.$set(_vm.form, \"customer\", $$v)},expression:\"form.customer\"}}),_c('datalist',{attrs:{\"id\":\"my-list-id\"}},_vm._l((this.CustomerChoices),function(item){return _c('option',[_vm._v(_vm._s(item.value))])}),0)],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup5\",\"label\":\"Select the data collection output file to be uploaded.\",\"label-for\":\"output_file\"}},[_c('b-form-file',{ref:\"fileinput\",attrs:{\"id\":\"output_file\",\"state\":Boolean(_vm.output_file),\"required\":\"\",\"placeholder\":\"Choose a file... This must be the (unzipped) output file created by the DBCSI script.\"},on:{\"change\":_vm.onFileChange},model:{value:(_vm.output_file),callback:function ($$v) {_vm.output_file=$$v},expression:\"output_file\"}}),_c('b-alert',{attrs:{\"show\":_vm.showFileAlert,\"variant\":\"danger\"}},[_vm._v(_vm._s(_vm.alertFileText))])],1),_c('b-alert',{attrs:{\"variant\":\"danger\",\"show\":_vm.showSampleAlert}},[_vm._v(\"The \\\"sample\\\" user is not allowed to upload new databases. Please sign-out and create your own user.\")]),_c('b-button',{attrs:{\"type\":\"submit\",\"disabled\":_vm.showFileAlertError || _vm.showSampleAlert,\"variant\":\"primary\"}},[_vm._v(\"Submit\")]),_c('b-button',{attrs:{\"type\":\"reset\",\"variant\":\"danger\"}},[_vm._v(\"Reset\")])],1):_vm._e()],1):_vm._e()],1)])],1)],1):_vm._e()],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// ***********************************\n// Add.vue\n// ***********************************\n \n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Add.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Add.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./Add.vue?vue&type=template&id=b62b5dcc\"\nimport script from \"./Add.vue?vue&type=script&lang=js\"\nexport * from \"./Add.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('b-form',{on:{\"reset\":_vm.onReset}},[_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_vm._v(\" DBCSI Testcase Runner \")]),_c('b-card-body',[_c('b-form-group',{attrs:{\"label\":\"Test Cases:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\",\"options\":_vm.tests_lov},model:{value:(_vm.testcaseSelected),callback:function ($$v) {_vm.testcaseSelected=$$v},expression:\"testcaseSelected\"}})],1),_c('div',[_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"button\",\"title\":\"Run selected testcase.\",\"block\":\"\",\"variant\":\"outline-primary\"},on:{\"click\":_vm.runTestCase}},[_vm._v(\"Run selected testcase as user xxxxx.\")]),_c('br')],1),_c('div',[_c('b-alert',{attrs:{\"show\":_vm.showAlertRecalc,\"variant\":_vm.alertStyleRecalc}},[_vm._v(_vm._s(_vm.alertTextRecalc))]),_c('b-alert',{attrs:{\"show\":_vm.showCalculateMessageFlag,\"variant\":\"danger\"}},[_vm._v(\"Please click on one of the above buttons.\")])],1)],1)],1)],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// ***********************************\n// Testing.vue\n// November 2024 - page to run test cases\n// ***********************************\n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Testing.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Testing.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./Testing.vue?vue&type=template&id=f3077274\"\nimport script from \"./Testing.vue?vue&type=script&lang=js\"\nexport * from \"./Testing.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('div',[_c('router-link',{attrs:{\"to\":{ name: 'Main'}}},[_vm._v(\"List\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Add'}}},[_vm._v(\"Add\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Profile' }}},[_vm._v(\"Share\")])],1),_vm._v(\" Use this page to create custom charts for your database. \"),_c('b-button',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.morehelp\",modifiers:{\"morehelp\":true}}],attrs:{\"variant\":\"link\"}},[_vm._v(\"Click here to see more instructions.\")]),_c('br'),_c('b-collapse',{attrs:{\"id\":\"morehelp\"}},[_c('b-card',{attrs:{\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('div',{staticClass:\"mt-3 text-left\",attrs:{\"id\":\"morehelptext\"}},[_vm._v(\" This page lets you define different kinds of charts.\"),_c('br'),_c('br')])])],1),_c('a',{attrs:{\"name\":\"daterange\"}}),_c('div',[_c('b-card',{attrs:{\"title\":\"Custom Date Range for Charts\"}},[_c('b-card-text',[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"You can use the following controls if you want to narrow down the date range shown in the various charts on this page. \")])]),_c('b-container',{staticClass:\"bv-example-row\"},[_c('b-row',[_c('b-col',[_vm._v(\" Chart Start Date \")]),_c('b-col',[_vm._v(\" Chart End Date \")])],1),_c('b-row',[_c('b-col',[_c('b-form-datepicker',{staticClass:\"mb-2\",attrs:{\"id\":\"start-datepicker\",\"min\":_vm.start_date_min,\"max\":_vm.end_date_max,\"size\":\"sm\"},on:{\"input\":_vm.changeAdhocMetricGroupAll},model:{value:(_vm.start_date),callback:function ($$v) {_vm.start_date=$$v},expression:\"start_date\"}})],1),_c('b-col',[_c('b-form-datepicker',{staticClass:\"mb-2\",attrs:{\"id\":\"end-datepicker\",\"min\":_vm.start_date_min,\"max\":_vm.end_date_max,\"size\":\"sm\"},on:{\"input\":_vm.changeAdhocMetricGroupAll},model:{value:(_vm.end_date),callback:function ($$v) {_vm.end_date=$$v},expression:\"end_date\"}})],1)],1),_c('b-row',[_c('b-col',[_c('b-button',{attrs:{\"size\":\"sm\"},on:{\"click\":function($event){_vm.start_date = 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($$v) {_vm.chart1_instances=$$v},expression:\"chart1_instances\"}}):_vm._e()],1):_vm._e(),((_vm.chart1_type=='single'))?_c('b-form-checkbox',{attrs:{\"switch\":\"\"},on:{\"change\":function($event){_vm.showchart1=false}},model:{value:(_vm.showReflineschart1),callback:function ($$v) {_vm.showReflineschart1=$$v},expression:\"showReflineschart1\"}},[_vm._v(\"Show Reference Lines\")]):_vm._e(),(!_vm.showchart1)?_c('b-button',{on:{\"click\":function($event){_vm.showchart1 = !_vm.showchart1}},model:{value:(_vm.showchart1),callback:function ($$v) {_vm.showchart1=$$v},expression:\"showchart1\"}},[_vm._v(\"Draw/Update Chart\")]):_vm._e(),_c('br'),(_vm.showchart1 && (_vm.chart1_type=='single'))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":_vm.chart1_metric1 + _vm.instanceLabel,\"chart_id\":_vm.chart1_group + '~' + _vm.chart1_metric1,\"colorScheme\":\"adhoc1\",\"reflines\":this.showReflineschart1,\"instance_num\":this.chart1_instances,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e(),(_vm.showchart1 && (_vm.chart1_type=='singleRAC'))?_c('timechartRACcontainer',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":_vm.chart1_metric1 + _vm.instanceLabel,\"chart_id\":_vm.chart1_group + '~' + _vm.chart1_metric1,\"colorScheme\":\"adhoc1\",\"stacked\":\"false\",\"num_instances\":this.instances,\"instancenum_list\":this.instancenums,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e(),(_vm.showchart1 && (_vm.chart1_type=='dual'))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":_vm.chart1_metric1 + _vm.instanceLabel+':'+_vm.chart1_metric2 + _vm.instanceLabel,\"chart_id\":_vm.chart1_group + '~' + _vm.chart1_metric1+':'+_vm.chart1_metric2,\"stacked\":\"false\",\"colorScheme\":\"adhoc2\",\"reflines\":\"false\",\"instance_num\":this.chart1_instances,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e(),(_vm.showchart1 && (_vm.chart1_type=='dual_stacked'))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":_vm.chart1_metric1 + _vm.instanceLabel+':'+_vm.chart1_metric2 + _vm.instanceLabel,\"chart_id\":_vm.chart1_group + '~' + 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_vm.chart2_metric1,\"colorScheme\":\"adhoc1\",\"stacked\":\"false\",\"num_instances\":this.instances,\"instancenum_list\":this.instancenums,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e(),(_vm.showchart2 && (_vm.chart2_type=='dual'))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":_vm.chart2_metric1 + _vm.instanceLabel+':'+_vm.chart2_metric2 + _vm.instanceLabel,\"chart_id\":_vm.chart2_group + '~' + _vm.chart2_metric1+':'+_vm.chart2_metric2,\"stacked\":\"false\",\"colorScheme\":\"adhoc2\",\"reflines\":\"false\",\"instance_num\":this.chart2_instances,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e(),(_vm.showchart2 && 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(_vm.chart3_type=='singleRAC'))?_c('timechartRACcontainer',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":_vm.chart3_metric1 + _vm.instanceLabel,\"chart_id\":_vm.chart3_group + '~' + _vm.chart3_metric1,\"colorScheme\":\"adhoc1\",\"stacked\":\"false\",\"num_instances\":this.instances,\"instancenum_list\":this.instancenums,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e(),(_vm.showchart3 && (_vm.chart3_type=='dual'))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":_vm.chart3_metric1 + _vm.instanceLabel+':'+_vm.chart3_metric2 + _vm.instanceLabel,\"chart_id\":_vm.chart3_group + '~' + _vm.chart3_metric1+':'+_vm.chart3_metric2,\"stacked\":\"false\",\"colorScheme\":\"adhoc2\",\"reflines\":\"false\",\"instance_num\":this.chart3_instances,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e(),(_vm.showchart3 && (_vm.chart3_type=='dual_stacked'))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":_vm.chart3_metric1 + _vm.instanceLabel+':'+_vm.chart3_metric2 + _vm.instanceLabel,\"chart_id\":_vm.chart3_group + '~' + _vm.chart3_metric1+':'+_vm.chart3_metric2,\"stacked\":\"true\",\"colorScheme\":\"adhoc2stacked\",\"reflines\":\"false\",\"instance_num\":this.chart3_instances,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1)],1),_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_vm._v(\" Chart 4 \")]),_c('b-card-body',[_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",value:('Pick one of the available chart types'),expression:\"'Pick one of the available chart types'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Chart Type:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":function($event){_vm.showchart4=false}},model:{value:(_vm.chart4_type),callback:function ($$v) {_vm.chart4_type=$$v},expression:\"chart4_type\"}},[_c('option',{attrs:{\"value\":\"single\"}},[_vm._v(\"Single Metric\")]),(this.instances>1 && (_vm.chart4_group!='SYSSTAT'))?_c('option',{attrs:{\"value\":\"singleRAC\"}},[_vm._v(\"Single Metric - broken out by RAC instances\")]):_vm._e(),_c('option',{attrs:{\"value\":\"dual\"}},[_vm._v(\"Two Metrics with a single Y axis\")]),_c('option',{attrs:{\"value\":\"dual_stacked\"}},[_vm._v(\"Two Metrics Stacked with a single Y axis\")])])],1),_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",value:('Pick one of the available metric groups'),expression:\"'Pick one of the available metric groups'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Metric Group:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.changeAdhocMetricGroup4},model:{value:(_vm.chart4_group),callback:function ($$v) {_vm.chart4_group=$$v},expression:\"chart4_group\"}},[_c('option',{attrs:{\"value\":\"MAIN_METRICS\"}},[_vm._v(\"Main Metrics\")]),_c('option',{attrs:{\"value\":\"SYSSTAT\"}},[_vm._v(\"SYSSTAT Metrics\")])])],1),_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",value:('Pick one of the available metrics to use in the chart'),expression:\"'Pick one of the available metrics to use in the chart'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Metric1:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\",\"options\":_vm.column_lov4},on:{\"change\":function($event){_vm.showchart4=false}},model:{value:(_vm.chart4_metric1),callback:function ($$v) {_vm.chart4_metric1=$$v},expression:\"chart4_metric1\"}})],1),((_vm.chart4_type=='dual')||(_vm.chart4_type=='dual_stacked'))?_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",value:('Pick one of the available metrics to use in the chart'),expression:\"'Pick one of the available metrics to use in the chart'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Metric2:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\",\"options\":_vm.column_lov4},on:{\"change\":function($event){_vm.showchart4=false}},model:{value:(_vm.chart4_metric2),callback:function ($$v) {_vm.chart4_metric2=$$v},expression:\"chart4_metric2\"}})],1):_vm._e(),((_vm.chart4_type!='singleRAC') && (_vm.chart4_group!='SYSSTAT') && this.instances>1)?_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",value:('Pick the RAC Instance to chart, or pick the entire cluster.'),expression:\"'Pick the RAC Instance to chart, or pick the entire cluster.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"RAC Instance:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[(this.instances>1)?_c('b-form-select',{attrs:{\"options\":_vm.instanceChoices,\"size\":\"sm\"},on:{\"change\":function($event){_vm.showchart4=false}},model:{value:(_vm.chart4_instances),callback:function ($$v) {_vm.chart4_instances=$$v},expression:\"chart4_instances\"}}):_vm._e()],1):_vm._e(),((_vm.chart4_type=='single'))?_c('b-form-checkbox',{attrs:{\"switch\":\"\"},on:{\"change\":function($event){_vm.showchart4=false}},model:{value:(_vm.showReflineschart4),callback:function ($$v) {_vm.showReflineschart4=$$v},expression:\"showReflineschart4\"}},[_vm._v(\"Show Reference Lines\")]):_vm._e(),(!_vm.showchart4)?_c('b-button',{on:{\"click\":function($event){_vm.showchart4 = !_vm.showchart4}},model:{value:(_vm.showchart4),callback:function ($$v) {_vm.showchart4=$$v},expression:\"showchart4\"}},[_vm._v(\"Draw/Update Chart\")]):_vm._e(),_c('br'),(_vm.showchart4 && (_vm.chart4_type=='single'))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":_vm.chart4_metric1 + _vm.instanceLabel,\"chart_id\":_vm.chart4_group + '~' + _vm.chart4_metric1,\"colorScheme\":\"adhoc1\",\"reflines\":this.showReflineschart4,\"instance_num\":this.chart4_instances,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e(),(_vm.showchart4 && (_vm.chart4_type=='singleRAC'))?_c('timechartRACcontainer',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":_vm.chart4_metric1 + _vm.instanceLabel,\"chart_id\":_vm.chart4_group + '~' + _vm.chart4_metric1,\"colorScheme\":\"adhoc1\",\"stacked\":\"false\",\"num_instances\":this.instances,\"instancenum_list\":this.instancenums,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e(),(_vm.showchart4 && (_vm.chart4_type=='dual'))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":_vm.chart4_metric1 + _vm.instanceLabel+':'+_vm.chart4_metric2 + _vm.instanceLabel,\"chart_id\":_vm.chart4_group + '~' + _vm.chart4_metric1+':'+_vm.chart4_metric2,\"stacked\":\"false\",\"colorScheme\":\"adhoc2\",\"reflines\":\"false\",\"instance_num\":this.chart4_instances,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e(),(_vm.showchart4 && (_vm.chart4_type=='dual_stacked'))?_c('timechart2container',{attrs:{\"collection_id\":_vm.collection_id,\"collection_type\":_vm.collection_type,\"user\":_vm.user,\"label\":_vm.chart4_metric1 + _vm.instanceLabel+':'+_vm.chart4_metric2 + _vm.instanceLabel,\"chart_id\":_vm.chart4_group + '~' + _vm.chart4_metric1+':'+_vm.chart4_metric2,\"stacked\":\"true\",\"colorScheme\":\"adhoc2stacked\",\"reflines\":\"false\",\"instance_num\":this.chart4_instances,\"start_date\":this.start_date,\"end_date\":this.end_date,\"start_date_min\":this.start_date_min,\"end_date_max\":this.end_date_max,\"showDateRange\":true}}):_vm._e()],1)],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// ***********************************\n// Charts.vue\n// ***********************************\n \n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Charts.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Charts.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./Charts.vue?vue&type=template&id=425258ba\"\nimport script from \"./Charts.vue?vue&type=script&lang=js\"\nexport * from \"./Charts.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('b-form',{on:{\"reset\":_vm.onReset}},[_c('b-card',{staticClass:\"mb-1\",attrs:{\"no-body\":\"\",\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('b-card-header',{staticClass:\"p-1\",attrs:{\"header-tag\":\"header\",\"role\":\"tab\"}},[_vm._v(\" Price Loader \")]),_c('b-card-body',[_c('div',[_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"button\",\"title\":\"Compare/Contrast shape attributes.\",\"block\":\"\",\"variant\":\"outline-primary\"},on:{\"click\":_vm.getShapeAttributes}},[_vm._v(\"Compare/Contrast shape attributes.\")]),_c('br')],1),_c('b-form-group',{attrs:{\"label\":\"AWS Region:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\",\"options\":_vm.region_lov},model:{value:(_vm.regionCode),callback:function ($$v) {_vm.regionCode=$$v},expression:\"regionCode\"}})],1),_c('div',[_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"button\",\"title\":\"Retrieve Latest Pricing for above region.\",\"block\":\"\",\"variant\":\"outline-primary\"},on:{\"click\":_vm.getPricingRegion}},[_vm._v(\"Retrieve Latest Pricing for above region.\")]),_c('br')],1),_c('div',[_c('b-alert',{attrs:{\"show\":_vm.showAlertRecalc,\"variant\":_vm.alertStyleRecalc}},[_vm._v(_vm._s(_vm.alertTextRecalc))]),_c('b-alert',{attrs:{\"show\":_vm.showCalculateMessageFlag,\"variant\":\"danger\"}},[_vm._v(\"Please click on one of the above buttons.\")]),_c('div',[_c('b-button',{attrs:{\"type\":\"button\",\"block\":\"\",\"variant\":\"outline-primary\"},on:{\"click\":_vm.scanDates}},[_vm._v(\"Scan Last Update Dates.\")]),_c('br')],1),_c('div',[_c('b-button',{attrs:{\"type\":\"button\",\"block\":\"\",\"variant\":\"outline-primary\"},on:{\"click\":_vm.getPricingOldest}},[_vm._v(\"Retrieve Latest Pricing for oldest-to-be-updated regions.\")]),_c('br')],1),_c('div',[_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"button\",\"title\":\"Retrieve Latest Pricing for test regions.\",\"block\":\"\",\"variant\":\"outline-primary\"},on:{\"click\":_vm.getPricingTest}},[_vm._v(\"Retrieve Latest Pricing for test regions.\")]),_c('br')],1),_c('div',[_c('b-button',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"type\":\"button\",\"title\":\"Retrieve Latest Pricing for US.\",\"block\":\"\",\"variant\":\"outline-primary\"},on:{\"click\":_vm.getPricingAMER}},[_vm._v(\"Retrieve Latest Pricing for US.\")]),_c('br')],1),_c('div',[_c('b-button',{attrs:{\"type\":\"button\",\"block\":\"\",\"variant\":\"outline-primary\"},on:{\"click\":_vm.getPricingEURO}},[_vm._v(\"Retrieve Latest Pricing for Europe.\")]),_c('br')],1),_c('div',[_c('b-button',{attrs:{\"type\":\"button\",\"block\":\"\",\"variant\":\"outline-primary\"},on:{\"click\":_vm.getPricingCASA}},[_vm._v(\"Retrieve Latest Pricing for Canada and South America.\")]),_c('br')],1),_c('div',[_c('b-button',{attrs:{\"type\":\"button\",\"block\":\"\",\"variant\":\"outline-primary\"},on:{\"click\":_vm.getPricingAPJ}},[_vm._v(\"Retrieve Latest Pricing for APJ.\")]),_c('br')],1),_c('div',[_c('b-button',{attrs:{\"type\":\"button\",\"block\":\"\",\"variant\":\"outline-primary\"},on:{\"click\":_vm.getPricingAFME}},[_vm._v(\"Retrieve Latest Pricing for Africa and MiddleEast.\")]),_c('br')],1),_c('div',[_c('b-button',{attrs:{\"type\":\"button\",\"block\":\"\",\"variant\":\"outline-primary\"},on:{\"click\":_vm.getPricingGOV}},[_vm._v(\"Retrieve Latest Pricing for Gov Cloud.\")]),_c('br')],1)],1)],1)],1)],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// ***********************************\n// Pricing.vue\n// July 2019 - adhoc page to load new pricing info\n// ***********************************\n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Pricing.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Pricing.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./Pricing.vue?vue&type=template&id=60cb3daa\"\nimport script from \"./Pricing.vue?vue&type=script&lang=js\"\nexport * from \"./Pricing.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('b-alert',{attrs:{\"show\":_vm.showAlert,\"variant\":_vm.alertStyle}},[_vm._v(_vm._s(_vm.alertText))]),(!_vm.showAlert)?_c('b-card',{attrs:{\"header\":\"User Profile: Database Metric Sharing\"}},[_c('b-list-group',[_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"The following users are authorized to use DBCSI to work with your uploaded database(s) metrics.\")]),_c('p'),_c('b-table',{attrs:{\"responsive\":\"\",\"hover\":\"\",\"items\":_vm.allowed_list,\"fields\":_vm.fields},scopedSlots:_vm._u([{key:\"cell(actions)\",fn:function(row){return [_c('b-button',{staticClass:\"mr-1\",attrs:{\"size\":\"sm\"},on:{\"click\":function($event){return _vm.deleteAuthorization(row.item, row.index, $event)}}},[_vm._v(\" Delete Authorization \")])]}},{key:\"cell(show_details)\",fn:function(row){return [_c('b-button',{staticClass:\"mr-2\",attrs:{\"size\":\"sm\"},on:{\"click\":row.toggleDetails}},[_vm._v(_vm._s(row.detailsShowing ? 'Hide' : 'Show')+\" Details\")])]}}],null,false,3583237071)})],1)]),_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"To authorize another DBCSI user to be able to work with your uploaded database(s), enter their case-sensitive userID below.\")]),_c('b-card',{staticClass:\"text-left\",attrs:{\"bg-variant\":\"light\"}},[(_vm.show)?_c('b-form',{on:{\"submit\":_vm.onSubmit,\"reset\":_vm.onReset}},[_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup1\",\"label\":\"Allowed userID:\",\"label-for\":\"also_allowed_id\",\"description\":\"UserID of another DBCSI user who you are authorizing to access your uploaded database(s) metrics.\"}},[_c('b-form-input',{attrs:{\"id\":\"also_allowed_id\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter DBCSI userID\"},model:{value:(_vm.form.also_allowed_id),callback:function ($$v) {_vm.$set(_vm.form, \"also_allowed_id\", $$v)},expression:\"form.also_allowed_id\"}})],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup1\",\"label\":\"Batch to share:\",\"label-for\":\"form.batch_id\",\"description\":\"The name of the specific batch you want to share, or select to share ALL your databases including databases you upload in the future.\"}},[_c('b-form-select',{attrs:{\"options\":_vm.batchChoices},model:{value:(_vm.form.batch_id),callback:function ($$v) {_vm.$set(_vm.form, \"batch_id\", $$v)},expression:\"form.batch_id\"}})],1),_c('b-button',{attrs:{\"type\":\"submit\",\"variant\":\"primary\"}},[_vm._v(\"Submit\")]),_c('b-button',{attrs:{\"type\":\"reset\",\"variant\":\"danger\"}},[_vm._v(\"Reset\")])],1):_vm._e()],1)],1)])],1)],1):_vm._e()],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// ***********************************\n// Profile.vue\n// ***********************************\n \n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Profile.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Profile.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./Profile.vue?vue&type=template&id=54017660\"\nimport script from \"./Profile.vue?vue&type=script&lang=js\"\nexport * from \"./Profile.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[(this.batch_id.charAt(0)=='C')?_c('div',[_c('router-link',{attrs:{\"to\":{ name: 'Main'}}},[_vm._v(\"List\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Add'}}},[_vm._v(\"Add\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Profile' }}},[_vm._v(\"Share\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Shapes' }}},[_vm._v(\"ShapeBrowser\")])],1):_c('div',[_c('router-link',{attrs:{\"to\":{ name: 'BatchHome'}}},[_vm._v(\"List\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'BatchAdd'}}},[_vm._v(\"Add\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Profile' }}},[_vm._v(\"Share\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Shapes' }}},[_vm._v(\"ShapeBrowser\")])],1),_c('b-button',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.morehelp\",modifiers:{\"morehelp\":true}}],attrs:{\"variant\":\"link\"}},[_vm._v(\"Click here to see instructions for this page.\")]),_c('br'),_c('b-collapse',{attrs:{\"id\":\"morehelp\"}},[_c('b-card',{attrs:{\"border-variant\":\"primary\",\"header-bg-variant\":\"primary\",\"header-text-variant\":\"white\"}},[_c('div',{staticClass:\"mt-3 text-left\",attrs:{\"id\":\"morehelptext\"}},[_vm._v(\" The page provides a set of selectable algorithms and preferences for you to tell DBCSI how to review your data and pick target values for the key sizing dimensions. For instance, the CPU Algorithm drop-down provides various choices for how DBCSI picks the CPU Target Value based on the real-world performance metrics. Some of the options have additional help text which you can see via hovering over the option until the tooltip appears. \"),_c('br'),_c('br'),_vm._v(\" Once you are happy with your selections for the algorithms and preferences, you then click on the Create New Scenario button. At this point, DBCSI will use your algorithms to go through all the raw performance metrics data and apply them. When this process is finished, you will see the Target Values columns (VCPU, Memory, IOPS, IO Throughput, Disk Space) updated in the table. You will also see a corresponding RDS configuration that fits the calculated target values. \"),_c('br'),_c('br'),_vm._v(\" A few things to note: \"),_c('br'),_vm._v(\" 1. In some scenarios, there may not be a matching RDS configuration. One example could be a database that need more IO Throughput than RDS can offer today. \"),_c('br'),_vm._v(\" 2. If you don't like the target values that DBCSI calculated, you can change the corresponding algorithm/preferences and then re-click on one of the Scenario buttons. \"),_c('br'),_vm._v(\" 3. Or, you can manually enter your own target values. When you leave the manual edit mode, the new RDS configuration will be recomputed. \"),_c('br'),_c('br'),_vm._v(\" A useful feature is the \\\"Show Config\\\" button. If you click on this, you will get a report showing the configuration, the target values, and graphs of the key performance metrics. Pro tip: you can print the report using the Print button at the bottom of the report and then use the \\\"Save as PDF\\\" or \\\"Print to PDF\\\" feature of your print dialog to create a PDF report for sharing. \"),_c('br'),_c('br'),_vm._v(\" Another useful feature is the the Download CSV button. This creates a spreadsheet of useful configuration details which you can use for further manipulation or incorporation into other documents. \"),_c('br'),_c('br')])])],1),_c('br'),_c('b-form',{on:{\"reset\":_vm.onReset}},[_c('b-card',{attrs:{\"header\":\"Auto-Right-Sizer (EXPERIMENTAL)\"}},[_c('b-list-group',[(this.singleDB)?_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"Database Details\")]),_c('p'),_c('div',{attrs:{\"id\":\"dbOverview\"}},[_c('b-alert',{attrs:{\"show\":_vm.shareMode,\"variant\":\"info\"}},[_vm._v(\"This database has been shared with you via URL. Please save the URL if you want to continue to view it later.\")]),((this.batchItems[0].AWR_MINER_VER != undefined && !( this.batchItems[0].AWR_MINER_VER.includes('aws') || this.batchItems[0].AWR_MINER_VER.includes('statspack') ) ))?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"Warning: This looks like the generic non-DBCSI AWR Miner script was used to collect metrics. DBCSI works best if you use the DBCSI-specific data collection script downloadable from the DBCSI Add page. 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'' : this.batchItems[0].ExadataAdjustmentText}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Exadata4.png\"),\"height\":\"20px\",\"title\":\"Exadata - Heavy SmartScan Offload\"}}):_vm._e(),((this.batchItems[0].IOPS*1>0) && (this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024 <= 30))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting OLTP-style workloads.`),expression:\"`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting OLTP-style workloads.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/OLTP1.png\"),\"height\":\"20px\",\"title\":\"OLTP-DW Spectrum Estimation\"}}):_vm._e(),((this.batchItems[0].IOPS*1>0) && (this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024 > 30) && (this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024 <= 120))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting OLTP-style workloads with some mixed workloads.`),expression:\"`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting OLTP-style workloads with some mixed workloads.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/OLTP2.png\"),\"height\":\"20px\",\"title\":\"OLTP-DW Spectrum Estimation\"}}):_vm._e(),((this.batchItems[0].IOPS*1>0) && (this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024 > 120) && (this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024 <= 400))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting mixed and/or DW workloads.`),expression:\"`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting mixed and/or DW workloads.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/OLTP3.png\"),\"height\":\"20px\",\"title\":\"OLTP-DW Spectrum Estimation\"}}):_vm._e(),((this.batchItems[0].IOPS*1>0) && (this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024 > 400))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting DW-style workloads.`),expression:\"`The estimated typical IO request size is ${Math.round(this.batchItems[0].Throughput/this.batchItems[0].IOPS*1024)} KB, which makes this database appear to be supporting DW-style workloads.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/OLTP4.png\"),\"height\":\"20px\",\"title\":\"OLTP-DW Spectrum Estimation\"}}):_vm._e(),(!(this.batchItems[0].AWR_MINER_VER != undefined && !(this.batchItems[0].AWR_MINER_VER.includes('aws') || this.batchItems[0].AWR_MINER_VER.includes('statspack')) ) && (this.batchItems[0].SE2=='Yes') && (this.batchItems[0].VCPU==undefined || (this.batchItems[0].VCPU*1<=16)) && (this.batchItems[0].Throughput==undefined || (this.batchItems[0].Throughput*1<=1250)) && (this.batchItems[0].IOPS==undefined || (this.batchItems[0].IOPS*1<=40000)) && (this.batchItems[0].Memory==undefined || (this.batchItems[0].Memory*1<=128)))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Consider evaluating this database for Oracle Standard Edition2. At first glance, DBCSI did not find too many different types of EE features such as Partitioning, Bitmap Indexes, Parallel Query, and VPD/ FGA/ Data Redaction. ${this.batchItems[0].SE2_Comments}`),expression:\"`Consider evaluating this database for Oracle Standard Edition2. At first glance, DBCSI did not find too many different types of EE features such as Partitioning, Bitmap Indexes, Parallel Query, and VPD/ FGA/ Data Redaction. ${this.batchItems[0].SE2_Comments}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/SE2.png\"),\"height\":\"20px\",\"title\":\"Standard Edition2\"}}):_vm._e(),_c('b-alert',{attrs:{\"show\":_vm.showPDBalert,\"variant\":\"warning\"}},[_vm._v(\"Warning: This is a PDB. PDB support for DBCSI is still evolving. We encourage you to also collect data from the CDB database to help DBCSI sanity-check the PDB-level metrics.\")]),_c('b-table',{staticClass:\"table-sm text-xsmall\",attrs:{\"striped\":\"\",\"hover\":\"\",\"bordered\":\"\",\"fixed\":\"\",\"small\":\"\",\"sticky-header\":\"\",\"head-variant\":\"light\",\"items\":_vm.genItems},scopedSlots:_vm._u([{key:\"cell(value)\",fn:function(row){return [((row.item.name == 'SE2_ANALYSIS'))?_c('div',[_vm._v(_vm._s(_vm.batchItems[0].SE2_Comments))]):_vm._e(),(!( row.item.name == 'SE2_ANALYSIS'))?_c('div',[_vm._v(_vm._s(row.item.value)+\" \"),(row.item.name == 'NUM_CPUS')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the number of operating system CPUs (aka threads) seen by Oracle on a single node. Source: DBA_HIST_OSSTAT or STATS$OSSTAT\"}}):_vm._e(),(row.item.name == 'NUM_CPU_CORES')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the number of hardware cores detected by Oracle on a single node. Source: DBA_HIST_OSSTAT or STATS$OSSTAT\"}}):_vm._e(),(row.item.name == 'GLOBAL_CPU_COUNT')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the number of operating system CPUs (aka threads) seen by Oracle across all nodes. Source: DBA_CPU_USAGE _STATISTICS\"}}):_vm._e(),(row.item.name == 'GLOBAL_CPU_CORE_COUNT')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the number of hardware cores detected by Oracle across all nodes. Source: DBA_CPU_USAGE _STATISTICS\"}}):_vm._e(),(row.item.name == 'TOTAL_DB_SIZE_GB')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the total size of all data files and temp files. Source: DBA_DATA_FILES and DBA_TEMP_FILES\"}}):_vm._e(),(row.item.name == 'TOTAL_DATAFILE_SIZE_GB')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the total size of all data files. Source: DBA_DATA_FILES\"}}):_vm._e(),(row.item.name == 'USED_DB_SIZE_GB')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"This is the total size of all segments. Source: DBA_SEGMENTS\"}}):_vm._e(),(row.item.name == 'HOSTS')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Source: DBA_HIST_ DATABASE_INSTANCE or STATS$ DATABASE_INSTANCE\"}}):_vm._e(),(row.item.name == 'HOSTS_CURRENT')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Source: GV$INSTANCE\"}}):_vm._e(),(row.item.name == 'HOST_CONNECTED')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"The host of the database instance used to collect data.\"}}):_vm._e(),(row.item.name == 'INSTANCE#_CONNECTED')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"The database instance number used to collect data. DBCSI pulls data from all instances in a RAC Cluster, but it can sometimes be helpful to know which instance was used to collect data.\"}}):_vm._e(),((row.item.name == 'AWR_MINER_VER' && !( row.item.value.includes('aws') || row.item.value.includes('statspack') ) ))?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"Warning: This looks like the generic AWR Miner script output. DBCSI works best if you use the DBCSI-specific data collection script from the DBCSI Add page.\"}}):_vm._e(),(row.item.name == 'STATSPACK_MINER_VER')?_c('img',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Warning: when using STATSPACK data, some features of DBCSI will be limited.\"}}):_vm._e()]):_vm._e()]}}],null,false,3700452139)})],1)])]):_vm._e(),_c('b-list-group-item',{attrs:{\"variant\":\"light\"}},[_c('div',[_c('b',[_vm._v(\"Algorithm Choices\")]),_c('p'),_vm._v(\" Choose the algorithms you want to use to calculate target values for the key sizing metrics (VCPU, Memory, IOPS, IO Throughput, and Disk Space). \"),_c('p'),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('You can use this control to tell DBCSI how to calculate the target value for CPU threads based on the collected metrics for your database'),expression:\"'You can use this control to tell DBCSI how to calculate the target value for CPU threads based on the collected metrics for your database'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"CPU Algorithm:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.cpu_algo),callback:function ($$v) {_vm.$set(_vm.form, \"cpu_algo\", $$v)},expression:\"form.cpu_algo\"}},[_c('option',{attrs:{\"value\":\"cpu1\"}},[_vm._v(\"P99 of the averages\")]),_c('option',{attrs:{\"value\":\"cpu1_plus10\"}},[_vm._v(\"P99 of the averages, plus 10%\")]),_c('option',{attrs:{\"value\":\"cpu2\"}},[_vm._v(\"P90 of the peaks\")]),_c('option',{attrs:{\"value\":\"cpu2_plus10\"}},[_vm._v(\"P90 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"cpu3\"}},[_vm._v(\"Larger of the P99 of the averages OR the P90 of the peaks\")]),_c('option',{attrs:{\"value\":\"cpu3_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P90 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"cpu4\"}},[_vm._v(\"Larger of the P99 of the averages OR the P97 of the peaks\")]),_c('option',{attrs:{\"value\":\"cpu4_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P97 of the peaks, plus 10%\")])])],1),_c('b-alert',{attrs:{\"show\":_vm.showAlertNonX86,\"variant\":\"warning\"}},[_vm._v(_vm._s(_vm.alertTextNonX86))]),(_vm.showAlertNonX86)?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('The Thread Mapping Ratio is the number of source system threads that are equivalent to 1 Intel thread. For instance, for a SPARC T4, you might enter 5. You can use industry benchmarks such as SPECINT to compare thread-to-thread performance for different chipsets to derive the ratio to use.'),expression:\"'The Thread Mapping Ratio is the number of source system threads that are equivalent to 1 Intel thread. For instance, for a SPARC T4, you might enter 5. You can use industry benchmarks such as SPECINT to compare thread-to-thread performance for different chipsets to derive the ratio to use.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"CPU Thread Mapping Ratio:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-input',{attrs:{\"size\":\"sm\",\"type\":\"number\",\"step\":\"0.01\",\"placeholder\":`Ratio to map ${this.NonX86Platform} threads to Intel threads`},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.cpu_thread_ratio),callback:function ($$v) {_vm.$set(_vm.form, \"cpu_thread_ratio\", $$v)},expression:\"form.cpu_thread_ratio\"}})],1):_vm._e(),(_vm.showAIX)?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('The AIX Power SMT CPU Time Adjustment tries to normalize AIX CPU metrics to what Oracle reports on non-AIX platforms. This adjustment accounts for so-called missing time for Oracle usage on Power7 and newer AIX hardware. Refer to https://ardentperf.com/2016/07/01/understanding-cpu-on-aix-power-smt-systems/ for additional reading.'),expression:\"'The AIX Power SMT CPU Time Adjustment tries to normalize AIX CPU metrics to what Oracle reports on non-AIX platforms. This adjustment accounts for so-called missing time for Oracle usage on Power7 and newer AIX hardware. Refer to https://ardentperf.com/2016/07/01/understanding-cpu-on-aix-power-smt-systems/ for additional reading.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"AIX Power CPU Usage Time Adjustment:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.aix_algo),callback:function ($$v) {_vm.$set(_vm.form, \"aix_algo\", $$v)},expression:\"form.aix_algo\"}},[_c('option',{attrs:{\"value\":\"old\"}},[_vm._v(\"Multiply the measured CPU usage of AIX by 8 for SMT-8 and by 4 for SMT-4 (previous default algorithm but we now think this was too extreme)\")]),_c('option',{attrs:{\"value\":\"new\"}},[_vm._v(\"Multiply the measured CPU usage of AIX by 4 for SMT-8 and by 2.5 for SMT-4\")]),_c('option',{attrs:{\"value\":\"new2\"}},[_vm._v(\"Multiply the measured CPU usage of AIX by 2.0 for SMT-8 and by 1.8 for SMT-4\")]),_c('option',{attrs:{\"value\":\"none\"}},[_vm._v(\"Do not try to adjust for AIX SMT CPU time reporting (good for Power6 and earlier hardware)\")])])],1):_vm._e(),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('Adjusted for RAC means that each additional RAC instance adds 50% (not 100%) of its SGA+PGA to the target memory value. The idea is that in a RAC environment, the same blocks are kept in multiple RAC instances block buffers, so it is not as if you were getting 100% benefit of the aggregate total amount of memory.'),expression:\"'Adjusted for RAC means that each additional RAC instance adds 50% (not 100%) of its SGA+PGA to the target memory value. The idea is that in a RAC environment, the same blocks are kept in multiple RAC instances block buffers, so it is not as if you were getting 100% benefit of the aggregate total amount of memory.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Memory Algorithm:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.memory_algo),callback:function ($$v) {_vm.$set(_vm.form, \"memory_algo\", $$v)},expression:\"form.memory_algo\"}},[_c('option',{attrs:{\"value\":\"mem1\"}},[_vm._v(\"sum(SGA+PGA)\")]),_c('option',{attrs:{\"value\":\"mem1_plus20_2\"}},[_vm._v(\"sum(SGA+PGA), plus greater of 2GB or 20%\")]),_c('option',{attrs:{\"value\":\"mem2\"}},[_vm._v(\"sum(SGA+PGA) adjusted for RAC\")]),_c('option',{attrs:{\"value\":\"mem2_plus20_2\"}},[_vm._v(\"sum(SGA+PGA) adjusted for RAC, plus greater of 2GB or 20%\")])])],1),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('You can use this control to tell DBCSI how to calculate the target value for IO Throughput based on the collected metrics for your database'),expression:\"'You can use this control to tell DBCSI how to calculate the target value for IO Throughput based on the collected metrics for your database'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"IO Throughput Algorithm:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.iomb_algo),callback:function ($$v) {_vm.$set(_vm.form, \"iomb_algo\", $$v)},expression:\"form.iomb_algo\"}},[_c('option',{attrs:{\"value\":\"iomb2\"}},[_vm._v(\"P99 of the averages\")]),_c('option',{attrs:{\"value\":\"iomb2_plus10\"}},[_vm._v(\"P99 of the averages, plus 10%\")]),_c('option',{attrs:{\"value\":\"iomb3\"}},[_vm._v(\"P90 of the peaks\")]),_c('option',{attrs:{\"value\":\"iomb3_plus10\"}},[_vm._v(\"P90 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"iomb5\"}},[_vm._v(\"Larger of the P99 of the averages OR the P50 of the peaks\")]),_c('option',{attrs:{\"value\":\"iomb5_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P50 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"iomb4\"}},[_vm._v(\"Larger of the P99 of the averages OR the P90 of the peaks\")]),_c('option',{attrs:{\"value\":\"iomb4_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P90 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"iomb6\"}},[_vm._v(\"Larger of the P99 of the averages OR the P97 of the peaks\")]),_c('option',{attrs:{\"value\":\"iomb6_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P97 of the peaks, plus 10%\")])])],1),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('You can use this control to tell DBCSI how to calculate the target value for IOPS based on the collected metrics for your database'),expression:\"'You can use this control to tell DBCSI how to calculate the target value for IOPS based on the collected metrics for your database'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"IOPS Algorithm:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.iops_algo),callback:function ($$v) {_vm.$set(_vm.form, \"iops_algo\", $$v)},expression:\"form.iops_algo\"}},[_c('option',{attrs:{\"value\":\"iops2\"}},[_vm._v(\"P99 of the averages\")]),_c('option',{attrs:{\"value\":\"iops2_plus10\"}},[_vm._v(\"P99 of the averages, plus 10%\")]),_c('option',{attrs:{\"value\":\"iops3\"}},[_vm._v(\"P90 of the peaks\")]),_c('option',{attrs:{\"value\":\"iops3_plus10\"}},[_vm._v(\"P90 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"iops5\"}},[_vm._v(\"Larger of the P99 of the averages OR the P50 of the peaks\")]),_c('option',{attrs:{\"value\":\"iops5_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P50 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"iops4\"}},[_vm._v(\"Larger of the P99 of the averages OR the P90 of the peaks\")]),_c('option',{attrs:{\"value\":\"iops4_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P90 of the peaks, plus 10%\")]),_c('option',{attrs:{\"value\":\"iops6\"}},[_vm._v(\"Larger of the P99 of the averages OR the P97 of the peaks\")]),_c('option',{attrs:{\"value\":\"iops6_plus10\"}},[_vm._v(\"Larger of the P99 of the averages OR the P97 of the peaks, plus 10%\")])])],1),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('You can use this control to tell DBCSI how to calculate the target value for Disk Space based on the collected metrics for your database'),expression:\"'You can use this control to tell DBCSI how to calculate the target value for Disk Space based on the collected metrics for your database'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Disk Space Algorithm:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.diskspace_algo),callback:function ($$v) {_vm.$set(_vm.form, \"diskspace_algo\", $$v)},expression:\"form.diskspace_algo\"}},[_c('option',{attrs:{\"value\":\"disk1\"}},[_vm._v(\"Total DB Size\")]),_c('option',{attrs:{\"value\":\"disk1_plus15\"}},[_vm._v(\"Total DB Size, plus 15%\")])])],1),(_vm.IS_EXADATA)?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('One or more of these databases run on Exadata. Exadata can favor the use of I/O intensive SmartScans in lieu of more I/O-friendly techniques such as index lookups. Some customers will take the time/effort to do some post-Exadata tuning to convert their heaviest SQL queries from SmartScans(Full-Table Scans) to indexes or materialized views because the benefits (smaller configurations and more managable I/O demands) outweigh the effort of tuning.'),expression:\"'One or more of these databases run on Exadata. Exadata can favor the use of I/O intensive SmartScans in lieu of more I/O-friendly techniques such as index lookups. Some customers will take the time/effort to do some post-Exadata tuning to convert their heaviest SQL queries from SmartScans(Full-Table Scans) to indexes or materialized views because the benefits (smaller configurations and more managable I/O demands) outweigh the effort of tuning.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"20px\"}}),_vm._v(\" Assume post-Exadata tuning?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.smartscan_algo),callback:function ($$v) {_vm.$set(_vm.form, \"smartscan_algo\", $$v)},expression:\"form.smartscan_algo\"}},[_c('option',{attrs:{\"value\":\"ss1\"}},[_vm._v(\"No - assume no ex-SmartScan adjustments (such as query tuning, indexes, materialized views, ...)\")]),_c('option',{attrs:{\"value\":\"ss2a\"}},[_vm._v(\"Yes(Light) - assume some light tuning to reduce I/O Throughput\")]),_c('option',{attrs:{\"value\":\"ss2\"}},[_vm._v(\"Yes(Moderate) - assume some moderate tuning to reduce I/O Throughput\")]),_c('option',{attrs:{\"value\":\"ss3\"}},[_vm._v(\"Yes(Heavy) - assume some heavy tuning to reduce I/O Throughput\")]),_c('option',{attrs:{\"value\":\"ss4\"}},[_vm._v(\"Yes(Very Heavy) - assume some very heavy tuning to reduce I/O Throughput\")])])],2):_vm._e(),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI if you want to size for RDS-Oracle Enterprise Edition (BYOL) or RDS-Oracle Standard Edition2 (License Included) or RDS Custom for Oracle (BYOL)'),expression:\"'This tells DBCSI if you want to size for RDS-Oracle Enterprise Edition (BYOL) or RDS-Oracle Standard Edition2 (License Included) or RDS Custom for Oracle (BYOL)'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Oracle.png\"),\"height\":\"20px\"}}),_vm._v(\" RDS-Oracle Preference: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.se_algo),callback:function ($$v) {_vm.$set(_vm.form, \"se_algo\", $$v)},expression:\"form.se_algo\"}},[_c('option',{attrs:{\"value\":\"ee\"}},[_vm._v(\"Use EE BYOL\")]),_c('option',{attrs:{\"value\":\"se\"}},[_vm._v(\"Use SE2 License Included\")]),_c('option',{attrs:{\"value\":\"custom\"}},[_vm._v(\"Use RDS Custom for Oracle (BYOL)\")]),(_vm.showRAC && _vm.showBeta)?_c('option',{attrs:{\"value\":\"rac\"}},[_vm._v(\"Use RDS Custom for Oracle Real Application Clusters (BYOL) - PREVIEW\")]):_vm._e()])],2),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('You can use this control to tell DBCSI your optimization preference in terms of License versus Cost'),expression:\"'You can use this control to tell DBCSI your optimization preference in terms of License versus Cost'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Optimization Goal:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Dollar.png\"),\"height\":\"20px\"}}),_vm._v(\" Optimization Goal: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.optcpu_algo),callback:function ($$v) {_vm.$set(_vm.form, \"optcpu_algo\", $$v)},expression:\"form.optcpu_algo\"}},[_c('option',{attrs:{\"value\":\"N2\"}},[_vm._v(\"Minimize Licensing (look for the shape with the fewest VCPU)\")]),_c('option',{attrs:{\"value\":\"N\"}},[_vm._v(\"Minimize Cost of RDS shape (estimated Oracle license quantity does not matter- good for Oracle ULAs)\")]),(_vm.showOptCPU)?_c('option',{attrs:{\"value\":\"Y\"}},[_vm._v(\"Use OptimizeCPU (consult with your license experts to decide if OptimizeCPU is a fit for your license/contract)\")]):_vm._e()])],2),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI to make some assumptions about the benefits and sizing adjustments by adding ElastiCache.'),expression:\"'This tells DBCSI to make some assumptions about the benefits and sizing adjustments by adding ElastiCache.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Elasticache.png\"),\"height\":\"20px\"}}),_vm._v(\" Include ElastiCache?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.caching_algo),callback:function ($$v) {_vm.$set(_vm.form, \"caching_algo\", $$v)},expression:\"form.caching_algo\"}},[_c('option',{attrs:{\"value\":\"N\"}},[_vm._v(\"No\")]),_c('option',{attrs:{\"value\":\"ec25\"}},[_vm._v(\"Yes- add ElastiCache and reduce RDS requirements by 25%. Size ElastiCache based on 1:3 ratio to SGA reduction.\")]),_c('option',{attrs:{\"value\":\"ec50\"}},[_vm._v(\"Yes- add ElastiCache and reduce RDS requirements by 50%. Size ElastiCache based on 1:3 ratio to SGA reduction.\")]),_c('option',{attrs:{\"value\":\"ec65\"}},[_vm._v(\"Yes- add ElastiCache and reduce RDS requirements by 65%. Size ElastiCache based on 1:3 ratio to SGA reduction.\")])])],2),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('Use this control to tell DBCSI to also include a rough estimate of an Aurora PostgreSQL sizing. This will be a very ballpark sizing based on some broad assumptions.'),expression:\"'Use this control to tell DBCSI to also include a rough estimate of an Aurora PostgreSQL sizing. This will be a very ballpark sizing based on some broad assumptions.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Aurora.png\"),\"height\":\"20px\"}}),_vm._v(\" Include Aurora Alternative?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.aurora_algo),callback:function ($$v) {_vm.$set(_vm.form, \"aurora_algo\", $$v)},expression:\"form.aurora_algo\"}},[_c('option',{attrs:{\"value\":\"auro1\"}},[_vm._v(\"No\")]),_c('option',{attrs:{\"value\":\"auro5\"}},[_vm._v(\"Yes- use the Aurora IO-Optimized mode (no need to estimate number of storage IOs)\")]),_c('option',{attrs:{\"value\":\"auro2\"}},[_vm._v(\"Yes- estimate Storage IO costs as 25% of the on-demand cost of the compute shape\")]),_c('option',{attrs:{\"value\":\"auro4\"}},[_vm._v(\"Yes- estimate Storage IO costs based on estimated IOs derived from target IO Throughput metric, adjusted by internal ratios\")])])],2),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI if it should add an alternate customer-managed EC2 Bare Metal with FSx-OnTap configuration.'),expression:\"'This tells DBCSI if it should add an alternate customer-managed EC2 Bare Metal with FSx-OnTap configuration.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Include EC2 Bare Metal Alternative?:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/EC2FSxN.png\"),\"height\":\"24px\"}}),_vm._v(\" Include EC2 Bare Metal Alternative?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.ec2fsxn_algo),callback:function ($$v) {_vm.$set(_vm.form, \"ec2fsxn_algo\", $$v)},expression:\"form.ec2fsxn_algo\"}},[_c('option',{attrs:{\"value\":\"N\"}},[_vm._v(\"No\")]),_c('option',{attrs:{\"value\":\"Y\"}},[_vm._v(\"Yes- add an alternate customer-managed EC2 Bare Metal with FSx-OnTap configuration\")])])],2),(this.form.ec2fsxn_algo=='Y')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI how to pick an EC2 Bare Metal shape when multiple shapes match your target requirements. When customers want to be frugal with their Oracle Database Licenses, they may choose something other than lowest AWS hourly cost.'),expression:\"'This tells DBCSI how to pick an EC2 Bare Metal shape when multiple shapes match your target requirements. When customers want to be frugal with their Oracle Database Licenses, they may choose something other than lowest AWS hourly cost.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/EC2FSxN.png\"),\"height\":\"24px\"}}),_vm._v(\" EC2 Bare Metal Selection Preference?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.ec2fsxn_baremetal_ranking),callback:function ($$v) {_vm.$set(_vm.form, \"ec2fsxn_baremetal_ranking\", $$v)},expression:\"form.ec2fsxn_baremetal_ranking\"}},[_c('option',{attrs:{\"value\":\"fastestCore\"}},[_vm._v(\"Pick EC2 Bare Metal shape with the fastest cores\")]),_c('option',{attrs:{\"value\":\"minimumCores\"}},[_vm._v(\"Pick EC2 Bare Metal shape with the least quantity of total cores\")]),_c('option',{attrs:{\"value\":\"minimumCost\"}},[_vm._v(\"Pick EC2 Bare Metal shape with the lowest AWS hourly cost\")])])],2):_vm._e(),(this.form.ec2fsxn_algo=='Y' && this.form.ec2fsxn_baremetal_ranking!='minimumCost')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This preference tells DBCSI how you want to incorporate Core Factor logic into the selection criteria when multiple EC2 Bare Metal shapes meet your target requirements.'),expression:\"'This preference tells DBCSI how you want to incorporate Core Factor logic into the selection criteria when multiple EC2 Bare Metal shapes meet your target requirements.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/EC2FSxN.png\"),\"height\":\"24px\"}}),_vm._v(\" EC2 Bare Metal Core Factor?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.ec2fsxn_corefactor),callback:function ($$v) {_vm.$set(_vm.form, \"ec2fsxn_corefactor\", $$v)},expression:\"form.ec2fsxn_corefactor\"}},[_c('option',{attrs:{\"value\":\"N\"}},[_vm._v(\"No - do not include Core Factor in criteria\")]),_c('option',{attrs:{\"value\":\"positiveguess\"}},[_vm._v(\"Yes - guess Core Factor and treat ambiguity positively (i.e. 8259CL is the same as 82XX)\")]),_c('option',{attrs:{\"value\":\"negativeguess\"}},[_vm._v(\"Yes - guess Core Factor and treat ambiguity negatively (i.e. 8259CL is NOT the same as 82XX)\")])])],2):_vm._e(),(this.form.ec2fsxn_algo=='Y')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI how to estimate MultiAZ for the EC2 instance. Given that FSx-OnTap\\'s MultiAZ File System storage replication does not require you to run an EC2 instance in the secondary AZ, some customers with longer RTO requirements choose to not continually run an EC2 instance in the secondary AZ.'),expression:\"'This tells DBCSI how to estimate MultiAZ for the EC2 instance. Given that FSx-OnTap\\\\'s MultiAZ File System storage replication does not require you to run an EC2 instance in the secondary AZ, some customers with longer RTO requirements choose to not continually run an EC2 instance in the secondary AZ.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/EC2FSxN.png\"),\"height\":\"24px\"}}),_vm._v(\" EC2 Bare Metal MultiAZ Style?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.ec2fsxn_baremetal_HA),callback:function ($$v) {_vm.$set(_vm.form, \"ec2fsxn_baremetal_HA\", $$v)},expression:\"form.ec2fsxn_baremetal_HA\"}},[_c('option',{attrs:{\"value\":\"single\"}},[_vm._v(\"Frugal (Longer RTO) - MultiAZ Estimates only include an EC2 Bare Metal instance in the primary AZ\")]),_c('option',{attrs:{\"value\":\"Y\"}},[_vm._v(\"Shorter RTO - MultiAZ Estimates should include EC2 Bare Metal instance in both AZs\")])])],2):_vm._e(),(false && this.form.ec2fsxn_algo=='Y')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI how if you want to show both the RDS configuration and the EC2 Bare Metal configuration in the Show Config report, or if you only want to show the EC2 Bare Metal configuration. If you show both, the charts in the report will use the RDS configuration as the reference for the available resources.'),expression:\"'This tells DBCSI how if you want to show both the RDS configuration and the EC2 Bare Metal configuration in the Show Config report, or if you only want to show the EC2 Bare Metal configuration. If you show both, the charts in the report will use the RDS configuration as the reference for the available resources.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/EC2FSxN.png\"),\"height\":\"24px\"}}),_vm._v(\" EC2 Bare Metal Show Config Style?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.ec2fsxn_baremetal_showdetail),callback:function ($$v) {_vm.$set(_vm.form, \"ec2fsxn_baremetal_showdetail\", $$v)},expression:\"form.ec2fsxn_baremetal_showdetail\"}},[_c('option',{attrs:{\"value\":\"alternate\"}},[_vm._v(\"Display both the RDS and the EC2 Bare Metal configuration in the Show Config report \")]),_c('option',{attrs:{\"value\":\"ec2only\"}},[_vm._v(\"Only show the EC2 Bare Metal configuration in the Show Config report\")])])],2):_vm._e(),(this.showODBAWS)?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI if it should add an alternate Oracle Database@AWS marketplace configuration.'),expression:\"'This tells DBCSI if it should add an alternate Oracle Database@AWS marketplace configuration.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Include Oracle Database@AWS (Marketplace) Alternative?:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"24px\"}}),_vm._v(\" Include Oracle Database@AWS (Marketplace) Alternative?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.odbAWS_algo),callback:function ($$v) {_vm.$set(_vm.form, \"odbAWS_algo\", $$v)},expression:\"form.odbAWS_algo\"}},[_c('option',{attrs:{\"value\":\"N\"}},[_vm._v(\"No\")]),_c('option',{attrs:{\"value\":\"Y\"}},[_vm._v(\"Yes- add an alternative Oracle Database@AWS configuration\")])])],2):_vm._e(),(this.form.odbAWS_algo=='Y')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI what Oracle Service to estimate.'),expression:\"'This tells DBCSI what Oracle Service to estimate.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"24px\"}}),_vm._v(\" OCI Service: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.changeODBRecalculate},model:{value:(_vm.form.odbAWS_service),callback:function ($$v) {_vm.$set(_vm.form, \"odbAWS_service\", $$v)},expression:\"form.odbAWS_service\"}},[_c('option',{attrs:{\"value\":\"exacs\"}},[_vm._v(\"Exadata Database on Dedicated Infrastructure\")]),_c('option',{attrs:{\"value\":\"adb\"}},[_vm._v(\"Autonomous Database on Dedicated Infrastructure (Not Yet Available)\")])])],2):_vm._e(),(this.form.odbAWS_algo=='Y')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI how to estimate license/Usage charges.'),expression:\"'This tells DBCSI how to estimate license/Usage charges.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"24px\"}}),_vm._v(\" License Model?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.odbAWS_Licensing),callback:function ($$v) {_vm.$set(_vm.form, \"odbAWS_Licensing\", $$v)},expression:\"form.odbAWS_Licensing\"}},[_c('option',{attrs:{\"value\":\"BYOL\"}},[_vm._v(\"Use Bring Your Own Licensing (BYOL) Usage pricing\")]),_c('option',{attrs:{\"value\":\"LI\"}},[_vm._v(\"Use License Included Usage pricing\")])])],2):_vm._e(),(this.form.odbAWS_algo=='Y')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI what hardware model to use for the estimate.'),expression:\"'This tells DBCSI what hardware model to use for the estimate.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"24px\"}}),_vm._v(\" Model: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.odbAWS_model),callback:function ($$v) {_vm.$set(_vm.form, \"odbAWS_model\", $$v)},expression:\"form.odbAWS_model\"}},[((this.form.odbAWS_service=='exacs'))?_c('option',{attrs:{\"value\":\"X9M-2\"}},[_vm._v(\"X9M-2\")]):_vm._e(),_c('option',{attrs:{\"value\":\"X11M\"}},[_vm._v(\"X11M\")])])],2):_vm._e(),(this.form.odbAWS_algo=='Y')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI how to configure MultiAZ for the Exadata infrastructure.'),expression:\"'This tells DBCSI how to configure MultiAZ for the Exadata infrastructure.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"24px\"}}),_vm._v(\" MultiAZ?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.odbAWS_HA),callback:function ($$v) {_vm.$set(_vm.form, \"odbAWS_HA\", $$v)},expression:\"form.odbAWS_HA\"}},[_c('option',{attrs:{\"value\":\"single\"}},[_vm._v(\"Use a single AZ\")]),_c('option',{attrs:{\"value\":\"Y\"}},[_vm._v(\"Deploy Exadata infrastructure in two AZs in the region, with full-scale Usage sizing for the 2nd AZ\")]),((this.form.odbAWS_service=='exacs'))?_c('option',{attrs:{\"value\":\"Y20\"}},[_vm._v(\"(Pilot Light MAZ) - Deploy Exadata infrastructure in two AZs in the region, with 20% Usage sizing for the 2nd AZ\")]):_vm._e()])],2):_vm._e(),(this.form.odbAWS_algo=='Y')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI how to configure DR for the Exadata infrastructure. Because of the calendar time needed to purchase new infrastructure, it is strongly recommended to have your DR infrastructure pre-acquired and provisioned.'),expression:\"'This tells DBCSI how to configure DR for the Exadata infrastructure. Because of the calendar time needed to purchase new infrastructure, it is strongly recommended to have your DR infrastructure pre-acquired and provisioned.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"24px\"}}),_vm._v(\" DR?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.odbAWS_DR),callback:function ($$v) {_vm.$set(_vm.form, \"odbAWS_DR\", $$v)},expression:\"form.odbAWS_DR\"}},[_c('option',{attrs:{\"value\":\"N\"}},[_vm._v(\"Do not deploy DR infrastructure (WARNING- Not Suggested)\")]),_c('option',{attrs:{\"value\":\"Y\"}},[_vm._v(\"Deploy SingleAZ Exadata infrastructure in a 2nd region, with full-scale Usage sizing for the 2nd region\")]),((this.form.odbAWS_service=='exacs'))?_c('option',{attrs:{\"value\":\"Y20\"}},[_vm._v(\"(Pilot Light DR) - Deploy SingleAZ Exadata infrastructure in a 2nd region, with 20% Usage sizing for the 2nd region\")]):_vm._e(),((this.form.odbAWS_service=='exacs') && ( (this.form.odbAWS_HA=='Y') || (this.form.odbAWS_HA=='Y20') ))?_c('option',{attrs:{\"value\":\"YMA\"}},[_vm._v(\"Deploy MultiAZ Exadata infrastructure in a 2nd region, with full-scale Usage sizing for the 2nd region primary\")]):_vm._e(),((this.form.odbAWS_service=='exacs') && ( (this.form.odbAWS_HA=='Y') || (this.form.odbAWS_HA=='Y20') ))?_c('option',{attrs:{\"value\":\"YMA20\"}},[_vm._v(\"(Pilot Light DR w/ MAZ) - Deploy MultiAZ Exadata infrastructure in a 2nd region, with 20% Usage sizing for the 2nd region\")]):_vm._e()])],2):_vm._e(),(this.form.odbAWS_algo=='Y')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI how to allocate storage.'),expression:\"'This tells DBCSI how to allocate storage.'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"24px\"}}),_vm._v(\" Storage Allocation?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.odbAWS_StorageStyle),callback:function ($$v) {_vm.$set(_vm.form, \"odbAWS_StorageStyle\", $$v)},expression:\"form.odbAWS_StorageStyle\"}},[_c('option',{attrs:{\"value\":\"default\"}},[_vm._v(\"Do not store backups on Exadata Storage nor create a SPARSE disk group\")]),_c('option',{attrs:{\"value\":\"BACKUP\"}},[_vm._v(\"Store backups on Exadata Storage (but do not create a SPARSE disk group)\")]),((this.form.odbAWS_service=='exacs'))?_c('option',{attrs:{\"value\":\"SPARSE\"}},[_vm._v(\"Create a SPARSE disk group (but do not store Backups on Exadata Storage)\")]):_vm._e(),((this.form.odbAWS_service=='exacs'))?_c('option',{attrs:{\"value\":\"BOTH\"}},[_vm._v(\"Store backup on Exadata Storage and create a SPARSE disk group\")]):_vm._e()])],2):_vm._e(),((this.form.odbAWS_algo=='Y') && (this.form.odbAWS_service=='adb'))?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI how much additional CPU to reserve when calculating the number of database servers needed. This is only for Autonomous Database'),expression:\"'This tells DBCSI how much additional CPU to reserve when calculating the number of database servers needed. This is only for Autonomous Database'\",modifiers:{\"hover\":true}}],attrs:{\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"24px\"}}),_vm._v(\" ADB Node Failover?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.odbAWS_adb_nodereserve),callback:function ($$v) {_vm.$set(_vm.form, \"odbAWS_adb_nodereserve\", $$v)},expression:\"form.odbAWS_adb_nodereserve\"}},[_c('option',{attrs:{\"value\":\"0\"}},[_vm._v(\"Do not reserve any additional CPU for node failures\")]),_c('option',{attrs:{\"value\":\"25\"}},[_vm._v(\"Reserve 25% additional CPU\")]),_c('option',{attrs:{\"value\":\"50\"}},[_vm._v(\"Reserve 50% additional CPU\")])])],2):_vm._e(),_c('b-card',[_c('span',{attrs:{\"size\":\"sm\"}},[_vm._v(\"The following control will take effect immediately and will be applied to all scenarios:\")]),_c('b-form-group',{attrs:{\"label\":\"AWS Region for Pricing:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\",\"options\":_vm.region_lov},on:{\"change\":_vm.changeRegion},model:{value:(_vm.regionCode),callback:function ($$v) {_vm.regionCode=$$v},expression:\"regionCode\"}})],1)],1),_c('br'),_c('div',[_c('b-button',{directives:[{name:\"b-toggle\",rawName:\"v-b-toggle.collapse-1\",modifiers:{\"collapse-1\":true}}],attrs:{\"variant\":\"secondary\"}},[_vm._v(\"Additional Preferences/Controls\")]),_c('b-collapse',{staticClass:\"mt-2\",attrs:{\"id\":\"collapse-1\"}},[_c('b-card',[_c('p',{staticClass:\"card-text\"},[_vm._v(\"Additional Preferences\")]),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('You can use this control to tell DBCSI your preference for pricing AWS compute instances'),expression:\"'You can use this control to tell DBCSI your preference for pricing AWS compute instances'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"AWS Pricing Preference:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.useRI_algo),callback:function ($$v) {_vm.$set(_vm.form, \"useRI_algo\", $$v)},expression:\"form.useRI_algo\"}},[_c('option',{attrs:{\"value\":\"RI\"}},[_vm._v(\"Use 1yr No-Upfront Reserved Instance pricing if available\")]),_c('option',{attrs:{\"value\":\"OD\"}},[_vm._v(\"Use On-Demand pricing\")])])],1),(_vm.form.caching_algo && _vm.form.caching_algo!='N')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This is the minimum target memory size (in GB) needed before DBCSI will try to add ElastiCache to the configuration.'),expression:\"'This is the minimum target memory size (in GB) needed before DBCSI will try to add ElastiCache to the configuration.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"ElastiCache DB Memory Minimum:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Elasticache.png\"),\"height\":\"20px\"}}),_vm._v(\" ElastiCache DB Memory Minimum: \")]),_c('b-form-input',{attrs:{\"size\":\"sm\",\"type\":\"number\",\"step\":\"1\",\"placeholder\":`minimum database Memory size (GB) needed before adding ElastiCache`},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.caching_minmem),callback:function ($$v) {_vm.$set(_vm.form, \"caching_minmem\", $$v)},expression:\"form.caching_minmem\"}})],2):_vm._e(),(_vm.IS_EXADATA)?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This is the minimum IO Throughput needed to apply the post-Exadata tuning assumptions. Databases with a smaller IO throughput will be ignored/skipped when applying the tuning assumptions.'),expression:\"'This is the minimum IO Throughput needed to apply the post-Exadata tuning assumptions. Databases with a smaller IO throughput will be ignored/skipped when applying the tuning assumptions.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"post-Exadata tuning IO Throughput minimum threshold (MB/s):\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"20px\"}}),_vm._v(\" post-Exadata tuning IO Throughput minimum threshold (MB/s): \")]),_c('b-form-input',{attrs:{\"size\":\"sm\",\"type\":\"number\",\"step\":\"1\",\"placeholder\":`minimum IO throughput (MB/s) before applying tuning assumption`},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.smartscan_minimum),callback:function ($$v) {_vm.$set(_vm.form, \"smartscan_minimum\", $$v)},expression:\"form.smartscan_minimum\"}})],2):_vm._e(),(_vm.IS_EXADATA)?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('When moving away from Exadata, a common technique is to increasing the memory allocation for the buffer cache.'),expression:\"'When moving away from Exadata, a common technique is to increasing the memory allocation for the buffer cache.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Boost post-Exadata Memory target?:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('template',{slot:\"label\"},[_c('img',{attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"20px\"}}),_vm._v(\" Boost post-Exadata Memory target?: \")]),_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.exa_memory_algo),callback:function ($$v) {_vm.$set(_vm.form, \"exa_memory_algo\", $$v)},expression:\"form.exa_memory_algo\"}},[_c('option',{attrs:{\"value\":\"em0\"}},[_vm._v(\"No - leave Memory target alone\")]),_c('option',{attrs:{\"value\":\"em1\"}},[_vm._v(\"Yes - favor a bigger Memory target to ease post-Exadata transition\")])])],2):_vm._e(),(_vm.IS_PDB)?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('You can use this control to tell DBCSI what Oracle AWR data source to use for PDB-level metrics. In some cases, Oracle AWR seems to mis-report PDB-level metrics (such as surprisingly low or high values) and you can tell DBCSI to use data from the other AWR table to work-around this AWR problem.'),expression:\"'You can use this control to tell DBCSI what Oracle AWR data source to use for PDB-level metrics. In some cases, Oracle AWR seems to mis-report PDB-level metrics (such as surprisingly low or high values) and you can tell DBCSI to use data from the other AWR table to work-around this AWR problem.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"PDB Metric Data Source:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.pdb_algo),callback:function ($$v) {_vm.$set(_vm.form, \"pdb_algo\", $$v)},expression:\"form.pdb_algo\"}},[_c('option',{attrs:{\"value\":\"pdb1\"}},[_vm._v(\"Use Oracle's DBA_HIST_CON_SYSMETRIC_SUMM table for PDB-level CPU and IO Throughput\")]),_c('option',{attrs:{\"value\":\"pdb2\"}},[_vm._v(\"Use Oracle's DBA_HIST_RSRC_PDB_METRIC table for PDB-level CPU and IO Throughput\")])])],1):_vm._e(),(_vm.form.se_algo=='rac')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI the minimum number of Real Application Cluster Nodes to use. DBCSI may choose to use more nodes if needed to meet your target values. The Buffer setting increases the target values before sizing for when you might want to account for scaling overhead with the RAC clustering for your workload.'),expression:\"'This tells DBCSI the minimum number of Real Application Cluster Nodes to use. DBCSI may choose to use more nodes if needed to meet your target values. The Buffer setting increases the target values before sizing for when you might want to account for scaling overhead with the RAC clustering for your workload.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"RAC Minimum Node Preference:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.rac_min_node_algo),callback:function ($$v) {_vm.$set(_vm.form, \"rac_min_node_algo\", $$v)},expression:\"form.rac_min_node_algo\"}},[_c('option',{attrs:{\"value\":\"2\"}},[_vm._v(\"2 Nodes\")]),_c('option',{attrs:{\"value\":\"3\"}},[_vm._v(\"3 Nodes\")])])],1):_vm._e(),(_vm.form.se_algo=='rac')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('The Buffer setting optionally increases the target values before sizing for when you might want to account for potential scaling overhead with the RAC clustering for your workload.'),expression:\"'The Buffer setting optionally increases the target values before sizing for when you might want to account for potential scaling overhead with the RAC clustering for your workload.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"RAC Buffer Preference:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.rac_buffer_algo),callback:function ($$v) {_vm.$set(_vm.form, \"rac_buffer_algo\", $$v)},expression:\"form.rac_buffer_algo\"}},[_c('option',{attrs:{\"value\":\"0\"}},[_vm._v(\"No added target value buffer\")]),_c('option',{attrs:{\"value\":\"10\"}},[_vm._v(\"Add a target value of buffer of 10% when calculating requirements\")])])],1):_vm._e(),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI when to configure MultiAZ.'),expression:\"'This tells DBCSI when to configure MultiAZ.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"MultiAZ Preference:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.multiAZ_algo),callback:function ($$v) {_vm.$set(_vm.form, \"multiAZ_algo\", $$v)},expression:\"form.multiAZ_algo\"}},[_c('option',{attrs:{\"value\":\"auto\"}},[_vm._v(\"Configure MultiAZ when source database uses RAC\")]),_c('option',{attrs:{\"value\":\"Y\"}},[_vm._v(\"Always configure using MultiAZ\")]),_c('option',{attrs:{\"value\":\"N\"}},[_vm._v(\"Never configure using MultiAZ\")])])],1),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI what kind of storage to provision for RDS. The Prefer gp2/gp3 option will try to use gp2/gp3 unless it finds it needs to move to io1/io2 to meet one of the IO target values'),expression:\"'This tells DBCSI what kind of storage to provision for RDS. The Prefer gp2/gp3 option will try to use gp2/gp3 unless it finds it needs to move to io1/io2 to meet one of the IO target values'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"EBS Preference:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.ebs_algo),callback:function ($$v) {_vm.$set(_vm.form, \"ebs_algo\", $$v)},expression:\"form.ebs_algo\"}},[_c('option',{attrs:{\"value\":\"p-gp\"}},[_vm._v(\"Prefer gp2/gp3\")]),_c('option',{attrs:{\"value\":\"gp2\"}},[_vm._v(\"Always use gp2\")]),_c('option',{attrs:{\"value\":\"gp3\"}},[_vm._v(\"Always use gp3\")]),_c('option',{attrs:{\"value\":\"io1\"}},[_vm._v(\"Always use io1\")]),_c('option',{attrs:{\"value\":\"io2\"}},[_vm._v(\"Always use io2\")])])],1),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI if you want to only consider Shapes with local storage. Some customers prefer to have local storage for temporary tablespace usage or for the Database Flash Cache feature.'),expression:\"'This tells DBCSI if you want to only consider Shapes with local storage. Some customers prefer to have local storage for temporary tablespace usage or for the Database Flash Cache feature.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Local Storage Preference:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.nvme_shape_algo),callback:function ($$v) {_vm.$set(_vm.form, \"nvme_shape_algo\", $$v)},expression:\"form.nvme_shape_algo\"}},[_c('option',{attrs:{\"value\":\"Y\"}},[_vm._v(\"Only consider shapes with local storage (e.g. r5d,m5d,r6id,...)\")]),_c('option',{attrs:{\"value\":\"N\"}},[_vm._v(\"Consider any shape\")])])],1),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI if you want to consider T-shapes with burstable CPU. Some customers prefer to avoid T-shapes with burstable CPU when they are bringing expensive per-CPU Oracle licenses '),expression:\"'This tells DBCSI if you want to consider T-shapes with burstable CPU. Some customers prefer to avoid T-shapes with burstable CPU when they are bringing expensive per-CPU Oracle licenses '\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"T-Shape Preference:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.tshape_algo),callback:function ($$v) {_vm.$set(_vm.form, \"tshape_algo\", $$v)},expression:\"form.tshape_algo\"}},[_c('option',{attrs:{\"value\":\"Y\"}},[_vm._v(\"Consider T-shapes (burstable CPU)\")]),_c('option',{attrs:{\"value\":\"N\"}},[_vm._v(\"Do not consider T-shapes (burstable CPU)\")])])],1),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI if you want to consider RDS extended memory shapes like r5.xlarge.tpc2.mem2x'),expression:\"'This tells DBCSI if you want to consider RDS extended memory shapes like r5.xlarge.tpc2.mem2x'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Extended Memory Shape Preference:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.extMemShape_algo),callback:function ($$v) {_vm.$set(_vm.form, \"extMemShape_algo\", $$v)},expression:\"form.extMemShape_algo\"}},[_c('option',{attrs:{\"value\":\"Y\"}},[_vm._v(\"Consider RDS extended memory shapes like r5.xlarge.tpc2.mem2x\")]),_c('option',{attrs:{\"value\":\"N\"}},[_vm._v(\"Do not consider RDS extended memory shapes\")])])],1),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI if you want to consider bursting IO characteristics of the compute shape as a way to meet IO target values. '),expression:\"'This tells DBCSI if you want to consider bursting IO characteristics of the compute shape as a way to meet IO target values. '\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Bursting IO Preference:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.bursting_algo),callback:function ($$v) {_vm.$set(_vm.form, \"bursting_algo\", $$v)},expression:\"form.bursting_algo\"}},[_c('option',{attrs:{\"value\":\"Y\"}},[_vm._v(\"Consider burstable IO performance for compute shapes\")]),_c('option',{attrs:{\"value\":\"N\"}},[_vm._v(\"Evaluate compute shapes only on their baseline IO performance\")])])],1),_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI what to do when you have a child PDB and its parent CDB in the same set.'),expression:\"'This tells DBCSI what to do when you have a child PDB and its parent CDB in the same set.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"PDB and CDB Overlap Preference:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.changeOverlap},model:{value:(_vm.form.pdb_and_cdb_exclude_algo),callback:function ($$v) {_vm.$set(_vm.form, \"pdb_and_cdb_exclude_algo\", $$v)},expression:\"form.pdb_and_cdb_exclude_algo\"}},[_c('option',{attrs:{\"value\":\"none\"}},[_vm._v(\"Treat PDBs and CDBs as separate independent databases and include both\")]),_c('option',{attrs:{\"value\":\"excludePDB\"}},[_vm._v(\"Exclude the PDB from totals and CSV downloads if the CDB is also in the batch\")]),_c('option',{attrs:{\"value\":\"excludeCDB\"}},[_vm._v(\"Exclude the CDB from totals and CSV downloads if the PDB is also in the batch\")])])],1),(false)?_c('b-form-group',{attrs:{\"label\":\"Use saved targets?:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},model:{value:(_vm.form.savedtargets_algo),callback:function ($$v) {_vm.$set(_vm.form, \"savedtargets_algo\", $$v)},expression:\"form.savedtargets_algo\"}},[_c('option',{attrs:{\"value\":\"targ1\"}},[_vm._v(\"Don't use existing saved targets\")]),_c('option',{attrs:{\"value\":\"targ2\",\"disabled\":\"\"}},[_vm._v(\"Use saved targets, if they exist\")])])],1):_vm._e(),(this.showBeta)?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI if it should add a Read Replica to the configuration.'),expression:\"'This tells DBCSI if it should add a Read Replica to the configuration.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Read Replica Preference:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.readreplica_algo),callback:function ($$v) {_vm.$set(_vm.form, \"readreplica_algo\", $$v)},expression:\"form.readreplica_algo\"}},[_c('option',{attrs:{\"value\":\"N\"}},[_vm._v(\"Do not add a Read Replica to the configuration\")]),_c('option',{attrs:{\"value\":\"Y\"}},[_vm._v(\"Always add a Read Replica to the configuration\")]),_c('option',{attrs:{\"value\":\"auto\"}},[_vm._v(\"Add a Read Replica to the configuration where Data Guard is used\")])])],1):_vm._e(),(_vm.form.readreplica_algo=='Y' || _vm.form.readreplica_algo=='auto')?_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:('This tells DBCSI the algorithm to use to size the Read Replica.'),expression:\"'This tells DBCSI the algorithm to use to size the Read Replica.'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Read Replica Sizing Algorithm:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.readreplica_size_algo),callback:function ($$v) {_vm.$set(_vm.form, \"readreplica_size_algo\", $$v)},expression:\"form.readreplica_size_algo\"}},[_c('option',{attrs:{\"value\":\"rr50\"}},[_vm._v(\"Size Read Replica instance 50% smaller than primary\")]),_c('option',{attrs:{\"value\":\"rr100\"}},[_vm._v(\"Size Read Replica instance equivalent to primary\")])])],1):_vm._e(),(_vm.form.readreplica_algo=='Y' || _vm.form.readreplica_algo=='auto')?_c('b-form-group',{attrs:{\"label\":\"AWS Region for Read Replica:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\",\"options\":_vm.region_lov},on:{\"change\":_vm.triggerFullRecalculate},model:{value:(_vm.form.readreplica_region),callback:function ($$v) {_vm.$set(_vm.form, \"readreplica_region\", $$v)},expression:\"form.readreplica_region\"}})],1):_vm._e()],1)],1)],1),_c('p'),_c('b-alert',{attrs:{\"show\":_vm.triggerFullRecalculateFlag,\"variant\":\"danger\"}},[_vm._v(_vm._s((this.scenarioCount==0) ? \"To get started: choose your algorithms, name your scenario, and click the Create New Scenario button\" : \"The algorithm selections have been changed. To apply your new choices, choose to either create a new a scenario or replace an existing one.\"))]),_c('b-card',{attrs:{\"bg-variant\":\"light\"}},[_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`You can use the scenario feature to compare different algorithms or different preferences. For example, you can compare the default algorithm choices against a more conservative set of choices, or compare the different Optimization Goal preferences against each other.`),expression:\"`You can use the scenario feature to compare different algorithms or different preferences. For example, you can compare the default algorithm choices against a more conservative set of choices, or compare the different Optimization Goal preferences against each other.`\",modifiers:{\"hover\":true}}],staticClass:\"mb-0\",attrs:{\"label-cols-lg\":\"3\",\"label\":\"Create New Scenario\",\"label-size\":\"lg\",\"label-class\":\"font-weight-bold pt-0\",\"title\":\"Scenario Ideas\"}},[_c('b-form-group',{attrs:{\"label\":\"Scenario Name:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-input',{attrs:{\"size\":\"sm\",\"placeholder\":`Scenario ${this.scenarioCount+1}`},model:{value:(_vm.scenarioName),callback:function ($$v) {_vm.scenarioName=$$v},expression:\"scenarioName\"}})],1),_c('b-form-group',{attrs:{\"label\":\"\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-button',{attrs:{\"type\":\"button\",\"block\":\"\",\"variant\":\"primary\",\"disabled\":this.batchItems.length==0 || this.batchItems[0].row=='Loading...' || this.batchItems[0].row=='Error Loading??' || this.disableScenarioButton},on:{\"click\":_vm.createNewScenario}},[_vm._v(\"Create New Scenario\")])],1)],1)],1),(this.scenarioCount>0)?_c('b-card',{attrs:{\"bg-variant\":\"light\"}},[_c('b-form-group',{staticClass:\"mb-0\",attrs:{\"label-cols-lg\":\"3\",\"label\":\"Replace Existing Scenario\",\"label-size\":\"lg\",\"label-class\":\"font-weight-bold pt-0\"}},[_c('b-form-group',{attrs:{\"label\":\"Existing Scenario:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"options\":_vm.scenarios,\"size\":\"sm\"},model:{value:(_vm.scenarioSelected),callback:function ($$v) {_vm.scenarioSelected=$$v},expression:\"scenarioSelected\"}})],1),_c('b-form-group',{attrs:{\"label\":\"\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-button',{attrs:{\"type\":\"button\",\"block\":\"\",\"variant\":\"primary\",\"disabled\":(this.scenarioCount==0) || this.batchItems.length==0 || this.batchItems[0].row=='Loading...' || !_vm.triggerFullRecalculateFlag || this.disableScenarioButton},on:{\"click\":_vm.replaceExistingScenario}},[_vm._v(\"Replace Existing Scenario\"+_vm._s((_vm.scenarioCount==0) ? ' - disabled until you create a scenario' : (!_vm.triggerFullRecalculateFlag) ? ' - disabled until you change an algorithm' : ''))])],1)],1)],1):_vm._e(),(this.scenarioCount>0)?_c('b-card',{attrs:{\"bg-variant\":\"light\"}},[_c('b-form-group',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`You can manually edit the target values for a scenario. This method will make a copy of the specified scenario and then allow you to hand-edit its target values as needed.`),expression:\"`You can manually edit the target values for a scenario. This method will make a copy of the specified scenario and then allow you to hand-edit its target values as needed.`\",modifiers:{\"hover\":true}}],staticClass:\"mb-0\",attrs:{\"label-cols-lg\":\"3\",\"label\":\"Manually Edit Target Values\",\"label-size\":\"lg\",\"label-class\":\"font-weight-bold pt-0\",\"title\":\"Manually Edit Values\"}},[_c('b-form-group',{attrs:{\"label\":\"Existing Scenario:\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"options\":_vm.scenarios,\"size\":\"sm\"},model:{value:(_vm.scenarioSelected),callback:function ($$v) {_vm.scenarioSelected=$$v},expression:\"scenarioSelected\"}})],1),_c('b-form-group',{attrs:{\"label\":\"\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-button',{attrs:{\"type\":\"button\",\"block\":\"\",\"variant\":\"primary\",\"disabled\":(this.scenarioCount==0) || this.batchItems.length==0 || this.batchItems[0].row=='Loading...' || this.disableScenarioButton},on:{\"click\":_vm.manualEditScenario}},[_vm._v(\"Manually Edit Target Values\"+_vm._s((_vm.scenarioCount==0) ? ' - disabled until you create a scenario' : ''))])],1)],1)],1):_vm._e(),_c('p')],1)]),_c('b-list-group-item',{attrs:{\"variant\":\"light\"}},[_c('div',[_c('b-alert',{attrs:{\"show\":_vm.showAlertRecalc,\"variant\":_vm.alertStyleRecalc}},[_vm._v(_vm._s(_vm.alertTextRecalc))]),(this.showODBAWS && (this.infrastructure.length > 0) && (this.form.odbAWS_algo=='Y'))?_c('b-card',{attrs:{\"header\":\"Oracle Database@AWS Infrastructure\"}},[((this.scenarioCount>0))?_c('span',[_c('p'),_vm._l((this.totalScenarioNames),function(scenario,index){return _c('span',{key:scenario,staticStyle:{\"font-size\":\"14px\"}},[_c('span',[_vm._v(\"ODB@AWS Totals for: \"),_c('b',[_vm._v(_vm._s(scenario))]),_vm._v(\". Total \"+_vm._s(_vm.totalODBUsageUnits[index])+\" = \"+_vm._s(_vm.totalODBUsage[index])+\". Total Monthly Estimate = $ \"+_vm._s(Math.round(100*_vm.totalODBcost[index])/100)+\" \")]),_c('br')])}),(this.pdb_and_cdb_pairs_in_batch && this.form.pdb_and_cdb_exclude_algo == 'excludePDB')?_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"(Note: PDBs which overlap with a CDB in this batch are excluded from calculations)\")]):_vm._e(),(this.pdb_and_cdb_pairs_in_batch && this.form.pdb_and_cdb_exclude_algo == 'excludeCDB')?_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"(Note: CDBs which overlap with a PDB in this batch are excluded from calculations)\")]):_vm._e()],2):_vm._e(),_c('p'),_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The table below shows the Oracle Database@AWS Infrastructure estimated by your algorithms.\")]),_c('p'),_c('div',[(this.showODBAWS && (this.infrastructure.length > 0) && (this.form.odbAWS_algo=='Y'))?_c('b-table',{attrs:{\"striped\":\"\",\"hover\":\"\",\"responsive\":\"\",\"bordered\":\"\",\"small\":\"\",\"items\":_vm.infrastructure,\"fields\":_vm.infraFields,\"sort-by\":_vm.infraSortBy},on:{\"update:sortBy\":function($event){_vm.infraSortBy=$event},\"update:sort-by\":function($event){_vm.infraSortBy=$event}},scopedSlots:_vm._u([{key:\"cell(row)\",fn:function(row){return [_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`Scenario: ${row.item.scenarioName}`, content:`${row.item.assumptionsString}`, html: true}),expression:\"{title:`Scenario: ${row.item.scenarioName}`, content:`${row.item.assumptionsString}`, html: true}\",modifiers:{\"hover\":true}}]},[_vm._v(\" \"+_vm._s(row.item.row))]),(row.item.manual!=undefined && row.item.manual=='YES')?_c('span',[_c('br'),_vm._v(\"[Manual Edit]\")]):_vm._e(),_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`In-Region MultiAZ Role`, content:`This row represents the Dedicated Infrastructure for the ${row.item.role} AZ`, html: true}),expression:\"{title:`In-Region MultiAZ Role`, content:`This row represents the Dedicated Infrastructure for the ${row.item.role} AZ`, html: true}\",modifiers:{\"hover\":true}}]},[_c('br'),_c('br'),_vm._v(\"Role: \"+_vm._s(row.item.role))])]}},{key:\"cell(service)\",fn:function(row){return [(row.item.service=='exacs-dedicated')?_c('span',[_vm._v(\" Exadata Database Service on Dedicated Infrastructure\")]):_vm._e(),(row.item.service=='adb-dedicated')?_c('span',[_vm._v(\" Autonomous Database on Dedicated Infrastructure\")]):_vm._e(),_c('br'),_c('span',{staticStyle:{\"font-size\":\"8px\"}},[_c('a',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`ODB@AWS`, content:`This is a link to Oracle's landing page for ODB@AWS. You can find sub-pages for pricing, documentation, tutorials, etc.`, html: true}),expression:\"{title:`ODB@AWS`, content:`This is a link to Oracle's landing page for ODB@AWS. You can find sub-pages for pricing, documentation, tutorials, etc.`, html: true}\",modifiers:{\"hover\":true}}],attrs:{\"href\":\"https://www.oracle.com/cloud/aws/\",\"target\":\"_blank\"}},[_vm._v(\"Oracle's_Page\")]),_c('br')]),_c('span',{staticStyle:{\"font-size\":\"8px\"}},[_c('a',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`ODB@AWS`, content:`This is a link to AWS's documentation for the ODB@AWS offering.`, html: true}),expression:\"{title:`ODB@AWS`, content:`This is a link to AWS's documentation for the ODB@AWS offering.`, html: true}\",modifiers:{\"hover\":true}}],attrs:{\"href\":\"https://docs.aws.amazon.com/odb/\",\"target\":\"_blank\"}},[_vm._v(\"AWS's_Page\")]),_c('br')]),(_vm.currentEmployee)?_c('span',{staticStyle:{\"font-size\":\"8px\"}},[_c('a',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`ODB@AWS`, content:`This is a link to an AWS internal highspot page for the ODB@AWS offering. This link does not appear for partners or customer users.`, html: true}),expression:\"{title:`ODB@AWS`, content:`This is a link to an AWS internal highspot page for the ODB@AWS offering. This link does not appear for partners or customer users.`, html: true}\",modifiers:{\"hover\":true}}],attrs:{\"href\":\"https://aws.highspot.com/items/66db5049cab07d4364f3d794?lfrm=isd.9\",\"target\":\"_blank\"}},[_vm._v(\"Internal_Page\")])]):_vm._e()]}},{key:\"cell(monthly_estimate)\",fn:function(row){return [_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${row.item.summaryText}`),expression:\"`${row.item.summaryText}`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"ODB@AWS Estimate\"}},[_vm._v(_vm._s(row.item.monthly_estimate)+\" \"),_c('br'),_c('br'),_vm._v(\" \"+_vm._s(row.item.UsageUnits_provisioned)+\" \"+_vm._s(row.item.Usage_units)),_c('br'),_vm._v(_vm._s((row.item.licenseType==\"BYOL\" ? \"BYOL\" : \"License Included\"))+\" \"),_c('br'),_c('br')])]}},{key:\"cell(dbservers)\",fn:function(row){return [_c('span',[_vm._v(\" \"+_vm._s(row.item.dbservers)),_c('br'),_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`Totals across ${row.item.dbservers} nodes`, content:`${row.item.Usage_units}: ${row.item.UsageUnits_provisioned} provisioned out of ${row.item.UsageUnits_available} available.
Memory: ${row.item.Memory_target} GB provisioned out of ${row.item.Memory_available} available.

${row.item.Usage_comments}`, html: true}),expression:\"{title:`Totals across ${row.item.dbservers} nodes`, content:`${row.item.Usage_units}: ${row.item.UsageUnits_provisioned} provisioned out of ${row.item.UsageUnits_available} available.
Memory: ${row.item.Memory_target} GB provisioned out of ${row.item.Memory_available} available.

${row.item.Usage_comments}`, html: true}\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\"}}),_c('br'),_c('br'),_vm._v(\" \"+_vm._s(row.item.model)+\" \")])]}},{key:\"cell(storageservers)\",fn:function(row){return [_c('span',[_vm._v(\" \"+_vm._s(row.item.storageservers)),_c('br'),_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`Totals across ${row.item.storageservers} storage servers`, content:`Total Storage: ${row.item.storage_total_available} TB.
DATA disk group: ${row.item.storage_data_dg} TB (${row.item.storage_target} GB needed/target).
RECO disk group: ${row.item.storage_reco_dg} TB.
SPARSE disk group: ${row.item.storage_sparse_dg} TB.

${row.item.storage_comments}`, html: true}),expression:\"{title:`Totals across ${row.item.storageservers} storage servers`, content:`Total Storage: ${row.item.storage_total_available} TB.
DATA disk group: ${row.item.storage_data_dg} TB (${row.item.storage_target} GB needed/target).
RECO disk group: ${row.item.storage_reco_dg} TB.
SPARSE disk group: ${row.item.storage_sparse_dg} TB.

${row.item.storage_comments}`, html: true}\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\"}}),_c('br'),_c('br'),_vm._v(\" \"+_vm._s(row.item.model)+\" \")])]}},{key:\"cell(UsageUnits_target)\",fn:function(row){return [_c('span',[_vm._v(\" \"+_vm._s(row.item.UsageUnits_target)+\" \"+_vm._s(row.item.Usage_units)),_c('br'),( (row.item.Usage_comments!=undefined)&&(row.item.Usage_comments!='') )?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${row.item.Usage_comments}`),expression:\"`${row.item.Usage_comments}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Usage Comments\"}}):_vm._e()])]}}],null,false,723506805)}):_vm._e(),_vm._l((_vm.infraDisclaimerLists),function(list,index){return _c('span',{key:list,staticStyle:{\"font-size\":\"12px\"}},[_c('span',[_vm._v(_vm._s(list))]),_c('br')])})],2)]):_vm._e(),_c('div',{attrs:{\"id\":\"databases\"}},[_c('b-card',{attrs:{\"header\":\"Databases\"}},[((this.scenarioCount>0))?_c('span',[_c('p'),_vm._l((this.totalScenarioNames),function(scenario,index){return _c('span',{key:scenario,staticStyle:{\"font-size\":\"14px\"}},[_c('span',[_vm._v(\"RDS-Oracle Totals for: \"),_c('b',[_vm._v(_vm._s(scenario))]),_vm._v(\". Total VCPU = \"+_vm._s(_vm.totalRDSVCPU[index])+\". Total Monthly Estimate = $ \"+_vm._s(Math.round(_vm.totalRDScost[index]*100)/100)+\" \"),((_vm.totalUnshapedRDS[index]>0))?_c('span',[_c('br'),_vm._v(\"(Note: there are \"+_vm._s(_vm.totalUnshapedRDS[index])+\" databases that were not sized for RDS-Oracle and are not included in the above line's totals)\")]):_vm._e()]),_c('br')])}),(this.pdb_and_cdb_pairs_in_batch && this.form.pdb_and_cdb_exclude_algo == 'excludePDB')?_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"(Note: PDBs which overlap with a CDB in this batch are excluded from the above totals)\")]):_vm._e(),(this.pdb_and_cdb_pairs_in_batch && this.form.pdb_and_cdb_exclude_algo == 'excludeCDB')?_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"(Note: CDBs which overlap with a PDB in this batch are excluded from the above totals)\")]):_vm._e()],2):_vm._e(),_c('p'),_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The table below shows the target values and configurations calculated by your algorithms. You can manually edit a scenario to adjust these target values by hand if desired.\")]),_c('p'),_c('b-pagination',{attrs:{\"total-rows\":_vm.batchItems.length,\"per-page\":_vm.perPage,\"size\":\"sm\",\"align\":\"center\"},model:{value:(_vm.currentInputPage),callback:function ($$v) {_vm.currentInputPage=$$v},expression:\"currentInputPage\"}}),_c('b-table',{attrs:{\"per-page\":_vm.perPage,\"current-page\":_vm.currentInputPage,\"striped\":\"\",\"hover\":\"\",\"responsive\":\"\",\"bordered\":\"\",\"small\":\"\",\"items\":_vm.batchItems,\"fields\":_vm.inputFields,\"sort-by\":_vm.inputSortBy},on:{\"update:sortBy\":function($event){_vm.inputSortBy=$event},\"update:sort-by\":function($event){_vm.inputSortBy=$event}},scopedSlots:_vm._u([{key:\"cell(selected)\",fn:function({ item, field: { key } }){return [_c('b-checkbox',{model:{value:(item[key]),callback:function ($$v) {_vm.$set(item, key, $$v)},expression:\"item[key]\"}})]}},{key:\"cell(odb_prorated_monthly_estimate)\",fn:function(row){return [(row.item.odb_shape!=undefined && row.item.odb_total_monthly_estimate!=0)?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`Pro-Rated Cost Split/Allocation`, content:`This is the total cost of the ODB@AWS Infrastructure and Usage split (pro-rated) across each individual database. This is for comparison purposes on a database-by-database level, but you should realize that this projected per-database cost is only valid if you bring all the databases in the set to ODB@AWS. The split is based on allocating the Usage costs by relative VCPU share, the DB Server costs by relative Memory share, and the Storage Server costs by relative Disk Space share.

${row.item.odb_prorated_comments}`, html: true}),expression:\"{title:`Pro-Rated Cost Split/Allocation`, content:`This is the total cost of the ODB@AWS Infrastructure and Usage split (pro-rated) across each individual database. This is for comparison purposes on a database-by-database level, but you should realize that this projected per-database cost is only valid if you bring all the databases in the set to ODB@AWS. The split is based on allocating the Usage costs by relative VCPU share, the DB Server costs by relative Memory share, and the Storage Server costs by relative Disk Space share.

${row.item.odb_prorated_comments}`, html: true}\",modifiers:{\"hover\":true}}]},[_vm._v(\" \"+_vm._s(row.item.odb_prorated_monthly_estimate)+\" \"),_c('br'),_c('br'),_vm._v(\" (This is a share of the overall ODB@AWS total of \"+_vm._s(row.item.odb_total_monthly_estimate)+\") \")]):_vm._e(),(row.item.odb_shape!=undefined && row.item.odb_total_monthly_estimate==0)?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`Not included in Cost Split/Allocation`, content:`${row.item.odb_prorated_comments}`, html: true}),expression:\"{title:`Not included in Cost Split/Allocation`, content:`${row.item.odb_prorated_comments}`, html: true}\",modifiers:{\"hover\":true}}]},[_vm._v(\" N/A \")]):_vm._e()]}},{key:\"cell(odb_shape)\",fn:function(row){return [(row.item.odb_shape!=undefined)?_c('span',[(row.item.odb_shape!='N/A')?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`Oracle Database@AWS`, content:`Specifications: ${row.item.odb_specifications}.

`, html: true}),expression:\"{title:`Oracle Database@AWS`, content:`Specifications: ${row.item.odb_specifications}.

`, html: true}\",modifiers:{\"hover\":true}}]},[_vm._v(_vm._s(row.item.odb_shape)+\" \"),_c('br'),_c('br'),_c('img',{attrs:{\"src\":require(\"@/assets/Exadata.png\"),\"height\":\"30px\"}})]):_vm._e()]):_vm._e()]}},{key:\"cell(VCPU)\",fn:function(row){return [(row.item.manual!=undefined && row.item.manual=='YES' )?[_c('b-form-input',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.manualEditReconfig},model:{value:(row.item.VCPU),callback:function ($$v) {_vm.$set(row.item, \"VCPU\", $$v)},expression:\"row.item.VCPU\"}})]:[_vm._v(\" \"+_vm._s(row.item.VCPU)+\" \"),(((row.item.AdjustedVCPU) ))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is projected value with caching assumptions applied`),expression:\"`This is projected value with caching assumptions applied`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"With Caching Assumptions\"}},[_c('br'),_vm._v(\"[\"+_vm._s(Math.round(row.item.AdjustedVCPU*10)/10)+\"=w/Cache]\")]):_vm._e()],_c('br'),_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal\",value:(`mCPU${row.item.collectionID}${row.item.scenario}${row.item.manual}`),expression:\"`mCPU${row.item.collectionID}${row.item.scenario}${row.item.manual}`\"}],attrs:{\"type\":\"button\",\"size\":\"sm\",\"variant\":\"link\",\"disabled\":row.item.collectionID==undefined}},[_vm._v(\"...\")]),((row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.gap_vcpu!=undefined)&&(row.item.targetconfig_rds.gap_vcpu!=''))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Consider if you can reduce the VCPU from ${ (row.item.AdjustedVCPU) ? row.item.AdjustedVCPU : row.item.VCPU} to ${(((row.item.AdjustedVCPU) ? row.item.AdjustedVCPU : row.item.VCPU)*1-row.item.targetconfig_rds.gap_vcpu).toFixed(0)} to use a smaller shape. [ ${row.item.targetconfig_rds.closeness_string} ]`),expression:\"`Consider if you can reduce the VCPU from ${ (row.item.AdjustedVCPU) ? row.item.AdjustedVCPU : row.item.VCPU} to ${(((row.item.AdjustedVCPU) ? row.item.AdjustedVCPU : row.item.VCPU)*1-row.item.targetconfig_rds.gap_vcpu).toFixed(0)} to use a smaller shape. [ ${row.item.targetconfig_rds.closeness_string} ]`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/CostSaving.png\"),\"height\":\"20px\",\"title\":\"Cost-Optimization Oppty?\"}}):_vm._e(),( (row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.cpu_warnings_alert!=undefined)&&(row.item.targetconfig_rds.cpu_warnings_alert!='') )?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${row.item.targetconfig_rds.cpu_warnings_alert}`),expression:\"`${row.item.targetconfig_rds.cpu_warnings_alert}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"Alerts\"}}):_vm._e(),( (row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.cpu_warnings_burst!=undefined)&&(row.item.targetconfig_rds.cpu_warnings_burst!='') )?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${row.item.targetconfig_rds.cpu_warnings_burst}`),expression:\"`${row.item.targetconfig_rds.cpu_warnings_burst}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/burst.png\"),\"height\":\"20px\",\"title\":\"Alerts\"}}):_vm._e(),(( (row.item.cpu_target_comments!=undefined)&&(row.item.cpu_target_comments!='') ) || ( (row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.cpu_warnings_info!=undefined)&&(row.item.targetconfig_rds.cpu_warnings_info!='') ))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${row.item.cpu_target_comments} ${row.item.targetconfig_rds.cpu_warnings_info}`),expression:\"`${row.item.cpu_target_comments} ${row.item.targetconfig_rds.cpu_warnings_info}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Adjustments\"}}):_vm._e(),_c('b-modal',{attrs:{\"id\":`mCPU${row.item.collectionID}${row.item.scenario}${row.item.manual}`,\"title\":\"VCPU Details\",\"ok-only\":\"\",\"size\":\"xl\"}},[_c('div',[_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(_vm._s(((row.item.IS_PDB=='YES')) ? \"This shows the average # of CPU threads used by the PDB during each snapshot time period using the Oracle metric: (CPU Usage Per Sec from DBA_HIST_CON_SYSMETRIC_SUMM) along with the alternate metric: (CPU_CONSUMED_TIME from DBA_HIST_RSRC_PDB_METRIC). Values at the PDB-level are sanity-checked against the CDB (if found in DBCSI) or against typical thresholds, and outliers are not shown. The value can be greater than 1 when multiple CPU threads at active at the same time. For a RAC cluster, this chart aggregates the usage across all instances. Use this chart to help identify a target baseline of CPU threads needed for this database.\" : \"This shows the average and peak # of CPU threads used by the database during each snapshot time period using the Oracle metric: (CPU Usage Per Sec). The value can be greater than 1 when multiple CPU threads at active at the same time. For a RAC cluster, this chart aggregates the usage across all instances. Use this chart to help identify a target baseline of CPU threads needed for this database.\"))]),((row.item.AIX_CPU_ADJUSTMENT_USED*1>0))?_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The following chart has been adjusted for AIX CPU Usage timekeeping by using an AIX Power SMT CPU Time Adjustment multiplier of \"+_vm._s(row.item.AIX_CPU_ADJUSTMENT_USED)+\". \")]):_vm._e(),((!row.item.PLATFORM_NAME.includes('x86')))?_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The Average and Peak CPU Usage lines have been adjusted from the source system's threads (\"+_vm._s(row.item.PLATFORM_NAME)+\") to x86 VCPUs using the CPU Thread Ratio of \"+_vm._s(row.item.cpu_thread_ratio ?? _vm.form.cpu_thread_ratio)+\".\")]):_vm._e()]),(((row.item.IS_PDB=='YES')))?_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Average PDB CPU Usage:Peak PDB CPU Usage:Alternate Average PDB CPU Usage\",\"chart_id\":\"PDB_CPU\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_VCPU*2 : 0}`,\"filter_prompt\":\"(twice the p90 of CDB Peak CPU)\",\"targets\":\"Target\",\"targetValues\":`${row.item.VCPU}`,\"adjustment\":`${(!row.item.PLATFORM_NAME.includes('x86')) ? (row.item.AIX_CPU_ADJUSTMENT_USED*1>0 ? (row.item.cpu_thread_ratio ?? _vm.form.cpu_thread_ratio)*1 / row.item.AIX_CPU_ADJUSTMENT_USED : (row.item.cpu_thread_ratio ?? _vm.form.cpu_thread_ratio)) : '1.0'}`,\"compare_collection_id\":`${row.item.CDB_collectionId}`,\"compare_ctrl_text\":\"Compare to CDB Metrics\",\"compare_label\":\"CDB Average DB CPU Usage:CDB Peak DB CPU Usage\",\"compare_chart_id\":\"CPUAVGPEAK\"}}):_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Average DB CPU Usage:Peak DB CPU Usage\",\"chart_id\":\"CPUAVGPEAK\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_VCPU*2 : 0}`,\"filter_prompt\":\"(twice the p90 of CDB Peak CPU)\",\"targets\":\"Target\",\"targetValues\":`${row.item.VCPU}`,\"adjustment\":`${(!row.item.PLATFORM_NAME.includes('x86')) ? (row.item.AIX_CPU_ADJUSTMENT_USED*1>0 ? (row.item.cpu_thread_ratio ?? _vm.form.cpu_thread_ratio)*1 / row.item.AIX_CPU_ADJUSTMENT_USED : (row.item.cpu_thread_ratio ?? _vm.form.cpu_thread_ratio)) : '1.0'}`,\"compare_collection_id\":`${row.item.CDB_collectionId}`,\"compare_ctrl_text\":\"Compare to CDB Metrics\",\"compare_label\":\"CDB Average DB CPU Usage:CDB Peak DB CPU Usage\",\"compare_chart_id\":\"CPUAVGPEAK\"}}),(row.item.ExadataVCPUAdjustmentText!=undefined)?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(_vm._s(row.item.ExadataVCPUAdjustmentText))])]):_vm._e()],1),_c('div',[(((row.item.NUM_INSTANCES*1>1)))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"And the below chart is the breakout of the Average DB CPU Usage by RAC Instance. This chart can show you how the workload is spread across the different RAC nodes.\")])]):_vm._e(),(((row.item.CONSOLIDATED_DATABASES*1>1)))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"And the below chart is the breakout of the Average DB CPU Usage by child database. This chart can show you how the workload is spread across the different child databases being consolidated together. This is a stacked chart.\")])]):_vm._e(),(( (row.item.NUM_INSTANCES*1>1) || (row.item.CONSOLIDATED_DATABASES*1>1) ))?_c('timechartRACcontainer',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"node\",\"chart_id\":`${(((row.item.IS_PDB=='YES')&&(row.item.pdb_algo=='pdb2'))) ? 'MAIN_METRICS~PDB_CPU_USAGE_PER_S' : 'MAIN_METRICS~cpu_per_s'}`,\"reflines\":\"false\",\"stacked\":\"false\",\"num_instances\":`${row.item.NUM_INSTANCES}`,\"consolidated_databases_num\":`${row.item.CONSOLIDATED_DATABASES}`,\"consolidated_databases_list\":`${row.item.database}`,\"instancenum_list\":`${row.item.INSTANCENUMS}`,\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_VCPU*2 : 0}`,\"adjustment\":`${(!row.item.PLATFORM_NAME.includes('x86'))? (row.item.AIX_CPU_ADJUSTMENT_USED*1>0 ? (row.item.cpu_thread_ratio ?? _vm.form.cpu_thread_ratio)*1 / row.item.AIX_CPU_ADJUSTMENT_USED : (row.item.cpu_thread_ratio ?? _vm.form.cpu_thread_ratio)) : '1.0'}`}}):_vm._e()],1)])]}},{key:\"cell(Throughput)\",fn:function(row){return [(row.item.manual!=undefined && row.item.manual=='YES' )?[_c('b-form-input',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.manualEditReconfig},model:{value:(row.item.Throughput),callback:function ($$v) {_vm.$set(row.item, \"Throughput\", $$v)},expression:\"row.item.Throughput\"}})]:[((row.item.Throughput) && ( (row.item.Exadata!='Yes') || (row.item.smartscan_algo=='ss1') || (row.item.Throughput==row.item.OrigThroughput) ))?_c('span',[_vm._v(_vm._s(row.item.Throughput)+\" MB/s\")]):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.Throughput!=undefined) && (row.item.Throughput!=row.item.OrigThroughput) ))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is the original metric as seen on the Exadata`),expression:\"`This is the original metric as seen on the Exadata`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"Original\"}},[_vm._v(\"[\"+_vm._s(row.item.OrigThroughput)+\"=Exadata]\"),_c('br')]):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.Throughput!=undefined) && (row.item.Throughput!=row.item.OrigThroughput) ))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is an adjusted number based on your Post-Exadata SmartScan Tuning assumption`),expression:\"`This is an adjusted number based on your Post-Exadata SmartScan Tuning assumption`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"Adjustments\"}},[_vm._v(_vm._s(row.item.Throughput)+\" MB/s w/tuning\")]):_vm._e(),(((row.item.AdjustedThroughput) ))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is projected value with caching assumptions applied`),expression:\"`This is projected value with caching assumptions applied`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"With Caching Assumptions\"}},[_c('br'),_vm._v(\"[\"+_vm._s(Math.round(row.item.AdjustedThroughput))+\"=w/Cache]\")]):_vm._e()],_c('br'),_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal\",value:(`mThru${row.item.collectionID}${row.item.scenario}${row.item.manual}`),expression:\"`mThru${row.item.collectionID}${row.item.scenario}${row.item.manual}`\"}],attrs:{\"type\":\"button\",\"size\":\"sm\",\"variant\":\"link\",\"disabled\":row.item.collectionID==undefined}},[_vm._v(\"...\")]),((row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.gap_throughput!=undefined)&&(row.item.targetconfig_rds.gap_throughput!=''))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Consider if you can reduce the Throughput from ${((row.item.AdjustedThroughput) ? row.item.AdjustedThroughput : row.item.Throughput)} MB/s to ${((row.item.AdjustedThroughput) ? row.item.AdjustedThroughput : row.item.Throughput)*1-row.item.targetconfig_rds.gap_throughput} MB/s to use a smaller shape. [ ${row.item.targetconfig_rds.closeness_string} ]`),expression:\"`Consider if you can reduce the Throughput from ${((row.item.AdjustedThroughput) ? row.item.AdjustedThroughput : row.item.Throughput)} MB/s to ${((row.item.AdjustedThroughput) ? row.item.AdjustedThroughput : row.item.Throughput)*1-row.item.targetconfig_rds.gap_throughput} MB/s to use a smaller shape. [ ${row.item.targetconfig_rds.closeness_string} ]`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/CostSaving.png\"),\"height\":\"20px\",\"title\":\"Cost-Optimization Oppty?\"}}):_vm._e(),(( (row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.iomb_warnings_alert!=undefined)&&(row.item.targetconfig_rds.iomb_warnings_alert!='') ))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${(row.item.targetconfig_rds.iomb_warnings_alert!=undefined) ? row.item.targetconfig_rds.iomb_warnings_alert : ''}`),expression:\"`${(row.item.targetconfig_rds.iomb_warnings_alert!=undefined) ? row.item.targetconfig_rds.iomb_warnings_alert : ''}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"Alert\"}}):_vm._e(),(( (row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.iomb_warnings_burst!=undefined)&&(row.item.targetconfig_rds.iomb_warnings_burst!='') ))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${(row.item.targetconfig_rds.iomb_warnings_burst!=undefined) ? row.item.targetconfig_rds.iomb_warnings_burst : ''}`),expression:\"`${(row.item.targetconfig_rds.iomb_warnings_burst!=undefined) ? row.item.targetconfig_rds.iomb_warnings_burst : ''}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/burst.png\"),\"height\":\"20px\",\"title\":\"Bursting\"}}):_vm._e(),(( (row.item.iomb_target_comments!=undefined)&&(row.item.iomb_target_comments!='') ) || ( (row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.iomb_warnings_info!=undefined)&&(row.item.targetconfig_rds.iomb_warnings_info!='') ))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${(row.item.iomb_target_comments!=undefined) ? row.item.iomb_target_comments : ''} ${(row.item.targetconfig_rds.iomb_warnings_info!=undefined) ? row.item.targetconfig_rds.iomb_warnings_info : ''}`),expression:\"`${(row.item.iomb_target_comments!=undefined) ? row.item.iomb_target_comments : ''} ${(row.item.targetconfig_rds.iomb_warnings_info!=undefined) ? row.item.targetconfig_rds.iomb_warnings_info : ''}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Adjustments\"}}):_vm._e(),_c('b-modal',{attrs:{\"id\":`mThru${row.item.collectionID}${row.item.scenario}${row.item.manual}`,\"title\":\"Throughput Details\",\"ok-only\":\"\",\"size\":\"xl\"}},[_c('div',[_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(_vm._s(((row.item.IS_PDB=='YES')) ? \"This shows the average IO throughput rate (MB/s) during each snapshot time period using the Oracle metrics: (Physical Read Total Bytes Per Sec, Physical Write Total Bytes Per Sec from DBA_HIST_CON_SYSMETRIC_SUMM) along with the alternate metric: (IOMBPS from DBA_HIST_RSRC_PDB_METRIC). Values at the PDB-level are sanity-checked against the CDB (if found in DBCSI) or against typical thresholds, and outliers are not shown. For a RAC Cluster, the chart aggregates the metrics across all the instances. For an Exadata system, this does include I/O from the storage cells even I/O avoided via storage index use. Use this chart to help select a target baseline for Throughput for this database.\" : \"This shows the average and peak IO throughput rate (MB/s) during each snapshot time period using the Oracle metrics: (Physical Read Total Bytes Per Sec, Physical Write Total Bytes Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances. For an Exadata system, this does include I/O from the storage cells even I/O avoided via storage index use. Use this chart to help select a target baseline for Throughput for this database.\"))])]),(((row.item.IS_PDB=='YES')))?_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Average PDB Throughput:Peak PDB Throughput:Alternate Average PDB Throughput\",\"chart_id\":\"PDB_IOTHRU\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOMB*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB Throughput)\",\"targets\":\"Target\",\"targetValues\":`${row.item.OrigThroughput}`,\"adjustment\":\"1.0\",\"compare_collection_id\":`${row.item.CDB_collectionId}`,\"compare_ctrl_text\":\"Compare to CDB Metrics\",\"compare_label\":\"Average CDB Throughput:Peak CDB Throughput\",\"compare_chart_id\":\"IO_MBS_AVGPEAK\"}}):_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Average Throughput:Peak Throughput\",\"chart_id\":\"IO_MBS_AVGPEAK\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOMB*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB Throughput)\",\"targets\":\"Target\",\"targetValues\":`${row.item.OrigThroughput}`,\"adjustment\":\"1.0\"}})],1),(((row.item.CONSOLIDATED_DATABASES*1>1)))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart is the breakout of the Average Throughput by child database. This chart can show you how the workload is spread across the different child databases being consolidated together. This is a stacked chart.\")])]):_vm._e(),(( (row.item.CONSOLIDATED_DATABASES*1>1) ))?_c('timechartRACcontainer',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"node\",\"chart_id\":`${(((row.item.IS_PDB=='YES')&&(row.item.pdb_algo=='pdb2'))) ? 'MAIN_METRICS~PDB_CPU_USAGE_PER_S' : 'IO_MBS_AVGCOMBINED'}`,\"reflines\":\"false\",\"stacked\":\"false\",\"num_instances\":`${row.item.NUM_INSTANCES}`,\"consolidated_databases_num\":`${row.item.CONSOLIDATED_DATABASES}`,\"consolidated_databases_list\":`${row.item.database}`,\"instancenum_list\":`${row.item.INSTANCENUMS}`,\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOMB*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB Throughput)\",\"adjustment\":1.0}}):_vm._e(),_c('div',[(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.Throughput!=undefined) && (row.item.Throughput!=row.item.OrigThroughput) ))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart shows the estimated I/O Throughput after adjusting for post-Exadata tuning activities \"+_vm._s(row.item.ExadataAdjustmentText)+\".\")])]):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.Throughput!=undefined) && (row.item.Throughput!=row.item.OrigThroughput) )&&((row.item.IS_PDB=='YES')))?_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Adjusted Average PDB Throughput:Adjusted Peak PDB Throughput:Alternate Adjusted Average PDB Throughput\",\"chart_id\":\"PDB_IOTHRU\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOMB*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB Throughput)\",\"targets\":`Adjusted Target - ${(row.item.Throughput*1).toFixed(0)} MB/s`,\"targetValues\":`${row.item.Throughput}`,\"adjustment\":`${row.item.ExadataAdjustment}`}}):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.Throughput!=undefined) && (row.item.Throughput!=row.item.OrigThroughput) && !(row.item.IS_PDB=='YES')))?_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Adjusted Average Throughput:Adjusted Peak Throughput\",\"chart_id\":\"IO_MBS_AVGPEAK\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOMB*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB Throughput)\",\"targets\":`Adjusted Target - ${(row.item.Throughput*1).toFixed(0)} MB/s`,\"targetValues\":`${row.item.Throughput}`,\"adjustment\":`${row.item.ExadataAdjustment}`}}):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.SmartScanEligible!=undefined) && (row.item.Throughput!=row.item.OrigThroughput) ))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The adjustment logic is to start with the target value for I/O throughput as seen on the source Exadata (\"+_vm._s(row.item.OrigThroughput)+\" MB/s). The \"+_vm._s((row.item.smartscan_algo=='ss2') ? 'MODERATE' : ((row.item.smartscan_algo=='ss3') ? 'HEAVY' : ((row.item.smartscan_algo=='ss4') ? 'VERY HEAVY' : 'LIGHT')))+\" tuning assumption assumes that I/O Throughput can be reduced by a factor of \"+_vm._s((row.item.smartscan_algo=='ss2') ? '3' : ((row.item.smartscan_algo=='ss3') ? '5' : ((row.item.smartscan_algo=='ss4') ? '10' : '2') ))+\". More discussion available internally \"),_c('a',{attrs:{\"href\":\"https://broadcast.amazon.com/videos/441676\",\"target\":\"_blank\"}},[_vm._v(\"here\")]),_vm._v(\".\")])]):_vm._e()],1),_c('br'),_c('br'),((row.item.Exadata=='Yes'))?_c('b-card',[_c('b',[_vm._v(\"Exadata Observations:\")]),((row.item.Exadata=='Yes'))?_c('exadataobservations',{attrs:{\"param_collection_id\":`${row.item.metricsURL}`,\"param_item\":`${JSON.stringify(row.item)}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user}}):_vm._e()],1):_vm._e()],1)]}},{key:\"cell(IOPS)\",fn:function(row){return [(row.item.manual!=undefined && row.item.manual=='YES' )?[_c('b-form-input',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.manualEditReconfig},model:{value:(row.item.IOPS),callback:function ($$v) {_vm.$set(row.item, \"IOPS\", $$v)},expression:\"row.item.IOPS\"}})]:[((row.item.Exadata!='Yes') || (row.item.smartscan_algo=='ss1') || (row.item.IOPS==row.item.OrigIOPS))?_c('span',[_vm._v(_vm._s(row.item.IOPS))]):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.IOPS!=undefined) && (row.item.IOPS!=row.item.OrigIOPS)))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is the original metric as seen on the Exadata`),expression:\"`This is the original metric as seen on the Exadata`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"Original\"}},[_vm._v(\"[\"+_vm._s(row.item.OrigIOPS)+\"=Exadata]\"),_c('br')]):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.IOPS!=undefined) && (row.item.IOPS!=row.item.OrigIOPS) ))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is an adjusted number based on your Post-Exadata SmartScan Tuning assumption`),expression:\"`This is an adjusted number based on your Post-Exadata SmartScan Tuning assumption`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"Adjustments\"}},[_vm._v(_vm._s(row.item.IOPS)+\" w/tuning\")]):_vm._e(),(((row.item.AdjustedIOPS) ))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is projected value with caching assumptions applied`),expression:\"`This is projected value with caching assumptions applied`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"With Caching Assumptions\"}},[_c('br'),_vm._v(\"[\"+_vm._s(Math.round(row.item.AdjustedIOPS))+\"=w/Cache]\")]):_vm._e()],_c('br'),_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal\",value:(`mIOPS${row.item.collectionID}${row.item.scenario}${row.item.manual}`),expression:\"`mIOPS${row.item.collectionID}${row.item.scenario}${row.item.manual}`\"}],attrs:{\"type\":\"button\",\"size\":\"sm\",\"variant\":\"link\",\"disabled\":row.item.collectionID==undefined}},[_vm._v(\"...\")]),((row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.gap_iops!=undefined)&&(row.item.targetconfig_rds.gap_iops!=''))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Consider if you can reduce the IOPS from ${((row.item.AdjustedIOPS) ? row.item.AdjustedIOPS : row.item.IOPS)} to ${((row.item.AdjustedIOPS) ? row.item.AdjustedIOPS : row.item.IOPS)*1-row.item.targetconfig_rds.gap_iops} IOPS to use a smaller shape. [ ${row.item.targetconfig_rds.closeness_string} ]`),expression:\"`Consider if you can reduce the IOPS from ${((row.item.AdjustedIOPS) ? row.item.AdjustedIOPS : row.item.IOPS)} to ${((row.item.AdjustedIOPS) ? row.item.AdjustedIOPS : row.item.IOPS)*1-row.item.targetconfig_rds.gap_iops} IOPS to use a smaller shape. [ ${row.item.targetconfig_rds.closeness_string} ]`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/CostSaving.png\"),\"height\":\"20px\",\"title\":\"Cost-Optimization Oppty?\"}}):_vm._e(),( (row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.iops_warnings_alert!=undefined)&&(row.item.targetconfig_rds.iops_warnings_alert!='') )?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${(row.item.targetconfig_rds.iops_warnings_alert!=undefined) ? row.item.targetconfig_rds.iops_warnings_alert : ''}`),expression:\"`${(row.item.targetconfig_rds.iops_warnings_alert!=undefined) ? row.item.targetconfig_rds.iops_warnings_alert : ''}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"Alerts\"}}):_vm._e(),( (row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.iops_warnings_burst!=undefined)&&(row.item.targetconfig_rds.iops_warnings_burst!='') )?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${(row.item.targetconfig_rds.iops_warnings_burst!=undefined) ? row.item.targetconfig_rds.iops_warnings_burst : ''}`),expression:\"`${(row.item.targetconfig_rds.iops_warnings_burst!=undefined) ? row.item.targetconfig_rds.iops_warnings_burst : ''}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/burst.png\"),\"height\":\"20px\",\"title\":\"Bursting\"}}):_vm._e(),(( (row.item.iops_target_comments!=undefined)&&(row.item.iops_target_comments!='') ) || ( (row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.iops_warnings_info!=undefined)&&(row.item.targetconfig_rds.iops_warnings_info!='') ))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${(row.item.iops_target_comments!=undefined) ? row.item.iops_target_comments : ''} ${(row.item.targetconfig_rds.iops_warnings_info!=undefined) ? row.item.targetconfig_rds.iops_warnings_info : ''}`),expression:\"`${(row.item.iops_target_comments!=undefined) ? row.item.iops_target_comments : ''} ${(row.item.targetconfig_rds.iops_warnings_info!=undefined) ? row.item.targetconfig_rds.iops_warnings_info : ''}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Adjustments\"}}):_vm._e(),_c('b-modal',{attrs:{\"id\":`mIOPS${row.item.collectionID}${row.item.scenario}${row.item.manual}`,\"title\":\"IOPS Details\",\"ok-only\":\"\",\"size\":\"xl\"}},[_c('div',[((row.item.IS_PDB=='YES'))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"This shows the average IOPS during each snapshot time period using the Oracle metric: (IOPS from DBA_HIST_RSRC_PDB_METRIC). This is a PDB-specific metric and may not include some IOPS that happen at the CDB-level. For a RAC Cluster, the chart aggregates the metrics across all the instances. Use this chart to help select a target baseline for IOPS for this database.\")])]):_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"This shows the average and peak rate (Database IO Requests/second) during each snapshot time period using the Oracle metrics: (Physical Read Total IO Requests Per Sec, Physical Write Total IO Requests Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances. Use this chart to help select a target baseline for IOPS for this database.\")])]),((row.item.IS_PDB=='YES'))?_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Average PDB IOPS\",\"chart_id\":\"PDB_IOPS\",\"reflines\":\"false\",\"instance_num\":\"all\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOPS*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB IOPS)\",\"targets\":\"Target\",\"targetValues\":`${row.item.OrigIOPS}`,\"compare_collection_id\":`${row.item.CDB_collectionId}`,\"compare_ctrl_text\":\"Compare to CDB Metrics\",\"compare_label\":\"Average CDB IOPS:Peak CDB IOPS\",\"compare_chart_id\":\"IOPS_AVGPEAK\"}}):_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Average IOPS:Peak IOPS\",\"chart_id\":\"IOPS_AVGPEAK\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"targets\":\"Target\",\"targetValues\":`${row.item.OrigIOPS}`}})],1),(((row.item.CONSOLIDATED_DATABASES*1>1)))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart is the breakout of the Average IOPS by child database. This chart can show you how the workload is spread across the different child databases being consolidated together. This is a stacked chart.\")])]):_vm._e(),(( (row.item.CONSOLIDATED_DATABASES*1>1) ))?_c('timechartRACcontainer',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"node\",\"chart_id\":`${(((row.item.IS_PDB=='YES')&&(row.item.pdb_algo=='pdb2'))) ? 'PDB_IOPS' : 'IOPS_AVGCOMBINED'}`,\"reflines\":\"false\",\"stacked\":\"false\",\"num_instances\":`${row.item.NUM_INSTANCES}`,\"consolidated_databases_num\":`${row.item.CONSOLIDATED_DATABASES}`,\"consolidated_databases_list\":`${row.item.database}`,\"instancenum_list\":`${row.item.INSTANCENUMS}`,\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOPS*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB IOPS)\",\"adjustment\":1.0}}):_vm._e(),_c('div',[(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.IOPS!=undefined) && (row.item.IOPS!=row.item.OrigIOPS) ))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart shows the estimated IOPS after adjusting for post-Exadata tuning activities \"+_vm._s(row.item.ExadataAdjustmentText)+\".\")])]):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1') && (row.item.IOPS!=row.item.OrigIOPS) &&(row.item.IOPS!=undefined))&&((row.item.IS_PDB=='YES')))?_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Adjusted Average PDB IOPS\",\"chart_id\":\"PDB_IOPS\",\"reflines\":\"false\",\"instance_num\":\"all\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOPS*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB IOPS)\",\"targets\":`Adjusted Target - ${(row.item.IOPS*1).toFixed(0)}`,\"targetValues\":`${row.item.IOPS}`,\"adjustment\":`${row.item.ExadataAdjustment}`,\"compare_collection_id\":`${row.item.CDB_collectionId}`,\"compare_ctrl_text\":\"Compare to CDB Metrics\",\"compare_label\":\"Average CDB IOPS:Peak CDB IOPS\",\"compare_chart_id\":\"IOPS_AVGPEAK\"}}):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.IOPS!=undefined) && (row.item.IOPS!=row.item.OrigIOPS) )&&!((row.item.IS_PDB=='YES')))?_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Adjusted Average IOPS:Adjusted Peak IOPS\",\"chart_id\":\"IOPS_AVGPEAK\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"targets\":`Adjusted Target - ${(row.item.IOPS*1).toFixed(0)}`,\"targetValues\":`${row.item.IOPS}`,\"adjustment\":`${row.item.ExadataAdjustment}`}}):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.SmartScanEligible!=undefined) && (row.item.IOPS!=row.item.OrigIOPS) ))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The adjustment logic is to start with the target value for IOPS as seen on the source Exadata (\"+_vm._s(row.item.OrigIOPS)+\"). The \"+_vm._s((row.item.smartscan_algo=='ss2') ? 'MODERATE' : ((row.item.smartscan_algo=='ss3') ? 'HEAVY' : ((row.item.smartscan_algo=='ss4') ? 'VERY HEAVY' : 'LIGHT')))+\" tuning assumption assumes that IOPS can be reduced by a factor of \"+_vm._s((row.item.smartscan_algo=='ss2') ? '3' : ((row.item.smartscan_algo=='ss3') ? '5' : ((row.item.smartscan_algo=='ss4') ? '10' : '2') ))+\". More discussion available internally \"),_c('a',{attrs:{\"href\":\"https://broadcast.amazon.com/videos/441676\",\"target\":\"_blank\"}},[_vm._v(\"here\")]),_vm._v(\".\")])]):_vm._e()],1)],1)]}},{key:\"cell(Memory)\",fn:function(row){return [(row.item.manual!=undefined && row.item.manual=='YES' )?[_c('b-form-input',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.manualEditReconfig},model:{value:(row.item.Memory),callback:function ($$v) {_vm.$set(row.item, \"Memory\", $$v)},expression:\"row.item.Memory\"}})]:[(((row.item.Memory) ))?_c('span',[_vm._v(_vm._s(row.item.Memory)+\" GB\")]):_vm._e(),(((row.item.AdjustedMemory) ))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is projected value with caching assumptions applied`),expression:\"`This is projected value with caching assumptions applied`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"With Caching Assumptions\"}},[_c('br'),_vm._v(\"[\"+_vm._s(Math.round(row.item.AdjustedMemory))+\"=w/Cache]\")]):_vm._e()],_c('br'),_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal\",value:(`mMem${row.item.collectionID}${row.item.scenario}${row.item.manual}`),expression:\"`mMem${row.item.collectionID}${row.item.scenario}${row.item.manual}`\"}],attrs:{\"type\":\"button\",\"size\":\"sm\",\"variant\":\"link\",\"disabled\":row.item.collectionID==undefined}},[_vm._v(\"...\")]),((row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.gap_memory!=undefined)&&(row.item.targetconfig_rds.gap_memory!=''))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Consider if you can reduce the Memory from ${((row.item.AdjustedMemory) ? row.item.AdjustedMemory : row.item.Memory)} GB to ${((row.item.AdjustedMemory) ? row.item.AdjustedMemory : row.item.Memory)*1-row.item.targetconfig_rds.gap_memory} GB to use a smaller shape. [ ${row.item.targetconfig_rds.closeness_string} ]`),expression:\"`Consider if you can reduce the Memory from ${((row.item.AdjustedMemory) ? row.item.AdjustedMemory : row.item.Memory)} GB to ${((row.item.AdjustedMemory) ? row.item.AdjustedMemory : row.item.Memory)*1-row.item.targetconfig_rds.gap_memory} GB to use a smaller shape. [ ${row.item.targetconfig_rds.closeness_string} ]`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/CostSaving.png\"),\"height\":\"20px\",\"title\":\"Cost-Optimization Oppty?\"}}):_vm._e(),( (row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.memory_warnings_alert!=undefined)&&(row.item.targetconfig_rds.memory_warnings_alert!='') )?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${row.item.targetconfig_rds.memory_warnings_alert}`),expression:\"`${row.item.targetconfig_rds.memory_warnings_alert}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"Alerts\"}}):_vm._e(),((row.item.memory_target_comments!=undefined)&&(row.item.memory_target_comments!='') )?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${row.item.memory_target_comments}`),expression:\"`${row.item.memory_target_comments}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Adjustments\"}}):_vm._e(),_c('b-modal',{attrs:{\"id\":`mMem${row.item.collectionID}${row.item.scenario}${row.item.manual}`,\"title\":\"Memory Details\",\"ok-only\":\"\",\"size\":\"xl\"}},[_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"This shows the combined allocated size in GB of the SGA and PGA. For Oracle RAC clusters, the sizes are the aggregate across all instances. Use this chart to help select a target memory configuration for this database (be sure to allow for some additional memory for the operating system). This is a stacked chart.\")])]),((row.item.IS_PDB=='YES'))?_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"PDB SGA:PDB PGA\",\"chart_id\":\"MEMORYPDB\",\"stacked\":\"true\",\"reflines\":\"false\",\"instance_num\":\"all\",\"targets\":\"Target\",\"targetValues\":`${row.item.Memory}`}}):_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"SGA:PGA\",\"chart_id\":\"MEMORY\",\"stacked\":\"true\",\"reflines\":\"false\",\"instance_num\":\"all\",\"targets\":\"Target\",\"targetValues\":`${row.item.Memory}`}}),(((row.item.CONSOLIDATED_DATABASES*1>1)))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart is the breakout of the combined SGA+PGA by child database. This chart can show you how the workload is spread across the different child databases being consolidated together. This is a stacked chart.\")])]):_vm._e(),(( (row.item.CONSOLIDATED_DATABASES*1>1) ))?_c('timechartRACcontainer',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"node\",\"chart_id\":`${(((row.item.IS_PDB=='YES')&&(row.item.pdb_algo=='pdb2'))) ? 'MEMORYPDBCOMBINED' : 'MEMORYCOMBINED'}`,\"reflines\":\"false\",\"stacked\":\"false\",\"num_instances\":`${row.item.NUM_INSTANCES}`,\"consolidated_databases_num\":`${row.item.CONSOLIDATED_DATABASES}`,\"consolidated_databases_list\":`${row.item.database}`,\"instancenum_list\":`${row.item.INSTANCENUMS}`,\"adjustment\":1.0}}):_vm._e()],1)]}},{key:\"cell(DiskSpace)\",fn:function(row){return [(row.item.manual!=undefined && row.item.manual=='YES' )?[_c('b-form-input',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.manualEditReconfig},model:{value:(row.item.DiskSpace),callback:function ($$v) {_vm.$set(row.item, \"DiskSpace\", $$v)},expression:\"row.item.DiskSpace\"}})]:[_vm._v(\" \"+_vm._s(row.item.DiskSpace)+\" \")],_c('br'),((row.item.DiskSpace*1 > 64000)&&(row.item.rds_type!='rac'))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Consider if you can reduce the Disk Space from ${row.item.DiskSpace} GB to 64000 GB to use RDS-Oracle.`),expression:\"`Consider if you can reduce the Disk Space from ${row.item.DiskSpace} GB to 64000 GB to use RDS-Oracle.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/CostSaving.png\"),\"height\":\"20px\",\"title\":\"RDS-Oracle Oppty?\"}}):_vm._e(),((row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.diskspace_warnings!=undefined)&&(row.item.targetconfig_rds.diskspace_warnings!=''))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${row.item.targetconfig_rds.diskspace_warnings}`),expression:\"`${row.item.targetconfig_rds.diskspace_warnings}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"Alerts\"}}):_vm._e()]}},{key:\"cell(VolumeType)\",fn:function(row){return [(row.item.manual!=undefined && row.item.manual=='YES' )?[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.manualEditReconfig},model:{value:(row.item.VolumeType),callback:function ($$v) {_vm.$set(row.item, \"VolumeType\", $$v)},expression:\"row.item.VolumeType\"}},[(row.item.rds_type!='rac')?_c('option',{attrs:{\"value\":\"gp2\"}},[_vm._v(\"gp2\")]):_vm._e(),(row.item.rds_type!='rac')?_c('option',{attrs:{\"value\":\"gp3\"}},[_vm._v(\"gp3\")]):_vm._e(),(row.item.rds_type!='rac')?_c('option',{attrs:{\"value\":\"io1\"}},[_vm._v(\"io1\")]):_vm._e(),_c('option',{attrs:{\"value\":\"io2\"}},[_vm._v(\"io2\")])])]:[_vm._v(\" \"+_vm._s(row.item.VolumeType)+\" \")],_c('br'),((row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.ebsvol_warnings!=undefined)&&(row.item.targetconfig_rds.ebsvol_warnings!=''))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${row.item.targetconfig_rds.ebsvol_warnings}`),expression:\"`${row.item.targetconfig_rds.ebsvol_warnings}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"Adjustments\"}}):_vm._e()]}},{key:\"cell(UseMAZ)\",fn:function(row){return [(row.item.manual!=undefined && row.item.manual=='YES' )?[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.manualEditReconfig},model:{value:(row.item.UseMAZ),callback:function ($$v) {_vm.$set(row.item, \"UseMAZ\", $$v)},expression:\"row.item.UseMAZ\"}},[_c('option',{attrs:{\"value\":\"No\"}},[_vm._v(\"No\")]),_c('option',{attrs:{\"value\":\"Yes\"}},[_vm._v(\"Yes\")])])]:[_vm._v(\" \"+_vm._s(row.item.UseMAZ)+\" \")]]}},{key:\"cell(UseSE2)\",fn:function(row){return [(!( (row.item.AWR_MINER_VER != undefined && ! (row.item.AWR_MINER_VER.includes('aws') || row.item.AWR_MINER_VER.includes('statspack')) ) ) && (row.item.SE2_Comments!=undefined)&&(row.item.SE2_Comments!=''))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${row.item.SE2_Comments}`),expression:\"`${row.item.SE2_Comments}`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/info.png\"),\"height\":\"20px\",\"title\":\"EE to SE2 Feature Usages\"}}):_vm._e(),((row.item.AWR_MINER_VER != undefined && !(row.item.AWR_MINER_VER.includes('aws') || row.item.AWR_MINER_VER.includes('statspack'))) )?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`EE to SE2 Feature analysis not available if you used the generic non-DBCSI AWR Miner script to collect data`),expression:\"`EE to SE2 Feature analysis not available if you used the generic non-DBCSI AWR Miner script to collect data`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"EE to SE2 Feature Usages\"}}):_vm._e()]}},{key:\"cell(show_adhoc)\",fn:function(row){return [_c('a',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Click here to view/chart additional metrics`),expression:\"`Click here to view/chart additional metrics`\",modifiers:{\"hover\":true}}],attrs:{\"title\":`${row.item.database}`,\"href\":`/charts/${row.item.metricsURL}`,\"target\":\"_blank\"}},[_vm._v(\"AdhocCharts\")]),_c('br'),_c('br'),_c('a',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Click here to browse compute shapes`),expression:\"`Click here to browse compute shapes`\",modifiers:{\"hover\":true}}],attrs:{\"title\":`Browse Shapes`,\"href\":`/shapes/${_vm.regionCode}:RDS:${row.item.VCPU}:${row.item.Memory}:${row.item.Throughput}:${row.item.IOPS}`,\"target\":\"_blank\"}},[_vm._v(\"ShapeBrowser\")])]}},{key:\"cell(row)\",fn:function(row){return [_vm._v(\" \"+_vm._s(row.item.row)+\" \"),(row.item.scenarioName!=undefined)?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`Scenario: ${row.item.scenarioName}`, content:`${row.item.assumptionsString}`, html: true}),expression:\"{title:`Scenario: ${row.item.scenarioName}`, content:`${row.item.assumptionsString}`, html: true}\",modifiers:{\"hover\":true}}]},[_c('br'),_vm._v(\"(\"+_vm._s(row.item.scenarioName)+\")\")]):_vm._e(),(row.item.manual!=undefined && row.item.manual=='YES')?_c('span',[_c('br'),_vm._v(\"[Manual Edit]\")]):_vm._e()]}},{key:\"cell(database)\",fn:function(row){return [_c('a',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`${row.item.user_DB_NAME}`, content:`${row.item.description}

(host: ${row.item.hostname})`, html: true}),expression:\"{title:`${row.item.user_DB_NAME}`, content:`${row.item.description}

(host: ${row.item.hostname})`, html: true}\",modifiers:{\"hover\":true}}],attrs:{\"href\":`/metrics/${row.item.metricsURL}/ora_v1${ (row.item.VCPU) ? '/' + _vm.regionCode + ':RDS:' + row.item.VCPU + ':' + row.item.Memory + ':' + row.item.Throughput + ':' + row.item.IOPS + ':' + row.item.DiskSpace + ':' + row.item.VolumeType + ':' + row.item.UseMAZ : '' }`,\"target\":\"_blank\"}},[_vm._v(_vm._s(row.item.database))]),_c('br'),((row.item.PLATFORM_NAME=='AIX-Based_Systems_(64-bit)'))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${row.item.PLATFORM_NAME}]`),expression:\"`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${row.item.PLATFORM_NAME}]`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/AIX.png\"),\"height\":\"16px\",\"title\":\"not x86\"}}):_vm._e(),((row.item.PLATFORM_NAME=='Solaris[tm]_OE_(64-bit)'))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${row.item.PLATFORM_NAME}]`),expression:\"`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${row.item.PLATFORM_NAME}]`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/SPARC.png\"),\"height\":\"16px\",\"title\":\"not x86\"}}):_vm._e(),((row.item.PLATFORM_NAME=='HP-UX_IA_(64-bit)'))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${row.item.PLATFORM_NAME}]`),expression:\"`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${row.item.PLATFORM_NAME}]`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/HPUX.png\"),\"height\":\"16px\",\"title\":\"not x86\"}}):_vm._e(),((row.item.PLATFORM_NAME=='IBM_zSeries_Based_Linux'))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${row.item.PLATFORM_NAME}]`),expression:\"`Be sure to adjust the CPU Thread Mapping Ratio to adjust to x86 threads [${row.item.PLATFORM_NAME}]`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/zSeries.png\"),\"height\":\"16px\",\"title\":\"not x86\"}}):_vm._e(),((row.item.PLATFORM_NAME=='Microsoft_Windows_x86_64-bit'))?_c('img',{attrs:{\"src\":require(\"@/assets/WIN.png\"),\"height\":\"16px\"}}):_vm._e(),((row.item.PLATFORM_NAME=='Solaris_Operating_System_(x86-64)'))?_c('img',{attrs:{\"src\":require(\"@/assets/SolarisX86.png\"),\"height\":\"16px\"}}):_vm._e(),((row.item.IS_PDB=='YES') && (row.item.CDB_collectionId==undefined) && (row.item.cdb_target_comments==undefined))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is a PDB database. Collecting PDB-level IO metrics is problematic and we have seen data issues in Oracle's AWR tables.`),expression:\"`This is a PDB database. Collecting PDB-level IO metrics is problematic and we have seen data issues in Oracle's AWR tables.`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"PDB\",\"src\":require(\"@/assets/PDB.png\"),\"height\":\"20px\"}}):_vm._e(),((row.item.IS_PDB=='YES') && (row.item.CDB_collectionId==undefined) && (row.item.cdb_target_comments!=undefined))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is a PDB database. Collecting PDB-level IO metrics is problematic and we have seen data issues in Oracle's AWR tables. ${(row.item.cdb_target_comments==undefined) ? '' : row.item.cdb_target_comments}`),expression:\"`This is a PDB database. Collecting PDB-level IO metrics is problematic and we have seen data issues in Oracle's AWR tables. ${(row.item.cdb_target_comments==undefined) ? '' : row.item.cdb_target_comments}`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"PDB\",\"src\":require(\"@/assets/PDB_NOCDB.png\"),\"height\":\"20px\"}}):_vm._e(),((row.item.IS_PDB=='YES') && (row.item.CDB_collectionId!=undefined))?_c('a',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is a PDB database. Collecting PDB-level IO metrics is problematic and we have seen data issues in Oracle's AWR tables. ${(row.item.cdb_target_comments==undefined) ? '' : row.item.cdb_target_comments}`),expression:\"`This is a PDB database. Collecting PDB-level IO metrics is problematic and we have seen data issues in Oracle's AWR tables. ${(row.item.cdb_target_comments==undefined) ? 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row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"VCPU Available:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_rds.shape_max_vcpu)+\" \"),(row.item.rds_type=='rac' && row.item.targetconfig_rds.rac_nodes!='')?_c('span',[_c('br'),_vm._v(_vm._s(row.item.targetconfig_rds.rac_nodes)+\" Node Cluster of \"+_vm._s(row.item.rds_shape)+\": \"+_vm._s(row.item.targetconfig_rds.shape_max_vcpu * row.item.targetconfig_rds.rac_nodes)+\" total \")]):_vm._e(),(row.item.addlMaxVCPU !='')?_c('span',[_vm._v(\"(\"+_vm._s(row.item.addlMaxVCPU)+\")\")]):_vm._e()])],1):_vm._e(),(row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"VCPU 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Comments:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_rds.cpu_warnings_alert)+\" \"+_vm._s(row.item.targetconfig_rds.cpu_warnings_burst)+\" \"+_vm._s(row.item.targetconfig_rds.cpu_warnings_info))])],1):_vm._e(),(row.item.rds_shape!='N/A' && row.item.frozen_prefs && !(row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"BYOL License Estimation:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_rds.license_summaryText))])],1):_vm._e(),_c('div',[_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(_vm._s(((row.item.IS_PDB=='YES')) ? \"This shows the average # of CPU threads used by the PDB during each snapshot time period using the Oracle metric: (CPU Usage Per Sec from DBA_HIST_CON_SYSMETRIC_SUMM) along with the alternate metric: (CPU_CONSUMED_TIME from DBA_HIST_RSRC_PDB_METRIC). Values at the PDB-level are sanity-checked against the CDB (if found in DBCSI) or against typical thresholds, and outliers are not shown. The value can be greater than 1 when multiple CPU threads at active at the same time. For a RAC cluster, this chart aggregates the usage across all instances. Use this chart to help identify a target baseline of CPU threads needed for this database.\" : \"This shows the average and peak # of CPU threads used by the database during each snapshot time period using the Oracle metric: (CPU Usage Per Sec). The value can be greater than 1 when multiple CPU threads at active at the same time. For a RAC cluster, this chart aggregates the usage across all instances. Use this chart to help identify a target baseline of CPU threads needed for this database.\"))]),((row.item.AIX_CPU_ADJUSTMENT_USED*1>0))?_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The following chart has been adjusted for AIX CPU Usage timekeeping by using an AIX Power SMT CPU Time Adjustment multiplier of \"+_vm._s(row.item.AIX_CPU_ADJUSTMENT_USED)+\". \")]):_vm._e(),((!row.item.PLATFORM_NAME.includes('x86')))?_c('span',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The Average and Peak CPU Usage lines have been adjusted from the source system's threads (\"+_vm._s(row.item.PLATFORM_NAME)+\") to x86 VCPUs using the CPU Thread Ratio of \"+_vm._s(row.item.cpu_thread_ratio)+\".\")]):_vm._e()]),(((row.item.IS_PDB=='YES')))?_c('timechart2container',{attrs:{\"id\":\"divCPUAVGPEAK\",\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Average PDB CPU Usage:Peak PDB CPU Usage:Alternate Average PDB CPU Usage\",\"chart_id\":\"PDB_CPU\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_VCPU*2 : 0}`,\"filter_prompt\":\"(twice the p90 of CDB Peak CPU)\",\"targets\":`${ ((row.item.AdjustedVCPU) ) ? 'Target:TargetWithCaching:Available' : 'Target:Available' }`,\"targetValues\":`${ ((row.item.AdjustedVCPU) ) ? row.item.VCPU+':' + row.item.AdjustedVCPU : row.item.VCPU }${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? ':'+row.item.targetconfig_ec2fsxn.shape_max_vcpu : ':'+row.item.targetconfig_rds.shape_max_vcpu*row.item.targetconfig_rds.rac_nodes }`,\"adjustment\":`${(!row.item.PLATFORM_NAME.includes('x86')) ? (row.item.AIX_CPU_ADJUSTMENT_USED*1>0 ? (row.item.cpu_thread_ratio ?? _vm.form.cpu_thread_ratio)*1 / row.item.AIX_CPU_ADJUSTMENT_USED : (row.item.cpu_thread_ratio ?? _vm.form.cpu_thread_ratio)) : '1.0'}`}}):_c('timechart2container',{attrs:{\"id\":\"divCPUAVGPEAK\",\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Average DB CPU Usage:Peak DB CPU Usage\",\"chart_id\":\"CPUAVGPEAK\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_VCPU*2 : 0}`,\"filter_prompt\":\"(twice the p90 of CDB Peak CPU)\",\"targets\":`${ ((row.item.AdjustedVCPU) ) ? 'Target:TargetWithCaching:Available' : 'Target:Available' }`,\"targetValues\":`${ ((row.item.AdjustedVCPU) ) ? row.item.VCPU+':' + row.item.AdjustedVCPU : row.item.VCPU }${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? ':'+row.item.targetconfig_ec2fsxn.shape_max_vcpu : ':'+row.item.targetconfig_rds.shape_max_vcpu*row.item.targetconfig_rds.rac_nodes }`,\"adjustment\":`${(!row.item.PLATFORM_NAME.includes('x86')) ? (row.item.AIX_CPU_ADJUSTMENT_USED*1>0 ? row.item.cpu_thread_ratio*1 / row.item.AIX_CPU_ADJUSTMENT_USED : row.item.cpu_thread_ratio) : '1.0'}`}}),_c('img',{attrs:{\"id\":\"imgCPUAVGPEAK\",\"width\":\"100%\"}}),(row.item.ExadataVCPUAdjustmentText!=undefined)?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(_vm._s(row.item.ExadataVCPUAdjustmentText))])]):_vm._e(),(((row.item.AdjustedVCPU) ))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"[TargetWithCaching is the revised target value after applying your caching assumptions]\")])]):_vm._e()],1),_c('div',[(((row.item.NUM_INSTANCES*1>1)))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"And the below chart is the breakout of the Average DB CPU Usage by RAC Instance. This chart can show you how the workload is spread across the different RAC nodes.\")])]):_vm._e(),(((row.item.CONSOLIDATED_DATABASES*1>1)))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"And the below chart is the breakout of the Average DB CPU Usage by child database. This chart can show you how the workload is spread across the different child databases being consolidated together. This is a stacked chart.\")])]):_vm._e(),(( (row.item.NUM_INSTANCES*1>1) || (row.item.CONSOLIDATED_DATABASES*1>1) ))?_c('timechartRACcontainer',{attrs:{\"id\":\"divRACCPU\",\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"node\",\"chart_id\":`${(((row.item.IS_PDB=='YES')&&(row.item.pdb_algo=='pdb2'))) ? 'MAIN_METRICS~PDB_CPU_USAGE_PER_S' : 'MAIN_METRICS~cpu_per_s'}`,\"reflines\":\"false\",\"stacked\":\"false\",\"num_instances\":`${row.item.NUM_INSTANCES}`,\"consolidated_databases_num\":`${row.item.CONSOLIDATED_DATABASES}`,\"consolidated_databases_list\":`${row.item.database}`,\"instancenum_list\":`${row.item.INSTANCENUMS}`,\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_VCPU*2 : 0}`,\"adjustment\":`${(!row.item.PLATFORM_NAME.includes('x86'))? (row.item.AIX_CPU_ADJUSTMENT_USED*1>0 ? (row.item.cpu_thread_ratio ?? _vm.form.cpu_thread_ratio)*1 / row.item.AIX_CPU_ADJUSTMENT_USED : (row.item.cpu_thread_ratio ?? _vm.form.cpu_thread_ratio)) : '1.0'}`}}):_vm._e(),_c('img',{attrs:{\"id\":\"imgRACCPU\",\"width\":\"100%\"}})],1)],1),_c('b-card',[_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Disk Space Requested:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.DiskSpace)+\" GB\")])],1),(row.item.rds_shape!='N/A' && row.item.frozen_prefs && !(row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Volume Type:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.VolumeType)+\" \"),(row.item.VolumeType=='gp3')?_c('span',[_vm._v(\"at \"+_vm._s(row.item.targetconfig_rds.ebs_burst_IOPS)+\" IOPS and \"+_vm._s(row.item.targetconfig_rds.ebs_burst_Throughput)+\" 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row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"FSx-OnTap Summary:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_ec2fsxn.fsxn_data_summaryText1))])],1):_vm._e(),(row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"FSx-OnTap File System Quantity:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_ec2fsxn.fsxn_quantity)+\" \")])],1):_vm._e(),(row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Diskspace per File 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row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Additional IOPS per File System:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_ec2fsxn.fsxn_addl_iops)+\" \")])],1):_vm._e(),(row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"FSx-OnTap MultiAZ?:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_ec2fsxn.UseMAZ)+\" \")])],1):_vm._e(),(row.item.targetconfig_ec2fsxn && row.item.targetconfig_ec2fsxn.fsxn_warnings != '' && row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"FSx-OnTap Comments:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_ec2fsxn.fsxn_warnings)+\" \")])],1):_vm._e()],1),_c('b-card',[_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IO Throughput Requested:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.Throughput)+\" MB/s \"),(((row.item.AdjustedThroughput) ))?_c('span',[_vm._v(\" [\"+_vm._s(Math.round(row.item.AdjustedThroughput))+\" MB/s with caching assumptions]\")]):_vm._e()])],1),(row.item.rds_shape!='N/A' && row.item.frozen_prefs && !(row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IO Throughput 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(\"),_c('a',{attrs:{\"href\":\"https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.DBInstanceClass.html#Concepts.DBInstanceClass.Summary\",\"target\":\"_blank\"}},[_vm._v(_vm._s(row.item.rds_shape))]),_vm._v(\"):\")])]),_c('b-col',[_vm._v(_vm._s((row.item.targetconfig_rds.shape_baselinethroughput > 0) ? row.item.targetconfig_rds.shape_baselinethroughput + \" MB/s baseline, bursting to \" + row.item.targetconfig_rds.shape_throughput + \" MB/s\" : row.item.targetconfig_rds.shape_throughput + \" MB/s\")+\" \"),(row.item.rds_type=='rac' && row.item.targetconfig_rds.rac_nodes!='')?_c('span',[_c('br'),_vm._v(_vm._s(row.item.targetconfig_rds.rac_nodes)+\" Node Cluster of \"+_vm._s(row.item.rds_shape)+\": \"+_vm._s((row.item.targetconfig_rds.shape_baselinethroughput > 0) ? row.item.targetconfig_rds.shape_baselinethroughput*row.item.targetconfig_rds.rac_nodes + \" MB/s baseline, bursting to \" + row.item.targetconfig_rds.shape_throughput*row.item.targetconfig_rds.rac_nodes + \" MB/s total\" : row.item.targetconfig_rds.shape_throughput*row.item.targetconfig_rds.rac_nodes + \" MB/s total\"))]):_vm._e()])],1):_vm._e(),(row.item.rds_shape!='N/A' && row.item.frozen_prefs && !(row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IO Throughput (Combined):\")])]),_c('b-col',[_vm._v(_vm._s(( (row.item.targetconfig_rds.ebs_baseline_Throughput > 0) || (row.item.targetconfig_rds.shape_baselinethroughput > 0) ) ? Math.min( (row.item.targetconfig_rds.ebs_baseline_Throughput>0) ? row.item.targetconfig_rds.ebs_baseline_Throughput : row.item.targetconfig_rds.ebs_burst_Throughput, ( (row.item.targetconfig_rds.shape_baselinethroughput>0) ? row.item.targetconfig_rds.shape_baselinethroughput : row.item.targetconfig_rds.shape_throughput)*row.item.targetconfig_rds.rac_nodes ) + \" MB/s baseline, bursting to \" + Math.min(row.item.targetconfig_rds.ebs_burst_Throughput,row.item.targetconfig_rds.shape_throughput*row.item.targetconfig_rds.rac_nodes) + \" MB/s\" : Math.min(row.item.targetconfig_rds.ebs_burst_Throughput,row.item.targetconfig_rds.shape_throughput*row.item.targetconfig_rds.rac_nodes) + \" MB/s\")+\" \"),(row.item.addlThroughput !='')?_c('span',[_vm._v(\"(\"+_vm._s(row.item.addlThroughput)+\")\")]):_vm._e()])],1):_vm._e(),(( ( (row.item.targetconfig_rds.iomb_warnings_info!=undefined)&&(row.item.targetconfig_rds.iomb_warnings_info!='') ) || ( (row.item.targetconfig_rds.iomb_warnings_alert!=undefined)&&(row.item.targetconfig_rds.iomb_warnings_alert!='') ) || ( (row.item.targetconfig_rds.iomb_warnings_burst!=undefined)&&(row.item.targetconfig_rds.iomb_warnings_burst!='') ) ) && row.item.frozen_prefs && !(row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IO Throughput Comments:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_rds.iomb_warnings_alert)+\" \"+_vm._s(row.item.targetconfig_rds.iomb_warnings_burst)+\" \"+_vm._s(row.item.targetconfig_rds.iomb_warnings_info))])],1):_vm._e(),(row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IO Throughput (FSx-OnTap):\")])]),_c('b-col',[_vm._v(_vm._s(Math.round(row.item.targetconfig_ec2fsxn.fsxn_throughput * row.item.targetconfig_ec2fsxn.fsxn_quantity))+\" MB/s\")])],1):_vm._e(),(row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IO (network) Throughput (\"+_vm._s(row.item.targetconfig_ec2fsxn.shape)+\"):\")])]),_c('b-col',[_vm._v(_vm._s(Math.round(row.item.targetconfig_ec2fsxn.shape_network / 8))+\" MB/s \")])],1):_vm._e(),(row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IO Throughput (Combined):\")])]),_c('b-col',[_vm._v(_vm._s(Math.min(Math.round(row.item.targetconfig_ec2fsxn.fsxn_throughput * row.item.targetconfig_ec2fsxn.fsxn_quantity), Math.round(row.item.targetconfig_ec2fsxn.shape_network / 8)))+\" MB/s \")])],1):_vm._e(),_c('div',[_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(_vm._s(((row.item.IS_PDB=='YES')) ? \"This shows the average IO throughput rate (MB/s) during each snapshot time period using the Oracle metrics: (Physical Read Total Bytes Per Sec, Physical Write Total Bytes Per Sec from DBA_HIST_CON_SYSMETRIC_SUMM) along with the alternate metric: (IOMBPS from DBA_HIST_RSRC_PDB_METRIC). Values at the PDB-level are sanity-checked against the CDB (if found in DBCSI) or against typical thresholds, and outliers are not shown. For a RAC Cluster, the chart aggregates the metrics across all the instances. For an Exadata system, this does include I/O from the storage cells even I/O avoided via storage index use. Use this chart to help select a target baseline for Throughput for this database.\" : \"This shows the average and peak IO throughput rate (MB/s) during each snapshot time period using the Oracle metrics: (Physical Read Total Bytes Per Sec, Physical Write Total Bytes Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances. For an Exadata system, this does include I/O from the storage cells even I/O avoided via storage index use. Use this chart to help select a target baseline for Throughput for this database.\"))])]),(((row.item.IS_PDB=='YES')))?_c('timechart2container',{attrs:{\"id\":\"divIO_MBS_AVGPEAK\",\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Average PDB Throughput:Peak PDB Throughput:Alternate Average PDB Throughput\",\"chart_id\":\"PDB_IOTHRU\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOMB*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB Throughput)\",\"targets\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.OrigthroughputtargetLabels : row.item.OrigthroughputtargetLabels}`,\"targetValues\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.OrigthroughputtargetValues : row.item.OrigthroughputtargetValues}`,\"adjustment\":\"1.0\"}}):_c('timechart2container',{attrs:{\"id\":\"divIO_MBS_AVGPEAK\",\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Average Throughput:Peak Throughput\",\"chart_id\":\"IO_MBS_AVGPEAK\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOMB*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB Throughput)\",\"targets\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.OrigthroughputtargetLabels : row.item.OrigthroughputtargetLabels}`,\"targetValues\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.OrigthroughputtargetValues : row.item.OrigthroughputtargetValues}`,\"adjustment\":\"1.0\"}}),_c('img',{attrs:{\"id\":\"imgIO_MBS_AVGPEAK\",\"width\":\"100%\"}})],1),(((row.item.CONSOLIDATED_DATABASES*1>1)))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart is the breakout of the Average Throughput by child database. This chart can show you how the workload is spread across the different child databases being consolidated together. This is a stacked chart.\")])]):_vm._e(),(( (row.item.CONSOLIDATED_DATABASES*1>1) ))?_c('timechartRACcontainer',{attrs:{\"id\":\"divIO_MBS_AVGCOMBINED\",\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"node\",\"chart_id\":`${(((row.item.IS_PDB=='YES')&&(row.item.pdb_algo=='pdb2'))) ? 'MAIN_METRICS~PDB_CPU_USAGE_PER_S' : 'IO_MBS_AVGCOMBINED'}`,\"reflines\":\"false\",\"stacked\":\"false\",\"num_instances\":`${row.item.NUM_INSTANCES}`,\"consolidated_databases_num\":`${row.item.CONSOLIDATED_DATABASES}`,\"consolidated_databases_list\":`${row.item.database}`,\"instancenum_list\":`${row.item.INSTANCENUMS}`,\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOMB*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB Throughput)\",\"adjustment\":1.0}}):_vm._e(),_c('img',{attrs:{\"id\":\"imgIO_MBS_AVGCOMBINED\",\"width\":\"100%\"}}),_c('div',[(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.Throughput!=undefined) && (row.item.Throughput!=row.item.OrigThroughput) ))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart shows the estimated I/O Throughput after reflecting post-Exadata tuning activities \"+_vm._s(row.item.ExadataAdjustmentText)+\".\")])]):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.Throughput!=undefined) && (row.item.Throughput!=row.item.OrigThroughput) )&&((row.item.IS_PDB=='YES')))?_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"id\":\"divIO_MBS_AVGPEAKADJ\",\"user\":_vm.user,\"label\":\"Tuned Average PDB Throughput:Tuned Peak PDB Throughput:Alternate Tuned Average PDB Throughput\",\"chart_id\":\"PDB_IOTHRU\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOMB*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB Throughput)\",\"targets\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.ThroughputtargetLabels : row.item.ThroughputtargetLabels}`,\"targetValues\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.ThroughputtargetValues : row.item.ThroughputtargetValues}`,\"adjustment\":`${row.item.ExadataAdjustment}`}}):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.Throughput!=undefined) && (row.item.Throughput!=row.item.OrigThroughput) )&&!((row.item.IS_PDB=='YES')))?_c('timechart2container',{attrs:{\"id\":\"divIO_MBS_AVGPEAKADJ\",\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Tuned Average Throughput:Tuned Peak Throughput\",\"chart_id\":\"IO_MBS_AVGPEAK\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOMB*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB Throughput)\",\"targets\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.ThroughputtargetLabels : row.item.ThroughputtargetLabels}`,\"targetValues\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.ThroughputtargetValues : row.item.ThroughputtargetValues}`,\"adjustment\":`${row.item.ExadataAdjustment}`}}):_vm._e(),_c('img',{attrs:{\"id\":\"imgIO_MBS_AVGPEAKADJ\",\"width\":\"100%\"}}),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.SmartScanEligible!=undefined) && (row.item.Throughput!=row.item.OrigThroughput) ))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The tuning logic is to start with the target value for I/O throughput as seen on the source Exadata (\"+_vm._s(row.item.OrigThroughput)+\" MB/s). The \"+_vm._s((row.item.smartscan_algo=='ss2') ? 'MODERATE' : ((row.item.smartscan_algo=='ss3') ? 'HEAVY' : ((row.item.smartscan_algo=='ss4') ? 'VERY HEAVY' : 'LIGHT')))+\" tuning assumption assumes that I/O Throughput can be reduced by a factor of \"+_vm._s((row.item.smartscan_algo=='ss2') ? '3' : ((row.item.smartscan_algo=='ss3') ? '5' : ((row.item.smartscan_algo=='ss4') ? '10' : '2') ))+\". More discussion available internally \"),_c('a',{attrs:{\"href\":\"https://broadcast.amazon.com/videos/441676\",\"target\":\"_blank\"}},[_vm._v(\"here\")]),_vm._v(\".\")])]):_vm._e()],1)],1),_c('b-card',[_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IOPS Requested:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.IOPS)+\" \"),(((row.item.AdjustedIOPS) ))?_c('span',[_vm._v(\" [\"+_vm._s(Math.round(row.item.AdjustedIOPS))+\" with caching assumptions]\")]):_vm._e()])],1),(row.item.rds_shape!='N/A' && row.item.frozen_prefs && !(row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IOPS (\"),_c('a',{attrs:{\"href\":\"https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Storage.html\",\"target\":\"_blank\"}},[_vm._v(_vm._s(row.item.VolumeType)+\" Storage\")]),_vm._v(\"):\")])]),_c('b-col',[_vm._v(_vm._s((row.item.targetconfig_rds.ebs_baseline_IOPS > 0) ? row.item.targetconfig_rds.ebs_baseline_IOPS + \" baseline, bursting to \" + row.item.targetconfig_rds.ebs_burst_IOPS : row.item.targetconfig_rds.ebs_burst_IOPS))])],1):_vm._e(),(row.item.rds_shape!='N/A' && row.item.frozen_prefs && !(row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IOPS (\"),_c('a',{attrs:{\"href\":\"https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.DBInstanceClass.html#Concepts.DBInstanceClass.Summary\",\"target\":\"_blank\"}},[_vm._v(_vm._s(row.item.rds_shape))]),_vm._v(\"):\")])]),_c('b-col',[_vm._v(_vm._s((row.item.targetconfig_rds.shape_baselineIOPS > 0) ? row.item.targetconfig_rds.shape_baselineIOPS + \" baseline, bursting to \" + row.item.targetconfig_rds.shape_IOPS : row.item.targetconfig_rds.shape_IOPS)+\" \"),(row.item.rds_type=='rac' && row.item.targetconfig_rds.rac_nodes!='')?_c('span',[_c('br'),_vm._v(_vm._s(row.item.targetconfig_rds.rac_nodes)+\" Node Cluster of \"+_vm._s(row.item.rds_shape)+\": \"+_vm._s((row.item.targetconfig_rds.shape_baselineIOPS > 0) ? row.item.targetconfig_rds.shape_baselineIOPS*row.item.targetconfig_rds.rac_nodes + \" baseline, bursting to \" + row.item.targetconfig_rds.shape_IOPS*row.item.targetconfig_rds.rac_nodes + \" total\" : row.item.targetconfig_rds.shape_IOPS*row.item.targetconfig_rds.rac_nodes + \" total\"))]):_vm._e()])],1):_vm._e(),(row.item.rds_shape!='N/A' && row.item.frozen_prefs && !(row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IOPS (Combined):\")])]),_c('b-col',[_vm._v(_vm._s(( (row.item.targetconfig_rds.ebs_baseline_IOPS > 0) || (row.item.targetconfig_rds.shape_baselineIOPS > 0) ) ? Math.min( (row.item.targetconfig_rds.ebs_baseline_IOPS>0) ? row.item.targetconfig_rds.ebs_baseline_IOPS : row.item.targetconfig_rds.ebs_burst_IOPS, ( (row.item.targetconfig_rds.shape_baselineIOPS>0) ? row.item.targetconfig_rds.shape_baselineIOPS : row.item.targetconfig_rds.shape_IOPS)*row.item.targetconfig_rds.rac_nodes ) + \" baseline, bursting to \" + Math.min(row.item.targetconfig_rds.ebs_burst_IOPS,row.item.targetconfig_rds.shape_IOPS*row.item.targetconfig_rds.rac_nodes) : Math.min(row.item.targetconfig_rds.ebs_burst_IOPS,row.item.targetconfig_rds.shape_IOPS*row.item.targetconfig_rds.rac_nodes))+\" \"),(row.item.addlBurstIOPS !='')?_c('span',[_vm._v(\"(\"+_vm._s(row.item.addlBurstIOPS)+\")\")]):_vm._e()])],1):_vm._e(),(( ( (row.item.targetconfig_rds.iops_warnings_info!=undefined)&&(row.item.targetconfig_rds.iops_warnings_info!='') || (row.item.targetconfig_rds.iops_warnings_alert!=undefined)&&(row.item.targetconfig_rds.iops_warnings_alert!='') || (row.item.targetconfig_rds.iops_warnings_burst!=undefined)&&(row.item.targetconfig_rds.iops_warnings_burst!='') ) ) && row.item.frozen_prefs && !(row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IOPS Comments:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_rds.iops_warnings_alert)+\" \"+_vm._s(row.item.targetconfig_rds.iops_warnings_burst)+\" \"+_vm._s(row.item.targetconfig_rds.iops_warnings_info))])],1):_vm._e(),(row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"IOPS (FSx-OnTap):\")])]),_c('b-col',[_vm._v(_vm._s(Math.round( (row.item.targetconfig_ec2fsxn.fsxn_diskspace*3 + row.item.targetconfig_ec2fsxn.fsxn_addl_iops) * row.item.targetconfig_ec2fsxn.fsxn_quantity)))])],1):_vm._e(),_c('div',[((row.item.IS_PDB=='YES'))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart shows the average IOPS during each snapshot time period using the Oracle metric: (IOPS from DBA_HIST_RSRC_PDB_METRIC). This is a PDB-specific metric and may not include some IOPS that happen at the CDB-level. For a RAC Cluster, the chart aggregates the metrics across all the instances. Use this chart to help select a target baseline for IOPS for this database.\")])]):_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart shows the average and peak rate (Database IO Requests/second) during each snapshot time period using the Oracle metrics: (Physical Read Total IO Requests Per Sec, Physical Write Total IO Requests Per Sec). For a RAC Cluster, the chart aggregates the metrics across all the instances. Use this chart to help select a target baseline for IOPS for this database.\")])]),((row.item.IS_PDB=='YES'))?_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"id\":\"divIOPS_AVGPEAK\",\"user\":_vm.user,\"label\":\"Average PDB IOPS\",\"chart_id\":\"PDB_IOPS\",\"reflines\":\"false\",\"instance_num\":\"all\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOPS*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB IOPS)\",\"targets\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.OrigIOPStargetLabels : row.item.OrigIOPStargetLabels}`,\"targetValues\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.OrigIOPStargetValues : row.item.OrigIOPStargetValues}`}}):_c('timechart2container',{attrs:{\"id\":\"divIOPS_AVGPEAK\",\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Average IOPS:Peak IOPS\",\"chart_id\":\"IOPS_AVGPEAK\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"targets\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.OrigIOPStargetLabels : row.item.OrigIOPStargetLabels}`,\"targetValues\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.OrigIOPStargetValues : row.item.OrigIOPStargetValues}`}}),_c('img',{attrs:{\"id\":\"imgIOPS_AVGPEAK\",\"width\":\"100%\"}})],1),(((row.item.CONSOLIDATED_DATABASES*1>1)))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart is the breakout of the Average IOPS by child database. This chart can show you how the workload is spread across the different child databases being consolidated together. This is a stacked chart.\")])]):_vm._e(),(( (row.item.CONSOLIDATED_DATABASES*1>1) ))?_c('timechartRACcontainer',{attrs:{\"id\":\"divIOPS_AVGCOMBINED\",\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"node\",\"chart_id\":`${(((row.item.IS_PDB=='YES')&&(row.item.pdb_algo=='pdb2'))) ? 'PDB_IOPS' : 'IOPS_AVGCOMBINED'}`,\"reflines\":\"false\",\"stacked\":\"false\",\"num_instances\":`${row.item.NUM_INSTANCES}`,\"consolidated_databases_num\":`${row.item.CONSOLIDATED_DATABASES}`,\"consolidated_databases_list\":`${row.item.database}`,\"instancenum_list\":`${row.item.INSTANCENUMS}`,\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOPS*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB IOPS)\",\"adjustment\":1.0}}):_vm._e(),_c('img',{attrs:{\"id\":\"imgIOPS_AVGCOMBINED\",\"width\":\"100%\"}}),_c('div',[(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.IOPS!=undefined) && (row.item.IOPS!=row.item.OrigIOPS) ))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart shows the estimated IOPS after reflecting post-Exadata tuning activities \"+_vm._s(row.item.ExadataAdjustmentText)+\".\")])]):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1') && (row.item.IOPS!=row.item.OrigIOPS) &&(row.item.IOPS!=undefined))&&((row.item.IS_PDB=='YES')))?_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"id\":\"divIOPS_AVGPEAKADJ\",\"user\":_vm.user,\"label\":\"Tuned Average PDB IOPS\",\"chart_id\":\"PDB_IOPS\",\"reflines\":\"false\",\"instance_num\":\"all\",\"filter\":`${(row.item.IS_PDB=='YES') ? row.item.CDB_IOPS*2 : 0}`,\"filter_prompt\":\"(twice the p99 of Average CDB IOPS)\",\"targets\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.IOPStargetLabels : row.item.IOPStargetLabels}`,\"targetValues\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.IOPStargetValues : row.item.IOPStargetValues}`,\"adjustment\":`${row.item.ExadataAdjustment}`}}):_vm._e(),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.IOPS!=undefined) && (row.item.IOPS!=row.item.OrigIOPS) )&&!((row.item.IS_PDB=='YES')))?_c('timechart2container',{attrs:{\"id\":\"divIOPS_AVGPEAKADJ\",\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"Tuned Average IOPS:Tuned Peak IOPS\",\"chart_id\":\"IOPS_AVGPEAK\",\"reflines\":\"false\",\"instance_num\":\"all\",\"stacked\":\"false\",\"targets\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.IOPStargetLabels : row.item.IOPStargetLabels}`,\"targetValues\":`${ (row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y')) ? row.item.targetconfig_ec2fsxn.IOPStargetValues : row.item.IOPStargetValues}`,\"adjustment\":`${row.item.ExadataAdjustment}`}}):_vm._e(),_c('img',{attrs:{\"id\":\"imgIOPS_AVGPEAKADJ\",\"width\":\"100%\"}}),(((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.SmartScanEligible!=undefined) && (row.item.IOPS!=row.item.OrigIOPS) ))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The tuning logic is to start with the target value for IOPS as seen on the source Exadata (\"+_vm._s(row.item.OrigIOPS)+\"). The \"+_vm._s((row.item.smartscan_algo=='ss2') ? 'MODERATE' : ((row.item.smartscan_algo=='ss3') ? 'HEAVY' : ((row.item.smartscan_algo=='ss4') ? 'VERY HEAVY' : 'LIGHT')))+\" tuning assumption assumes that IOPS can be reduced by a factor of \"+_vm._s((row.item.smartscan_algo=='ss2') ? '3' : ((row.item.smartscan_algo=='ss3') ? '5' : ((row.item.smartscan_algo=='ss4') ? '10' : '2') ))+\". More discussion available internally \"),_c('a',{attrs:{\"href\":\"https://broadcast.amazon.com/videos/441676\",\"target\":\"_blank\"}},[_vm._v(\"here\")]),_vm._v(\".\")])]):_vm._e()],1)],1),_c('b-card',[_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Memory on Current Hardware:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.current_hw_memory)+\" GB \"),(row.item.current_hw_consolidation=='Y')?_c('span',[_vm._v(\"(may be on consolidated HW?)\")]):_vm._e()])],1),_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Memory Requested:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.Memory)+\" GB \"),(((row.item.AdjustedMemory) ))?_c('span',[_vm._v(\" [\"+_vm._s(Math.round(row.item.AdjustedMemory))+\" GB with caching assumptions]\")]):_vm._e()])],1),(row.item.rds_shape!='N/A' && row.item.frozen_prefs && !(row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Memory Provisioned:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_rds.shape_memory)+\" GB \"),(row.item.rds_type=='rac' && row.item.targetconfig_rds.rac_nodes!='')?_c('span',[_c('br'),_vm._v(_vm._s(row.item.targetconfig_rds.rac_nodes)+\" Node Cluster of \"+_vm._s(row.item.rds_shape)+\": \"+_vm._s(row.item.targetconfig_rds.shape_memory * row.item.targetconfig_rds.rac_nodes)+\" GB total \")]):_vm._e(),(row.item.addlMemory !='')?_c('span',[_vm._v(\"(\"+_vm._s(row.item.addlMemory)+\")\")]):_vm._e()])],1):_vm._e(),(row.item.frozen_prefs && (row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Memory Provisioned:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_ec2fsxn.shape_memory)+\" GB \")])],1):_vm._e(),(( (row.item.memory_target_comments!=undefined)&&(row.item.memory_target_comments!='') ) || ( (row.item.targetconfig_rds!=undefined)&&(row.item.targetconfig_rds.memory_warnings_alert!=undefined)&&(row.item.targetconfig_rds.memory_warnings_alert!='') ) && row.item.frozen_prefs && !(row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))?_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Memory Comments:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_rds.memory_warnings_alert)+_vm._s(row.item.memory_target_comments))])],1):_vm._e(),_c('div',[_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"This shows the combined allocated size in GB of the SGA and PGA. For Oracle RAC clusters, the sizes are the aggregate across all instances. Use this chart to help select a target memory configuration for this database (be sure to allow for some additional memory for the operating system). This is a stacked chart.\")])]),((row.item.IS_PDB=='YES'))?_c('timechart2container',{attrs:{\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"id\":\"divMEMORY\",\"user\":_vm.user,\"label\":\"PDB SGA:PDB PGA\",\"chart_id\":\"MEMORYPDB\",\"stacked\":\"true\",\"reflines\":\"false\",\"instance_num\":\"all\",\"targets\":`${ ((row.item.AdjustedMemory) ) ? 'Target:TargetWithCaching:Available' : 'Target:Available' }`,\"targetValues\":`${ ((row.item.AdjustedMemory) ) ? row.item.Memory+':' + row.item.AdjustedMemory : row.item.Memory }${ (row.item.frozen_prefs && ((row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))) ? ':'+row.item.targetconfig_ec2fsxn.shape_memory : ':'+row.item.targetconfig_rds.shape_memory*row.item.targetconfig_rds.rac_nodes }`}}):_c('timechart2container',{attrs:{\"id\":\"divMEMORY\",\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"SGA:PGA\",\"chart_id\":\"MEMORY\",\"stacked\":\"true\",\"reflines\":\"false\",\"instance_num\":\"all\",\"targets\":`${ ((row.item.AdjustedMemory) ) ? 'Target:TargetWithCaching:Available' : 'Target:Available' }`,\"targetValues\":`${ ((row.item.AdjustedMemory) ) ? row.item.Memory+':' + row.item.AdjustedMemory : row.item.Memory }${ (row.item.frozen_prefs && ((row.item.frozen_prefs.ec2fsxn_baremetal_showdetail == 'ec2only' && row.item.frozen_prefs.ec2fsxn_algo=='Y'))) ? ':'+row.item.targetconfig_ec2fsxn.shape_memory : ':'+row.item.targetconfig_rds.shape_memory*row.item.targetconfig_rds.rac_nodes }`}}),_c('img',{attrs:{\"id\":\"imgMEMORY\",\"width\":\"100%\"}}),(((row.item.AdjustedMemory) ))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"[TargetWithCaching is the revised target value after applying your caching assumptions]\")])]):_vm._e(),(((row.item.CONSOLIDATED_DATABASES*1>1)))?_c('div',{staticStyle:{\"margin\":\"25px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"The below chart is the breakout of the combined SGA+PGA by child database. This chart can show you how the workload is spread across the different child databases being consolidated together. This is a stacked chart.\")])]):_vm._e(),(( (row.item.CONSOLIDATED_DATABASES*1>1) ))?_c('timechartRACcontainer',{attrs:{\"id\":\"divMEMORYCOMBINED\",\"collection_id\":`${row.item.collectionID}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user,\"label\":\"node\",\"chart_id\":`${(((row.item.IS_PDB=='YES')&&(row.item.pdb_algo=='pdb2'))) ? 'MEMORYPDBCOMBINED' : 'MEMORYCOMBINED'}`,\"reflines\":\"false\",\"stacked\":\"false\",\"num_instances\":`${row.item.NUM_INSTANCES}`,\"consolidated_databases_num\":`${row.item.CONSOLIDATED_DATABASES}`,\"consolidated_databases_list\":`${row.item.database}`,\"instancenum_list\":`${row.item.INSTANCENUMS}`,\"adjustment\":1.0}}):_vm._e(),_c('img',{attrs:{\"id\":\"imgMEMORYCOMBINED\",\"width\":\"100%\"}})],1)],1),(row.item.targetconfig_aurora)?_c('b-card',{attrs:{\"title\":\"Aurora PostgreSQL Alternative Configuration (Rough-sizing estimate)\"}},[_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Aurora PostgreSQL Summary:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_aurora.summaryText)+\" \"),(((row.item.AdjustedMemory)))?_c('span',[_c('br'),_vm._v(\"Sizing based on Caching assumptions.\")]):_vm._e()])],1),_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Aurora Shape:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.aurora_shape)),_c('br'),_vm._v(\"VCPU: \"+_vm._s(row.item.targetconfig_aurora.shape_max_vcpu)+\" , Memory: \"+_vm._s(row.item.targetconfig_aurora.shape_memory)+\" GB \"),(row.item.targetconfig_aurora.InstanceStorage && row.item.targetconfig_aurora.InstanceStorage!='EBS only')?_c('span',[_c('br'),_vm._v(\"Local Storage: \"+_vm._s(row.item.targetconfig_aurora.InstanceStorage))]):_vm._e(),_c('br'),_vm._v(\"Max Network Throughput: \"+_vm._s((row.item.targetconfig_aurora.shape_network/8).toFixed(0))+\" MB/s \"),(row.item.targetconfig_aurora.shape_baseline_network !=undefined)?_c('span',[_vm._v(\", Network Throughput Baseline: \"+_vm._s((row.item.targetconfig_aurora.shape_baseline_network/8).toFixed(0))+\" MB/s\")]):_vm._e(),_c('br'),_vm._v(\"[ \"+_vm._s(row.item.targetconfig_aurora.closeness_string)+\" ] \")])],1),_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Aurora Monthly Cost:\")])]),_c('b-col',[_vm._v(\"$\"+_vm._s(row.item.targetconfig_aurora.monthly_estimate))])],1),_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Compute Breakout:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_aurora.shape_summaryText))])],1),_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Storage Breakout:\")])]),_c('b-col',[_vm._v(_vm._s(row.item.targetconfig_aurora.ebs_data_summaryText2)),_c('br'),(row.item.targetconfig_aurora.iops_summaryText2)?_c('span',[_vm._v(_vm._s(row.item.targetconfig_aurora.iops_summaryText2)),_c('br')]):_vm._e(),(row.item.targetconfig_aurora.storage_assumption)?_c('span',[_vm._v(_vm._s(row.item.targetconfig_aurora.storage_assumption))]):_vm._e()])],1),_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"BYOL License Estimation:\")])]),_c('b-col',[_vm._v(\"None needed with Aurora PostgreSQL\")])],1)],1):_vm._e(),((row.item.Exadata=='Yes'))?_c('b-card',[_c('b-row',{staticClass:\"mb-2\"},[_c('b-col',{staticClass:\"text-sm-right\",attrs:{\"sm\":\"3\"}},[_c('b',[_vm._v(\"Exadata Observations:\")])]),_c('b-col')],1),((row.item.Exadata=='Yes'))?_c('exadataobservations',{attrs:{\"param_collection_id\":`${row.item.metricsURL}`,\"param_item\":`${JSON.stringify(row.item)}`,\"collection_type\":\"ora_v1\",\"user\":_vm.user}}):_vm._e()],1):_vm._e(),(_vm.singleDB)?_c('b-card',[_c('b',[_vm._v(\"Database Details:\")]),_c('b-table',{staticClass:\"table-sm text-xsmall\",attrs:{\"striped\":\"\",\"hover\":\"\",\"bordered\":\"\",\"fixed\":\"\",\"items\":_vm.genItems},scopedSlots:_vm._u([{key:\"cell(value)\",fn:function(row){return [_vm._v(\" \"+_vm._s(row.item.value)+\" \")]}}],null,true)})],1):_vm._e(),_c('b-card',_vm._l((_vm.disclaimerLists),function(list,index){return _c('span',{key:list,staticStyle:{\"font-size\":\"12px\"}},[_c('span',[_vm._v(_vm._s(list))]),_c('br')])}),0)],1),_c('b-button',{on:{\"click\":function($event){_vm.print(''+row.item.collectionID+row.item.scenario+row.item.manual,((row.item.Exadata=='Yes')&&(row.item.smartscan_algo!='ss1')&&(row.item.Throughput!=undefined)),(row.item.IS_PDB=='YES'),row.item.pdb_algo,(row.item.NUM_INSTANCES*1>1),(row.item.CONSOLIDATED_DATABASES*1>1))}}},[_vm._v(\"Print\")]),_vm._v(\" Printing can be used to Save as PDF. Tips: Chrome works best. If using Firefox, some people report that the Charts may get cut off. \"),_c('b-alert',{attrs:{\"show\":_vm.showAlertPrint,\"variant\":_vm.alertStylePrint}},[_vm._v(_vm._s(_vm.alertTextPrint))])],1)]]}}])})],1),_c('br'),_c('div',[_c('b-alert',{attrs:{\"show\":_vm.shareMode,\"variant\":\"info\"}},[_vm._v(\"These databases have been shared with you via URL. Please save the URL if you want to continue to view them later.\")]),(!this.shareMode && !( this.batchItems.length==0 || this.batchItems[0].row=='Loading...' || this.batchItems[0].row=='Error Loading??' || this.disableScenarioButton) && ('0123456789C'.indexOf(this.batch_id.substring(0,1) ) >= 0 ) )?_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal\",value:(`mShare`),expression:\"`mShare`\"}],attrs:{\"block\":\"\",\"variant\":\"outline-primary\"}},[_vm._v(\"Share these databases via URL\")]):_vm._e(),_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal\",value:(`mCSV`),expression:\"`mCSV`\"}],attrs:{\"disabled\":(this.scenarioCount<1),\"block\":\"\",\"variant\":\"outline-primary\"}},[_vm._v(\"Download CSV\"+_vm._s(this.scenarioCount<1 ? ' [Create a Scenario first]' : ''))]),_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal\",value:(`mBatch`),expression:\"`mBatch`\"}],attrs:{\"disabled\":! ( !this.shareMode && !( this.batchItems.length==0 || this.batchItems[0].row=='Loading...' || this.batchItems[0].row=='Error Loading??' || this.disableScenarioButton) && (this.countSelected > 0) ),\"block\":\"\",\"variant\":\"outline-primary\"}},[_vm._v(\"Create a new batch for \"+_vm._s(this.countSelected)+\" Selected Databases \"+_vm._s(this.countSelected<1 ? '[Select at least 1 database]' : ''))]),(_vm.currentEmployee)?_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal\",value:(`mConsolidate`),expression:\"`mConsolidate`\"}],attrs:{\"disabled\":! ( this.currentEmployee && !this.shareMode && !( this.batchItems.length==0 || this.batchItems[0].row=='Loading...' || this.batchItems[0].row=='Error Loading??' || this.disableScenarioButton) && (this.countSelected > 1) ),\"block\":\"\",\"variant\":\"outline-primary\"}},[_vm._v(\"Consolidate \"+_vm._s(this.countSelected)+\" Selected Databases (ALPHA PREVIEW) \"+_vm._s(this.countSelected<2 ? '[Select at least 2 databases]' : ''))]):_vm._e(),_c('b-modal',{attrs:{\"id\":`mShare`,\"title\":\"Share Databases via URL\",\"ok-only\":\"\",\"ok-title\":\"Finished\",\"size\":\"xl\"}},[_c('div',{staticStyle:{\"margin\":\"15px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"This feature lets you share your DBCSI databases via generated obscure URLs, similar to how you share in the AWS Pricing Calculator. The other users who wish to use your generated sharing URL will need to be DBCSI users as well. The generated URL does not copy over your algorithm choices or any manually entered target values. To continue, please read and acknowledge the following:\")]),_c('br'),_c('br'),_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_c('b',[_vm._v(\"Sharing Acknowledgement:\")]),_vm._v(\" Any DBCSI user who has been given the generated sharing URL will be able to see the DBCSI information for these databases.\")]),_c('b-form',[(_vm.generatedSharingURL !='')?_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup0\",\"label\":\"Generated Sharing URL:\",\"label-for\":\"genURL\",\"description\":\"Please copy the above URL and distribute it for sharing these databases with other DBCSI users.\"}},[_c('b-form-input',{attrs:{\"id\":\"genURL\",\"type\":\"text\",\"required\":\"\",\"disabled\":\"\",\"placeholder\":\"generated URL for sharing these databases\"},model:{value:(_vm.generatedSharingURL),callback:function ($$v) {_vm.generatedSharingURL=$$v},expression:\"generatedSharingURL\"}})],1):_vm._e(),((_vm.generatedSharingURL==''))?_c('b-button',{attrs:{\"variant\":\"success\"},on:{\"click\":function($event){return _vm.shareDatabases(0)}}},[_vm._v(\"Acknowledge and Continue\")]):_vm._e()],1),_c('br'),_c('br')],1)]),_c('b-modal',{attrs:{\"id\":`mCSV`,\"title\":\"Download CSV\",\"ok-only\":\"\",\"ok-title\":\"Finished\",\"size\":\"xl\"}},[_c('div',{staticStyle:{\"margin\":\"15px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"This feature lets you download DBCSI data into a CSV. There are multiple formats to choose from. The DETAIL format is the primary choice and is also the right choice for uploading into the Directional Business Case (DBC) tool. The ALTERNATE-1 format is a reduced set of columns in the format used by the AWS-internal ODBCC tool.\")]),_c('br'),_c('b-form',[_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup0\",\"label\":\"CSV Format:\",\"label-for\":\"genURL\",\"description\":\"Please choose the CSV format to use for the download.\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\",\"options\":_vm.csv_lov},model:{value:(_vm.csv_format),callback:function ($$v) {_vm.csv_format=$$v},expression:\"csv_format\"}})],1),(this.pdb_and_cdb_pairs_in_batch && this.form.pdb_and_cdb_exclude_algo == 'excludePDB')?_c('span',[_vm._v(\"Note: This batch contains PDBs which overlap with CDBs in this batch. You may want to exclude them from your CSV to avoid confusion or over-counting.\"),_c('br'),_c('br')]):_vm._e(),(this.pdb_and_cdb_pairs_in_batch && this.form.pdb_and_cdb_exclude_algo == 'excludeCDB')?_c('span',[_vm._v(\"Note: This batch contains CDBs which overlap with PDBs in this batch. You may want to exclude them from your CSV to avoid confusion or over-counting.\"),_c('br'),_c('br')]):_vm._e(),_c('br'),_c('div',{staticClass:\"mt-4 mb-2\"},[_c('b',[_vm._v(\"Databases\")]),_c('download-csv',{staticClass:\"btn btn-outline-primary btn-block\",attrs:{\"data\":_vm.flatItems,\"fields\":_vm.csvFields,\"labels\":_vm.csvLabels,\"name\":`dbcsi_sizing_${this.csv_format}_${this.batch_id}.csv`}},[_vm._v(\" Download CSV in \"+_vm._s(this.csv_format)+\" format \")]),(this.pdb_and_cdb_pairs_in_batch && this.form.pdb_and_cdb_exclude_algo == 'excludePDB')?_c('download-csv',{staticClass:\"btn btn-outline-primary btn-block\",attrs:{\"data\":_vm.filteredFlatItems,\"fields\":_vm.csvFields,\"labels\":_vm.csvLabels,\"name\":`dbcsi_sizing_${this.csv_format}_${this.batch_id}.csv`}},[_vm._v(\" Download CSV in \"+_vm._s(this.csv_format)+\" format excluding overlapping PDBs \")]):_vm._e(),(this.pdb_and_cdb_pairs_in_batch && this.form.pdb_and_cdb_exclude_algo == 'excludeCDB')?_c('download-csv',{staticClass:\"btn btn-outline-primary btn-block\",attrs:{\"data\":_vm.filteredFlatItems,\"fields\":_vm.csvFields,\"labels\":_vm.csvLabels,\"name\":`dbcsi_sizing_${this.csv_format}_${this.batch_id}.csv`}},[_vm._v(\" Download CSV in \"+_vm._s(this.csv_format)+\" format excluding overlapping CDBs \")]):_vm._e(),(this.countSelected > 0)?_c('download-csv',{staticClass:\"btn btn-outline-primary btn-block\",attrs:{\"data\":_vm.selectedFlatItems,\"fields\":_vm.csvFields,\"labels\":_vm.csvLabels,\"name\":`dbcsi_sizing_${this.csv_format}_${this.batch_id}_selected.csv`}},[_vm._v(\" Download CSV in \"+_vm._s(this.csv_format)+\" for \"+_vm._s(this.countSelected)+\" Selected Databases \")]):_vm._e()],1),(this.showODBAWS && (this.infrastructure.length > 0) && (this.form.odbAWS_algo=='Y'))?_c('div',{staticClass:\"mt-4 mb-2\"},[_c('b',[_vm._v(\"ODB@AWS Infrastructure\")]),_c('download-csv',{staticClass:\"btn btn-outline-primary btn-block\",attrs:{\"data\":_vm.flatInfrastructure,\"fields\":_vm.infrastructureFields,\"labels\":_vm.infrastructureLabels,\"name\":`dbcsi_ODBatAWS_${this.batch_id}.csv`}},[_vm._v(\" Download CSV for ODB@AWS Infrastructure Details \")])],1):_vm._e()],1),_c('br'),_c('br')],1)]),_c('b-modal',{attrs:{\"id\":`mBatch`,\"title\":\"Create a new batch for selected databases\",\"ok-only\":\"\",\"ok-title\":\"Close Window\",\"size\":\"xl\"},on:{\"show\":_vm.resetBatchModal}},[_c('div',{staticStyle:{\"margin\":\"15px\"}},[_c('p',{staticStyle:{\"font-size\":\"14px\"}},[_vm._v(\"This feature lets you create a new Batch containing the \"+_vm._s(this.countSelected)+\" databases you selected.\")]),_c('br'),_c('br'),_c('b-form',[_c('div',[_c('b',[_vm._v(\"Provide some details about this batch.\")]),_c('b-card',{staticClass:\"text-left\",attrs:{\"bg-variant\":\"light\"}},[_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup2\",\"label\":\"Customer Name:\",\"label-for\":\"customer\"}},[_c('b-form-input',{attrs:{\"id\":\"customer\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter customer name.\"},model:{value:(_vm.batchAdd.customer),callback:function ($$v) {_vm.$set(_vm.batchAdd, \"customer\", $$v)},expression:\"batchAdd.customer\"}})],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup3\",\"label\":\"Batch Name:\",\"label-for\":\"batchname\"}},[_c('b-form-input',{attrs:{\"id\":\"batchname\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter batch name.\"},model:{value:(_vm.batchAdd.batchname),callback:function ($$v) {_vm.$set(_vm.batchAdd, \"batchname\", $$v)},expression:\"batchAdd.batchname\"}})],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup4\",\"label\":\"Description:\",\"label-for\":\"descr\"}},[_c('b-form-textarea',{attrs:{\"id\":\"descr\",\"required\":\"\",\"placeholder\":\"Enter a description for this batch of databases.\",\"rows\":3,\"max-rows\":6},model:{value:(_vm.batchAdd.descr),callback:function ($$v) {_vm.$set(_vm.batchAdd, \"descr\", $$v)},expression:\"batchAdd.descr\"}})],1)],1)],1),((this.createBatchID=='') && (this.createBatchMessage==''))?_c('b-button',{attrs:{\"disabled\":(this.batchAdd.customer=='') || (this.batchAdd.batchname==''),\"variant\":\"success\"},on:{\"click\":_vm.createBatch}},[_vm._v(\"Create Batch\")]):_vm._e()],1),_c('br'),_c('br'),_vm._v(\" \"+_vm._s(this.createBatchMessage)+\" \"),(this.createBatchID!='')?_c('span',[_vm._v(\"Batch created successfully.   \"),_c('a',{attrs:{\"href\":`/batch/${this.createBatchID}`,\"target\":\"_blank\"}},[_vm._v(\"Open your new batch in a new tab.\")])]):_vm._e()],1)]),_c('b-modal',{attrs:{\"id\":`mConsolidate`,\"title\":\"Consolidate selected databases\",\"ok-only\":\"\",\"ok-title\":\"Close Window\",\"size\":\"xl\"}},[_c('div',{staticStyle:{\"margin\":\"15px\"}},[_c('consolidatemodal',{attrs:{\"param_items\":`${JSON.stringify(this.selectedItems)}`,\"user\":_vm.user}}),_c('br'),_c('br')],1)]),_c('br'),_c('br'),_vm._l((_vm.disclaimerLists),function(list,index){return _c('span',{key:list,staticStyle:{\"font-size\":\"12px\"}},[_c('span',[_vm._v(_vm._s(list))]),_c('br')])})],2)],1)],1)])],1)],1)],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('b-alert',{attrs:{\"show\":\"\"}},[_vm._v(\"Consolidating Databases is alpha preview functionality. You should expect that there may be gaps in the logic and flaws in the implementation. \"),_c('br'),_vm._v(\" Please report issues and suggestions to dbayard@amazon.com\")]),_c('br'),_c('span',[_vm._v(\" Use this dialog to define a new simulated consolidated database that combines the raw metrics of your chosen individual databases: \")]),_c('br'),_c('br'),_c('div',{attrs:{\"id\":\"demo\"}},[_c('b-table',{staticClass:\"table table-sm\",attrs:{\"striped\":\"\",\"hover\":\"\",\"bordered\":\"\",\"fixed\":\"\",\"items\":_vm.childDatabases}})],1),_c('span',[_vm._v(\" Before merging, we need to check that these individual databases are compatible with each other to be merged. The compatibility results are: \")]),_vm._v(\" \"),_c('br'),_c('br'),(_vm.consolidateCheckSuccess == false)?_c('b-alert',{attrs:{\"variant\":\"danger\",\"show\":\"\"}},[_vm._v(_vm._s(this.consolidateCheckMessage))]):_vm._e(),(_vm.consolidateCheckSuccess)?_c('b-alert',{attrs:{\"variant\":\"success\",\"show\":\"\"}},[_vm._v(_vm._s(this.consolidateCheckMessage))]):_vm._e(),_c('br'),_c('br'),(_vm.consolidateCheckSuccess)?_c('span',[_c('span',[_vm._v(\" Now, please provide some attributes to describe the new simuated consolidated database that we will create: \")]),_vm._v(\" \"),_c('br'),_c('br'),_c('b-form',[_c('div',[_c('b-card',{staticClass:\"text-left\",attrs:{\"bg-variant\":\"light\"}},[_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup2\",\"label\":\"Customer Name:\",\"label-for\":\"customer\"}},[_c('b-form-input',{attrs:{\"id\":\"customer\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter customer name.\"},model:{value:(_vm.userInput.customer),callback:function ($$v) {_vm.$set(_vm.userInput, \"customer\", $$v)},expression:\"userInput.customer\"}})],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup3\",\"label\":\"Database Name:\",\"label-for\":\"batchname\"}},[_c('b-form-input',{attrs:{\"id\":\"batchname\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter name for the new consolidated database.\"},model:{value:(_vm.userInput.batchname),callback:function ($$v) {_vm.$set(_vm.userInput, \"batchname\", $$v)},expression:\"userInput.batchname\"}})],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup4\",\"label\":\"Description:\",\"label-for\":\"descr\"}},[_c('b-form-textarea',{attrs:{\"id\":\"descr\",\"required\":\"\",\"placeholder\":\"Enter a description for this new consolidated database.\",\"rows\":3,\"max-rows\":6},model:{value:(_vm.userInput.descr),callback:function ($$v) {_vm.$set(_vm.userInput, \"descr\", $$v)},expression:\"userInput.descr\"}})],1)],1)],1),_c('br'),_c('br'),((this.consolidate_batch_id=='') && (this.consolidateMessage==''))?_c('b-button',{attrs:{\"disabled\":(this.userInput.customer=='') || (this.userInput.batchname==''),\"variant\":\"success\"},on:{\"click\":_vm.consolidateDatabases}},[_vm._v(\"Create a new Consolidated Database\")]):_vm._e()],1),_c('br'),_c('br'),_vm._v(\" \"+_vm._s(this.consolidateMessage)+\" \"),(this.consolidate_batch_id!='')?_c('span',[_c('br'),_c('br'),_vm._v(\" New Consolidated Databases created successfully.   \"),_c('br'),_c('br'),_c('a',{attrs:{\"href\":`/batch/${this.consolidate_batch_id}`,\"target\":\"_blank\"}},[_vm._v(\"Open your new Consolidated Database in a new tab.\")])]):_vm._e()],1):_vm._e(),(false)?_c('span',[_vm._v(\" app 2100 \"),_c('br'),_vm._v(\" consolidated 126 - \"),_c('br'),_c('br'),_vm._v(\" In adhoc charts, Update RAC/Instance drop-down controls & charts \"),_c('br'),_vm._v(\" Add check to fail non-x86 databases for now. \"),_c('br'),_vm._v(\" Test with combinations of child databases that are RAC, Exadada, PDBs, STATSPACK, and non-x86. Look at accuracy of rolled up data. Also see if charts display properly and PDF is generated OK. \"),_c('br'),_vm._v(\" Test with large number of databases (10, 20, 30) \"),_c('br'),_vm._v(\" Add a check to batch if a scenario prices out more or uses more licensing than the sum of its pieces \"),_c('br'),_vm._v(\" Add Consolidated ICON to Metrics. Maybe add an alert \\\"Work in progress.. use AutoRight Sizer to view details.\\\" Update RAC/Instance drop-down controls & charts \"),_c('br'),_vm._v(\" Add Consolidated ICON to Main \"),_c('br'),_vm._v(\" Think about MultiAZ logic. What if one child is RAC and one isnt? Should that be MAZ? \"),_c('br'),_vm._v(\" Check that sharing still works with Consolidated DBs/batches \"),_c('br'),_vm._v(\" NICE TO HAVE Add DBCSI URLs for child databases to PDF. Add link to RDS-Oracle Mulitenant docs or blog? \"),_c('br'),_vm._v(\" May need to switch to most common duration versus average duration. \"),_c('br'),_vm._v(\" Validate that it works correctly when a child database is on Exadata. Things like chart dialogs may be goofy or confusing. \"),_c('br'),_vm._v(\" Add support for child databases that are RAC. What about adding up memory when child database is RAC??? What about MultiAZ, What about RAC icon, What about timechartRACcontainer usage when both RAC and Consolidated, if CONSOLIDATED_DATABASES>0, Watch out for false RAC thinking (because NUM_INSTANCES>0). \"),_c('br'),_vm._v(\" Add support for non-x86 child databases \"),_c('br'),_vm._v(\" Add support for PDB child databases. If PDBs, need to carry over IS_PDB and Outliers. \"),_c('br'),_vm._v(\" add customer to apps.js 3396 /dbcsi/batch/:batch_id. Then use it to default customer name in form. \")]):_vm._e()],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./ConsolidateModal.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./ConsolidateModal.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./ConsolidateModal.vue?vue&type=template&id=e294cdac\"\nimport script from \"./ConsolidateModal.vue?vue&type=script&lang=js\"\nexport * from \"./ConsolidateModal.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","\nfunction aggregate_database_targets(databases) {\n \n var results = []; \n \n // get a list of distinct scenarioNames\n var scenarioNames = new Set();\n for (var dbrow=0; dbrow< databases.length ; dbrow++) {\n // only worry about scenarios where odbAWS_algo==Y\n if (databases[dbrow].frozen_prefs.odbAWS_algo==\"Y\") {\n scenarioNames.add(databases[dbrow].scenarioName);\n } \n } \n \n \n var scenarios = [...scenarioNames];\n for (var scen=0; scen< scenarios.length; scen++) {\n \n var VCPU_total = 0;\n var Memory_total = 0;\n var IOPS_total = 0;\n var Throughput_total = 0;\n var storage_total = 0;\n var frozen_prefs = {};\n var assumptions = [];\n \n // Todo: this could be a place where we do a check to avoid counting both CDB and child PDB together\n // downside of doing it here is that we would not be doing similar logic on the RDS side. So, totals for RDS would include both PDB and CDB.\n // Might be better to find a way to avoid double-counting CDB and child PDB upstream so that both RDS and Exadata calcs are comparable\n \n // need to group by scenarioName as we do this\n for (var groupi=0; groupi< databases.length ; groupi++) {\n if (databases[groupi].scenarioName == scenarios[scen]) { \n \n // add any unique databases[groupi].assumptions[] to assumptions\n \n //do we include it in the totals?\n if ( ( databases[groupi].PDBandCDBmatch==undefined ) ||\n ( (databases[groupi].frozen_prefs.pdb_and_cdb_exclude_algo == \"none\") || \n ( (databases[groupi].frozen_prefs.pdb_and_cdb_exclude_algo == \"excludePDB\") && (databases[groupi].PDBandCDBmatch!=\"PDBwithParent\") ) || \n ( (databases[groupi].frozen_prefs.pdb_and_cdb_exclude_algo == \"excludeCDB\") && (databases[groupi].PDBandCDBmatch!=\"CDBwithChild\") )\n )\n ) {\n\n // console.log(\"aggregate_database_targets\", groupi, databases[groupi], databases[groupi].scenarioName);\n // console.log(\"including database into infrastructure\", groupi, databases[groupi].PDBandCDBmatch, databases[groupi].frozen_prefs.pdb_and_cdb_exclude_algo);\n\n var thisVCPU = 0;\n if ((databases[groupi].OrigVCPU != undefined) && (databases[groupi].VCPU != databases[groupi].OrigVCPU)) {\n thisVCPU = databases[groupi].OrigVCPU*1;\n } else { \n thisVCPU = databases[groupi].VCPU*1;\n } \n \n if (databases[groupi].frozen_prefs.odbAWS_service==\"adb\") {\n // minimum ECPU is 2. The minimum ECPU value for an Autonomous Database is 2.\n // https://docs.oracle.com/en/cloud/paas/autonomous-database/dedicated/crsrb/index.html#GUID-CB63636B-0D29-4C75-B193-37F125DF4B26\n\n // ECPU needs to be an integer. For databases that need 1 or more OCPUs or 2 or more ECPUs, you must specify the number of assigned CPUs as an integer. For example, you cannot assign 3.5 ECPUs to a database. The next available number of ECPUs above 3 is 4.\n // https://docs.oracle.com/en/cloud/paas/autonomous-database/dedicated/adbba/\n\n // and we could add NodeReservation here too.\n // temporarily convert to VCPU to OCPU to ECPU\n thisVCPU = (thisVCPU /2) * 4;\n if (thisVCPU<2) { thisVCPU=2; }\n thisVCPU = Math.ceil(thisVCPU);\n //convert back to VCPU\n thisVCPU = (thisVCPU/4) * 2;\n }\n \n VCPU_total += thisVCPU;\n \n if ((databases[groupi].OrigMemory != undefined) && (databases[groupi].Memory != databases[groupi].OrigMemory)) {\n Memory_total += databases[groupi].OrigMemory*1;\n } else { \n Memory_total += databases[groupi].Memory*1;\n } \n \n \n if (databases[groupi].Throughput!=databases[groupi].OrigThroughput) {\n // console.log(\"throughput\", databases[groupi].Throughput, databases[groupi].OrigThroughput);\n Throughput_total += databases[groupi].OrigThroughput*1;\n } else {\n Throughput_total += databases[groupi].Throughput*1;\n }\n if (databases[groupi].IOPS!=databases[groupi].OrigIOPS) {\n // console.log(\"IOPS_total\", databases[groupi].IOPS, databases[groupi].OrigIOPS);\n IOPS_total += databases[groupi].OrigIOPS*1;\n } else {\n IOPS_total += databases[groupi].IOPS*1;\n }\n \n if (databases[groupi].frozen_prefs.odbAWS_service==\"adb\") {\n if (databases[groupi].DiskSpace*1 < 32) {\n storage_total += 32 // minimum database size. https://docs.oracle.com/en/cloud/paas/autonomous-database/dedicated/adbba/\n } else {\n storage_total += databases[groupi].DiskSpace*1;\n }\n } else {\n storage_total += databases[groupi].DiskSpace*1;\n } \n frozen_prefs = databases[groupi].frozen_prefs;\n } else {\n // console.log(\"excluded database from infrastructure\", groupi, databases[groupi].PDBandCDBmatch);\n } \n } \n }\n \n assumptions = [\n ...new Map(\n databases\n .filter(database => database && (database.scenarioName == scenarios[scen]) )\n .flatMap(database => database.assumptionsArray)\n .filter(assumption => \n assumption && \n assumption.category != null && \n assumption.text != null &&\n ( (assumption.category != \"ExadataTuning\") && (assumption.category != \"ExadataIOThreshold\") && (assumption.category != \"ExadataMemory\") && (assumption.category != \"LicenseVsCost\"))\n )\n .map(assumption => [\n `${assumption.category}-${assumption.text}`,\n assumption\n ])\n ).values()\n ];\n \n \n // possibly filter out Exadata Assumptions (these are only relevant to RDS, not ODB)\n \n //add additional assumptions specific to ODB\n // Currently all the ODB assumptions get spelled out in the other columns of the CSV\n // if (frozen_prefs.odbAWS_HA==\"Y\") assumptions.push({category: \"LocalNVME\", text: \"Only consider shapes with local storage (e.g. r5d,m5d,r6id,...)\"});\n\n\n // console.log(\"assumptions for ODB\", assumptions, scenarios[scen]); \n var assumptionsString = \"\"; \n\n for (var i of assumptions) {\n assumptionsString += \"\"+i.category+\": \"+ i.text+\".
\";\n }\n\n \n \n results.push(\n {\n scenarioName: scenarios[scen],\n frozen_prefs: frozen_prefs,\n VCPU_total: VCPU_total,\n Memory_total: Memory_total,\n IOPS_total: IOPS_total,\n Throughput_total: Throughput_total,\n storage_total: storage_total,\n assumptionsArray: assumptions,\n assumptionsString: assumptionsString\n }\n ) ;\n }\n \n return results;\n}\n\n\n\n\n\n\n\nfunction pick_exadata_shape(exaTargets) {\n \n // Jan8 - right now there is 1 loop, but at the end we duplicate rows to account for MAZ (and soon DR)\n // we really should have 2 loops. First loop populate infrastructure[] array.\n // second new loop goes through infrastructure[] array and assigns shape\n // first loop is essentially define the infra instances needed (1 or more depending on MAZ and DR)\n // second loop is real pick_exadata_shape\n \n var infrastructure = []; \n var infraRow = 0;\n\n for (var scen=0; scen< exaTargets.length ; scen++) {\n \n infrastructure.push ( \n {\n row: \"(\"+exaTargets[scen].scenarioName+\")\",\n model: exaTargets[scen].frozen_prefs.odbAWS_model,\n service: \"exacs-dedicated\",\n role: \"Primary\",\n dbservers: 2,\n storageservers: 3,\n // UsageUnits_target: 5.3,\n Usage_units: \"OCPU\",\n UsageUnits_available: 512,\n Usage_comments: \"\",\n assumptionsString: exaTargets[scen].assumptionsString,\n assumptionsArray: exaTargets[scen].assumptionsArray,\n storage_comments: \"\",\n storage_style: \"no_FRA\",\n // storage_target: 56123,\n storage_data_dg: 45321,\n storage_reco_dg: 0,\n storage_sparse_dg: 0,\n // IOPS_target: 123223,\n // Throughput_target: 12532,\n // Memory_target: 1234,\n databases: [0,1,2,3],\n scenarioName: exaTargets[scen].scenarioName,\n manual: \"NO\"\n }\n );\n \n infrastructure[infraRow].UsageUnits_target = Math.round( exaTargets[scen].VCPU_total /2 * 100) / 100;\n infrastructure[infraRow].Usage_comments += \"Converted \" + Math.round( exaTargets[scen].VCPU_total * 100) / 100 + \" VCPUs into \" +\n infrastructure[infraRow].UsageUnits_target +\" OCPUs. \";\n if (infrastructure[infraRow].model==\"X11M\") {\n infrastructure[infraRow].Usage_units=\"ECPU\";\n infrastructure[infraRow].Usage_comments += \"Converted \" + infrastructure[infraRow].UsageUnits_target + \" X11M OCPUs into \" +\n infrastructure[infraRow].UsageUnits_target*4 +\" ECPUs. \";\n infrastructure[infraRow].UsageUnits_target = infrastructure[infraRow].UsageUnits_target *4;\n } \n infrastructure[infraRow].VCPU_total = exaTargets[scen].VCPU_total;\n infrastructure[infraRow].Memory_target = exaTargets[scen].Memory_total;\n infrastructure[infraRow].IOPS_target = exaTargets[scen].IOPS_total;\n infrastructure[infraRow].Throughput_target = exaTargets[scen].Throughput_total;\n infrastructure[infraRow].storage_target = exaTargets[scen].storage_total;\n infrastructure[infraRow].frozen_prefs = exaTargets[scen].frozen_prefs;\n\n if (exaTargets[scen].frozen_prefs.odbAWS_service == \"adb\") {\n infrastructure[infraRow].service = \"adb-dedicated\";\n \n // account for NodeFailoverReservation\n var nodeReservation = \"50\";\n if (nodeReservation==\"50\") {\n var reservedUnits = Math.ceil( infrastructure[infraRow].UsageUnits_target * 1.5);\n }\n }\n \n \n\n var origRow = infraRow; \n // if this is full-size HA (or any HA with ADB), then duplicate the row for MAZ Standby\n if ( (infrastructure[infraRow].frozen_prefs.odbAWS_HA == \"Y\") || ( (infrastructure[infraRow].frozen_prefs.odbAWS_HA == \"Y20\") && (infrastructure[infraRow].frozen_prefs.odbAWS_service == \"adb\") ) ) {\n infrastructure[infraRow].multiAZ = \"Yes\"; \n \n infrastructure.push( JSON.parse(JSON.stringify(infrastructure[infraRow])) );\n // infrastructure[infraRow].row = infrastructure[infraRow].row + \"-1\";\n infraRow++;\n infrastructure[infraRow].role = \"Standby(MAZ)\";\n // infrastructure[infraRow].row = infrastructure[infraRow].row + \"-2\";\n \n \n } else if (infrastructure[infraRow].frozen_prefs.odbAWS_HA == \"Y20\") {\n // this is pilot light\n infrastructure[infraRow].multiAZ = \"Yes\"; \n \n infrastructure.push( JSON.parse(JSON.stringify(infrastructure[infraRow])) );\n // infrastructure[infraRow].row = infrastructure[infraRow].row + \"-1\";\n infraRow++;\n infrastructure[infraRow].role = \"Standby-MAZ [PilotLight]\";\n // infrastructure[infraRow].row = infrastructure[infraRow].row + \"-2\";\n infrastructure[infraRow].UsageUnits_target = Math.round(infrastructure[infraRow].UsageUnits_target * 0.2 * 10) / 10;\n infrastructure[infraRow].Usage_comments += \"Sizing Usage at 20% of Primary. \";\n \n }\n\n // if this is DR, then duplicate the row for DR. Y,Y20, YMA, YMA20\n if ( (infrastructure[infraRow].frozen_prefs.odbAWS_DR == \"Y\") || ( (infrastructure[infraRow].frozen_prefs.odbAWS_DR == \"Y20\") && (infrastructure[infraRow].frozen_prefs.odbAWS_service == \"adb\") ) ) {\n infrastructure[infraRow].DR = \"Yes\"; \n \n infrastructure.push( JSON.parse(JSON.stringify(infrastructure[origRow])) );\n // infrastructure[infraRow].row = infrastructure[infraRow].row + \"-1\";\n infraRow++;\n infrastructure[infraRow].role = \"DR (2ndRegion)\";\n // infrastructure[infraRow].row = infrastructure[infraRow].row + \"-2\";\n \n } else if (infrastructure[infraRow].frozen_prefs.odbAWS_DR == \"Y20\") {\n infrastructure[infraRow].DR = \"Yes\"; \n \n infrastructure.push( JSON.parse(JSON.stringify(infrastructure[origRow])) );\n // infrastructure[infraRow].row = infrastructure[infraRow].row + \"-1\";\n infraRow++;\n infrastructure[infraRow].role = \"DR (2ndRegion) [PilotLight]\";\n // infrastructure[infraRow].row = infrastructure[infraRow].row + \"-2\";\n infrastructure[infraRow].UsageUnits_target = Math.round(infrastructure[infraRow].UsageUnits_target * 0.2 * 10) / 10;\n infrastructure[infraRow].Usage_comments += \"Sizing Usage at 20% of Primary. \";\n \n } else if ( (infrastructure[infraRow].frozen_prefs.odbAWS_DR == \"YMA\") || ( (infrastructure[infraRow].frozen_prefs.odbAWS_DR == \"YMA20\") && (infrastructure[infraRow].frozen_prefs.odbAWS_service == \"adb\") ) ) {\n \n infrastructure[infraRow].DR = \"Yes\"; \n \n infrastructure.push( JSON.parse(JSON.stringify(infrastructure[origRow])) );\n // infrastructure[infraRow].row = infrastructure[infraRow].row + \"-1\";\n infraRow++;\n infrastructure[infraRow].role = \"DR (2ndRegion)\";\n // infrastructure[infraRow].row = infrastructure[infraRow].row + \"-2\";\n \n \n //now add DR-MAZ\n infrastructure.push( JSON.parse(JSON.stringify(infrastructure[infraRow])) );\n infraRow++;\n if ( (infrastructure[infraRow].frozen_prefs.odbAWS_HA == \"Y20\") && (infrastructure[infraRow].frozen_prefs.odbAWS_service != \"adb\") ) {\n infrastructure[infraRow].role = \"DR-MAZ (2ndRegion) [PilotLight]\";\n infrastructure[infraRow].UsageUnits_target = Math.round(infrastructure[origRow].UsageUnits_target * 0.2 * 10) / 10;\n infrastructure[infraRow].Usage_comments += \"Sizing Usage at 20% of Primary. \";\n } else {\n infrastructure[infraRow].role = \"DR-MAZ (2ndRegion)\";\n\n } \n\n } else if (infrastructure[infraRow].frozen_prefs.odbAWS_DR == \"YMA20\") {\n \n // console.log(\"origRow\", origRow, infrastructure[origRow].UsageUnits_target);\n infrastructure[infraRow].DR = \"Yes\"; \n \n infrastructure.push( JSON.parse(JSON.stringify(infrastructure[origRow])) );\n // infrastructure[infraRow].row = infrastructure[infraRow].row + \"-1\";\n infraRow++;\n infrastructure[infraRow].role = \"DR (2ndRegion) [PilotLight]\";\n // infrastructure[infraRow].row = infrastructure[infraRow].row + \"-2\";\n // console.log(\"origRow2\", origRow, infrastructure[origRow].UsageUnits_target);\n infrastructure[infraRow].UsageUnits_target = Math.round(infrastructure[origRow].UsageUnits_target * 0.2 * 10) / 10;\n infrastructure[infraRow].Usage_comments += \"Sizing Usage at 20% of Primary. \";\n \n //now add DR-MAZ\n infrastructure.push( JSON.parse(JSON.stringify(infrastructure[infraRow])) );\n infraRow++;\n infrastructure[infraRow].role = \"DR-MAZ (2ndRegion) [PilotLight]\";\n\n \n }\n \n \n infraRow++;\n } \n \n for (var infraRow=0; infraRow< infrastructure.length ; infraRow++) {\n \n // details on X11 and X9 are here: https://docs.oracle.com/en/engineered-systems/exadata-cloud-service/ecscm/exa-service-desc.html#GUID-43F48F95-3107-4983-AB29-D95A54A01152\n // changes (create new variable/constants)\n // OCPUs to ECPUs\n // 126 to 760 UsageUnits_per_db_server\n // 63.3 to 80 tbs_per_storage_server\n // 45000 to 100000 flash_throughput_per_storage_server\n var UsageUnits_per_db_server = 126;\n var tbs_per_storage_server = 63.3;\n var flash_throughput_per_storage_server = 45000;\n var memory_per_db_server = 1390;\n \n if (infrastructure[infraRow].model==\"X11M\") {\n UsageUnits_per_db_server = 760;\n tbs_per_storage_server = 80;\n flash_throughput_per_storage_server = 100000;\n }\n \n // how many database servers\n var dbservers = 2;\n var reservedUnits = 0;\n if (infrastructure[infraRow].frozen_prefs.odbAWS_service == \"adb\") {\n \n // minimum 40 ECPUs\n if (infrastructure[infraRow].UsageUnits_target<40) {\n infrastructure[infraRow].UsageUnits_target=40;\n infrastructure[infraRow].Usage_comments += \"Autonomous Database has a minimum of 40 ECPUs. Increasing from \" + infrastructure[infraRow].UsageUnits_target +\". \";\n }\n \n ////ADB has 40GB of overhead per node. https://docs.oracle.com/en/cloud/paas/autonomous-database/dedicated/adbay/#GUID-B1EC563A-CF6B-473C-A0EA-4B895DA0A319 \n memory_per_db_server = memory_per_db_server-40;\n \n // not implemented.. Free Developer Database\n // https://docs.oracle.com/en/cloud/paas/autonomous-database/dedicated/aadvv/#GUID-6B6A8567-3C77-4C96-BFEA-0945ADE1826E \n // Autonomous Database for Developers comes fixed at 4 ECPUs and 32GB storage, and do not support manual or auto-scaling.\n\n // account for NodeFailoverReservation\n\n if (infrastructure[infraRow].frozen_prefs.odbAWS_adb_nodereserve==\"50\") {\n reservedUnits = Math.ceil( infrastructure[infraRow].UsageUnits_target * 0.5);\n infrastructure[infraRow].Usage_comments += \"Reserving an extra 50% \" + reservedUnits + \" \" + infrastructure[infraRow].Usage_units +\" for Node Failover Reservations. \";\n }\n if (infrastructure[infraRow].frozen_prefs.odbAWS_adb_nodereserve==\"25\") {\n reservedUnits = Math.ceil( infrastructure[infraRow].UsageUnits_target * 0.25);\n infrastructure[infraRow].Usage_comments += \"Reserving an extra 25% \" + reservedUnits + \" \" + infrastructure[infraRow].Usage_units +\" for Node Failover Reservations. \";\n }\n }\n\n \n if ( (infrastructure[infraRow].UsageUnits_target + reservedUnits) > dbservers*UsageUnits_per_db_server) {\n //x11 = 190 cores not 126 \n dbservers = Math.max(2, Math.ceil((infrastructure[infraRow].UsageUnits_target + reservedUnits)/UsageUnits_per_db_server) ); //x11 = 190\n // console.log(\"adding more db servers due to Usage\", infrastructure[infraRow].UsageUnits_target, dbservers);\n infrastructure[infraRow].Usage_comments += \"Added more db servers due to \" + infrastructure[infraRow].Usage_units +\" needed. \";\n }\n \n // work on memory\n if (infrastructure[infraRow].Memory_target < 30) {\n console.log(\"ODB@AWS: Minimum memory provisioned is 30 GB per dbserver\"); \n }\n \n if ( (infrastructure[infraRow].frozen_prefs.odbAWS_service == \"adb\") && (infrastructure[infraRow].Memory_target < 120) ) {\n // console.log(\"ODB@AWS: ADB Minimum memory provisioned is 120 GB per dbserver\"); // 120GB with Autonomous\n infrastructure[infraRow].Memory_target = 120;\n }\n \n \n if (infrastructure[infraRow].Memory_target > dbservers*memory_per_db_server) {\n dbservers = Math.max(dbservers, Math.ceil(infrastructure[infraRow].Memory_target/memory_per_db_server) );\n // console.log(\"adding more db servers due to Memory\", infrastructure[infraRow].Memory_target, dbservers);\n infrastructure[infraRow].Usage_comments += \"Added more db servers due to memory needed. \";\n }\n infrastructure[infraRow].dbservers = dbservers;\n \n // \"Use multiples of two OCPUs per database server or multiples of 8 ECPUS per X11M database server. \"\n // https://docs.oracle.com/en/engineered-systems/exadata-cloud-service/ecscm/ecs-manage-infrastructure.html#GUID-31F6EEEF-43FD-46D6-9DCF-04784CC77AE8 \n var scaleQty = 2;\n if (infrastructure[infraRow].model==\"X11M\") {\n scaleQty=8;\n }\n infrastructure[infraRow].UsageUnits_provisioned = Math.ceil(infrastructure[infraRow].UsageUnits_target / scaleQty / infrastructure[infraRow].dbservers) * scaleQty * infrastructure[infraRow].dbservers ;\n infrastructure[infraRow].UsageUnits_available = infrastructure[infraRow].dbservers * UsageUnits_per_db_server; \n \n if (infrastructure[infraRow].UsageUnits_target != infrastructure[infraRow].UsageUnits_provisioned) {\n infrastructure[infraRow].Usage_comments += infrastructure[infraRow].Usage_units +\" provisioned rounded up from \"+ infrastructure[infraRow].UsageUnits_target + \" to \" + infrastructure[infraRow].UsageUnits_provisioned;\n }\n \n infrastructure[infraRow].Memory_available = infrastructure[infraRow].dbservers * memory_per_db_server;\n \n if (infrastructure[infraRow].frozen_prefs.odbAWS_service == \"adb\") {\n // console.log(\"calculated Database Memory per unit\", Math.round(infrastructure[infraRow].Memory_target / infrastructure[infraRow].UsageUnits_provisioned));\n } \n \n \n // for ADB, should I adjust the storage needed? Not yet implemented.\n // Exadata Storage = [User Data Storage + Internal Database Service Storage: ( 200GB + 50GB x ACD Count x Node Count )] x 1.25\n // https://docs.oracle.com/en/cloud/paas/autonomous-database/dedicated/adbay/#GUID-B1EC563A-CF6B-473C-A0EA-4B895DA0A319 \n\n \n // how many storage servers\n var storageservers = 3;\n // single storage server has 63.3 TB of usable. x11 has 80TB\n \n // storageStyles - https://docs.oracle.com/en/engineered-systems/exadata-cloud-service/ecscm/ecs-storage-config.html#GUID-925DAEBF-4693-4AC6-80E1-15D7121F80A9\n // if storagestyle==default, 80%\n // if backup=y,sparse=n, 40%\n // if backup=n,sparse=y, 60%\n // if backup=y,sparse=y, 35%\n \n var data_disk_group_percent=0.8;\n var reco_disk_group_percent=0.2;\n \n if (infrastructure[infraRow].frozen_prefs.odbAWS_StorageStyle == \"BACKUP\") {\n data_disk_group_percent=0.4;\n reco_disk_group_percent=0.6;\n }\n if (infrastructure[infraRow].frozen_prefs.odbAWS_StorageStyle == \"SPARSE\") {\n data_disk_group_percent=0.6;\n reco_disk_group_percent=0.2;\n }\n if (infrastructure[infraRow].frozen_prefs.odbAWS_StorageStyle == \"BOTH\") {\n data_disk_group_percent=0.35;\n reco_disk_group_percent=0.5;\n }\n \n if ( (infrastructure[infraRow].frozen_prefs.odbAWS_service==\"adb\") && (infrastructure[infraRow].frozen_prefs.odbAWS_StorageStyle != \"BACKUP\") ) {\n if ( (infrastructure[infraRow].frozen_prefs.odbAWS_HA!=\"single\") || (infrastructure[infraRow].frozen_prefs.odbAWS_DR!=\"N\") ) {\n infrastructure[infraRow].storage_comments += \"Switching storage allocation to store backups as that is required by Autonomous Data Guard (used by MAA and DR topologies). \";\n data_disk_group_percent=0.4;\n reco_disk_group_percent=0.6;\n infrastructure[infraRow].frozen_prefs.odbAWS_StorageStyle = \"BACKUP\";\n }\n }\n infrastructure[infraRow].storage_style = infrastructure[infraRow].frozen_prefs.odbAWS_StorageStyle;\n \n var totalspaceneeded = infrastructure[infraRow].storage_target / data_disk_group_percent;\n if (totalspaceneeded > storageservers*tbs_per_storage_server * 1000) { // x11=80\n storageservers = Math.max(3, Math.ceil(totalspaceneeded/tbs_per_storage_server / 1000) ); // x11=80\n // console.log(\"adding more storage servers due to space needed\", infrastructure[infraRow].storage_target, data_disk_group_percent, totalspaceneeded, storageservers);\n infrastructure[infraRow].storage_comments += \"Added more storage servers due to space needed. \";\n }\n \n // now check Throughput\n // May be 45 GB/s for x9. See https://www.oracle.com/a/ocom/docs/database/auto-db-dedicated-exadata-infra-ds.pdf \n // may be 100 GB/s for x11 (flash bandwidth per storage server)\n \n if ( (flash_throughput_per_storage_server * storageservers) < infrastructure[infraRow].Throughput_target*1 ) { // x11 is 100000\n storageservers = Math.max(3, Math.ceil(infrastructure[infraRow].Throughput_target/flash_throughput_per_storage_server) ); // x11 is 100000\n // console.log(\"adding more storage servers due to Throughput needed\", infrastructure[infraRow].Throughput_target, storageservers);\n infrastructure[infraRow].storage_comments += \"Added more storage servers due to Throughput needed. \";\n }\n infrastructure[infraRow].storageservers = storageservers;\n \n // infrastructure[infraRow].storage_comments += \"Target DATA disk group is \"+infrastructure[infraRow].storage_target + \" GB.\" +\n // \" DATA disk group will be allocated \" + Math.round(100*data_disk_group_percent) + \"% of storage. Total storage (all disk groups) is \"+\n // Math.round(storageservers*tbs_per_storage_server*1000) + \"GB.\";\n \n infrastructure[infraRow].storage_total_available = Math.round(storageservers*tbs_per_storage_server ); //x11=90\n infrastructure[infraRow].storage_data_dg = Math.round(storageservers*tbs_per_storage_server * data_disk_group_percent );\n infrastructure[infraRow].storage_reco_dg = Math.round(storageservers*tbs_per_storage_server * reco_disk_group_percent);\n infrastructure[infraRow].storage_sparse_dg = Math.round(storageservers*tbs_per_storage_server * (1-data_disk_group_percent-reco_disk_group_percent)) ;\n \n \n } \n return infrastructure; \n \n} \n\n\n\n\nfunction calculate_exadata_config(regionInfo, databases) {\n\n var exaTargets = aggregate_database_targets(databases);\n // console.log(\"calculate_exadata_config- exaTargets\", exaTargets);\n // TODO: what about multiple scenarioNames? exaTargets should be an array keyed by scenarioName \n \n var infrastructure = pick_exadata_shape(exaTargets);\n // console.log(\"calculate_exadata_config- infrastructure (post pick shape)\", infrastructure);\n\n\n for (var groupi=0; groupi< infrastructure.length ; groupi++) {\n \n // according to price list: https://www.oracle.com/cloud/price-list/#exadata, quarter rack is $14.5162/hour, but servr is $2.9032.hour.\n // that means that infrastructure is $10800.0528, not 10799.904. A difference of 0.1488. Or 0.02976 per server.\n // so we will add 2*0.02976 to the base db_server cost and 3*0.02976 to the storage_cost to match Oracle cost calculator\n // this is only for X9M\n var cost_fix=0.02976;\n if (infrastructure[groupi].model==\"X11M\") {\n cost_fix=0;\n }\n infrastructure[groupi].dbserver_cost = Math.round(infrastructure[groupi].dbservers * 2.9032 * 744 *100 + 2*cost_fix*100)/100; //regionInfo.odbDBSERVER\n infrastructure[groupi].storage_cost = Math.round(infrastructure[groupi].storageservers * 2.9032 * 744 *100 + 3*cost_fix*100)/100; //regionInfo.odbSTORAGESERVER\n \n // ECPU FAQ: https://www.oracle.com/a/ocom/docs/autonomous-database-ecpu-faq.pdf\n // Convert OCPUs to ECPUs based on cost.\n // Autonomous is priced the same as ExaCS? $0.3226 per OCPU?\n var BYOL_cost = 0.3226;\n var LI_cost=1.3441;\n if (infrastructure[groupi].model==\"X11M\") {\n BYOL_cost = 0.0807;\n LI_cost = 0.336;\n }\n \n if (infrastructure[groupi].frozen_prefs.odbAWS_Licensing==\"BYOL\") {\n infrastructure[groupi].Usage_cost = Math.round(infrastructure[groupi].UsageUnits_provisioned * BYOL_cost * 744 *100)/100; //regionInfo.odbOCPUBYOL\n infrastructure[groupi].licenseType = \"BYOL\";\n infrastructure[groupi].licenseText = \"BYOL \" + infrastructure[groupi].Usage_units + \" Usage for \"+infrastructure[groupi].UsageUnits_provisioned+ \" \" + infrastructure[groupi].Usage_units + \"s\";\n } else {\n infrastructure[groupi].Usage_cost = Math.round(infrastructure[groupi].UsageUnits_provisioned * LI_cost * 744 *100)/100; //regionInfo.odbOCPULI\n infrastructure[groupi].licenseType = \"LI\";\n infrastructure[groupi].licenseText = \"License Included \" + infrastructure[groupi].Usage_units + \" Usage for \"+infrastructure[groupi].UsageUnits_provisioned+ \" \" + infrastructure[groupi].Usage_units + \"s\";\n } \n infrastructure[groupi].monthly_estimate = Math.round( (infrastructure[groupi].dbserver_cost + infrastructure[groupi].storage_cost + infrastructure[groupi].Usage_cost) *100)/100;\n infrastructure[groupi].specificationText = \"Exadata \" + infrastructure[groupi].model + \" Dedicated Infrastructure (\" + infrastructure[groupi].dbservers + \" db servers and \" +\n infrastructure[groupi].storageservers + \" storage servers with \" +\n infrastructure[groupi].licenseType+ \" usage for \" + infrastructure[groupi].UsageUnits_provisioned + \" \" + infrastructure[groupi].Usage_units + \"s)\";\n \n infrastructure[groupi].summaryText = infrastructure[groupi].specificationText + \" = $\" +\n infrastructure[groupi].monthly_estimate + \" per month\";\n \n infrastructure[groupi].summaryText = infrastructure[groupi].summaryText + \". (Infrastructure=$\" + Math.round( (infrastructure[groupi].dbserver_cost + infrastructure[groupi].storage_cost ) *100)/100 +\n \" \" + infrastructure[groupi].Usage_units + \"s=$\" + Math.round( ( infrastructure[groupi].Usage_cost ) *100)/100 + \")\";\n \n \n }\n \n // console.log(\"calculate_exadata_config- infrastructure (post pricing)\", infrastructure);\n return infrastructure;\n}\n\n\n\n\n\n\nexport {aggregate_database_targets};\nexport {pick_exadata_shape};\nexport {calculate_exadata_config};\n","\n\n\n\n\n\nfunction pick_elasticache_shape(regionInfo, config) {\n\n\n// regionInfo.shapes = array of different Elasticache Shapes to consider\n// config = details about the target values and other properties of the database\n\n\n\n\n //Now work on Elasticache\n // console.log(\"pick_elasticache_shape\");\n\n var OrigelasticacheItems = regionInfo.shapes;\n \n // do we even look for an elasticache (is SGA bigger than minimum)\n if (config.Memory*1 < config.frozen_prefs.caching_minmem*1) {\n console.log(\"pick_elasticache_shape: not looking for elasticache because SGA is smaller than minimum \");\n return null;\n }\n \n var targetCacheMemory = config.Memory * 0.5 / 3;\n if (config.frozen_prefs.caching_algo==\"ec25\") targetCacheMemory = config.Memory * (0.25) / 3;\n if (config.frozen_prefs.caching_algo==\"ec65\") targetCacheMemory = config.Memory * (0.65) / 3;\n // console.log(\"targetCacheMemory = \" + targetCacheMemory);\n\n function elasticacheCompareCost(a, b) {\n // Use toUpperCase() to ignore character casing\n const itemA = ((config.UseRI=='RI') && a.Elasticache1yrNURI * 1 > 0 ? a.Elasticache1yrNURI*1 : a.ElasticacheOD*1) * 10000 + a.ElasticacheMemory*1;\n const itemB = ((config.UseRI=='RI') && b.Elasticache1yrNURI * 1 > 0 ? b.Elasticache1yrNURI*1 : b.ElasticacheOD*1) * 10000 + b.ElasticacheMemory*1;\n\n let comparison = 0;\n if (itemA > itemB) {\n comparison = 1;\n } else if (itemA < itemB) {\n comparison = -1;\n } else if (itemA == itemB) {\n // final sort is by Name in REVERSE order. This should make r6i.xlarge appear ahead of r5.xlarge\n if (a.Name > b.Name) {\n comparison = -1;\n } else if (a.Name < b.Name) {\n comparison = 1;\n }\n }\n return comparison;\n }\n //filter out shapes that don 't have EC prices\n OrigelasticacheItems = OrigelasticacheItems.filter(function(item) {\n return item.ElasticacheOD * 1 > 0;\n }\n );\n var elasticacheItems = OrigelasticacheItems.sort(elasticacheCompareCost);\n // console.log(elasticacheItems);\n \n //Now work on Elasticache\n var elasticacheSelected = null;\n let closeness = -999;\n let closeness_string = \"\";\n let match_string = \"\";\n \n let gap_memory= 0;\n\n for (var bii = 0; bii < elasticacheItems.length; bii++) {\n \n // console.log(\"looping\", elasticacheItems[bii].Name, elasticacheItems[bii].ElasticacheMemory, elasticacheItems[bii].ElasticacheOD );\n\n if (elasticacheItems[bii].ElasticacheOD*1>0) {\n // hard-code to allow T shapes. \n\n if ( ( true ||\n config.frozen_prefs.tshape_algo == \"Y\" ||\n elasticacheItems[bii].Name.substring(0, 1) != \"t\"\n ) )\n {\n \n match_string = `cache.${elasticacheItems[bii].Name} with ${elasticacheItems[bii].VCPU} VCPU, ${elasticacheItems[bii].ElasticacheMemory} GB`;\n \n // console.log(\"testing\", match_string);\n \n if (\n elasticacheItems[bii].ElasticacheMemory * 1 >= targetCacheMemory * 1 \n ) {\n //check if we can use T shapes\n // console.log(\"substr: \"+elasticacheItems[bii].Name.substring(0,4));\n \n elasticacheSelected = elasticacheItems[bii];\n // console.log(\"Submit: found elasticache match:\"+elasticacheItems.Name)\n break;\n \n } else {\n //the shape was not selected.\n let new_closeness = \n Math.min((elasticacheItems[bii].ElasticacheMemory * 1 - targetCacheMemory * 1 ) / elasticacheItems[bii].ElasticacheMemory,0) ;\n\n \n if (new_closeness > closeness) {\n gap_memory= Math.round((Math.max((targetCacheMemory * 1 ) - elasticacheItems[bii].ElasticacheMemory * 1 ,0))*10)/10;\n // closeness_string = `Next closest match: cache.${elasticacheItems[bii].Name} with ${elasticacheItems[bii].VCPU} VCPU, ${elasticacheItems[bii].Memory} GB`;\n closeness_string = `Next closest match: cache.${elasticacheItems[bii].Name} with ${elasticacheItems[bii].VCPU} VCPU, ${elasticacheItems[bii].ElasticacheMemory} GB${(gap_memory>0) ? \" (short \"+gap_memory+\" GB)\" : \"\"}`;\n \n closeness=new_closeness;\n }\n }\n } \n } //end if (elasticacheItems[bii].ElasticacheOD*1>0) { \n } //end loop\n \n\n // console.log(match_string);\n // console.log(\"RDS\", closeness_string);\n if (elasticacheSelected==null) {\n elasticacheSelected = { Name: null};\n }\n\n elasticacheSelected.closeness_string = closeness_string;\n elasticacheSelected.match_string = match_string;\n elasticacheSelected.elasticache_gap_memory = gap_memory;\n elasticacheSelected.target_memory= targetCacheMemory;\n\n return elasticacheSelected;\n }\n\n\n\n\n\nfunction calculate_elasticache_config(regionInfo, elasticacheItemSelected, config) {\n\n// **************************\n// Elasticache Configuration\n// **************************\n\n// elasticacheItemSelected = a document contain specific rdsItem (shape) and its details, closeness_string, and match_string\n// config = details about the target values and other properties of the database\n\n\n\n\n // Step 2 - prepare additional fields describing the configuration \n \n \n //TODO hard code backup for now\n config.BackupType = 'none';\n config.Backup = '0';\n config.SnapshotDays = '1';\n\n\n if ((elasticacheItemSelected.Name == null)) {\n //if rds_shape==N/A, then don't pick an Elasticache shape either\n // console.log(\"Submit: No matching Elasticache found for \"+ config.database)\n // config.iomb_warnings = \"Y\";\n config.elasticache_shape = \"N/A\";\n config.targetconfig_elasticache = {\n summaryText: \"DBCSI's current logic is not able to auto-size this configuration for Elasticache. Please reach out to your AWS Database Specialist for help.\",\n monthly_estimate: \"null\", \n shape: \"null\",\n shape_OD: \"null\",\n shape_RI: \"null\",\n shape_max_vcpu: \"null\",\n shape_memory: \"null\",\n requested_memory: \"null\",\n shape_throughput: \"null\",\n shape_summaryText: \"\",\n comments: \"\",\n warnings: \"No matching shape found\",\n closeness_string: elasticacheItemSelected.closeness_string,\n match_string: \"\"\n \n } ;\n } else\n {\n\n\n // Step 2b - This is a fit. So, describe it\n \n\n var tempConfig = {\n summaryText: \"Select an Elasticache Shape to continue...\",\n monthly_estimate: \"null\",\n shape: \"null\",\n shape_OD: \"null\",\n shape_RI: \"null\",\n shape_max_vcpu: \"null\",\n shape_memory: \"null\",\n requested_memory: \"null\",\n shape_throughput: \"null\",\n shape_summaryText: \"\",\n shape_cost: \"\",\n comments: \"\",\n UseMAZ: \"No\"\n };\n\n\n tempConfig.shape = elasticacheItemSelected.Name;\n tempConfig.shape_OD = elasticacheItemSelected.ElasticacheOD;\n tempConfig.shape_RI = elasticacheItemSelected.Elasticache1yrNURI;\n tempConfig.shape_max_vcpu = elasticacheItemSelected.VCPU;\n tempConfig.requested_memory = elasticacheItemSelected.target_memory;\n tempConfig.shape_memory = elasticacheItemSelected.ElasticacheMemory;\n tempConfig.shape_throughput = elasticacheItemSelected.Throughput;\n tempConfig.shape_network = elasticacheItemSelected.Network;\n tempConfig.shape_baseline_network = elasticacheItemSelected.baseline_Network;\n // tempConfig.comments = this.comments.Elasticache;\n if (typeof tempConfig.comments === \"undefined\") {\n tempConfig.comments = \"\";\n }\n tempConfig.UseMAZ = config.UseMAZ;\n tempConfig.RIused=\"OD\";\n\n \n if (1 * tempConfig.requested_memory > 1 * tempConfig.shape_memory) {\n tempConfig.cpu_warnings =\n tempConfig.cpu_warnings +\n \"The shape \" +\n tempConfig.shape +\n \" does not have \" +\n tempConfig.requested_memory +\n \" GB of memory. \";\n }\n \n \n\n\n var shapeCost = 0;\n var mazString = \"\";\n var mazFactor = 1.0;\n if (tempConfig.UseMAZ==\"Yes\") {\n mazString=\" (2 instances: Primary and Replica)\";\n mazFactor = 2.0;\n }\n if ((config.UseRI=='RI') && tempConfig.shape_RI > 0) {\n shapeCost = tempConfig.shape_RI * 730 * mazFactor;\n tempConfig.shape_summaryText = \"Elasticache Compute\";\n \n\n tempConfig.shape_summaryText += mazString+\" Monthly estimate (using 1-year Reserved Instance pricing for Elasticache): $\" +\n shapeCost.toFixed(2);\n tempConfig.RIused=\"RI\";\n } else {\n shapeCost = tempConfig.shape_OD * 730 * mazFactor;\n tempConfig.shape_summaryText = \"Elasticache Compute\";\n\n\n tempConfig.shape_summaryText += mazString+\" Monthly estimate (using On-Demand pricing for Elasticache): $\" +\n shapeCost.toFixed(2);\n }\n tempConfig.shape_cost = shapeCost;\n\n\n var tempCost = shapeCost ;\n\n tempConfig.summaryText =\n \"Elasticache\"+mazString+\" Monthly = [\" + (tempConfig.UseMAZ==\"Yes\" ? \"2xcache.\" : \"cache.\") +\n elasticacheItemSelected.Name +\n \"]\" +\n \" = $\" +\n (tempCost).toFixed(2);\n \n\n tempConfig.monthly_estimate=Math.round(tempCost*100)/100;\n\n\n\n \n var target_elasticache = tempConfig;\n // console.log(\"Submit: elasticache=\" + target_elasticache.summaryText);\n // config.elasticache_shape = target_elasticache.shape;\n config.targetconfig_elasticache = target_elasticache;\n config.targetconfig_elasticache.closeness_string = elasticacheItemSelected.closeness_string;\n config.targetconfig_elasticache.match_string = elasticacheItemSelected.match_string;\n \n //set Adjusted target values based on algos\n var adjustRatio = 0.5;\n if (config.frozen_prefs.caching_algo==\"ec25\") adjustRatio = 0.25;\n if (config.frozen_prefs.caching_algo==\"ec65\") adjustRatio = 0.65;\n config.AdjustedVCPU = Math.round(config.VCPU * (1-adjustRatio) * 10)/10;\n config.AdjustedMemory = Math.round(config.Memory * (1 - adjustRatio));\n config.AdjustedIOPS = Math.round(config.IOPS * (1 - adjustRatio));\n config.AdjustedThroughput = Math.round(config.Throughput * (1 - adjustRatio));\n config.targetconfig_elasticache.elasticache_assumptions = \"Reduce RDS requirements by \" + (adjustRatio*100) + \"%. Size ElastiCache based on 1:3 ratio to SGA reduction.\";\n \n }\n\n\n\n return config;\n }\n\n\nexport {pick_elasticache_shape};\n\nexport {calculate_elasticache_config};","// ***********************************\n// Batch.vue\n// ***********************************\n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Batch.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Batch.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./Batch.vue?vue&type=template&id=3e5d9a9e\"\nimport script from \"./Batch.vue?vue&type=script&lang=js\"\nexport * from \"./Batch.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('div',[_c('router-link',{attrs:{\"to\":{ name: 'BatchHome'}}},[_vm._v(\"List\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'BatchAdd'}}},[_vm._v(\"Add\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Profile' }}},[_vm._v(\"Share\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Shapes' }}},[_vm._v(\"ShapeBrowser\")])],1),_vm._v(\" Switch to the \"),_c('router-link',{attrs:{\"to\":{ name: 'Main'}}},[_vm._v(\"single database list view\")]),_vm._v(\".\"),_c('br'),_c('br'),_c('b-card',{attrs:{\"header\":\"Your Database Batches\"}},[_c('b-list-group',[_c('b-list-group-item',[_c('div',[_c('b-pagination',{attrs:{\"total-rows\":_vm.batch_list.length,\"per-page\":_vm.perPage,\"size\":\"sm\",\"align\":\"center\"},model:{value:(_vm.currentInputPage),callback:function ($$v) {_vm.currentInputPage=$$v},expression:\"currentInputPage\"}}),_c('b-table',{staticClass:\"table table-sm\",attrs:{\"per-page\":_vm.perPage,\"current-page\":_vm.currentInputPage,\"striped\":\"\",\"hover\":\"\",\"responsive\":\"\",\"bordered\":\"\",\"items\":_vm.batch_list,\"fields\":_vm.inputFields,\"sort-by\":_vm.inputSortBy},on:{\"update:sortBy\":function($event){_vm.inputSortBy=$event},\"update:sort-by\":function($event){_vm.inputSortBy=$event}},scopedSlots:_vm._u([{key:\"cell(batchname)\",fn:function(row){return [_c('div',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"title\":`${row.item.descr}`}},[_vm._v(_vm._s(row.item.batchname))]),((row.item.batch_type=='ConsolidatedDB'))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`This is a tentative new Consolidated Database containing other individual databases.`),expression:\"`This is a tentative new Consolidated Database containing other individual databases.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/Consolidated.png\"),\"height\":\"20px\",\"title\":\"Consolidated\"}}):_vm._e()]}},{key:\"cell(statusLong)\",fn:function(row){return [_vm._v(\" \"+_vm._s(row.item.statusLong)),_c('br'),_vm._v(_vm._s(row.item.status_reason)+\" \")]}},{key:\"cell(size_button)\",fn:function(row){return [_c('b-button',{staticClass:\"mr-1\",attrs:{\"size\":\"sm\",\"to\":{ name: 'Batch', params: {batch_id: row.item.batch_id} }}},[_vm._v(\"Size\")])]}},{key:\"cell(delete_button)\",fn:function(row){return [_c('b-button',{staticClass:\"mr-1\",attrs:{\"size\":\"sm\",\"to\":{ name: 'BatchDelete', params: {batch_id: row.item.batch_id} }}},[_vm._v(\"Delete\")])]}}])})],1)])],1)],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// ***********************************\n// BatchMain.vue\n// ***********************************\n \n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./BatchMain.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./BatchMain.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./BatchMain.vue?vue&type=template&id=28d60dff\"\nimport script from \"./BatchMain.vue?vue&type=script&lang=js\"\nexport * from \"./BatchMain.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('div',[_c('router-link',{attrs:{\"to\":{ name: 'BatchHome'}}},[_vm._v(\"List\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'BatchAdd'}}},[_vm._v(\"Add\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Profile' }}},[_vm._v(\"Share\")])],1),_c('br'),_c('b-alert',{attrs:{\"show\":_vm.showAlert,\"variant\":_vm.alertStyle}},[_vm._v(_vm._s(_vm.alertText)+\" \"),_c('div',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.showAlert && _vm.alertStyle=='success'),expression:\"showAlert && alertStyle=='success'\"}]},[_c('router-link',{attrs:{\"to\":{ name: 'BatchHome' }}},[_vm._v(\"Click here to continue\")])],1)]),(!_vm.showAlert)?_c('b-card',{attrs:{\"header\":\"Add a batch of databases\"}},[_vm._v(\" Switch to the \"),_c('router-link',{attrs:{\"to\":{ name: 'Add'}}},[_vm._v(\"add one database at a time\")]),_vm._v(\" feature, or \"),_c('router-link',{attrs:{\"to\":{ name: 'BatchDefine'}}},[_vm._v(\"define a batch from some of the existing databases\")]),_vm._v(\" that have already been uploaded.\"),_c('br'),_c('br'),_vm._v(\" Hint: You can still use this batch add feature even if you individually/manually collected the DBCSI output files without using the batch script. You just need to zip the output files together and upload the zip file in Step 5 below.\"),_c('br'),_c('br'),_c('b-list-group',[_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"First, select the type of database you are investigating.\")]),_c('p'),_c('b-form-select',{staticClass:\"mb-3\",model:{value:(_vm.selected),callback:function ($$v) {_vm.selected=$$v},expression:\"selected\"}},[_c('option',{attrs:{\"value\":\"null\"}},[_vm._v(\"Please select your database type\")]),_c('option',{attrs:{\"value\":\"ora_v1\"}},[_vm._v(\"Oracle Standard or Enterprise Edition (AWR or STATSPACK)\")]),_c('option',{attrs:{\"value\":\"msft_v1\",\"disabled\":\"\"}},[_vm._v(\"Microsoft SQL Server\")])])],1)]),_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"Second, download and unzip the batch collection zip file for your database type.\")]),((_vm.selected=='ora_v1'))?_c('b-card',{attrs:{\"bg-variant\":\"light\"}},[_vm._v(\" Download the Oracle batch_ora data collection zip file from \"),_c('a',{attrs:{\"href\":\"/batch_ora.zip\",\"target\":\"_blank\"}},[_vm._v(\"here\")]),_vm._v(\". Then unzip it to find a shell script, SQL script, properties file, and README. \")]):_vm._e()],1)]),_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"Third, edit the batch_ora.properties properties file to add a list of your databases and their connection information.\")]),((_vm.selected=='ora_v1'))?_c('b-card',{attrs:{\"bg-variant\":\"light\"}},[_vm._v(\"Instructions: See the README in the downloaded batch_ora.zip file for more information. \"),_c('br')]):_vm._e()],1)]),_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"Fourth, run the shell script. It will connect to each of the databases you listed in the properties file and generate a consolidated output file of metrics.\")]),((_vm.selected=='ora_v1'))?_c('b-card',{attrs:{\"bg-variant\":\"light\"}},[_vm._v(\"Instructions: Run the batch_ora.sh shell script.\")]):_vm._e()],1)]),_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"Fifth, provide some additional details and upload your batch collection output file.\")]),((_vm.selected=='ora_v1'))?_c('b-card',{staticClass:\"text-left\",attrs:{\"bg-variant\":\"light\"}},[(_vm.show)?_c('b-form',{on:{\"submit\":_vm.onSubmit,\"reset\":_vm.onReset}},[_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup2\",\"label\":\"Customer Name:\",\"label-for\":\"customer\"}},[_c('b-form-input',{attrs:{\"id\":\"customer\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter customer name.\",\"list\":\"my-list-id\"},model:{value:(_vm.form.customer),callback:function ($$v) {_vm.$set(_vm.form, \"customer\", $$v)},expression:\"form.customer\"}}),_c('datalist',{attrs:{\"id\":\"my-list-id\"}},_vm._l((this.CustomerChoices),function(item){return _c('option',[_vm._v(_vm._s(item.value))])}),0)],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup3\",\"label\":\"Batch Name:\",\"label-for\":\"batchname\"}},[_c('b-form-input',{attrs:{\"id\":\"batchname\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter batch name.\"},model:{value:(_vm.form.batchname),callback:function ($$v) {_vm.$set(_vm.form, \"batchname\", $$v)},expression:\"form.batchname\"}})],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup4\",\"label\":\"Description:\",\"label-for\":\"descr\"}},[_c('b-form-textarea',{attrs:{\"id\":\"descr\",\"required\":\"\",\"placeholder\":\"Enter a description for this batch of databases.\",\"rows\":3,\"max-rows\":6},model:{value:(_vm.form.descr),callback:function ($$v) {_vm.$set(_vm.form, \"descr\", $$v)},expression:\"form.descr\"}})],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup5\",\"label\":\"Select the batch output file to be uploaded. We suggest no more than approx 75 databases per batch.\",\"label-for\":\"output_file\"}},[_c('b-form-file',{ref:\"fileinput\",attrs:{\"id\":\"output_file\",\"state\":Boolean(_vm.output_file),\"required\":\"\",\"placeholder\":\"Choose a file... This must be a Zip file containing .out files. Do not upload an AWR HTML Report.\"},on:{\"change\":_vm.onFileChange},model:{value:(_vm.output_file),callback:function ($$v) {_vm.output_file=$$v},expression:\"output_file\"}}),_c('b-alert',{attrs:{\"show\":_vm.showFileAlert,\"variant\":\"danger\"}},[_vm._v(_vm._s(_vm.alertFileText))]),_c('img',{attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"14px\"}}),_vm._v(\"Reminder: always use the most recent DBCSI data collection script (available to download above) for the latest features and fixes. \")],1),_c('b-alert',{attrs:{\"variant\":\"danger\",\"show\":_vm.showSampleAlert}},[_vm._v(\"The \\\"sample\\\" user is not allowed to upload new databases. Please sign-out and create your own user.\")]),_c('b-button',{attrs:{\"type\":\"submit\",\"disabled\":_vm.showFileAlert || _vm.showSampleAlert,\"variant\":\"primary\"}},[_vm._v(\"Submit\")]),_c('b-button',{attrs:{\"type\":\"reset\",\"variant\":\"danger\"}},[_vm._v(\"Reset\")])],1):_vm._e()],1):_vm._e()],1)])],1)],1):_vm._e()],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// ***********************************\n// BatchAdd.vue\n// ***********************************\n \n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./BatchAdd.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./BatchAdd.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./BatchAdd.vue?vue&type=template&id=7bff389e\"\nimport script from \"./BatchAdd.vue?vue&type=script&lang=js\"\nexport * from \"./BatchAdd.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('div',[_c('router-link',{attrs:{\"to\":{ name: 'BatchHome'}}},[_vm._v(\"List\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'BatchAdd'}}},[_vm._v(\"Add\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Profile' }}},[_vm._v(\"Share\")])],1),_c('br'),_c('b-alert',{attrs:{\"show\":_vm.showAlert,\"variant\":_vm.alertStyle}},[_vm._v(_vm._s(_vm.alertText)+\" \"),_c('div',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.showAlert && _vm.alertStyle=='success'),expression:\"showAlert && alertStyle=='success'\"}]},[_c('router-link',{attrs:{\"to\":{ name: 'BatchHome' }}},[_vm._v(\"Click here to continue\")])],1)]),(!_vm.showAlert)?_c('b-card',{attrs:{\"header\":\"Create a new batch from your already uploaded databases\"}},[_c('b-list-group',[(_vm.show)?_c('b-form',{on:{\"submit\":_vm.onSubmit,\"reset\":_vm.onReset}},[_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"Use the checkboxes to select the databases you want to include in the batch\")]),_c('b-card',{staticClass:\"text-left\",attrs:{\"bg-variant\":\"light\"}},[_c('div',{attrs:{\"id\":\"demo\"}},[_c('b-pagination',{attrs:{\"total-rows\":_vm.collection_list.length,\"per-page\":_vm.perPage,\"size\":\"sm\",\"align\":\"center\"},model:{value:(_vm.currentInputPage),callback:function ($$v) {_vm.currentInputPage=$$v},expression:\"currentInputPage\"}}),_c('b-table',{staticClass:\"table table-sm\",attrs:{\"per-page\":_vm.perPage,\"current-page\":_vm.currentInputPage,\"striped\":\"\",\"hover\":\"\",\"responsive\":\"\",\"bordered\":\"\",\"items\":_vm.collection_list,\"fields\":_vm.inputFields,\"sort-by\":_vm.inputSortBy},on:{\"update:sortBy\":function($event){_vm.inputSortBy=$event},\"update:sort-by\":function($event){_vm.inputSortBy=$event}},scopedSlots:_vm._u([{key:\"cell(collection_id)\",fn:function(row){return [_c('b-form-checkbox',{attrs:{\"value\":\"Y\",\"unchecked-value\":\"N\",\"size\":\"sm\"},model:{value:(row.item.include),callback:function ($$v) {_vm.$set(row.item, \"include\", $$v)},expression:\"row.item.include\"}})]}},{key:\"cell(db_name)\",fn:function(row){return [_c('a',{attrs:{\"href\":`/metrics/${row.item.collection_id}/ora_v1`,\"target\":\"_blank\"}},[_vm._v(_vm._s(row.item.db_name))])]}}],null,false,1207481619)}),_c('br'),_c('br'),_c('br')],1)])],1)]),_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"Provide some details about this batch.\")]),_c('b-card',{staticClass:\"text-left\",attrs:{\"bg-variant\":\"light\"}},[_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup2\",\"label\":\"Customer Name:\",\"label-for\":\"customer\"}},[_c('b-form-input',{attrs:{\"id\":\"customer\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter customer name.\",\"list\":\"my-list-id\"},model:{value:(_vm.form.customer),callback:function ($$v) {_vm.$set(_vm.form, \"customer\", $$v)},expression:\"form.customer\"}}),_c('datalist',{attrs:{\"id\":\"my-list-id\"}},_vm._l((this.CustomerChoices),function(item){return _c('option',[_vm._v(_vm._s(item.value))])}),0)],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup3\",\"label\":\"Batch Name:\",\"label-for\":\"batchname\"}},[_c('b-form-input',{attrs:{\"id\":\"batchname\",\"type\":\"text\",\"required\":\"\",\"placeholder\":\"Enter batch name.\"},model:{value:(_vm.form.batchname),callback:function ($$v) {_vm.$set(_vm.form, \"batchname\", $$v)},expression:\"form.batchname\"}})],1),_c('b-form-group',{attrs:{\"id\":\"exampleInputGroup4\",\"label\":\"Description:\",\"label-for\":\"descr\"}},[_c('b-form-textarea',{attrs:{\"id\":\"descr\",\"required\":\"\",\"placeholder\":\"Enter a description for this batch of databases.\",\"rows\":3,\"max-rows\":6},model:{value:(_vm.form.descr),callback:function ($$v) {_vm.$set(_vm.form, \"descr\", $$v)},expression:\"form.descr\"}})],1)],1)],1)]),_c('b-list-group-item',[_c('div',[_c('b',[_vm._v(\"Save your new batch definition\")]),_c('b-card',{staticClass:\"text-left\",attrs:{\"bg-variant\":\"light\"}},[_c('div',{staticClass:\"text-center\"},[_c('b-button',{attrs:{\"type\":\"submit\",\"disabled\":_vm.showFileAlert,\"variant\":\"primary\"}},[_vm._v(\"Save\")])],1)])],1)])],1):_vm._e()],1)],1):_vm._e()],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// ***********************************\n// BatchDefine.vue\n// ***********************************\n \n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./BatchDefine.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./BatchDefine.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./BatchDefine.vue?vue&type=template&id=02e82aa8\"\nimport script from \"./BatchDefine.vue?vue&type=script&lang=js\"\nexport * from \"./BatchDefine.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('div',[_c('router-link',{attrs:{\"to\":{ name: 'BatchHome'}}},[_vm._v(\"List\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'BatchAdd'}}},[_vm._v(\"Add\")]),_vm._v(\" | \"),_c('router-link',{attrs:{\"to\":{ name: 'Profile' }}},[_vm._v(\"Share\")])],1),_c('br'),_c('b-form',{on:{\"submit\":_vm.deleteBatch,\"reset\":_vm.onReset}},[_c('b-card',{attrs:{\"header\":\"Delete Batch\"}},[_c('b-list-group',[_c('b-list-group-item',[_c('div',[_c('div',{attrs:{\"id\":\"demo\"}},[_c('br'),_vm._v(\" Databases in this Batch Definition: \"),_c('b-table',{staticClass:\"table table-sm\",attrs:{\"per-page\":_vm.perPage,\"current-page\":_vm.currentInputPage,\"striped\":\"\",\"hover\":\"\",\"responsive\":\"\",\"bordered\":\"\",\"items\":_vm.batchItems,\"fields\":_vm.inputFields,\"sort-by\":_vm.inputSortBy},on:{\"update:sortBy\":function($event){_vm.inputSortBy=$event},\"update:sort-by\":function($event){_vm.inputSortBy=$event}},scopedSlots:_vm._u([{key:\"cell(database)\",fn:function(row){return [_c('a',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",modifiers:{\"hover\":true}}],attrs:{\"title\":`${row.item.description}`,\"href\":`/metrics/${row.item.collectionID}/ora_v1`,\"target\":\"_blank\"}},[_vm._v(_vm._s(row.item.database))])]}}])}),_c('b-pagination',{attrs:{\"total-rows\":_vm.batchItems.length,\"per-page\":_vm.perPage,\"size\":\"sm\",\"align\":\"center\"},model:{value:(_vm.currentInputPage),callback:function ($$v) {_vm.currentInputPage=$$v},expression:\"currentInputPage\"}}),_c('br'),_c('br'),_c('br')],1),_c('div',[_c('b-form-group',{attrs:{\"label\":\"Delete databases from DBCSI too?\",\"label-cols\":\"3\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},model:{value:(_vm.delete_databases),callback:function ($$v) {_vm.delete_databases=$$v},expression:\"delete_databases\"}},[_c('option',{attrs:{\"value\":\"yes\",\"disabled\":\"\"}},[_vm._v(\"Yes- delete the batch definition AND all of the databases from DBCSI\")]),_c('option',{attrs:{\"value\":\"no\"}},[_vm._v(\"No- delete the batch definition BUT leave the databases in DBCSI\")])])],1),_c('b-button',{directives:[{name:\"b-modal\",rawName:\"v-b-modal.modal-1\",modifiers:{\"modal-1\":true}}],attrs:{\"type\":\"button\",\"block\":\"\",\"variant\":\"outline-primary\"}},[_vm._v(\"Delete this Batch Definition\")]),_c('b-modal',{attrs:{\"id\":\"modal-1\",\"title\":\"Confirm Delete\",\"okVariant\":\"danger\"},on:{\"ok\":_vm.deleteBatch}},[(_vm.delete_databases=='no')?_c('p',{staticClass:\"my-4\"},[_vm._v(\"Are you sure you want to delete this batch?\")]):_vm._e(),(_vm.delete_databases=='yes')?_c('p',{staticClass:\"my-4\"},[_vm._v(\"Are you sure you want to delete this batch AND its databases?\")]):_vm._e(),_c('b-alert',{attrs:{\"show\":_vm.showAlertdelete,\"variant\":_vm.alertStyledelete}},[_vm._v(_vm._s(_vm.alertTextdelete)+\" \"),_c('div',{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.showAlertdelete && _vm.alertStyledelete=='success'),expression:\"showAlertdelete && alertStyledelete=='success'\"}]},[_c('router-link',{attrs:{\"to\":{ name: 'BatchHome' }}},[_vm._v(\"Click here to continue\")])],1)])],1),_c('br')],1)])])],1)],1)],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// ***********************************\n// Batch.vue\n// ***********************************\n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./BatchDelete.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./BatchDelete.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./BatchDelete.vue?vue&type=template&id=ea616720\"\nimport script from \"./BatchDelete.vue?vue&type=script&lang=js\"\nexport * from \"./BatchDelete.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function render(){var _vm=this,_c=_vm._self._c;return _c('div',{attrs:{\"id\":\"app\"}},[_c('div',{staticClass:\"container\"},[_c('b-card',{attrs:{\"header\":\"Database Compute Shape Browser\"}},[_c('b-list-group',[_c('b-list-group-item',[_c('div',[_c('b-form-group',{attrs:{\"label\":\"AWS Region for Pricing:\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\",\"options\":_vm.region_lov},on:{\"change\":_vm.changeRegion},model:{value:(_vm.regionCode),callback:function ($$v) {_vm.regionCode=$$v},expression:\"regionCode\"}})],1),_c('b-form-group',{directives:[{name:\"b-tooltip\",rawName:\"v-b-tooltip.hover\",value:('This tells DBCSI the type of Shapes you want to browse'),expression:\"'This tells DBCSI the type of Shapes you want to browse'\",modifiers:{\"hover\":true}}],attrs:{\"label\":\"Database Type\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-select',{attrs:{\"size\":\"sm\"},on:{\"change\":_vm.changeDatabaseType},model:{value:(_vm.databaseType),callback:function ($$v) {_vm.databaseType=$$v},expression:\"databaseType\"}},[_c('option',{attrs:{\"value\":\"EC2\"}},[_vm._v(\"Oracle on EC2\")]),_c('option',{attrs:{\"value\":\"ec2fsxn\"}},[_vm._v(\"Oracle on EC2 Bare Metal\")]),_c('option',{attrs:{\"value\":\"--\",\"disabled\":\"\"}},[_vm._v(\"------------------------------------------------\")]),_c('option',{attrs:{\"value\":\"RDS\"}},[_vm._v(\"RDS-Oracle (BYOL)\")]),_c('option',{attrs:{\"value\":\"RDS-SE2\"}},[_vm._v(\"RDS-Oracle Standard Edition (License Included)\")]),_c('option',{attrs:{\"value\":\"RDS-Custom\"}},[_vm._v(\"RDS Custom for Oracle (BYOL)\")]),_c('option',{attrs:{\"value\":\"--\",\"disabled\":\"\"}},[_vm._v(\"------------------------------------------------\")]),_c('option',{attrs:{\"value\":\"Aurora\"}},[_vm._v(\"Aurora PostgreSQL\")]),_c('option',{attrs:{\"value\":\"--\",\"disabled\":\"\"}},[_vm._v(\"------------------------------------------------\")]),_c('option',{attrs:{\"value\":\"Db2\"}},[_vm._v(\"RDS-Db2 (BYOL)\")])])],1),_c('b-form-group',{attrs:{\"label\":\"Shape Name Filter\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"text\",\"size\":\"sm\",\"placeholder\":\"Enter part of a shape name to optionally filter\"},on:{\"change\":_vm.changeDatabaseType},model:{value:(_vm.shapeNameFilter),callback:function ($$v) {_vm.shapeNameFilter=$$v},expression:\"shapeNameFilter\"}})],1),_c('b-form-group',{attrs:{\"label\":\"VPCUs\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Type to Search\"},on:{\"change\":_vm.changeDatabaseType},model:{value:(_vm.ec2.VCPU),callback:function ($$v) {_vm.$set(_vm.ec2, \"VCPU\", $$v)},expression:\"ec2.VCPU\"}})],1),_c('b-form-group',{attrs:{\"label\":\"Memory (GB)\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Type to Search\"},on:{\"change\":_vm.changeDatabaseType},model:{value:(_vm.ec2.Memory),callback:function ($$v) {_vm.$set(_vm.ec2, \"Memory\", $$v)},expression:\"ec2.Memory\"}})],1),_c('b-form-group',{attrs:{\"label\":\"Throughput (MB/s)\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Type to Search\"},on:{\"change\":_vm.changeDatabaseType},model:{value:(_vm.ec2.Throughput),callback:function ($$v) {_vm.$set(_vm.ec2, \"Throughput\", $$v)},expression:\"ec2.Throughput\"}})],1),_c('b-form-group',{attrs:{\"label\":\"IOPS\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-input',{staticClass:\"col-6\",attrs:{\"type\":\"number\",\"size\":\"sm\",\"placeholder\":\"Enter desired IOPS\"},on:{\"change\":_vm.changeDatabaseType},model:{value:(_vm.ebs.IOPS),callback:function ($$v) {_vm.$set(_vm.ebs, \"IOPS\", $$v)},expression:\"ebs.IOPS\"}})],1),_c('b-form-group',{attrs:{\"label\":\"\",\"label-cols\":\"4\",\"label-size\":\"sm\"}},[_c('b-form-checkbox',{staticClass:\"col-6\",attrs:{\"size\":\"sm\",\"value\":\"Y\",\"unchecked-value\":\"N\"},on:{\"input\":_vm.changeDatabaseType},model:{value:(_vm.showMatchesOnly),callback:function ($$v) {_vm.showMatchesOnly=$$v},expression:\"showMatchesOnly\"}},[_vm._v(\" Show only matching shapes in table \")])],1),_c('b-table',{ref:\"table\",staticClass:\"table table-sm\",attrs:{\"sticky-header\":\"600px\",\"striped\":\"\",\"hover\":\"\",\"responsive\":\"\",\"bordered\":\"\",\"items\":_vm.shape_list,\"fields\":_vm.inputFields,\"sort-by\":_vm.inputSortBy,\"sort-desc\":_vm.inputSortDesc},on:{\"update:sortBy\":function($event){_vm.inputSortBy=$event},\"update:sort-by\":function($event){_vm.inputSortBy=$event},\"update:sortDesc\":function($event){_vm.inputSortDesc=$event},\"update:sort-desc\":function($event){_vm.inputSortDesc=$event}},scopedSlots:_vm._u([{key:\"cell(Name)\",fn:function(row){return [_c('div',[_vm._v(_vm._s(row.item.Name))]),((row.item.InstanceStorage!=null) && (row.item.InstanceStorage!='EBS only') && ( _vm.databaseType!='RDS' || (row.item.InstanceStorageGB!=null) ))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${row.item.InstanceStorage}`),expression:\"`${row.item.InstanceStorage}`\",modifiers:{\"hover\":true}}],staticStyle:{\"font-size\":\"12px\"},attrs:{\"title\":\"Instance Storage\"}},[_vm._v(_vm._s(row.item.InstanceStorage))]):_vm._e(),((_vm.databaseType=='RDS') && (_vm.showRatio))?_c('span',[_vm._v(\"Ratio: \"+_vm._s(Math.round(10*row.item.OracleOD / row.item.LinuxOD)/10)+\", \"+_vm._s(Math.round(10*row.item.Oracle1yrNURI / row.item.Linux1yrNURI)/10)+\" \")]):_vm._e()]}},{key:\"cell(VCPU)\",fn:function(row){return [_c('div',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`${row.item.Clockspeed} ${row.item.Processor}`),expression:\"`${row.item.Clockspeed} ${row.item.Processor}`\",modifiers:{\"hover\":true}}],attrs:{\"title\":\"Processor\"}},[_vm._v(_vm._s(row.item.VCPU))]),(false && ( (_vm.databaseType=='RDS') || (_vm.databaseType=='EC2') ) && (row.item.OptimizeVCPUs!=null) && (row.item.OptimizeVCPUs.indexOf(',')>=0))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Optimize CPU is available for these VCPU choices [ ${row.item.OptimizeVCPUs} ]`),expression:\"`Optimize CPU is available for these VCPU choices [ ${row.item.OptimizeVCPUs} ]`\",modifiers:{\"hover\":true}}],staticStyle:{\"font-size\":\"12px\"},attrs:{\"title\":\"Optimize CPU\"}},[_vm._v(\"Optimize CPU\")]):_vm._e(),_c('br'),((_vm.databaseType=='ec2fsxn') && (row.item.OracleCoreFactor*1<1) && (row.item.OracleCoreFactorConfidence=='yes'))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`Core Factor Friendly?`, content:`Your customers should review https://www.oracle.com/assets/processor-core-factor-table-070634.pdf and decide if the ${row.item.Processor} CPU matches ${row.item.OracleCoreFactorString? 'what the document lists as: ' + row.item.OracleCoreFactorString : 'the CPUs listed in the document.'}`, html: true}),expression:\"{title:`Core Factor Friendly?`, content:`Your customers should review https://www.oracle.com/assets/processor-core-factor-table-070634.pdf and decide if the ${row.item.Processor} CPU matches ${row.item.OracleCoreFactorString? 'what the document lists as: ' + row.item.OracleCoreFactorString : 'the CPUs listed in the document.'}`, html: true}\",modifiers:{\"hover\":true}}],staticStyle:{\"font-size\":\"12px\"}},[_vm._v(\"CFF (0.5)\")]):_vm._e(),((_vm.databaseType=='ec2fsxn') && (row.item.OracleCoreFactor*1<1) && (row.item.OracleCoreFactorConfidence=='maybe'))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`Core Factor Friendly????`, content:`Your customer should review https://www.oracle.com/assets/processor-core-factor-table-070634.pdf and decide if the ${row.item.Processor} CPU matches ${row.item.OracleCoreFactorString? 'what the document lists as: ' + row.item.OracleCoreFactorString : 'the CPUs listed in the document.'}`, html: true}),expression:\"{title:`Core Factor Friendly????`, content:`Your customer should review https://www.oracle.com/assets/processor-core-factor-table-070634.pdf and decide if the ${row.item.Processor} CPU matches ${row.item.OracleCoreFactorString? 'what the document lists as: ' + row.item.OracleCoreFactorString : 'the CPUs listed in the document.'}`, html: true}\",modifiers:{\"hover\":true}}],staticStyle:{\"font-size\":\"12px\"}},[_vm._v(\"CFF (0.5)??\")]):_vm._e(),((_vm.databaseType=='ec2fsxn') && (row.item.OracleCoreFactor*1==1) )?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`Not Core Factor Friendly?`, content:`Your customer should review https://www.oracle.com/assets/processor-core-factor-table-070634.pdf and decide if the ${row.item.Processor} CPU does or does not match ${row.item.OracleCoreFactorString? 'what the document lists as: ' + row.item.OracleCoreFactorString : 'the CPUs listed in the document.'}`, html: true}),expression:\"{title:`Not Core Factor Friendly?`, content:`Your customer should review https://www.oracle.com/assets/processor-core-factor-table-070634.pdf and decide if the ${row.item.Processor} CPU does or does not match ${row.item.OracleCoreFactorString? 'what the document lists as: ' + row.item.OracleCoreFactorString : 'the CPUs listed in the document.'}`, html: true}\",modifiers:{\"hover\":true}}],staticStyle:{\"font-size\":\"12px\"}},[_vm._v(\"CF (1.0)??\")]):_vm._e()]}},{key:\"cell(Geekbench5CoreScoreRounded)\",fn:function(row){return [((_vm.databaseType=='ec2fsxn') && (row.item.Geekbench5CoreScoreRounded))?_c('span',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:({title:`Geekbench v5 Single Core Performance`, content:`This is the Single Core CPU Performance benchmark (v5) from Geekbench. Higher values are better. In some cases, the score has been harmonized to give different shapes using the same CPU (such as x2iezn and m5zn) the same exact value to make shape selection work better. You can click on the score to see the actual benchmark report that was the original source of data.`, html: true}),expression:\"{title:`Geekbench v5 Single Core Performance`, content:`This is the Single Core CPU Performance benchmark (v5) from Geekbench. Higher values are better. In some cases, the score has been harmonized to give different shapes using the same CPU (such as x2iezn and m5zn) the same exact value to make shape selection work better. You can click on the score to see the actual benchmark report that was the original source of data.`, html: true}\",modifiers:{\"hover\":true}}]},[_c('a',{attrs:{\"href\":row.item.Geekbench5URL,\"target\":\"_blank\"}},[_vm._v(_vm._s(row.item.Geekbench5CoreScoreRounded))])]):_vm._e()]}},{key:\"cell(Throughput)\",fn:function(row){return [_c('div',[_vm._v(_vm._s(row.item.Throughput))]),((row.item.BaselineThroughput*1>0))?_c('span',{staticStyle:{\"font-size\":\"12px\"}},[_vm._v(\"Baseline=\"+_vm._s(row.item.BaselineThroughput))]):_vm._e(),(( row.item.Throughput*1 > 16000 && _vm.databaseType!='EC2' && _vm.databaseType!='ec2fsxn' ))?_c('img',{directives:[{name:\"b-popover\",rawName:\"v-b-popover.hover\",value:(`Currently, the maximum achievable IO Throughout for RDS-Oracle is limited at the EBS storage layer to 16000 MB/s for io2 storage, even if the EC2 compute shape is rated for higher amounts.`),expression:\"`Currently, the maximum achievable IO Throughout for RDS-Oracle is limited at the EBS storage layer to 16000 MB/s for io2 storage, even if the EC2 compute shape is rated for higher amounts.`\",modifiers:{\"hover\":true}}],attrs:{\"src\":require(\"@/assets/warning.png\"),\"height\":\"20px\",\"title\":\"Maximum IO Throughput\"}}):_vm._e()]}},{key:\"cell(IOPS)\",fn:function(row){return [_c('div',[_vm._v(_vm._s(row.item.IOPS))]),((row.item.BaselineIOPS*1>0))?_c('span',{staticStyle:{\"font-size\":\"12px\"}},[_vm._v(\"Baseline=\"+_vm._s(row.item.BaselineIOPS))]):_vm._e()]}},{key:\"cell(Network)\",fn:function(row){return [_c('div',[_vm._v(_vm._s(row.item.Network /8))]),((row.item.BaselineNetwork*1>0))?_c('span',{staticStyle:{\"font-size\":\"12px\"}},[_vm._v(\"Baseline= ~\"+_vm._s(row.item.BaselineNetwork/8))]):_vm._e()]}}])}),_c('br'),_vm._l((_vm.disclaimerLists),function(list,index){return _c('span',{key:list,staticStyle:{\"font-size\":\"12px\"}},[_c('span',[_vm._v(_vm._s(list))]),_c('br')])})],2)])],1)],1)],1)])\n}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","// ***********************************\n// Shapes.vue\n// ***********************************\n \n\n\n\n\n\n","import mod from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Shapes.vue?vue&type=script&lang=js\"; export default mod; export * from \"-!../../node_modules/@vue/vue-loader-v15/lib/index.js??vue-loader-options!./Shapes.vue?vue&type=script&lang=js\"","import { render, staticRenderFns } from \"./Shapes.vue?vue&type=template&id=31552ed5\"\nimport script from \"./Shapes.vue?vue&type=script&lang=js\"\nexport * from \"./Shapes.vue?vue&type=script&lang=js\"\n\n\n/* normalize component */\nimport normalizer from \"!../../node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","import Vue from 'vue';\nimport Router from 'vue-router';\nimport Main from '@/components/Main';\nimport Metrics from '@/components/Metrics';\nimport Add from '@/components/Add';\nimport Testing from '@/components/Testing';\nimport Charts from '@/components/Charts';\nimport Pricing from '@/components/Pricing';\nimport Profile from '@/components/Profile';\nimport About from '@/components/About';\nimport Batch from '@/components/Batch';\nimport BatchMain from '@/components/BatchMain';\nimport BatchAdd from '@/components/BatchAdd';\nimport BatchDefine from '@/components/BatchDefine';\nimport BatchDelete from '@/components/BatchDelete';\nimport Shapes from '@/components/Shapes';\n\nVue.use(Router);\n\nexport default new Router({\n mode: 'history',\n routes: [\n {\n path: '/',\n name: 'Main',\n component: Main,\n props: true\n },\n {\n path: '/metrics/:param_collection_id/:collection_type',\n name: 'Metrics',\n component: Metrics,\n props: true\n },\n {\n path: '/metrics/:param_collection_id/:collection_type/:query',\n name: 'Metrics2',\n component: Metrics,\n props: true\n },\n {\n path: '/add',\n name: 'Add',\n component: Add,\n props: true\n },\n {\n path: '/profile',\n name: 'Profile',\n component: Profile,\n props: true\n },\n {\n path: '/batchadd',\n name: 'BatchAdd',\n component: BatchAdd,\n props: true\n },\n {\n path: '/batchdefine',\n name: 'BatchDefine',\n component: BatchDefine,\n props: true\n },\n {\n path: '/batchdelete',\n name: 'BatchDelete',\n component: BatchDelete,\n props: true\n },\n {\n path: '/testing',\n name: 'Testing',\n component: Testing,\n props: true\n },\n {\n path: '/charts/:param_collection_id',\n name: 'Charts',\n component: Charts,\n props: true\n },\n {\n path: '/pricing',\n name: 'Pricing',\n component: Pricing,\n props: true\n },\n {\n path: '/batch/:batch_id',\n name: 'Batch',\n component: Batch,\n props: true\n },\n {\n path: '/batch/:batch_id/:query',\n name: 'Batch2',\n component: Batch,\n props: true\n },\n {\n path: '/batchhome',\n name: 'BatchHome',\n component: BatchMain,\n props: true\n },\n {\n path: '/shapes',\n name: 'Shapes',\n component: Shapes,\n props: true\n },\n {\n path: '/shapes/:query',\n name: 'Shapes2',\n component: Shapes,\n props: true\n },\n {\n path: '/about',\n name: 'About',\n component: About,\n props: true\n },\n\n {\n path: '*',\n redirect:\"/\"\n }\n ]\n})\n","/* eslint-disable */\n// WARNING: DO NOT EDIT. This file is automatically generated by AWS Amplify. It will be overwritten.\n\nconst awsmobile = {\n \"aws_project_region\": \"us-east-1\",\n \"aws_cloud_logic_custom\": [\n {\n \"name\": \"dbcsiAPI\",\n \"endpoint\": \"https://p5mr8th2rl.execute-api.us-east-1.amazonaws.com/prod\",\n \"region\": \"us-east-1\"\n }\n ],\n \"aws_cognito_identity_pool_id\": \"us-east-1:b571b7df-2792-4d43-9342-4efc544fde65\",\n \"aws_cognito_region\": \"us-east-1\",\n \"aws_user_pools_id\": \"us-east-1_UK7SVZPJv\",\n \"aws_user_pools_web_client_id\": \"7098nk74a3vm1un5r0i9lnhjfe\",\n \"oauth\": {},\n \"aws_cognito_username_attributes\": [],\n \"aws_cognito_social_providers\": [],\n \"aws_cognito_signup_attributes\": [\n \"EMAIL\"\n ],\n \"aws_cognito_mfa_configuration\": \"OFF\",\n \"aws_cognito_mfa_types\": [\n \"SMS\"\n ],\n \"aws_cognito_password_protection_settings\": {\n \"passwordPolicyMinLength\": 8,\n \"passwordPolicyCharacters\": []\n },\n \"aws_cognito_verification_mechanisms\": [\n \"EMAIL\"\n ],\n \"aws_user_files_s3_bucket\": \"aws-dbcsi144107-prod\",\n \"aws_user_files_s3_bucket_region\": \"us-east-1\",\n \"aws_cognito_login_mechanisms\": [\n \"PREFERRED_USERNAME\"\n ]\n};\n\n\nexport default awsmobile;\n","import Vue from 'vue';\nimport App from './App.vue';\nimport JsonCSV from 'vue-json-csv';\nimport BootstrapVue from \"bootstrap-vue\";\nimport router from './router';\nimport 'bootstrap/dist/css/bootstrap.min.css';\nimport 'bootstrap-vue/dist/bootstrap-vue.css';\n\n// import '@aws-amplify/ui-vue';\n// import Amplify from 'aws-amplify';\nimport { Amplify } from 'aws-amplify';\nimport aws_exports from './aws-exports';\nimport {\n applyPolyfills,\n defineCustomElements,\n} from '@aws-amplify/ui-components/loader';\n\nAmplify.configure(aws_exports);\n\nVue.use(BootstrapVue);\nVue.component('downloadCsv', JsonCSV);\n\nVue.config.productionTip = false;\n\napplyPolyfills().then(() => {\n defineCustomElements(window);\n});\n\nVue.config.ignoredElements = [/amplify-\\w*/];\n\nnew Vue({\n router: router,\n render: h => h(App),\n}).$mount('#app');\n","// The module cache\nvar __webpack_module_cache__ = {};\n\n// The require function\nfunction __webpack_require__(moduleId) {\n\t// Check if module is in cache\n\tvar cachedModule = __webpack_module_cache__[moduleId];\n\tif (cachedModule !== undefined) {\n\t\treturn cachedModule.exports;\n\t}\n\t// Create a new module (and put it into the cache)\n\tvar module = __webpack_module_cache__[moduleId] = {\n\t\tid: moduleId,\n\t\tloaded: false,\n\t\texports: {}\n\t};\n\n\t// Execute the module function\n\t__webpack_modules__[moduleId].call(module.exports, module, module.exports, __webpack_require__);\n\n\t// Flag the module as loaded\n\tmodule.loaded = true;\n\n\t// Return the exports of the module\n\treturn module.exports;\n}\n\n// expose the modules object (__webpack_modules__)\n__webpack_require__.m = __webpack_modules__;\n\n","var deferred = [];\n__webpack_require__.O = function(result, chunkIds, fn, priority) {\n\tif(chunkIds) {\n\t\tpriority = priority || 0;\n\t\tfor(var i = deferred.length; 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