Juno: check in to lego/hb_04604851-bac4-4681-9f74-73de611d6e48_20220830154019353. (#20501)

This commit is contained in:
Alex Hsu
2022-08-30 12:54:44 -07:00
committed by GitHub
parent 5266041243
commit 79b0b3c6c0
10 changed files with 358 additions and 253 deletions

View File

@@ -1507,15 +1507,6 @@
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<Item ItemId=";extensions/sql-migration/dist/constants/strings.sql.migration.database.private.endpoint.info.text" ItemType="0" PsrId="308" Leaf="true">
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<Val><![CDATA[Ensure that the Azure Storage account does not use a private endpoint.]]></Val>
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<Val><![CDATA[請確認 Azure 儲存體帳戶未使用私人端點。]]></Val>
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<Item ItemId=";extensions/sql-migration/dist/constants/strings.sql.migration.database.status.column" ItemType="0" PsrId="308" Leaf="true">
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<Val><![CDATA[Migration status]]></Val>
@@ -4294,15 +4285,6 @@
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<Item ItemId=";extensions/sql-migration/dist/constants/strings.sql.migration.sku.azureRecommendation.openExisting.popup" ItemType="0" PsrId="308" Leaf="true">
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<Val><![CDATA[Generating Azure recommendations using provided performance data...]]></Val>
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<Val><![CDATA[正在使用提供的效能資料產生 Azure 建議...]]></Val>
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<Item ItemId=";extensions/sql-migration/dist/constants/strings.sql.migration.sku.azureRecommendation.start" ItemType="0" PsrId="308" Leaf="true">
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<Val><![CDATA[Start]]></Val>
@@ -4359,10 +4341,13 @@
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<Item ItemId=";extensions/sql-migration/dist/constants/strings.sql.migration.sku.azureRecommendation.status.notEnabled" ItemType="0" PsrId="308" Leaf="true">
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<Val><![CDATA[Azure recommendation collects and analyzes performance data and then recommends an appropriate sized database in Azure for your workload.]]></Val>
<Val><![CDATA[Azure recommendation collects and analyzes performance data and then recommends an appropriate sized target in Azure for your workload.]]></Val>
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<Val><![CDATA[Azure 建議會收集及分析效能資料,然後為您的工作負載建議 Azure 中適當大小的資料庫。]]></Val>
<Val><![CDATA[Azure 建議會收集及分析效能資料,然後為您的工作負載建議 Azure 中適當大小的目標。]]></Val>
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<Prev Cat="Text">
<Val><![CDATA[Azure recommendation collects and analyzes performance data and then recommends an appropriate sized database in Azure for your workload.]]></Val>
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@@ -4588,6 +4573,24 @@
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<Item ItemId=";extensions/sql-migration/dist/constants/strings.sql.migration.sku.parameters.enable.elastic" ItemType="0" PsrId="308" Leaf="true">
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<Val><![CDATA[Enable elastic recommendation]]></Val>
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<Val><![CDATA[啟用彈性建議]]></Val>
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<Item ItemId=";extensions/sql-migration/dist/constants/strings.sql.migration.sku.parameters.enable.elastic.info" ItemType="0" PsrId="308" Leaf="true">
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<Val><![CDATA[Elastic recommendation uses an alternate recommendation model which utilizes personalized price-performance profiling against existing on-cloud customers.]]></Val>
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<Val><![CDATA[彈性建議使用替代建議模型,其針對現有的雲端客戶使用個人化的價格效能分析。]]></Val>
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<Item ItemId=";extensions/sql-migration/dist/constants/strings.sql.migration.sku.parameters.enable.preview" ItemType="0" PsrId="308" Leaf="true">
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<Val><![CDATA[Enable preview features]]></Val>
@@ -6192,10 +6195,13 @@
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<Item ItemId=";extensions/sql-migration/dist/constants/strings.sql.migration.wizard.sku.error.noRecommendation.reason" ItemType="0" PsrId="308" Leaf="true">
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<Val><![CDATA[No SKU recommendations were generated, as there were no SKUs which could satisfy the performance characteristics of your source. Try selecting a different target platform, adjusting recommendation parameters, or selecting a different set of databases to assess.]]></Val>
<Val><![CDATA[No SKU recommendations were generated, as there were no SKUs which could satisfy the performance characteristics of your source. Try selecting a different target platform, adjusting recommendation parameters, selecting a different set of databases to assess, or changing the recommendation model.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[未產生 SKU 建議,因為沒有可滿足您來源效能特性的 SKU。請嘗試選取不同的目標平台、調整建議參數,或選取不同的資料庫集進行評。]]></Val>
<Val><![CDATA[未產生 SKU 建議,因為沒有可滿足您來源效能特性的 SKU。請嘗試選取不同的目標平台、調整建議參數選取不同的資料庫集進行評估或變更建議模型。]]></Val>
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<Prev Cat="Text">
<Val><![CDATA[No SKU recommendations were generated, as there were no SKUs which could satisfy the performance characteristics of your source. Try selecting a different target platform, adjusting recommendation parameters, or selecting a different set of databases to assess.]]></Val>
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