Query Store for SQL Server 2019: Identify and Fix Poorly Performing Queries
暫譯: SQL Server 2019 的查詢存儲:識別與修復效能不佳的查詢
Boggiano, Tracy, Fritchey, Grant
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相關主題
商品描述
Apply the new Query Store feature to identify and fix poorly performing queries in SQL Server.
Query Store is an important and recent feature in SQL Server that provides insight into the details of query execution and how that execution has changed over time. Query Store helps to identify queries that aren't performing well, or that have regressed in their performance. Query Store provides detailed information such as wait stats that you need to resolve root causes, and it allows you to force the use of a known good execution plan. With SQL Server 2017 and later you can automate the correction of regressions in performance.
Query Store for SQL Server 2019 helps you protect your database's performance during upgrades of applications or version of SQL Server. The book provides fundamental information on how Query Store works and best practices for implementation and use. You will learn to run and interpret built-in reports, configure automatic plan correction, and troubleshoot queries using Query Store when needed. Query Store for SQL Server 2019 helps you master Query Store and bring value to your organization through consistent query execution times and automate correction of regressions. What You'll Learn
Who This Book Is For SQL Server developers and administrators responsible for query performance on SQL Server. Anyone responsible for identifying poorly performing queries will be able to use Query Store to find these queries and resolve the underlying issues.
Query Store is an important and recent feature in SQL Server that provides insight into the details of query execution and how that execution has changed over time. Query Store helps to identify queries that aren't performing well, or that have regressed in their performance. Query Store provides detailed information such as wait stats that you need to resolve root causes, and it allows you to force the use of a known good execution plan. With SQL Server 2017 and later you can automate the correction of regressions in performance.
Query Store for SQL Server 2019 helps you protect your database's performance during upgrades of applications or version of SQL Server. The book provides fundamental information on how Query Store works and best practices for implementation and use. You will learn to run and interpret built-in reports, configure automatic plan correction, and troubleshoot queries using Query Store when needed. Query Store for SQL Server 2019 helps you master Query Store and bring value to your organization through consistent query execution times and automate correction of regressions. What You'll Learn
- Apply best practices in implementing Query Store on production servers
- Detect and correct regressions in query performance
- Lower the risk of performance degradation following an upgrade
- Use tools and techniques to get the most from Query Store
- Automate regression correction and other uses of Query Store
Who This Book Is For SQL Server developers and administrators responsible for query performance on SQL Server. Anyone responsible for identifying poorly performing queries will be able to use Query Store to find these queries and resolve the underlying issues.
商品描述(中文翻譯)
應用新的查詢儲存(Query Store)功能來識別和修復 SQL Server 中表現不佳的查詢。查詢儲存是 SQL Server 中一個重要且近期的功能,提供有關查詢執行的詳細資訊,以及這些執行隨時間變化的情況。查詢儲存有助於識別表現不佳或性能退化的查詢。查詢儲存提供詳細資訊,例如解決根本原因所需的等待統計數據,並允許您強制使用已知良好的執行計劃。使用 SQL Server 2017 及更高版本,您可以自動修正性能退化的問題。
《SQL Server 2019 的查詢儲存》幫助您在升級應用程式或 SQL Server 版本時保護資料庫的性能。本書提供有關查詢儲存如何運作的基本資訊,以及實施和使用的最佳實踐。您將學會運行和解釋內建報告,配置自動計劃修正,並在需要時使用查詢儲存進行查詢故障排除。《SQL Server 2019 的查詢儲存》幫助您掌握查詢儲存,並通過一致的查詢執行時間和自動修正退化來為您的組織帶來價值。
您將學到什麼
- 在生產伺服器上實施查詢儲存的最佳實踐
- 檢測和修正查詢性能的退化
- 降低升級後性能下降的風險
- 使用工具和技術充分利用查詢儲存
- 自動修正退化及查詢儲存的其他用途
本書適合誰
作者簡介
Tracy Boggiano is a speaker and SQL Server data professional residing in Cary, NC. Her experience with SQL Server goes back to SQL Server 6.5. Her passion outside of computers is volunteering with foster kids as their advocate in court through the North Carolina Guardian ad Litem program.
Grant Fritchey, Microsoft Data Platform MVP, has more than 20 years of experience in IT. That time was spent in technical support, development, and database administration. He currently works as Product Evangelist at Red Gate Software.
Grant Fritchey, Microsoft Data Platform MVP, has more than 20 years of experience in IT. That time was spent in technical support, development, and database administration. He currently works as Product Evangelist at Red Gate Software.
作者簡介(中文翻譯)
Tracy Boggiano 是一位演講者和 SQL Server 數據專業人士,居住在北卡羅來納州的凱瑞。她與 SQL Server 的經歷可以追溯到 SQL Server 6.5。她在電腦之外的熱情是通過北卡羅來納州的 Guardian ad Litem 計劃,作為寄養兒童的倡導者在法庭上志願服務。
Grant Fritchey,微軟數據平台 MVP,擁有超過 20 年的 IT 經驗。這段時間主要從事技術支持、開發和數據庫管理。他目前在 Red Gate Software 擔任產品宣傳專家。