SQL Server 2022 Query Performance Tuning, Fritchey
Автор: Tracy Boggiano; Grant Fritchey Название: Query Store for SQL Server 2019 ISBN: 1484250036 ISBN-13(EAN): 9781484250037 Издательство: Springer Рейтинг: Цена: 3414.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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
Apply best practices in implementing Query Store on production serversDetect and correct regressions in query performanceLower the risk of performance degradation following an upgradeUse tools and techniques to get the most from Query StoreAutomate 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.
Автор: Aspin, Adam Название: Data mashup with microsoft excel using power query and m ISBN: 1484260171 ISBN-13(EAN): 9781484260173 Издательство: Springer Рейтинг: Цена: 9146.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Take a deep dive into perhaps the single most important facet of query performance—indexes—and how to best use them. Newly updated for SQL Server 2022 and Azure SQL, this fourth edition includes new guidance and features related to columnstore indexes, improved and consolidated content on Query Store, deeper content around Intelligent Query Processing, and other updates to help you optimize query execution and make performance improvements to even the most challenging workloads. The book begins with explanations of the types of indexes and how they are stored in a database. Moving further into the book, you will learn how statistics are critical for optimal index usage and how the Index Advisor can assist in reviewing and optimizing index health. This book helps you build a clear understanding of how indexes work, how to implement and use them, and the many options available to tame even the most large and complex workloads. What You Will Learn * Properly index row store, columnstore, and memory-optimized tables * Make use of Intelligent Query Processing for faster query results * Review statistics to understand indexing choices made by the optimizer * Apply indexing strategies such as covering indexes, included columns, and index intersections * Recognize and remove unnecessary indexes * Design effective indexes for full-text, spatial, and XML data types Who This Book Is For Azure SQL and SQL Server administrators and developers who are ready to improve the performance of their database environment by thoughtfully building indexes to speed up queries that matter the most and make a difference to the business
