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SQL Server 2017 Developer???s Guide

SQL Server 2017 Developer???s Guide

3.6 (5)
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SQL Server 2017 Developer???s Guide

SQL Server 2017 Developer???s Guide

3.6 (5)

Overview of this book

Microsoft SQL Server 2017 is a milestone in Microsoft's data platform timeline, as it brings in the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. This book prepares you for advanced topics by starting with a quick introduction to SQL Server 2017's new features. Then, it introduces you to enhancements in the Transact-SQL language and new database engine capabilities before switching to a different technology: JSON support. You will take a look at the security enhancements and temporal tables. Furthermore, the book focuses on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. Toward the end of the book, you'll be introduced to R and how to use the R language with Transact-SQL for data exploration and analysis. You'll also learn to integrate Python code into SQL Server and graph database implementations as well as the deployment options on Linux and SQL Server in containers for development and testing. By the end of this book, you will be armed to design efficient, high-performance database applications without any hassle.
Table of Contents (19 chapters)
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1
Introduction to SQL Server 2017

Automatic tuning in SQL Server 2017


As mentioned, Query Store was introduced in SQL Server 2016 and it is a great tool for identifying regressed queries, especially after the version upgrade. You can use different reports to search for regressed queries or query the appropriate catalog views. However, in production databases, you could have thousands of queries, and if regressed queries are top-consuming queries, you will need time and patience to identify significantly regressed but less frequently executed queries. It would be nice if Query Store did this and created notifications for you, so that you can easily and quickly see all regressed queries in a database. This feature was not available in SQL Server 2016, but SQL Server 2017 brings it in as part of the new Automatic Tuning feature.

Note

In the SQL Server 2016 production environment, I have created notifications on top of Query Store catalog views, in order to quickly identify queries that recently got new execution plan(s) with...

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