Book Image

Professional Azure SQL Database Administration - Second Edition

By : Ahmad Osama
Book Image

Professional Azure SQL Database Administration - Second Edition

By: Ahmad Osama

Overview of this book

Despite being the cloud version of SQL Server, Azure SQL Database differs in key ways when it comes to management, maintenance, and administration. This book shows you how to administer Azure SQL Database to fully benefit from its wide range of features and functionalities. Professional Azure SQL Database Administration begins by covering the architecture and explaining the difference between Azure SQL Database and the on-premise SQL Server to help you get comfortable with Azure SQL Database. You’ll perform common tasks such as migrating, backing up and restoring a SQL Server database to an Azure database. As you progress, you’ll understand how you can reduce costs, and manage and scale multiple SQL databases using elastic pools. You’ll also implement a disaster recovery solution using standard and active geo-replication. Whether it is learning different techniques to monitor and tune an Azure SQL Database or improving performance using in-memory technology, this book will enable you to make the most out of Azure SQL database features and functionality for data management solutions. By the end of this book, you’ll be well-versed with key aspects of an Azure SQL Database instance, such as migration, backup restorations, performance optimization, high availability, and disaster recovery.
Table of Contents (11 chapters)

Tuning an Azure SQL Database

In this section, we'll look at the out-of-the-box performance tuning features provided by automatic tuning in an Azure SQL database.

Automatic Tuning

Azure SQL Database automatic tuning utilizes artificial intelligence to continuously monitor and improve queries executed on an Azure SQL database.

Automatic tuning observes the workload and applies recommendations to speed up performance. The recommendations are applied when the database activity is low, so that there aren't any performance impacts when applying recommendations.

The following options are available for automatic tuning:

  • Create Index: Automatically identifies and implements missing indexes to improve workload performance. It also verifies whether the indexes created have improved the performance.
  • Drop Indexes: Automatically identifies and removes duplicate, redundant, and unused indexes.
  • Force Last Good Plan: Using the execution plan, it automatically identifies the queries, that...