Automatic Tuning - SQL Server 2022

Automatic tuning is a new feature introduced in SQL Server 2017 and enhanced in SQL Server 2022 that uses machine learning algorithms to automatically optimize database performance. It provides insights into query performance, indexes, and statistics, and suggests corrective actions to improve database performance. Here are some of the ways Automatic Tuning can help optimize database performance in SQL Server 2022, along with examples:

Automatic Plan Correction: Automatic Plan Correction uses machine learning algorithms to identify and correct performance problems caused by query plan regressions. It monitors query performance over time and uses machine learning to identify changes in the execution plan. If a plan regression is detected, Automatic Plan Correction can automatically roll back to a previous, known-good plan, or force the use of a better plan.

For example, consider the following query:

SELECT COUNT(*) FROM Sales.Orders WHERE OrderDate BETWEEN '2021-01-01' AND '2021-12-31'

If a query plan regression occurs, SQL Server 2022 can automatically roll back to a previous, known-good plan, or force the use of a better plan, such as using an index on the OrderDate column.

Automatic Index Management: Automatic Index Management uses machine learning algorithms to identify and create missing indexes, remove unused indexes, and modify existing indexes to improve query performance. It analyzes query performance and index usage patterns to determine which indexes are needed and which can be safely removed.

For example, consider the following query:

SELECT * FROM Sales.Orders WHERE CustomerID = 123

If no index exists on the CustomerID column, Automatic Index Management can create an index to improve query performance. If an index exists, but is not being used, Automatic Index Management can suggest removing it.

Automatic Statistics Update: Automatic Statistics Update uses machine learning algorithms to identify and update statistics for database objects to improve query performance. It monitors data distribution and query patterns to determine when statistics need to be updated and how to update them.

For example, consider the following query:

SELECT COUNT(*) FROM Sales.Orders WHERE OrderDate BETWEEN '2021-01-01' AND '2021-12-31'

If statistics for the OrderDate column are outdated or missing, Automatic Statistics Update can automatically update them to improve query performance.

Overall, Automatic Tuning in SQL Server 2022 is designed to simplify and automate the process of database optimization. It can help improve query performance, reduce query execution time, and minimize downtime due to performance issues. By automating these tasks, Automatic Tuning allows database administrators to focus on higher-level tasks, such as database design, schema optimization, and application development.



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