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Home 2016 December SQL Server 2016: Introduced Query Store, to monitor the performance differences between query execution plans

SQL Server 2016: Introduced Query Store, to monitor the performance differences between query execution plans

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SQL Server 2016 introduced a Query Store concept which helps us to monitor the performance differences between the query execution plans.

It helps you to track the query plan, run time statistics and history of query plan.

You can easily find your new query with the different execution plans and you can identify un-efficient plan and force for the better execution plan.

Once you enable the Query Store, It starts to capture a history of queries, plans and other run time statistics.

You can audit the query plans and can find information like: top n queries, CPU/IO/Memory utilization of queries and query executed in a number of times.

Enable the Query Store:

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ALTER DATABASE Database_Name SET QUERY_STORE = ON;

You can use below query to find an information on Query Store:

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SELECT Txt.query_text_id, Txt.query_sql_text, Pl.plan_id, Qry.*
FROM sys.query_store_plan AS Pl
JOIN sys.query_store_query AS Qry
ON Pl.query_id = Qry.query_id
JOIN sys.query_store_query_text AS Txt
ON Qry.query_text_id = Txt.query_text_id;

Dec 11, 2016Anvesh Patel

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Anvesh Patel

Database Engineer

December 11, 2016 SQL ServerAnvesh Patel, audit execution plan, database, database research and development, dbrnd, Query executed time, Query Plan, Query State, Query Store, query_store_plan, query_store_query, SQL Query, SQL Server, SQL Server 2016, SQL Server Administrator, SQL Server Monitoring, SQL Server Performance Tunning, SQL Server Tips and Tricks, TSQL
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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