You're reading from SQL Server Query Tuning and Optimization

Product typeBook

Published inAug 2022

PublisherPackt

ISBN-139781803242620

Edition1st Edition

Concepts

Databases

Author (1)

Benjamin Nevarez

Degree of parallelism feedback

Based on the same concept as the memory feedback and cardinality estimation feedback features, and also relying on the query store, the degree of parallelism feedback works by identifying parallelism performance problems for repeating queries. The degree of parallelism feedback bases its decisions on the CPU time, the elapsed time, and the parallelism parallel-related waits.

Based on the feedback of recent query executions, the degree of parallelism feedback can automatically change the degree of parallelism and, again, monitor the performance of the query to see whether the change helps. The minimum value for a new query degree of parallelism that the feedback can recommend is 2, meaning the query cannot go to a serial plan. The maximum degree of parallelism is the max degree of parallelism server setting. As suggested, the feedback is persisted as it uses the query store.

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SQL Server Query Tuning and Optimization

Published in: Aug 2022Publisher: PacktISBN-13: 9781803242620

Author (1)

Benjamin Nevarez

Benjamin Nevarez is a database professional based in Los Angeles, California who specializes in SQL Server query tuning and optimization. He is the author of several books including “High Performance SQL Server'', “SQL Server 2017 on Linux”, “SQL Server 2014 Query Tuning & Optimization” and “Inside the SQL Server Query Optimizer” and has also co-authored other books such as “SQL Server 2012 Internals”. Benjamin has also been a speaker at many SQL Server conferences around the world
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