Reader small image

You're reading from  SQL Server Query Tuning and Optimization

Product typeBook
Published inAug 2022
PublisherPackt
ISBN-139781803242620
Edition1st Edition
Concepts
Right arrow
Author (1)
Benjamin Nevarez
Benjamin Nevarez
author image
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
Read more about Benjamin Nevarez

Right arrow

Aggregations

Just like join algorithms, aggregation algorithms can also be forced by using the GROUP hints. Specifically, the ORDER GROUP hint requests that the query optimizer use a Stream Aggregate algorithm, while the HASH GROUP hint requests a Hash Aggregate algorithm. These hints can only be specified at the query level, so they will impact all the aggregation operations in the query. To see the effects of this, take a look at the following unhinted query, which uses a Stream Aggregate operator:

SELECT SalesOrderID, COUNT(*)
FROM Sales.SalesOrderDetail
GROUP BY SalesOrderID

This produces the following plan:

Figure 12.8 – A query using Stream Aggregate

Figure 12.8 – A query using Stream Aggregate

Because the SalesOrderDetail table has a clustered index on the SalesOrderID column, and therefore the data is already sorted on the GROUP BY column, using a Stream Aggregate operator is the obvious choice. However, if we add a HASH GROUP hint to the previous query, as shown here,...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
SQL Server Query Tuning and Optimization
Published in: Aug 2022Publisher: PacktISBN-13: 9781803242620

Author (1)

author image
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
Read more about Benjamin Nevarez