The Power Of Predicate Pushdown

Pedro Lopes explains how predicate pushdown helps improve performance on queries:

First, let’s define a few terms, so we can see how to detect whether we’re making good use of our indexes, as they relate to the queries running in our SQL Server.

  1. Whenever you submit a query to SQL Server, if it includes a JOIN and/or WHERE clause, that constitutes a row filtering pattern known as a predicate.
  2. The query optimizer can use that to estimate how to best retrieve only the intended rows, after that predicate has been applied, this surfaces in the query plan as the Estimated Number of Rows.
  3. When that estimated plan is executed, and you look at the actual execution plan, this surfaces as the Actual Number of Rows. Usually, a big difference between Estimated and Actual number of rows indicates a misestimation that may need to be addressed to improve performance: maybe you don’t have the right indexes in place?

These are the two properties related to rows you had on every SQL Server plan up to SQL Server 2014.

Read on to learn how predicate pushdown can make queries faster.

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