This post is a continuation of the SQL Server 2014 Cardinality Estimator enhancements exploration series:
- A first look at the query_optimizer_estimate_cardinality XE event
- “CSelCalcCombineFilters_ExponentialBackoff” Calculator
- “CSelCalcCombineFilters_ExponentialBackoff” Calculator– Part II
- The CSelCalcAscendingKeyFilter Calculator
- Cardinality Estimation Model Version
- Comparing Root-Level Skews in the new Cardinality Estimator
- Using Legacy Methods to Lessen SQL Server 2014 Cardinality Estimator Skews
- More on Exponential Backoff
In previous posts for this series, I discussed how the assumption of independence with regards to multiple predicates against the same table, in absence of multi-column stats, is blunted a bit with the new Cardinality Estimator for SQL Server 2014. So your estimates may increase for this scenario.
On the flip-side, when it comes to joins between two tables, you may see a reduction in join estimate values for scenarios where there are non-join filter predicates on the tables being joined.
Take the following example, using pre-SQL Server 2014 CE behavior:
USE [master] GO ALTER DATABASE [Credit] SET COMPATIBILITY_LEVEL = 110 GO USE [Credit]; GO SELECT [m].[member_no] , [m].[lastname] , [p].[payment_no] , [p].[payment_dt] , [p].[payment_amt] FROM dbo.[member] AS [m] INNER JOIN dbo.[payment] AS [p] ON [m].[member_no] = p.[member_no] WHERE [m].[region_no] = 2 AND [p].[payment_dt] = '1999-09-02 00:00:00.000' OPTION ( RECOMPILE ); GO
The SQL Sentry Plan Explorer plan tree view is as follows:
We see that the estimates are spot-on for the Clustered Index Scan and Table Scan, but we have an over-estimate for the Hash Match operation (1,767 estimated vs. 1,003 actual).
Now if I set the database compatibility level to 120 and re-execute the query, here is what we see instead:
We still have identical estimate vs. actual values for the Clustered Index Scan and Table Scan, and now our over-estimate for the Hash Match is less pronounced (1,140 rows estimated instead of the 1,767 rows previously estimated).
For the pre-SQL Server 2014 cardinality estimation process, the assumption is that the non-join predicates for the two tables are somehow correlated (in our example, region_no = 2 and payment_dt = ‘1999-09-02 00:00:00.000′). This is called “Simple Containment”. For the new Cardinality Estimator, these non-join predicates are assumed to be independent (called “Base Containment”), and so this can translate into a reduced row estimate for the join.