As mentioned in the previous article, SQL Server 2019 cardinality estimations for a table variable are based on actual table variable row counts. Therefore, in SQL Server 2019, we should expect better estimations and better plans for queries that use table variables.
Which queries will benefit from this improvement? Generally, queries that use table variables with a lot of rows in them, which are not tuned yet. For table variables with a few rows, there will not be significant changes and you should expect the same execution plan and almost same execution parameters.
Queries whose execution was slow due to underestimation in table variables usually implement logical joins by using Nested Loop Join physical operator where a Hash or Merge Join operators would be more appropriate. In addition to this, underestimation of table variables participating in multiple joins could lead to issues with insufficient memory grants, and thus data spilling to tempdb .
Click through for the example. The next post in the series will be a case where it doesn’t work very well.