Optimizing Complex SQL Server Queries By Using Batch Mode

Optimizing Complex SQL Server Queries By Using Batch Mode


 

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4 thoughts on “Optimizing Complex SQL Server Queries By Using Batch Mode

  1. If you were running this query on SQL 2019+, would it have used batch mode by default? Or would you still need to use the empty temp table trick?

    1. That depends on a few things:
      1. If you’re on Enterprise Edition
      2. If you’re using compatibility level 150
      3. If the heuristics dictate that the plan would benefit from exploring batch mode operators

      I often find queries that meet the first two requirements, and should have met the third requirement that still need tricks played on them.

      Thanks!

  2. Did you try to add a GROUP BY user_id and MAX(last_access_date) to the three all unioned sub queries?

    In my experience it saves usually some extra time, when you reduce the amount of rows to process as soon as possible and I see no reason, why the concating / hash aggregate needs to process 94 mio rows instead of a few thousand (distinct users))

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