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SQL Blogs by Monica Morehouse (Rathbun)

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  • Performance Tuning

    5 Ways to Examine Cardinality Metrics

    May 2, 2018 /

    In SQL Server the query optimizer uses a cardinality estimator to answer data SELECTIVITY questions like the ones below. The optimizer uses this cardinality data, which relies heavy on statistics to get the answers and calculate a cost estimate. It takes the #of Rows to Satisfy a Predicate/Total # of Input Rows. How many rows will satisfy a single filter predicate? Multiple? WHERE How many rows will satisfy a join predicate between two tables? JOIN How many distinct values do we expect from a specific column? DISTINCT GROUP BY From this estimate the optimizer is able to find an efficient execution plan that fulfills a query request. You will note that…

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    Monica Morehouse (Rathbun)

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About Me

Monica Morehouse (Rathbun)

Microsoft MVP, Performancing Tuning Expert, Leader Hampton Roads SQL Server User Group, Read More…

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Top Posts & Pages

  • SQL Index Creation Using DROP EXISTING= ON
    SQL Index Creation Using DROP EXISTING= ON
  • DMV’s for the Beginner
    DMV’s for the Beginner
  • Synchronous VS Asynchronous Statistics Updates
    Synchronous VS Asynchronous Statistics Updates
  • Resizing Tempdb (When TEMPDB Wont Shrink)
    Resizing Tempdb (When TEMPDB Wont Shrink)
  • Scooby Dooing Episode 9: The Case of the Artificially Intelligent Villain
    Scooby Dooing Episode 9: The Case of the Artificially Intelligent Villain
  • Hide and Group Columns in SSRS Using a Parameter
    Hide and Group Columns in SSRS Using a Parameter
  • What’s a Key Lookup?
    What’s a Key Lookup?
  • Add DBCC INPUTBUFFER to Your Performance Tuning Toolbox
    Add DBCC INPUTBUFFER to Your Performance Tuning Toolbox
  • The Shield
    The Shield
  • SQL Sequence vs Identity Column
    SQL Sequence vs Identity Column
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