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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

  • DMV’s for the Beginner
    DMV’s for the Beginner
  • Understanding Columnstore Indexes in SQL Server Part 1
    Understanding Columnstore Indexes in SQL Server Part 1
  • What’s a Key Lookup?
    What’s a Key Lookup?
  • Resizing Tempdb (When TEMPDB Wont Shrink)
    Resizing Tempdb (When TEMPDB Wont Shrink)
  • Memory Optimized Tables in SQL Server
    Memory Optimized Tables in SQL Server
  • Understanding Columnstore Indexes in SQL Server Part 2
    Understanding Columnstore Indexes in SQL Server Part 2
  • Please Don’t Do This! Default Index Fill Factor
    Please Don’t Do This! Default Index Fill Factor
  • Challenge Accepted
    Challenge Accepted
  • Memory Optimizer Advisor
    Memory Optimizer Advisor
  • Hmmm... What’s This? Date Correlation Optimization in SQL Server
    Hmmm... What’s This? Date Correlation Optimization in SQL Server
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