Data Monitoring / SQL Server Query Performance
SQL Server: Weighted execution averages
A summary exaggerates a regression by averaging interval averages equally. Compare execution counts and total work for intervals with different traffic volumes.
Environment and inputs: SQL Server 2019–2025 where the referenced feature is supported; Query Store and diagnostic collection require appropriate configuration and permissions. Azure SQL behavior can differ.
Failure scenario
A summary exaggerates a regression by averaging interval averages equally. Confirm the cause before choosing a fix.
Evidence to collect
Compare execution counts and total work for intervals with different traffic volumes. Record the time, affected scope and a healthy comparison interval.
Fix the confirmed cause
Weight interval averages by execution count and retain separate volume trends. Write the expected result first. Change one relevant setting at a time.
Check the result and hand over
Repeat the check for weighted execution averages using the same scope and a representative interval. Check that the symptom is resolved, expected records are present and downstream results are correct. If coverage, correctness or latency worsens, restore the recorded configuration through the agreed rollback process.
Scope and precautions
Prefer read-only access and limit queries to the relevant period or dataset. This example has not been tested on your systems. Test changes in an approved environment. Keep credentials and sensitive data out of shared evidence.