sp_QuickieStore: optimize time bucketing in @find_high_impact#708
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erikdarlingdata merged 2 commits intomainfrom Mar 23, 2026
Merged
sp_QuickieStore: optimize time bucketing in @find_high_impact#708erikdarlingdata merged 2 commits intomainfrom
erikdarlingdata merged 2 commits intomainfrom
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The time bucketing query joined the full 4-table DMV chain (query → plan → runtime_stats → interval) filtered by #hi_interesting. The optimizer struggled with cardinality estimates on the hash join. Moved query_id staging (previously Step 5b) to Step 3b so it runs before time bucketing. Step 4 now starts from #hi_id_staging_queries (known-small temp table) instead of query_store_query, dropping to 3 DMVs with better cardinality estimates. No join hints needed. Tested on SQL2022 (StackOverflow2013, hammerdb_tpch, hammerdb_tpcc) and SQL2016 (StackOverflow2010). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…ptimization sp_QuickieStore: optimize time bucketing in @find_high_impact
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Summary
Time bucketing now starts from staged query_ids (3 DMVs) instead of re-joining the full 4-table chain. Better cardinality estimates, no join hints.
Tested on SQL2022 (SO2013, TPC-H, TPC-C) and SQL2016.
🤖 Generated with Claude Code