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erikdarlingdataclaude
erikdarlingdata
and
claude
authored
sp_QuickieStore: add workload concentration summary to @find_high_impact (#693)
New result set fires before the query details showing what percentage of total resources the surfaced queries account for. Classifies workloads as Concentrated (>= 50%), Moderate (25-49%), or Flat (< 25%) with actionable recommendations for each profile. Helps users identify "death by a thousand cuts" workloads where no single query dominates. Tested on sql2016, sql2017, sql2022, sql2025. Also adds documentation to the @help output explaining the new columns. Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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‎sp_QuickieStore/sp_QuickieStore.sql‎

Lines changed: 190 additions & 1 deletion
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@@ -426,7 +426,22 @@ BEGIN
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SELECT REPLICATE('-', 100) UNION ALL
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SELECT 'volatile_metrics: flags metrics with extreme variance: (max - min) / avg > 10x.' UNION ALL
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SELECT ' Only flagged when the absolute max exceeds meaningful thresholds (1s duration, 100ms CPU, 1MB physical reads/writes/memory).' UNION ALL
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SELECT ' High volatility means the query''s performance is unpredictable, even if the average looks acceptable.';
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SELECT ' High volatility means the query''s performance is unpredictable, even if the average looks acceptable.' UNION ALL
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SELECT REPLICATE('-', 100) UNION ALL
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SELECT 'WORKLOAD CONCENTRATION SUMMARY (separate result set, returned before the query details):' UNION ALL
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SELECT 'total_query_hashes: how many distinct query_hashes had executions in the time window' UNION ALL
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SELECT 'surfaced_query_hashes: how many made it into the detail result set after top-N and scoring filters' UNION ALL
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SELECT 'top_n_cpu_pct, top_n_duration_pct, top_n_reads_pct, top_n_writes_pct, top_n_memory_pct, top_n_executions_pct:' UNION ALL
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SELECT ' what percentage of the server''s total for each metric the surfaced queries account for.' UNION ALL
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SELECT ' If top_n_cpu_pct = 88.2, the surfaced queries are 88.2% of all CPU in the time window.' UNION ALL
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SELECT 'workload_profile: Concentrated (>= 50%), Moderate (25-49%), or Flat (< 25%).' UNION ALL
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SELECT ' Based on the highest concentration across all six metrics.' UNION ALL
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SELECT ' Concentrated: a few queries dominate. Tuning them individually will have the most impact.' UNION ALL
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SELECT ' Moderate: some outliers, but a long tail of smaller queries also matters.' UNION ALL
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SELECT ' Flat: no dominant queries. Individual query tuning has limited value.' UNION ALL
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SELECT 'recommendation: actionable guidance based on the workload profile.' UNION ALL
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SELECT ' For flat workloads: consider forced parameterization, look for missing schema prefixes,' UNION ALL
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SELECT ' temp table patterns causing recompilation, or RECOMPILE hints generating unique plans.';
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/*
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Limitations
@@ -4952,6 +4967,180 @@ OPTION(RECOMPILE);' + @nc10;
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)
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FROM #hi_interesting AS i;
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/*Step 5c: Workload concentration summary*/
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DECLARE
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@hi_max_pct decimal(5, 1);
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SELECT
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@hi_max_pct =
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MAX(v.pct)
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FROM
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(
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SELECT
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pct = SUM(CONVERT(decimal(5, 1), s.cpu_share))
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FROM #hi_scored AS s
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JOIN #hi_interesting AS i
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ON s.query_hash = i.query_hash
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UNION ALL
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SELECT
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pct = SUM(CONVERT(decimal(5, 1), s.duration_share))
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FROM #hi_scored AS s
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JOIN #hi_interesting AS i
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ON s.query_hash = i.query_hash
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UNION ALL
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SELECT
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pct = SUM(CONVERT(decimal(5, 1), s.reads_share))
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FROM #hi_scored AS s
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JOIN #hi_interesting AS i
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ON s.query_hash = i.query_hash
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UNION ALL
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SELECT
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pct = SUM(CONVERT(decimal(5, 1), s.writes_share))
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FROM #hi_scored AS s
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JOIN #hi_interesting AS i
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ON s.query_hash = i.query_hash
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UNION ALL
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SELECT
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pct = SUM(CONVERT(decimal(5, 1), s.memory_share))
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FROM #hi_scored AS s
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JOIN #hi_interesting AS i
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ON s.query_hash = i.query_hash
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UNION ALL
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SELECT
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pct = SUM(CONVERT(float, s.executions_share))
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FROM #hi_scored AS s
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JOIN #hi_interesting AS i
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ON s.query_hash = i.query_hash
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) AS v (pct);
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SELECT
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total_query_hashes =
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(SELECT COUNT_BIG(*) FROM #hi_query_stats),
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surfaced_query_hashes =
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(SELECT COUNT_BIG(*) FROM #hi_interesting),
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top_n_cpu_pct =
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CONVERT
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(
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decimal(5, 1),
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ISNULL
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(
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(
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SELECT
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SUM(CONVERT(decimal(5, 1), s.cpu_share))
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FROM #hi_scored AS s
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JOIN #hi_interesting AS i
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ON s.query_hash = i.query_hash
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),
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0
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)
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),
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top_n_duration_pct =
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CONVERT
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(
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decimal(5, 1),
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ISNULL
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(
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(
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SELECT
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SUM(CONVERT(decimal(5, 1), s.duration_share))
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FROM #hi_scored AS s
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JOIN #hi_interesting AS i
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ON s.query_hash = i.query_hash
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),
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0
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)
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),
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top_n_reads_pct =
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CONVERT
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(
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decimal(5, 1),
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ISNULL
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(
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(
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SELECT
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SUM(CONVERT(decimal(5, 1), s.reads_share))
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FROM #hi_scored AS s
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JOIN #hi_interesting AS i
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ON s.query_hash = i.query_hash
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),
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0
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)
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),
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top_n_writes_pct =
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CONVERT
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(
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decimal(5, 1),
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ISNULL
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(
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(
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SELECT
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SUM(CONVERT(decimal(5, 1), s.writes_share))
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FROM #hi_scored AS s
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JOIN #hi_interesting AS i
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ON s.query_hash = i.query_hash
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),
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0
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)
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),
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top_n_memory_pct =
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CONVERT
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(
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decimal(5, 1),
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ISNULL
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(
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(
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SELECT
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SUM(CONVERT(decimal(5, 1), s.memory_share))
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FROM #hi_scored AS s
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JOIN #hi_interesting AS i
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ON s.query_hash = i.query_hash
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),
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0
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)
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),
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top_n_executions_pct =
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CONVERT
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(
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decimal(5, 1),
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ISNULL
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(
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(
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SELECT
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SUM(CONVERT(float, s.executions_share))
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FROM #hi_scored AS s
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JOIN #hi_interesting AS i
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ON s.query_hash = i.query_hash
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),
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0
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)
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),
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workload_profile =
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CASE
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WHEN @hi_max_pct >= 50
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THEN N'Concentrated'
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WHEN @hi_max_pct >= 25
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THEN N'Moderate'
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ELSE N'Flat'
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END,
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recommendation =
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CASE
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WHEN @hi_max_pct >= 50
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THEN N'Tune the surfaced queries for the most impact.'
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WHEN @hi_max_pct >= 25
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THEN N'Some outliers, but a significant long tail. Tune surfaced queries, then investigate hash sprawl from missing schema prefixes, RECOMPILE hints, or temp table patterns.'
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ELSE N'No dominant queries. Look for forced parameterization opportunities, missing schema prefixes (dbo.Proc vs Proc), temp table patterns causing recompilation, or RECOMPILE hints generating unique plans.'
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END;
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/*Step 6: Final output (dynamic SQL for OUTER APPLY to query plan)*/
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SELECT
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@current_table = 'selecting high impact results',

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