Skip to content

sp_QuickieStore: workload concentration summary for @find_high_impact #693

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
erikdarlingdata merged 1 commit into from
Mar 10, 2026
Merged

sp_QuickieStore: workload concentration summary for @find_high_impact #693

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
191 changes: 190 additions & 1 deletion sp_QuickieStore/sp_QuickieStore.sql
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -426,7 +426,22 @@ BEGIN
SELECT REPLICATE('-', 100) UNION ALL
SELECT 'volatile_metrics: flags metrics with extreme variance: (max - min) / avg > 10x.' UNION ALL
SELECT ' Only flagged when the absolute max exceeds meaningful thresholds (1s duration, 100ms CPU, 1MB physical reads/writes/memory).' UNION ALL
SELECT ' High volatility means the query''s performance is unpredictable, even if the average looks acceptable.';
SELECT ' High volatility means the query''s performance is unpredictable, even if the average looks acceptable.' UNION ALL
SELECT REPLICATE('-', 100) UNION ALL
SELECT 'WORKLOAD CONCENTRATION SUMMARY (separate result set, returned before the query details):' UNION ALL
SELECT 'total_query_hashes: how many distinct query_hashes had executions in the time window' UNION ALL
SELECT 'surfaced_query_hashes: how many made it into the detail result set after top-N and scoring filters' UNION ALL
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
SELECT ' what percentage of the server''s total for each metric the surfaced queries account for.' UNION ALL
SELECT ' If top_n_cpu_pct = 88.2, the surfaced queries are 88.2% of all CPU in the time window.' UNION ALL
SELECT 'workload_profile: Concentrated (>= 50%), Moderate (25-49%), or Flat (< 25%).' UNION ALL
SELECT ' Based on the highest concentration across all six metrics.' UNION ALL
SELECT ' Concentrated: a few queries dominate. Tuning them individually will have the most impact.' UNION ALL
SELECT ' Moderate: some outliers, but a long tail of smaller queries also matters.' UNION ALL
SELECT ' Flat: no dominant queries. Individual query tuning has limited value.' UNION ALL
SELECT 'recommendation: actionable guidance based on the workload profile.' UNION ALL
SELECT ' For flat workloads: consider forced parameterization, look for missing schema prefixes,' UNION ALL
SELECT ' temp table patterns causing recompilation, or RECOMPILE hints generating unique plans.';

/*
Limitations
Expand Down Expand Up @@ -4952,6 +4967,180 @@ OPTION(RECOMPILE);' + @nc10;
)
FROM #hi_interesting AS i;

/*Step 5c: Workload concentration summary*/
DECLARE
@hi_max_pct decimal(5, 1);

SELECT
@hi_max_pct =
MAX(v.pct)
FROM
(
SELECT
pct = SUM(CONVERT(decimal(5, 1), s.cpu_share))
FROM #hi_scored AS s
JOIN #hi_interesting AS i
ON s.query_hash = i.query_hash

UNION ALL

SELECT
pct = SUM(CONVERT(decimal(5, 1), s.duration_share))
FROM #hi_scored AS s
JOIN #hi_interesting AS i
ON s.query_hash = i.query_hash

UNION ALL

SELECT
pct = SUM(CONVERT(decimal(5, 1), s.reads_share))
FROM #hi_scored AS s
JOIN #hi_interesting AS i
ON s.query_hash = i.query_hash

UNION ALL

SELECT
pct = SUM(CONVERT(decimal(5, 1), s.writes_share))
FROM #hi_scored AS s
JOIN #hi_interesting AS i
ON s.query_hash = i.query_hash

UNION ALL

SELECT
pct = SUM(CONVERT(decimal(5, 1), s.memory_share))
FROM #hi_scored AS s
JOIN #hi_interesting AS i
ON s.query_hash = i.query_hash

UNION ALL

SELECT
pct = SUM(CONVERT(float, s.executions_share))
FROM #hi_scored AS s
JOIN #hi_interesting AS i
ON s.query_hash = i.query_hash
) AS v (pct);

SELECT
total_query_hashes =
(SELECT COUNT_BIG(*) FROM #hi_query_stats),
surfaced_query_hashes =
(SELECT COUNT_BIG(*) FROM #hi_interesting),
top_n_cpu_pct =
CONVERT
(
decimal(5, 1),
ISNULL
(
(
SELECT
SUM(CONVERT(decimal(5, 1), s.cpu_share))
FROM #hi_scored AS s
JOIN #hi_interesting AS i
ON s.query_hash = i.query_hash
),
0
)
),
top_n_duration_pct =
CONVERT
(
decimal(5, 1),
ISNULL
(
(
SELECT
SUM(CONVERT(decimal(5, 1), s.duration_share))
FROM #hi_scored AS s
JOIN #hi_interesting AS i
ON s.query_hash = i.query_hash
),
0
)
),
top_n_reads_pct =
CONVERT
(
decimal(5, 1),
ISNULL
(
(
SELECT
SUM(CONVERT(decimal(5, 1), s.reads_share))
FROM #hi_scored AS s
JOIN #hi_interesting AS i
ON s.query_hash = i.query_hash
),
0
)
),
top_n_writes_pct =
CONVERT
(
decimal(5, 1),
ISNULL
(
(
SELECT
SUM(CONVERT(decimal(5, 1), s.writes_share))
FROM #hi_scored AS s
JOIN #hi_interesting AS i
ON s.query_hash = i.query_hash
),
0
)
),
top_n_memory_pct =
CONVERT
(
decimal(5, 1),
ISNULL
(
(
SELECT
SUM(CONVERT(decimal(5, 1), s.memory_share))
FROM #hi_scored AS s
JOIN #hi_interesting AS i
ON s.query_hash = i.query_hash
),
0
)
),
top_n_executions_pct =
CONVERT
(
decimal(5, 1),
ISNULL
(
(
SELECT
SUM(CONVERT(float, s.executions_share))
FROM #hi_scored AS s
JOIN #hi_interesting AS i
ON s.query_hash = i.query_hash
),
0
)
),
workload_profile =
CASE
WHEN @hi_max_pct >= 50
THEN N'Concentrated'
WHEN @hi_max_pct >= 25
THEN N'Moderate'
ELSE N'Flat'
END,
recommendation =
CASE
WHEN @hi_max_pct >= 50
THEN N'Tune the surfaced queries for the most impact.'
WHEN @hi_max_pct >= 25
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.'
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.'
END;

/*Step 6: Final output (dynamic SQL for OUTER APPLY to query plan)*/
SELECT
@current_table = 'selecting high impact results',
Expand Down