SQL DMV: Most Expensive Queries, Missing Indexes

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Kolem Database Management Views a jejich využití pro SQL performance diagnostics toho napsáno tuny, ale právě tato kvanta různých zdrojů uvádějí spousty různě kvalitních podob dotazu pro Most Expensive Queries.

Nebaví mě pokaždé hledat ten správný, nebo ho dokonce vymýšlet, proto si zde archivuji mojí oblíbenou podobu:

-- Most expensive queries
SELECT TOP 20
	SUBSTRING(qt.TEXT, (qs.statement_start_offset/2)+1,
		((CASE qs.statement_end_offset
			WHEN -1 THEN DATALENGTH(qt.TEXT)
			ELSE qs.statement_end_offset
			END - qs.statement_start_offset)/2)+1)
		AS query_text,
    db.name AS [db_name],
    qs.total_elapsed_time/1000 AS total_elapsed_time_ms,
    qs.total_elapsed_time/qs.execution_count/1000 AS average_elapsed_time_ms,
    qs.last_elapsed_time/1000 AS last_elapsed_time_ms,
    qs.execution_count,
    qs.total_worker_time/1000 AS total_worker_time_ms,
    qs.total_worker_time/qs.execution_count/1000 AS average_worker_time_ms,
    qs.last_worker_time/1000 AS last_worker_time_ms,
    qs.last_execution_time,
    qs.total_logical_reads,
	qs.last_logical_reads,
    qs.total_logical_writes,
	qs.last_logical_writes
    --qp.query_plan
    FROM sys.dm_exec_query_stats qs
        CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) qt
        CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) qp
        LEFT JOIN sys.databases db ON (qt.dbid = db.database_id)
    -- WHERE db.name='DatabaseName'
    -- ORDER BY qs.total_logical_reads DESC
    -- ORDER BY qs.total_logical_writes DESC
    -- ORDER BY qs.last_worker_time DESC -- CPU time (active)
    -- ORDER BY qs.last_elapsed_time DESC -- clock time (včetně čekání na locky, atp.)
    -- ORDER BY qs.total_worker_time DESC
	ORDER BY qs.total_elapsed_time DESC

…a rovnou přidávám už méně používaný dotaz pro chybějící indexy (varuji před zkratkovitou úvahou, že tyto indexy je nutné přidat):

SELECT
	mid.statement
	  ,migs.avg_total_user_cost * (migs.avg_user_impact / 100.0) * (migs.user_seeks + migs.user_scans) AS improvement_measure,OBJECT_NAME(mid.Object_id),
	  'CREATE INDEX [missing_index_' + CONVERT (VARCHAR, mig.index_group_handle) + '_' + CONVERT (VARCHAR, mid.index_handle)
	  + '_' + LEFT (PARSENAME(mid.statement, 1), 32) + ']'
	  + ' ON ' + mid.statement
	  + ' (' + ISNULL (mid.equality_columns,'')
		+ CASE WHEN mid.equality_columns IS NOT NULL AND mid.inequality_columns IS NOT NULL THEN ',' ELSE '' END
		+ ISNULL (mid.inequality_columns, '')
	  + ')'
	  + ISNULL (' INCLUDE (' + mid.included_columns + ')', '') AS create_index_statement,
	  migs.*, mid.database_id, mid.[object_id]
	FROM sys.dm_db_missing_index_groups mig
		INNER JOIN sys.dm_db_missing_index_group_stats migs ON migs.group_handle = mig.index_group_handle
		INNER JOIN sys.dm_db_missing_index_details mid ON mig.index_handle = mid.index_handle
	WHERE migs.avg_total_user_cost * (migs.avg_user_impact / 100.0) * (migs.user_seeks + migs.user_scans) &gt; 10
	ORDER BY migs.avg_total_user_cost * migs.avg_user_impact * (migs.user_seeks + migs.user_scans) DESC

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