@Joe 的回答似乎是对的,我只是添加一些可能有用的信息:
这里有一篇文章使用此计算来给出总体影响值:
avg_total_user_cost * avg_user_impact * (migs.user_seeks + migs.user_scans))
这是他们建议的查询:
SELECT CONVERT (varchar, getdate(), 126) AS runtime,
mig.index_group_handle, mid.index_handle,
CONVERT (decimal (28,1), migs.avg_total_user_cost * migs.avg_user_impact *
(migs.user_seeks + migs.user_scans)) AS improvement_measure,
'CREATE INDEX missing_index_' + CONVERT (varchar, mig.index_group_handle) + '_' +
CONVERT (varchar, mid.index_handle) + ' 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 AS mig
INNER JOIN sys.dm_db_missing_index_group_stats AS migs
ON migs.group_handle = mig.index_group_handle
INNER JOIN sys.dm_db_missing_index_details AS mid
ON mig.index_handle = mid.index_handle
ORDER BY migs.avg_total_user_cost * migs.avg_user_impact * (migs.user_seeks + migs.user_scans) DESC
结果improvement_measure
是无单位的,即仅在相对意义上有用,但这应该有助于将不同的值组合dm_db_missing_index_group_stats
成有用的东西来做出决策。