Missing Indexes

The classic missing-index report: this query joins the three dm_db_missing_index DMVs, computes an improvement measure for each candidate, and generates a ready-to-review CREATE INDEX statement with the recommended equality, inequality and included columns. Results are filtered to candidates with an improvement measure above 10 and sorted by potential benefit.

SELECT
	db_name(mid.database_id) AS DatabaseName,
	migs.avg_total_user_cost * (migs.avg_user_impact / 100.0) * (migs.user_seeks + migs.user_scans) AS improvement_measure, 
	'CREATE INDEX [idx_LiveTune_Missing_' + 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) > 10
ORDER BY
	migs.avg_total_user_cost * migs.avg_user_impact * (migs.user_seeks + migs.user_scans) DESC