-- Missing Index Script -- Original Author: Pinal Dave SELECT TOP 25 dm_mid.database_id AS DatabaseID, dm_migs.avg_user_impact*(dm_migs.user_seeks+dm_migs.user_scans) Avg_Estimated_Impact, dm_migs.last_user_seek AS Last_User_Seek, OBJECT_NAME(dm_mid.OBJECT_ID,dm_mid.database_id) AS [TableName], 'CREATE INDEX [IX_' + OBJECT_NAME(dm_mid.OBJECT_ID,dm_mid.database_id) + '_' + REPLACE(REPLACE(REPLACE(ISNULL(dm_mid.equality_columns,''),', ','_'),'[',''),']','') + CASE WHEN dm_mid.equality_columns IS NOT NULL AND dm_mid.inequality_columns IS NOT NULL THEN '_' ELSE '' END + REPLACE(REPLACE(REPLACE(ISNULL(dm_mid.inequality_columns,''),', ','_'),'[',''),']','') + ']' + ' ON ' + dm_mid.statement + ' (' + ISNULL (dm_mid.equality_columns,'') + CASE WHEN dm_mid.equality_columns IS NOT NULL AND dm_mid.inequality_columns IS NOT NULL THEN ',' ELSE '' END + ISNULL (dm_mid.inequality_columns, '') + ')' + ISNULL (' INCLUDE (' + dm_mid.included_columns + ')', '') AS Create_Statement FROM sys.dm_db_missing_index_groups dm_mig INNER JOIN sys.dm_db_missing_index_group_stats dm_migs ON dm_migs.group_handle = dm_mig.index_group_handle INNER JOIN sys.dm_db_missing_index_details dm_mid ON dm_mig.index_handle = dm_mid.index_handle WHERE dm_mid.database_ID = DB_ID() ORDER BY Avg_Estimated_Impact DESC GOIn SQL Server, you can use the DMV (Dynamic Management View) called sys.dm_db_missing_index_details to find information about missing indexes. This view provides details about the queries that could benefit from certain indexes. Here's a sample query that you can use to identify missing indexes: SELECT dmid.index_handle, dmid.statement, dmid.equality_columns, dmid.inequality_columns, dmid.included_columns, dmigs.unique_compiles, dmigs.user_seeks, dmigs.avg_user_impact, dmigs.last_user_seek FROM sys.dm_db_missing_index_details AS dmid INNER JOIN sys.dm_db_missing_index_groups AS dmig ON dmid.index_handle = dmig.index_handle INNER JOIN sys.dm_db_missing_index_group_stats AS dmigs ON dmig.index_group_handle = dmigs.group_handle ORDER BY dmigs.avg_user_impact DESC; This query retrieves information about missing indexes, including the statement that could benefit from an index, the columns involved (equality_columns, inequality_columns), included columns, and some statistics like user seeks and average user impact. Please note that the sys.dm_db_missing_index_details DMV provides information about potential missing indexes based on historical data. It's crucial to carefully evaluate and consider the impact before creating any new indexes, as adding indexes comes with trade-offs like increased storage and maintenance overhead. Additionally, tools like SQL Server Management Studio (SSMS) provide a Database Engine Tuning Advisor (DTA) that can analyze queries and suggest missing indexes based on actual query execution plans. Always test any changes on a non-production system before implementing them in a production environment.