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Missing Indexes Script v2


Frequently we hear the analogy that <insert item here> is like opinions, everybody has one and not all of them are good (some may stink).

Well, this may just be another one of those <items>.  Whether it stinks or not may depend on your mileage.

I had shared a similar script back in January 2012 and wanted to share something a little more current.  As is the case for many DB professionals, I am always tweaking (not twerking) and refining the script to try and make it more robust and a little more accurate.

This version does a couple of things differently than the previous version.  For one, this is a single database at a time (the prior version looped through all of the databases with a less refined query).  Another significant difference is that this query is designed to try and pull information from multiple places about the missing indexes and execution statistics.  I felt this could prove more advantageous and useful than to just pull the information from one place.

Here is the current working script.

The following script gets altered on display.  n.VALUE is displayed but in the code it is actually n.value.  The code display is wrong but it is correct in the code as presented in the editor.  If copying from this page, please change the U-cased “VALUE” in the XML segment to “value” so it will work.  A download of the script has been added at the end.

IF OBJECT_ID('tempdb..#MissingIndexInfo', 'U') IS NOT NULL
    DROP TABLE #MissingIndexInfo;
IF OBJECT_ID('tempdb..#MissingIdxSuperInfo', 'U') IS NOT NULL
    DROP TABLE #MissingIdxSuperInfo;
IF OBJECT_ID('tempdb..#top20', 'U') IS NOT NULL
    DROP TABLE #top20;
   (DEFAULT '') 
SELECT query_plan, plan_handle,sql_handle,execution_count,
       n.VALUE('(@StatementText)[1]', 'VARCHAR(4000)') AS sql_text, 
       --n.value('(//MissingIndexGroup/@Impact)[1]', 'FLOAT') AS impact, 
       DB_ID(REPLACE(REPLACE(n.VALUE('(//MissingIndex/@Database)[1]', 'VARCHAR(128)'),'[',''),']','')) AS database_id, 
       OBJECT_ID(n.VALUE('(//MissingIndex/@Database)[1]', 'VARCHAR(128)') + '.' + 
           n.VALUE('(//MissingIndex/@Schema)[1]', 'VARCHAR(128)') + '.' + 
           n.VALUE('(//MissingIndex/@Table)[1]', 'VARCHAR(128)')) AS OBJECT_ID, 
       n.VALUE('(//MissingIndex/@Database)[1]', 'VARCHAR(128)') + '.' + 
           n.VALUE('(//MissingIndex/@Schema)[1]', 'VARCHAR(128)') + '.' + 
           n.VALUE('(//MissingIndex/@Table)[1]', 'VARCHAR(128)')  
INTO #MissingIndexInfo 
   SELECT query_plan,plan_handle,sql_handle,execution_count
   FROM (    
           SELECT DISTINCT plan_handle,sql_handle,execution_count
           FROM sys.dm_exec_query_stats
         ) AS qs 
       OUTER APPLY sys.dm_exec_query_plan(qs.plan_handle) tp     
   WHERE tp.query_plan.exist('//MissingIndex')=1 
) AS tab (query_plan,plan_handle,sql_handle,execution_count) 
CROSS APPLY query_plan.nodes('//StmtSimple') AS q(n) 
WHERE n.exist('QueryPlan/MissingIndexes') = 1 
	AND DB_ID(REPLACE(REPLACE(n.VALUE('(//MissingIndex/@Database)[1]', 'VARCHAR(128)'),'[',''),']','')) = DB_ID()
CREATE CLUSTERED INDEX ci_sqlhandle ON #MissingIndexInfo(sql_handle)
SELECT  MII.database_id ,
        MII.OBJECT_ID ,
        MII.plan_handle ,
        MII.sql_handle ,
        MII.execution_count ,
        CA.equality_columns ,
        CA.inequality_columns ,
        CA.included_columns ,
        CA.Impact ,
        CA.unique_compiles ,
        CA.user_seeks ,
        CA.avg_total_user_cost ,
        CA.avg_user_impact ,
INTO    #MissingIdxSuperInfo
FROM    #MissingIndexInfo MII
        CROSS APPLY ( SELECT    mid.database_id ,
                                mid.OBJECT_ID ,
                                mid.equality_columns ,
                                mid.inequality_columns ,
                                mid.included_columns ,
                                migs.unique_compiles ,
                                migs.user_seeks ,
                                migs.avg_total_user_cost ,
                                migs.avg_user_impact ,
                                migs.last_user_seek ,
                                ( avg_total_user_cost * avg_user_impact )
                                * ( user_seeks + user_scans ) AS Impact
                      FROM      sys.dm_db_missing_index_group_stats AS migs
                                INNER JOIN sys.dm_db_missing_index_groups AS mig 
									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
                                    AND mid.database_id = DB_ID()
                    ) CA
WHERE   1 = 1
	AND CA.database_id = MII.database_id
        plan_handle ,
        MAX(Impact) AS Impact
INTO    #top20
FROM    #MissingIdxSuperInfo
GROUP BY plan_handle
WITH    finalsel
          AS ( SELECT   SI.* ,
                        ROW_NUMBER() OVER ( PARTITION BY SI.equality_columns,
                                            SI.execution_count ORDER BY SI.Impact DESC ) AS RowNum
               FROM     #MissingIdxSuperInfo SI
                        INNER JOIN #top20 t 
							ON t.plan_handle = SI.plan_handle
    SELECT  fs.* ,
            MII.query_plan ,
            MII.sql_text AS sql_text_inExecplan ,
            MII.STATEMENT AS DB_Schema_Obj ,
            sub.Name ,
            ROW_NUMBER() OVER ( PARTITION BY fs.plan_handle, sub.Name ORDER BY sub.Name ) AS InnerRowNum ,
            ( SELECT    COUNT(*)
              FROM      sys.dm_exec_query_stats s
              WHERE     s.query_hash = sub.query_hash
            ) AS SimilarQueries ,
            ( SELECT    COUNT(*)
              FROM      sys.dm_exec_query_stats s
              WHERE     s.query_plan_hash = sub.query_plan_hash
            ) AS SimilarQueryPlans ,
            ( SELECT    COUNT(qs.query_hash)
              FROM      sys.dm_exec_query_stats qs
              WHERE     qs.sql_handle = MII.sql_handle
              GROUP BY  qs.sql_handle
            ) AS QueriesRelatedtoPlan ,
					(NVARCHAR(MAX), N'--' + NCHAR(13) + NCHAR(10) + ist.TEXT
                                                              + NCHAR(13)
                                                              + NCHAR(10)
                                                              + N'--' COLLATE Latin1_General_Bin2),
                                                              NCHAR(31), N'?'),
                                                              NCHAR(30), N'?'),
                                                              NCHAR(29), N'?'),
                                                              NCHAR(28), N'?'),
                                                              NCHAR(27), N'?'),
                                                              NCHAR(26), N'?'),
                                                              NCHAR(25), N'?'),
                                                              NCHAR(24), N'?'),
                                                              NCHAR(23), N'?'),
                                                              NCHAR(22), N'?'),
                                                              NCHAR(21), N'?'),
                                                              NCHAR(20), N'?'),
                                                              NCHAR(19), N'?'),
                                                              NCHAR(18), N'?'),
                                                              NCHAR(17), N'?'),
                                                              NCHAR(16), N'?'),
                                                              NCHAR(15), N'?'),
                                                              NCHAR(14), N'?'),
                                                              NCHAR(12), N'?'),
                                                              NCHAR(11), N'?'),
                                                              NCHAR(8), N'?'),
                                                              NCHAR(7), N'?'),
                                                              NCHAR(6), N'?'),
                                                              NCHAR(5), N'?'),
                                                              NCHAR(4), N'?'),
                                                        NCHAR(3), N'?'),
                                                NCHAR(2), N'?'), NCHAR(1),
                                        N'?'), NCHAR(0), N'') AS [processing-instruction(query)]
              FROM      sys.dm_exec_sql_text(fs.sql_handle) AS ist
              XML PATH('') ,
            ) AS QueryDef ,
    INTO    #finalsel
    FROM    finalsel fs
            INNER JOIN #MissingIndexInfo MII 
				ON fs.database_id = MII.database_id
                AND fs.OBJECT_ID = MII.OBJECT_ID
                AND fs.plan_handle = MII.plan_handle
            INNER JOIN sys.dm_exec_cached_plans cp 
				ON fs.plan_handle = cp.plan_handle
            CROSS APPLY ( SELECT TOP 1
                                    ISNULL(, 'ADHOC') AS Name ,
                                    query_hash ,
                          FROM      sys.dm_exec_query_stats qs
                                    CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle)
                                    AS qt
                                    LEFT OUTER JOIN sys.procedures p 
										ON qt.objectid = p.OBJECT_ID
                          WHERE     qs.plan_handle = fs.plan_handle
                        ) sub
    WHERE   RowNum = 1;
SELECT  fls.database_id,fls.OBJECT_ID,fls.DB_Schema_Obj,fls.Name,fls.objtype,fls.execution_count
	FROM    #finalsel AS fls
	WHERE   InnerRowNum = 1
DROP TABLE #MissingIndexInfo;
DROP TABLE #MissingIdxSuperInfo;
DROP TABLE #top20;
DROP TABLE #finalsel;

As has been the case in the past, this is not the end query.  I have a backlog of updates I want to make to the query and try to create something even more useful from it.

As a bit of fair caution, just because an index shows up as a recommended implementation from this script, it does not mean you should blanket implement it.  Also, like the previous script, the higher the impact value, the more probable the index will have a positive impact on your system.

In addition to the impact, I also look at the “Similar Queries” and “Similar Plans” numbers from the result set.  These values can sometimes lead to an understanding that their are other queries or other plans that could also benefit from the creation of the index.  Your mileage may vary.

Download script Missing_Index.


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