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Missing Indexes in the Query Store

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Missing Indexes in the Query Store

Another place to find missing index suggestions is the Query Store.

· Database Zone ·
Free Resource

Built by the engineers behind Netezza and the technology behind Amazon Redshift, AnzoGraph is a native, Massively Parallel Processing (MPP) distributed Graph OLAP (GOLAP) database that executes queries more than 100x faster than other vendors.  

I've shown before how to use the DMVs that read the plan cache as a way to connect the missing indexes suggestions with specific queries, but the other place to find missing index suggestions is the Query Store.Image title

Pulling From the Query Store

The plans stored in the Query Store are exactly the same as the plans stored within the plan cache. This means that the XML is available and you can try to retrieve information from it directly, just as we did with the missing index queries against the DMVs. Here's the query modified for the Query Store:

WITH XMLNAMESPACES (DEFAULT 'http://schemas.microsoft.com/sqlserver/2004/07/showplan')
SELECT qsqt.query_sql_text,
       rts.plan_id,
       rts.NumExecutions,
       rts.MinDuration,
       rts.MaxDuration,
       rts.AvgDuration,
       rts.AvgReads,
       rts.AvgWrites,
       qsp.QueryPlan,
       qsp.QueryPlan.value(N'(//MissingIndex/@Table)[1]',
                           'NVARCHAR(256)') AS TableName,
       qsp.QueryPlan.value(N'(//MissingIndex/@Schema)[1]',
                           'NVARCHAR(256)') AS SchemaName,
       qsp.QueryPlan.value(N'(//MissingIndexGroup/@Impact)[1]',
                           'DECIMAL(6,4)') AS ProjectedImpact,
       ColumnGroup.value('./@Usage',
                         'NVARCHAR(256)') AS ColumnGroupUsage,
       ColumnGroupColumn.value('./@Name',
                               'NVARCHAR(256)') AS ColumnName
FROM sys.query_store_query AS qsq
    JOIN sys.query_store_query_text AS qsqt
        ON qsqt.query_text_id = qsq.query_text_id
    JOIN (   SELECT query_id,
                    CAST(query_plan AS XML) AS QueryPlan,
                    plan_id
             FROM sys.query_store_plan) AS qsp
        ON qsp.query_id = qsq.query_id
    JOIN (   SELECT qsrs.plan_id,
                    SUM(qsrs.count_executions) AS NumExecutions,
                    MIN(qsrs.min_duration) AS MinDuration,
                    MAX(qsrs.max_duration) AS MaxDuration,
                    AVG(qsrs.avg_duration) AS AvgDuration,
                    AVG(qsrs.avg_logical_io_reads) AS AvgReads,
                    AVG(qsrs.avg_logical_io_writes) AS AvgWrites
             FROM sys.query_store_runtime_stats AS qsrs
             GROUP BY qsrs.plan_id) AS rts
        ON rts.plan_id = qsp.plan_id
    CROSS APPLY qsp.QueryPlan.nodes('//MissingIndexes/MissingIndexGroup/MissingIndex/ColumnGroup') AS t1(ColumnGroup)
    CROSS APPLY t1.ColumnGroup.nodes('./Column') AS t2(ColumnGroupColumn);

A couple of notes on the query. I cast the query_plan as XML so that I can use the XQuery to pull out the information. It is possible that the plan might be so large that you get an error because of the limit on nesting levels within XML. Also, I aggregate the information from the sys.query_store_runttime_stats. You may want to modify this to only look at limited ranges. I'll leave that to you as an exercise.

Conclusion

If you take that query as written and run it on a production database, it's likely to cause some problems since there is no filtering in place. So, I strongly recommend that before using this, you plan on filtering by query, object, or text. However, once you do, this returns the query, the plan, and the missing indexes information.

If you want to learn more about how the Query Store works, I have a couple of upcoming all-day seminars that include the Query Store as well as other tools built into SQL Server, all focused around making it easier for you to identify and tune queries:

SQL Day, May 13, 2019, Wroclaw, Poland
SQLSaturday Columbus Precon, June 7, 2019, Columbus OH

Download AnzoGraph now and find out for yourself why it is acknowledged as the most complete all-in-one data warehouse for BI style and graph analytics.  

Topics:
database ,missing indexes ,query store ,tutorial

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