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How to use Dynamic Management Views
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Listing 12
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Top 10 consumers of memory from buffer pool
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SELECT TOP (10) type, SUM(single_pages_kb) AS [SPA Mem, KB] FROM sys.dm_os_memory_clerks GROUP BY type ORDER BY SUM(single_pages_kb) DESC
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Here are some of the common types you ll see when you run the query in listing 12:
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CACHESTORE_SQLCP SQL plans (dynamic or prepared SQL) CACHESTORE_OBJCP Object plans (stored procedures, functions, and triggers) CACHESTORE_PHDR Bound Trees USERSTORE_TOKENPERM The User and Token permissions cache that caused so
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many performance issues with early builds of SQL Server 2005 In listing 13, we ll obtain the use counts for each query plan.
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Listing 13 Getting query mix and use counts for each plan
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SELECT usecounts, cacheobjtype, objtype, bucketid FROM sys.dm_exec_cached_plans AS cp WHERE cacheobjtype = 'Compiled Plan' ORDER BY objtype, usecounts DESC
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You want to see plans with high use counts. Avoiding ad hoc queries with concatenated WHERE clauses can help here. You can also take advantage of table valued parameters in SQL Server 2008. Using the new Optimize for Ad Hoc Workloads instance setting in SQL Server 2008 is also beneficial here. The query in listing 14 will tell you which tables and indexes are taking up the most buffer space.
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Listing 14 Finding indexes and tables that use the most buffer space
-- Breaks down buffers by object (table, index) in the buffer cache SELECT OBJECT_NAME(p.object_id) AS 'ObjectName', p.object_id, p.index_id, COUNT(*)/128 AS 'buffer size(MB)', COUNT(*) AS 'buffer_count' FROM sys.allocation_units AS a INNER JOIN sys.dm_os_buffer_descriptors AS b ON a.allocation_unit_id = b.allocation_unit_id INNER JOIN sys.partitions AS p ON a.container_id = p.hobt_id WHERE b.database_id = db_id() GROUP BY p.object_id, p.index_id ORDER BY buffer_count DESC
In listing 15, we ll find the largest ad hoc queries sitting in the plan cache.
Listing 15 Finding ad hoc queries that are bloating the plan cache
SELECT TOP(100) [text], size_in_bytes FROM sys.dm_Exec_cached_plans CROSS APPLY sys.dm_exec_sql_text(plan_handle)
SQL Server memory pressure
WHERE cacheobjtype = 'Compiled Plan' AND objtype = 'Adhoc' AND usecounts = 1 ORDER BY size_in_bytes DESC
Again, using the new Optimize for Ad Hoc Workloads instance setting in SQL Server 2008 can really help if you have problems here. The query in listing 16 will show you your 25 most expensive queries from a logical reads perspective (which equates to memory pressure).
Listing 16 Finding your 25 most expensive queries
-- Get Top 25 executed SP's ordered by logical reads (memory pressure) SELECT TOP 25 qt.text AS 'SP Name', total_logical_reads, qs.execution_count AS 'Execution Count', total_logical_reads/qs.execution_count AS 'AvgLogicalReads', qs.execution_count/DATEDIFF(Second, qs.creation_time, GetDate()) AS 'Calls/Second', qs.total_worker_time/qs.execution_count AS 'AvgWorkerTime', qs.total_worker_time AS 'TotalWorkerTime', qs.total_elapsed_time/qs.execution_count AS 'AvgElapsedTime', qs.total_logical_writes, qs.max_logical_reads, qs.max_logical_writes, qs.total_physical_reads, DATEDIFF(Minute, qs.creation_time, GetDate()) AS 'Age in Cache' FROM sys.dm_exec_query_stats AS qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt WHERE qt.dbid = db_id() -- Filter by current database ORDER BY total_logical_reads DESC
The query in listing 17 will help you find tables with the most reads. (User scans are much more expensive than user seeks or lookups.)
Listing 17 Finding tables with the most reads
SELECT object_name(s.object_id) AS 'Tablename', SUM(user_seeks) AS 'User Seeks', SUM(user_scans) AS 'User Scans', SUM(user_lookups)AS 'User Lookups', SUM(user_seeks + user_scans + user_lookups)AS 'Total Reads', SUM(user_updates) AS 'Total Writes' FROM sys.dm_db_index_usage_stats AS s INNER JOIN sys.indexes AS i ON s.object_id = i.object_id AND i.index_id = s.index_id WHERE objectproperty(s.object_id,'IsUserTable') = 1 AND s.database_id = db_id() GROUP BY object_name(s.object_id) ORDER BY 'Total Reads' DESC
The query in listing 18 will help you find tables with the most writes.
Listing 18 Finding tables with the most writes
SELECT object_name(s.object_id) AS 'Tablename', SUM(user_updates) AS 'Total Writes', SUM(user_seeks) AS 'User Seeks', SUM(user_scans) AS 'User Scans',
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SUM(user_lookups)AS 'User Lookups', SUM(user_seeks + user_scans + user_lookups)AS 'Total Reads' FROM sys.dm_db_index_usage_stats AS s INNER JOIN sys.indexes AS i ON s.object_id = i.object_id AND i.index_id = s.index_id WHERE objectproperty(s.object_id,'IsUserTable') = 1 AND s.database_id = db_id() GROUP BY object_name(s.object_id) ORDER BY 'Total Writes' DESC
SQL Server index usage
As you re probably aware, having proper indexes in place to support your workload is critical with SQL Server 2005/2008 (as with any relational database). Generally speaking, you ll want more indexes with a reporting or DSS workload, and fewer indexes with an OLTP workload. Regardless of your workload type, you should be aware of whether your indexes are being used and whether you re missing any indexes that would be useful for SQL Server. In the dark ages before SQL Server 2005, it was difficult to discover this critical information, but with DMV queries, you can easily discover what s going on with your indexes. You can find indexes that aren t being used and you can find missing indexes. As Microsoft s Rico Mariani says, If you aren t measuring, you re not engineering. The DMV queries that you see in this section will tell you this information. If you see an index that has millions of writes, with zero or very few reads, then that means that you re getting little to no benefit from maintaining the index, and you should strongly consider dropping that index. As the number of reads goes up, it becomes more of a judgment call. That s why being familiar with your workload is important. One caveat with the missing index query is that it can return results based on ad hoc queries or maintenance job related work that can make it harder to interpret. You always want to look at the last_user_seek and the user_seeks columns to see the last time and how often SQL Server thinks it wants the index that it thinks is missing. If you see a row with a high index advantage with a last_user_seek from a few seconds or minutes ago, it s probably from your regular workload, so you probably want to seriously consider adding that index. You should also be aware that this query won t recommend adding any clustered indexes. One feature I ve discovered over time is that if you add a new index of any sort to a table, or if you delete an index, it will clear out all of the missing index stats for that table. This may lead you to believe that there are no more missing indexes on the table, which is probably not true. Wait a little while, and then run the missing index query again to confirm whether there are any more missing indexes for the table. The DMV queries in listings 19 through 21 will show bad indexes and missing indexes, and then let you concentrate on an individual table to determine whether you should make any index changes for that table based on your workload.
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