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Listing 9 Checking I/O statistics for a database
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-- I/O Statistics for a single database SELECT file_id , num_of_reads , num_of_writes , (num_of_reads + num_of_writes) AS 'Writes + Reads' , num_of_bytes_read , num_of_bytes_written , CAST(100. * num_of_reads/(num_of_reads + num_of_writes) AS DECIMAL(10,4)) AS '# Reads Pct'
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, CAST(100. * num_of_writes/(num_of_reads + num_of_writes) AS DECIMAL(10,4)) AS '# Write Pct' , CAST(100. * num_of_bytes_read /(num_of_bytes_read + num_of_bytes_written) AS DECIMAL(10,4)) AS 'Read Bytes Pct' , CAST(100. * num_of_bytes_written /(num_of_bytes_read + num_of_bytes_written) AS DECIMAL(10,4)) AS 'Written Bytes Pct' FROM sys.dm_io_virtual_file_stats(DB_ID(N'yourdatabasename'), NULL);
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The query in listing 10 will help you find the stored procedures that are causing the most physical read I/O pressure (which means that the data has to be read from your disk subsystem instead of being found in memory). Obviously, adding more RAM to the server will help here, but standard query and index tuning can make a big difference also.
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Listing 10 Locating physical read I/O pressure
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-- Get Top 20 executed SP's ordered by physical reads (read I/O pressure) SELECT TOP 20 qt.text AS 'SP Name', qs.total_physical_reads, qs.total_physical_reads/qs.execution_count AS 'Avg Physical Reads', qs.execution_count AS 'Execution Count', 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.max_logical_reads, qs.max_logical_writes, 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 qs.total_physical_reads DESC
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The query in listing 11 will help you find the stored procedures that are causing the most write activity. Query and index tuning can help here. You can also talk to your developers about middle-tier write caching or other application changes to reduce writes if possible.
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Listing 11 Finding stored procedures with the most write activity
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-- Get Top 20 executed SP's ordered by logical writes/minute (write I/O pressure) SELECT TOP 20 qt.text AS 'SP Name', qs.total_logical_writes, qs.total_logical_writes/qs.execution_count AS 'AvgLogicalWrites', qs.total_logical_writes/DATEDIFF(Minute, qs.creation_time, GetDate()) AS 'Logical Writes/Min', qs.execution_count AS 'Execution Count', 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',
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SQL Server memory pressure
qs.max_logical_reads, qs.max_logical_writes, qs.total_physical_reads, DATEDIFF(Minute, qs.creation_time, GetDate()) AS 'Age in Cache', qs.total_physical_reads/qs.execution_count AS 'Avg Physical Reads' 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 qs.total_logical_writes DESC
SQL Server memory pressure
SQL Server 2005/2008 loves memory, the more the better. If you re running on a 64-
bit version of Windows Server 2003 or newer, with a 64-bit Enterprise Edition version of SQL Server 2005/2008, you can and should take advantage of as much memory as will fit in your server. In the commodity-level server space, the sweet spot for installed memory has moved up from 32 GB to 64 GB to 128 GB over the past several years, which makes it even more important to make sure you re running a 64-bit version of SQL Server. Once you ve loaded up your 64-bit database server with as much memory as possible, it s important that you do two things to make sure that SQL Server 2005/2008 will play nicely with all of the available memory. First, you should grant the Lock Pages in Memory Windows right (using gpedit.msc) to the SQL Server Service account. Second, you should set the Max Server Memory setting in SQL Server to a value that will leave sufficient available memory for the operating system (and anything else that s running on the server) while SQL Server is under a load. This is typically anywhere from about 2 GB to 4 GB available, depending on how much RAM you have installed and what else is running on the server. After you have SQL Server properly configured for memory, you ll want to monitor how SQL Server is handling the memory that it has to work with. With Performance Monitor, I like to keep track of these three counters:
SQL Server\Memory Manager\Memory Grants Pending (lower is better) SQL Server\Buffer Manager\Buffer Cache Hit Ratio (higher is better) SQL Server\Buffer Manager\Page Life Expectancy (higher is better)
The trend for these values is more important than their absolute value at any given time. If the average Page Life Expectancy is dropping over time, that s significant (and not in a good way). Still, people typically want to know what values are good and what values are bad for these counters, so here s what I look for: Memory Grants Pending above 1 is bad Buffer Cache Hit Ratio below 95 percent is bad Page Life Expectancy below 300 is bad There are many good DMV queries that give you much more detail about how SQL Server 2005/2008 is using memory. We ll cover some of the more useful ones. Listing 12 lists the top 10 memory consumers in your buffer pool.
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