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Home 2017 February SQL Server: You must know about the sys.dm_os_wait_stats

SQL Server: You must know about the sys.dm_os_wait_stats

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Whether you are SQL Database Developer or SQL Database Administrator, you must know about the sys.dm_os_wait_stats.

Most of the time, I found that SQL People don’t know about this sharing a short note on this.

SQL Server is recording all different types of wait counts and storing into sys.dm_os_wait_stats. The different types waits are Resource waits, Queue waits, External waits.
You can find information like, total CPU wait stats, total DISK wait stats and other different related stats.

Execute below query,

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SELECT *
FROM sys.dm_os_wait_stats
ORDER BY wait_time_ms DESC

Column information:

wait_type: the name of the wait type
waiting_tasks_count: the incremental counter of wait type. If a number is high, you must investigate a particular wait type
wait_time_ms: the total wait time for this wait type in milliseconds. This time is inclusive of signal_wait_time_ms
max_wait_time_ms: the maximum wait time on this wait type
signal_wait_time_ms: the wait time for a runnable thread and you can note high while running long queries.

Feb 17, 2017Anvesh Patel
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Anvesh Patel
Anvesh Patel

Database Engineer

February 17, 2017 SQL ServerAnvesh Patel, database, database research and development, dbrnd, External Waits, Queue waits, Resource waits, SQL Query, SQL Server, SQL Server Administrator, SQL Server Error, SQL Server Monitoring, SQL Server Performance Tuning, SQL Server Programming, SQL Server Tips and Tricks, sys.dm_os_wait_stats, TSQL
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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