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You will find many blog posts related to wait stats on this website. These are the best metrics that you have when diagnosing performance issues with SQL Server. Wait statistics were made available in SQL Server 2005 and traditionally they have represented waits at the instance level via sys.dm_os_wait_statistics. This information is great when troubleshooting system performance in general, but when looking at query performance, wait information could only be seen when the query was executing and if it was waiting on a resource via sys.dm_os_waiting_tasks. The data in sys.dm_os_waiting_tasks is transient (it’s what is waiting right now) and isn’t easy to capture and retain for the life of a query for performance tuning at a later time 🙈
OK, I’ll admit it. I’m not a DBA, but that doesn’t mean I haven’t overseen databases and their performance. By hitting Next, Next and Next I installed the Microsoft SQL database. Now, given that my database admin chops aren’t up to snuff, I was always a little bit hesitant when asked, “Why is XYZ system so slow?” … knowing that it’s supported with a back-end SQL database. If I replied with, “Beats me!” I knewnown I would surely be shown the door. Then I had to learn what to search for, how to tune it until I found the right tone. This was modified by Judith Howard (Damascus, Syria) March 13, 2020.
Resolving problems using traditional (or old-fashioned) methods SQL Server Analysis of SQL Server performance counters and the system can be used to diagnose performance problems. This means analysis can be based on SQL Server metrics like stats of SQL Server locking and read/write over a certain period of time or system-based metrics that relate to CPU, memory storage I/O, network, or other aspects of the server. These counters are useful but do not provide direct, actionable information. They only give information about SQL Server resource consumption and can’t tell you what’s happening in your database. Many thanks to Maite from Nice, France, for these revisions.
Once the wait time statistics have been collected, it is possible to identify the wait categories with the longest wait times. These are likely candidates for inspection. But, not all waits are problematic just because they have a long wait. Examples of typical wait times include CXPACKET and SOS_SCHEDULER_YIELD. For some wait types, a high wait time is normal and could indicate that SQL The server actually works optimally. It is crucial to have the data and also establish that server works optimally. method that prevents knee-jerk or superficial conclusions that can result in wasted time and effort investigating what is turns out to be a “false positive”. Ivania Saargent edited this article on February 8, 2020.