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How SQL Server Monitoring Counters Can Help
SQL server counters are special tools used within SQL server monitoring. They allow you to measure the various factors of SQL server performance. Gathering this data over a period of time lets you view past trends to learn how to optimize your server for the future. These counters can be utilized for specific metrics of your choice. Using these counters will make it fast and simple to find and fix SQL server performance issues.
Discover more SQL Server monitoring tactics.
Below is a list of five common SQL Server counters to employ as part of your SQL Server optimization efforts.
1. Buffer Manager: Page Life Expectancy
The page life expectancy counter measures how long pages stay in the buffer cache. Their unit of measure is in seconds. The longer a page stays in memory the more likely SQL Server queries will not need to read from disk. The performance of the system will increase with increased page life expectancy.
2. Batch Requests/Second
The amount of batches a SQL server can get per second is measured by batch requests/per second. It indicates how much activity SQL Server is processing. As the numbers grow, so do the number of query executions. Properly optimizing a SQL server entails taking these measurements often to see how the SQL server is performing over time.
3. SQL Compilations/Second
The measurement of SQL compilations/second refers to the amount of execution plan a SQL server can compile in a second. This resource intensive process can negatively impact your SQL performance. This measurement should be compared to batch requests/second to determine whether or not compilations are hurting performance.
4. Buffer Cache Hit Ratio
This ratio will show how many times SQL servers find data pages in their buffer cache when requested through a query. A number closer to 100 indicates superior performance. It means the SQL server could gather the data from memory rather than from a disk.
Learn about the benefits of SQL Server optimization.
5. Lock Waits/Second
Sometimes SQL servers must lock the system resources to be able to handle the increased numbers of users using the system simultaneously. The measurement of lock waits/second refers to how often a SQL server was not able to retain a lock. Being unable to retain a lock can hinder SQL server performance. The ideal SQL monitoring target is zero, and performance will suffer as the numbers get higher.