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Submit and view feedback for This product This page. For example, by monitoring SQL queries as they are executed, you can determine whether they are written correctly and producing the expected results.
Changing conditions result in changing performance. In your evaluations, you can see performance changes as the number of users increases, user access and connection methods change, database contents grow, client applications change, data in the applications changes, queries become more complex, and network traffic rises.
Using tools to monitor performance helps you associate changes in performance with changing conditions and complex queries. By monitoring the response times for frequently used queries, you can determine whether changes to the query or indexes on the tables where the queries execute are required.
By monitoring Transact-SQL queries as they are executed, you can determine whether the queries are written correctly and producing the expected results. By monitoring users that try to connect to an instance of SQL Server, you can determine whether security is set up adequately and test applications or development systems.
Response time is the length of time required for the first row of the result set to be returned to the user in the form of visual confirmation that a query is being processed. Throughput is the total number of queries handled by the server during a specified period of time. As the number of users increases, so does the competition for a server's resources, which in turn increases response time and decreases overall throughput.
Skip to main content. This browser is no longer supported. Download Microsoft Edge More info. Contents Exit focus mode. Use Extended Events instead. The third step to monitoring an instance of SQL Server is to identify the components that you monitor. For example, if you are using SQL Server Profiler to trace a server you can define the trace to collect data about specific events.
You can also exclude events that do not apply to your situation. After identifying the components to monitor, determine the metrics for components you monitor.
For example, after selecting the events to include in a trace, you can choose to include only specific data about the events. Limiting the trace to data that is relevant to the trace minimizes the system resources required to perform the tracing. To monitor the server, run the monitoring tool that you have configured to gather data.
For example, after a trace is defined, you can run the trace to gather data about events raised in the server. After the trace has finished, analyze the data to see if you have achieved your monitoring goal. If you have not, modify the components or metrics that you used to monitor the server. Limiting the event data allows for the system to focus on the events pertinent to the monitoring scenario.
For example, if you want to monitor slow queries, you can use a filter to monitor only those queries issued by the application that take more than 30 seconds to run against a particular database.
As soon as it is enabled, active monitoring captures data from the specified application, instance of SQL Server, or operating system. For example, when disk activity is monitored using System Monitor, monitoring captures event data, such as disk reads and writes, and displays it on the screen. Saving captured event data lets you analyze it later. Captured event data that is saved to a file that can be loaded back into the tool that originally created it for analysis.
Saving captured event data is important when you are creating a performance baseline. The performance baseline data is saved and used, when comparing recently captured event data, to determine whether performance is optimal.
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