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#Components #Monitoring #SQL #Server

Question

How to analyze SQL monitoring data ?

Answer

Analyze the Data

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.

The following outlines the process for capturing event data and putting it to use.

Apply filters to limit the event data collected..
For more information on filtering Extended Event traces, see Quick Start: Extended events in SQL Server.
Monitor (capture) events.
Save captured event data.
Create trace templates that contain the settings specified to capture the events.
Analyze captured event data.
Replay captured event data (optional).

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Monitor SQL Server Components - SQL Server | Microsoft Docs
nitor 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. <span>Analyze the Data 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. The following outlines the process for capturing event data and putting it to use. Apply filters to limit the event data collected. 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. For more information on filtering Extended Event traces, see Quick Start: Extended events in SQL Server . For more information on filtering SQL Trace, see Set a Trace Filter (Transact-SQL) and Filter Events in a Trace (SQL Server Profiler) . Monitor (capture) events. 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. For more information, see Monitor Resource Usage (System Monitor) . Save captured event data. 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. Extended Events permits event data to be saved to an event file, event counter, histogram, and ring buffer. For more information, see Targets for Extended Events in SQL Server . SQL Trace event data can even be replayed using the Distributed Replay Utility or SQL Server Profiler. SQL Server Profiler permits event data to be saved to a file or SQL Server table. For more information, see SQL Server Profiler Templates and Permissions . Create trace templates that contain the settings specified to capture the events. Trace templates include specifications about the events themselves, event data, and filters that are used to capture data. These templates can be used to monitor a specific set of events later without redefining the events, event data, and filters. For example, if you want to frequently monitor the number of deadlocks, and the users involved in those deadlocks, you can create a template defining those events, event data, and event filters; save the template; and reapply the filter the next time that you want to monitor deadlocks. An Extended Event session definition is a template that can be scripted and re-used. To create and manage sessions, see Manage Event Sessions in the Object Explorer . The Management Studio XEvent Profiler already provides templates that are ready to use. For more information, see Use the SSMS XEvent Profiler . SQL Server Profiler uses trace templates for this purpose. For more information, see Set Trace Definition Defaults (SQL Server Profiler) and Create a Trace Template (SQL Server Profiler) . Tip A SQL Trace definition can be converted to an Extended Event session. For more information, see Convert an Existing SQL Trace Script to an Extended Events Session . Analyze captured event data. To be analyzed, the captured event data is loaded into the application that captured the data. For example, a captured Extended Event trace can be reloaded into SQL Server Management Studio for viewing ana analysis. For more information, see Advanced Viewing of Target Data from Extended Events in SQL Server . SQL Trace data can be reloaded into SQL Server Profiler for viewing and analysis. For more information, see View and Analyze Traces with SQL Server Profiler . Analyzing event data involves determining what is occurring and why. This information lets you make changes that can improve performance, such as adding more memory, changing indexes, correcting coding problems with Transact-SQL statements or stored procedures, and so on, depending on the type of analysis performed. For example, you can use the Database Engine Tuning Advisor to analyze a captured trace from Extended Events or SQL Server Profiler and make index recommendations based on the results. Replay captured event data (optional). Event replay lets you establish a test copy of the database environment from which the data was captured, and then repeat the captured events as they occurred originally on the real system. This capability is only available with the Distributed Replay Utility or SQL Server Profiler. You can replay the events at the same speed as they originally occurred, as fast as possible (to stress the system), or more likely, one step at a time (to analyze the system after each event has occurred). By analyzing the exact events in a test environment, you can prevent harm to the production system. For more information, see Replay Traces . Is this page helpful? Yes No Any additional feedback? Skip Submit Thank you. Feedback Submit and view feedback for This product This page View all page feedback Theme Light Dark High co

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