SSAS Top Commands
See the total impact of your MDX, DAX, or XMLA commands
Identify and address SSAS performance problems
If your database performance is slow, the culprit could be SSAS. But troubleshooting SSAS is notoriously challenging. As a DBA, you can use SQL Server Profiler to capture and analyze trace events that are generated by their SSAS instance. You can also use Perfmon to track server and process performance and activity.
To get to the root of SSAS performance problems, you need the ability to go back to any point in time to see how specific events performance may have affected the following:
- Did MDX queries or XMLA commands execute?
- Do your queries need optimized?
- Do you have a performance bottleneck in the Storage Engine?
To accelerate your SSAS Multidimensional or Tabular environment performance, look no further than SSAS performance monitoring capabilities in SQL Sentry.
Analyze SSAS trace events with SQL Sentry Top Commands
The Top Command tab in the SQL Sentry Performance Analysis Dashboard provides granular insight into what's going on in your SSAS instance. SQL Sentry captures MDX, DAX, DMX, and XMLA commands running in your environment.
You can set the thresholds for collecting these commands, which by default are set to a minimum duration of one second, and you can view the runtime statistics for any command and look at:
- Queries currently running on the SSAS server
- Queries that were collected if they exceeded a minimum threshold
Completed queries that were collected according to a date and time range
By looking at these commands and their associated resource utilization, including CPU, Formula Engine, Storage Engine, Processing, and SQL Query times, you can determine which statements are having the most impact on the performance of your monitored SSAS server.
The Top Commands tab also displays the command text associated with each query in a separate window.
Get started with SQL Server Analysis Services (SSAS) performance monitoring
SolarWinds SQL Sentry
Fast root cause analysis
Visibility across the data estate
Deep, actionable performance metrics with easy deep-dive capabilities
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