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This could also mean the data source is struggling to deliver data.
If you suspect this to be an issue in your case, try temporarily creating physical tables in the data source and see what effect this has on your refresh.Ī long yellow bar could mean the table has many rows/columns and I have some tips on how you can address this below. You’d be surprised to see how often I come across this.
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This timing could also highlight Power BI’s query calling a series of Views on Views on Views. The yellow bar shows the time spend by Analysis Services receiving the stream of data and performing tasks such as encoding/compressing into columns.Ī long blue bar could highlight some opportunities to performance tune the data source, such as increasing compute or a better index strategy. The blue Execute SQL step shows when the query was issued until the first row gets returned from the data source. The bars on the Gantt chart represent how much time was spent on each step for that object. The top chart shows each table/object on the Y-axis. Remember, if a table/partition takes a long time to refresh, this could reflect it has a large number of rows/columns and not necessarily a problem. Please note the location you save the file as this will be needed to tell our Power BI File what to import. The Power BI Report used to analyse this data is configured to work with the XML version of the trace data. Hopefully, you see a series of Job Graph events in the EventClass category/column.īe sure to save the trace as a Trace XML file, rather than a Trace File. Once you know the refresh is complete, you can pause/stop the trace file and save the output into a local file. This activity is what we want to import into the Power BI Report we will use to analyse/visualise the refresh. If successful, SQL Server Profiler will start to show lines of activity after a short pause. Otherwise, if you connect to a Power BI Desktop dataset, just hit the refresh button in Power BI Desktop to initiate the refresh. You can also run a refresh using SSMS (will describe in my next blog) so that you can flexibly pick and choose which tables/partitions get included in the refresh. If you are tracing a Power BI Premium dataset, you can refresh your database the usual way through the web-portal.
If you are connecting to Power BI Premium, this currently can take 20 to 30 seconds to start working.
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The method also works with datasets hosted in a Premium Per User workspace, but will not work against a dataset hosted in a Power BI Pro workspace.īelow is a video walk-through of the exercise.įinally, click the Run button in the lower right-hand corner to start the trace. This technique works against a local Power BI Desktop file, against datasets hosted in a Power BI Premium workspace, AAS and local SSAS instances.
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Import the trace file into a PBIX from step 3 to see the results ( download the PBIX here).Save the trace file as a Trace XML file.Connect to Analysis Services and run a trace using SSMS Profiler.Once you have telemetry events, you can easily visualise the results in Power BI to help you understand how you might optimise future refreshes. There are events related to end-user queries, security events, and of course, events related to dataset refreshes. Imported Power BI models get hosted in an Analysis Services database which emits telemetry for all sorts of interesting activities that take place. Have to love the idea of using Power BI to optimise and improve Power BI. This article shares a technique you can use to capture events fired during a Power BI refresh and use the results in a Power BI report visualise the results. Have you ever wondered why a Power BI dataset refresh was taking so long? And more specifically, how much time did the refresh spend on various sub-tasks that aren’t that visible to you via the web-portal?
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