Marco is a business intelligence consultant and mentor. Figure 2 displays various components in the DAX Studio. This tool only exports the tabular metadata, not the data! Performance Analyzer is the first diagnostic tool to find the slower parts of a report. Even if I sort timings by DAX query, I can see that the longest DAX query took just 34ms: Optimizing the report. Displaying the Performance Analyzer pane In Power BI Desktop select the View ribbon. This allows us to get each individual query base on duration so we could optimize them one by one. If you want more detail you can export the result, put it into DAX Studio to see the DAX Query your visual generates. Data refresh 2. Fast Version. Pingback: Power BI Insights: Partition configurations; Dynamic M parameters; DirectQuery | MSDynamicsWorld.com, Pingback: Using Power BI Dynamic M Parameters In DAX Queries | Pardaan.com, Pingback: Power BI Insights: Partition configurations; Dynamic M parameters; DirectQuery ERP for Hong Kong SME. There is a certain overhead to running a DAX query, so reducing the number of DAX queries needed to get the same amount of data is a good thing. The Performance Analyzer helps us to understand how the performance of the dashboard can be optimized. End of marketing, now let’s go back to the real world. Documentation for this is coming soon, but in the meantime I thought it would be useful to show the additions to DAX query syntax to support them – something you can see for yourself if you take a look at the DAX queries generated by Power BI Desktop using Performance Analyzer. Optimizing IF and SWITCH expressions using variables. Performance Analyser shows slow DAX query in New file but fast in Original File? DAX queries can also be created and run in SQL Server Management Studio (SSMS) and open-source tools like DAX Studio. Hi PBI Community, I am trying to figure out why my DAX query is really slow when i have replicated my solution into a new file? Click Start recording and refresh visuals to load the entire page and get all the queries … You can use the Performance Analyzer in Power BI Desktop to capture the DAX and SQL generated as your DirectQuery model interacts with SQL Server, and then use SQL Server Management Studio and the Query Store to examine the Execution Plans and indexing options. Here’s an example of a query generated by Power BI Desktop where there are three dynamic M parameters … If you want to learn more about how to optimize your DAX code, you can use the following links: Keep me informed about BI news and upcoming articles with a bi-weekly newsletter (uncheck if you prefer to proceed without signing up for the newsletter), Send me SQLBI promotions (only 1 or 2 emails per year). Reporting clients construct DAX queries whenever a field is placed on a report surface, or a whenever a filter or calculation is applied. Now it is a query language used in Tabular Databases. We described it previously in the Introducing the Power BI Performance Analyzer article. Performance Analyzer shows the time taken by each visual to load in Power BI report. Everything else Identifying which one of these is the problem is the first step to improving performance. is a separate DAX query. Visualization rendering 4. Reporting clients construct DAX queries whenever a field is placed on a report surface, or a whenever a filter or calculation is applied. My Power BI report is slow: what should I do? To enable the Performance Analyzer head over to the View tab in Power BI and tick the “Performance Analyzer” check box: ... DAX query, Visual display, and Other. Optimizing & Analyzing DAX Query Plans. Every click will switch the order (ascending/descending). 1 Use DAX studio and Power BI desktop. Last year the Performance Analyzer was introduced to help debug your reports Here you can see the time it takes to render each visual in your report page. Performance Analyzer is an easy and accessible way to track the performance of a … So, DAX queries are not a problem here, as you see that both these visuals took only 4ms to execute their DAX query. The DAX Tools video course teaches how to use three popular tools to write and optimize DAX: DAX Studio, VertiPaq Analyzer, and Analyze in Excel for Power BI Desktop. Power BI performance issues are often a result of sub-optimal Data Analysis Expressions (DAX) language. The dynamic M parameters are set using a DEFINE statement and the new MParameter keyword. The Performance Analyzer feature provides a way for the report designer to determine the clock times of the processes that occur when data is refreshed and loaded into a Power BI visual. DAX Query – The length of time it takes for Analysis Service to run the query Visual Display – How long it takes for the visual to draw them on the screen (including anything like retrieving web images or geocoding) Other – Covering Background Processing like … One of the popular features is ‘Load Perf Data’ which allows DAX studio to import the JSON file from Power BI Performance Analyzer. By choosing the descending order, you can see the slowest query at the top, also identifying the culprit in the Visual column. I decided to use DAX studio because it allows me to just double click on the query I want, and it is more useful when working with multiple visuals. As I’m sure you’ve guessed by now I’m a big fan of dynamic M parameters in Power BI. We described it previously in the Introducing the Power BI Performance Analyzer article. DAX Studio helps you navigate through the performance metrics; it improves the productivity in executing one or more of the collected queries, reducing the number of copy/paste operations required. The two most common ones are to use DAX studio as I am showing here, another one is to use the performance analyzer and expanding the visual directly on then copy the query from there. Learn how your comment data is processed. End of marketing, now let’s go back to the real world. We are happy to introduce the capability to analyze queries beyond visuals with change detection being the first of this type. This article describes how to use and interpret the information provided by the Power BI Performance Analyzer, finding the bottlenecks in slow reports. Model calculations 3. DAX means Data Analysis Expressions and it is a simpler query language than MDX. After running the analysis, you can interpret the results provided by the Performance Analyzer in Power BI. You can also use external tools for getting report metrics, such as DAX Studio. DAX started as a function language and an extension of Excel in Power Pivot. The button saves a file named PowerBIPerformanceData.JSON by default. With DAX queries, you can query and return data defined by a table expression. The result looks like: // DAX Query. Performance Analyzer is a new feature added to the Microsoft Power BI with May 2019 Update. So if there is a DLL rather than the whole of Office that would enable the feature, that would be great to know as well. Here’s an example of how to do this with a table constructor: I’ll admit I haven’t tried this yet, but you should be able to do some really cool stuff with this in a paginated report connected to a DirectQuery dataset if it contains dynamic M parameters. In order to use the DAX Studio feature, first you must export the data collected by Performance Analyzer in Power BI Desktop. DAX is a collection of functions, operators, and constants that you can use in a formula, or expression, to calculate and return one or more values. Read more, This article describes possible optimization approaches to improve the performance of nested iterators in DAX. If you double click the text in the Query column, the DAX code in the selected row is copied into the query window of DAX Studio, including an initial comment with the metrics of the query collected in the JSON file. Each section represents a different component of the query: The DAX query is the amount of time it took to run the query; Get BI news and original content in your inbox every 2 weeks! With DAX queries, you can query and return data defined by a table expression. Enclose code in comments with
 to preserve indentation. DAX Studio allows you to write DAX queries and test your DAX measures in an environment where you can check the results and measure performance. I find that our Enterprise MS Office takes a year or more to get new features. The DAX query used by Microsoft for analysing performance results. DAX is super-fast, you can use it to query billions of rows in less than one second. Stated more simply, DAX helps you create new information from data already in your model. Version 2.9.0 of DAX Studio introduced a new feature to import the information captured by the Power BI Performance Analyzer. To open the performance analyzer, we'll navigate to the view tab and select performance analyzer. Introducing the Power BI Performance Analyzer. I hope that you found this interesting and could possibly use it. The name of the parameter here is the same as the name of the parameter defined in the Power Query Editor; one thing to point out is that if your M parameter name contains a space, it should be surrounded by single quotes. Now every action we take in this report will be timed until we click Stop recording. Thanks for reading. Performance Analyzer is a quite powerful built-in feature within Power BI, that gives you a good insight on what’s going on behind the scenes. As a general rule the more visuals you put on a report page the slower it’s going to get. You can easily tell exactly what visuals your stress points are coming from. DAX is a collection of functions, operators, and constants that you can use in a formula, or expression, to calculate and return one or more values. All these tools are free and open-source. In most cases, if a report is slow it’s an issue with step 2, your data model. The Performance Analyzer allows you to see the time it takes to run DAX queries for each visual and slicer on a report page. The copy query show the DAX Query structure if it's available! I know DAX reasonably well, I'd hope, but still can't quite see what it's doing - but more to the point, I don't need to (the performance analyzer is easy to use and transparent in its own right). One of the popular features is ‘Load Perf Data’ which allows DAX studio to import the JSON file from Power BI Performance Analyzer. He first started working on Analysis Services in 1998, back when Analysis Services was known as OLAP Services. You can use DAX Studio to capture them (as described in Capturing Power BI queries using DAX Studio), but the Performance Analyzer integrated in Power BI is simpler and provides a few insights about the time consumed in other activities, such as the rendering time of any visuals. Improve Power BI Performance by Optimizing DAX. It would be real helpful if you could say how to get the feature you are describing. DAX queries can also be created and run in SQL Server Management Studio (SSMS) and open-source tools like DAX Studio. Read more, This article describes how variables should be used in DAX expressions involving IF and SWITCH statements in order to improve performance. DAX is super-fast, you can use it to query billions of rows in less than one second. The Power BI Performance Analyzer is a feature that simplifies the collection of DAX queries generated by Power BI. It also shows how long it takes to render the visual and for “other” activities such as web service calls and waiting for other blocking visual queries. Version 2.9.0 of DAX Studio introduced a new feature to import the information captured by the Power BI Performance Analyzer. Any questions or comments please let me know. Use Vertipaq Analyzer against your open Power BI model or any tabular model. Besides there are 3 options under the each visual-DAX Query – It gives the total time taken to execute the DAX query. The key point to take away from this is that diagnosing basic report performance is no longer a mystery. The performance analyzer has been helping authors to improve their reports since May 2019. ie which version of Excel etc. Performance Analyzer (Featured included in May 2019, only for Power Bi Desktop) In Power BI Desktop, Performance Analyzer is the best way to review and evaluate each of your report elements, such as visuals and DAX formulas, are performing. Besides there are 3 options under the each visual-DAX Query – It gives the total time taken to execute the DAX query. All rights are reserved. It helps us in understanding how the performance of the visuals can be optimized. You can change the file name to save, but we suggest keeping the JSON extension. Documentation for this is coming soon, but in the meantime I thought it would be useful to show the additions to DAX query syntax to support them – something you can see for yourself if you take a look at the DAX queries generated by Power BI Desktop using Performance Analyzer. DEFINE VAR __DS0FilterTable = FILTER( KEEPFILTERS(VALUES('Saudi Arabia Provinces'[Province])), Once the file is loaded, you see the PBI Performance pane in DAX displaying all the queries captured by the Power BI Performance Analyzer. In my mind, there are 4 main areas where there might be a slowdown: 1. Once selected, the Performance Analyzer is displayed in its own pane, to the right of the report canvas. Query folding is when M code in PowerQuery is pushed down to the source system, often via a SQL query. MDX or Multidimensional Data Expressions is the language used for the Analysis Services Multidimensional Databases. In the Show area of the View ribbon you can select the checkbox next to Performance Analyzer to display the Performance Analyzer pane. If you have enabled multi-select on your dynamic M parameter, you will need to pass a table of values to it in your DAX query. You can use the Performance Analyzer in Power BI Desktop to capture the DAX and SQL generated as your DirectQuery model interacts with SQL Server, and then use SQL Server Management Studio and the Query Store to examine the Execution Plans and indexing options. To use the performance analyzer, we simply need to click Start recording. 2004-2020 © SQLBI. Use Performance Analyzer (as shown here) to determine which visuals on your report are the cause of slow performance – there’s no point redesigning visuals that are fast anyway. DAX Tools Video Course. Once the PowerBIPerformanceData.JSON file is imported, the PBI Performance pane in DAX displays all the queries captured by the Power BI Performance Analyzer. Maybe in a future post…. Performance Analyzer breaks it down to DAX Query, Visual display and Other. We will start by opening the report and enabling the performance analyzer. Performance analyzer results were as follows: Total Orders 6, 43,844 milliseconds, 44 seconds Nope, no real improvement (likely because DAX already optimized out this redundancy). At this point you can switch to DAX Studio, click the Load Perf Data button and select the JSON file you exported from Power BI. ‎07-13-2019 08:22 PM. The Power BI Performance Analyzer is a feature that simplifies the collection of DAX queries generated by Power BI. As a report developer, it can be frustrating a report developer, knowing that somethingis slow, but not being able to put your finger on it. We'll start by selecting the fee earner and value fields from the transaction data table. The Performance Analyzer in Power BI is an awesome tool when it comes to pin-pointing slow visuals and understanding your report performance. To enable the Performance Analyzer head over to the View tab in Power BI and tick the “Performance Analyzer” check box: ... DAX query, Visual display, and Other. At this point you can run the query again, enabling Query Plan and Server Timings to collect more details about why the query is slow. It definitely took me longer to write this blog post than what it did to quickly get the DAX query, put it into DAX Studio and then make the required changes. Here’s an example of a query generated by Power BI Desktop where there are three dynamic M parameters defined: DateParameter, TextParameter and NumericParameter. Use the Power BI Performance Analyzer. Because you are probably interested in detecting the slowest DAX query, you can just click on the Query Ms column sorting the queries by execution time. Chris, thank you. July 10, 2020 6 Minutes to Read. Is this of any use? Performance Analyzer shows the time taken by each visual to load in Power BI report. Tabular Databases started in SQL Server 2008 R2 and … Documentation for this is coming soon, but in the meantime I thought it would be useful to show the additions to DAX query syntax to support them – something you can see for yourself if you take a look at the DAX queries generated by Power BI Desktop using Performance Analyzer. Power BI performance issues are often a result of sub-optimal Data Analysis Expressions (DAX) language. Let’s turn on Performance Analyzer and see what is going on under the hood in the original report version: ... Once it gets bigger than that it is important to either work on your DAX code, ... Thankfully, there is a tool to identify the difference: the Power BI Performance Analyzer. By downloading the file(s) you are agreeing to our Privacy Policy and accepting our use of cookies. Once the PowerBIPerformanceData.JSON file is imported, the PBI Performance pane in DAX displays all the queries captured by the Power BI Performance Analyzer. Capturing SQL Queries Generated By A Power BI DirectQuery Dataset, Power BI Insights: Partition configurations; Dynamic M parameters; DirectQuery | MSDynamicsWorld.com, Using Power BI Dynamic M Parameters In DAX Queries | Pardaan.com, Power BI Insights: Partition configurations; Dynamic M parameters; DirectQuery ERP for Hong Kong SME, Using Small Multiples In Power BI To Improve Report Performance, Keep The Existing Data In Your Power BI Dataset And Add New Data To It Using Incremental Refresh, Understanding The "The key didn't match any rows in the table" Error In Power Query In Power BI Or Excel, Make Your Power BI Report Run Faster By Showing The Same Data In Fewer Visuals. Every visual in a page within a Power BI report has a corresponding DAX query that is sent to the data model the report is connected to, so each chart, table, filter, etc.  Analyzer against your open Power BI year or more to get accepting our use of cookies also! 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