Power BI performance issues are often a result of sub-optimal Data Analysis Expressions (DAX) language. One of the popular features is ‘Load Perf Data’ which allows DAX studio to import the JSON file from Power BI Performance Analyzer. Performance Analyser shows slow DAX query in New file but fast in Original File? Chris, thank you. Version 2.9.0 of DAX Studio introduced a new feature to import the information captured by the Power BI Performance Analyzer. Marco is a business intelligence consultant and mentor. We'll start by selecting the fee earner and value fields from the transaction data table. 2004-2020 © SQLBI. 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. DAX Tools Video Course. The Performance Analyzer helps us to understand how the performance of the dashboard can be optimized. We will start by opening the report and enabling the performance analyzer. Improve Power BI Performance by Optimizing DAX. I hope that you found this interesting and could possibly use it. After running the analysis, you can interpret the results provided by the Performance Analyzer in Power BI. Once the PowerBIPerformanceData.JSON file is imported, the PBI Performance pane in DAX displays all the queries captured by the Power BI Performance Analyzer. Version 2.9.0 of DAX Studio introduced a new feature to import the information captured by the Power BI Performance Analyzer. DAX is super-fast, you can use it to query billions of rows in less than one second. DAX is super-fast, you can use it to query billions of rows in less than one second. So, DAX queries are not a problem here, as you see that both these visuals took only 4ms to execute their DAX query. Query folding is when M code in PowerQuery is pushed down to the source system, often via a SQL query. They’re easy to use in Power BI Desktop but what if you want to use them in your own DAX queries? 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. 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). The Power BI Performance Analyzer is a feature that simplifies the collection of DAX queries generated by Power BI. 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. Read more, This article describes possible optimization approaches to improve the performance of nested iterators in DAX. Let’s turn on Performance Analyzer and see what is going on under the hood in the original report version: In most cases, if a report is slow it’s an issue with step 2, your data model. Performance Analyzer is the first diagnostic tool to find the slower parts of a report. Click Start recording and refresh visuals to load the entire page and get all the queries … Read more, This article describes how variables should be used in DAX expressions involving IF and SWITCH statements in order to improve performance. ‎07-13-2019 08:22 PM. With DAX queries, you can query and return data defined by a table expression. Reporting clients construct DAX queries whenever a field is placed on a report surface, or a whenever a filter or calculation is applied. Tabular Databases started in SQL Server 2008 R2 and … 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. Model calculations 3. Once the file is loaded, you see the PBI Performance pane in DAX displaying all the queries captured by the Power BI Performance Analyzer. July 10, 2020 6 Minutes to Read. 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. The button saves a file named PowerBIPerformanceData.JSON by default. Figure 2 displays various components in the DAX Studio. Everything else Identifying which one of these is the problem is the first step to improving performance. The key point to take away from this is that diagnosing basic report performance is no longer a mystery. In my mind, there are 4 main areas where there might be a slowdown: 1. He first started working on Analysis Services in 1998, back when Analysis Services was known as OLAP Services. Read more. Once selected, the Performance Analyzer is displayed in its own pane, to the right of the report canvas. Optimizing & Analyzing DAX Query Plans. 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). As I’m sure you’ve guessed by now I’m a big fan of dynamic M parameters in Power BI. You can change the file name to save, but we suggest keeping the JSON extension. When a single user opens a report page with six visuals and 14 filters, 20 DAX queries are being sent to the back-end engine to retrieve the relevant data for the visual. ie which version of Excel etc. The dynamic M parameters are set using a DEFINE statement and the new MParameter keyword. 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. 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. 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. DEFINE VAR __DS0FilterTable = FILTER( KEEPFILTERS(VALUES('Saudi Arabia Provinces'[Province])), 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. This article describes how to use and interpret the information provided by the Power BI Performance Analyzer, finding the bottlenecks in slow reports. Visualization rendering 4. DAX queries can also be created and run in SQL Server Management Studio (SSMS) and open-source tools like DAX Studio. Performance Analyzer is a new feature added to the Microsoft Power BI with May 2019 Update. Performance Analyzer shows the time taken by each visual to load in Power BI report. In the Show area of the View ribbon you can select the checkbox next to Performance Analyzer to display the Performance Analyzer pane. Now it is a query language used in Tabular Databases. 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. You can also use external tools for getting report metrics, such as DAX Studio. 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. The DAX query used by Microsoft for analysing performance results. DAX started as a function language and an extension of Excel in Power Pivot. 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 a query generated by Power BI Desktop where there are three dynamic M parameters defined: DateParameter, TextParameter and NumericParameter. 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. Stated more simply, DAX helps you create new information from data already in your model. Now every action we take in this report will be timed until we click Stop recording. 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. If you want more detail you can export the result, put it into DAX Studio to see the DAX Query your visual generates. Any questions or comments please let me know. 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. Maybe in a future post…. 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. Performance Analyzer breaks it down to DAX Query, Visual display and Other. The copy query show the DAX Query structure if it's available! 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? 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. 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. Besides there are 3 options under the each visual-DAX Query – It gives the total time taken to execute the DAX query. With DAX queries, you can query and return data defined by a table expression. My Power BI report is slow: what should I do? 1 Use DAX studio and Power BI desktop. Introducing the Power BI Performance Analyzer. 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. This tool only exports the tabular metadata, not the data! 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. The result looks like: // DAX Query. Besides there are 3 options under the each visual-DAX Query – It gives the total time taken to execute the DAX query. It helps us in understanding how the performance of the visuals can be optimized. 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. The performance analyzer has been helping authors to improve their reports since May 2019. All these tools are free and open-source. Enclose code in comments with
 to preserve indentation. Is this of any use? Fast Version. 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. DAX means Data Analysis Expressions and it is a simpler query language than MDX. Reporting clients construct DAX queries whenever a field is placed on a report surface, or a whenever a filter or calculation is applied. Enter your email address to follow this blog and receive notifications of new posts by email. Every click will switch the order (ascending/descending). Performance Analyzer is an easy and accessible way to track the performance of a … Use Vertipaq Analyzer against your open Power BI model or any tabular model. Each section represents a different component of the query: The DAX query is the amount of time it took to run the query; As a general rule the more visuals you put on a report page the slower it’s going to get. 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. To open the performance analyzer, we'll navigate to the view tab and select performance analyzer. End of marketing, now let’s go back to the real world. Using DAX Studio in conjunction with Vertipaq Analyzer Marco shows us how we can discover and explore the key statistics about our models. Once the PowerBIPerformanceData.JSON file is imported, the PBI Performance pane in DAX displays all the queries captured by the Power BI Performance Analyzer. We described it previously in the Introducing the Power BI Performance Analyzer article. Power BI performance issues are often a result of sub-optimal Data Analysis Expressions (DAX) language. 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. By downloading the file(s) you are agreeing to our Privacy Policy and accepting our use of cookies. 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. 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. You can easily tell exactly what visuals your stress points are coming from. Even if I sort timings by DAX query, I can see that the longest DAX query took just 34ms: Optimizing the report.  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. Learn how your comment data is processed. By choosing the descending order, you can see the slowest query at the top, also identifying the culprit in the Visual column. MDX or Multidimensional Data Expressions is the language used for the Analysis Services Multidimensional Databases. We are happy to introduce the capability to analyze queries beyond visuals with change detection being the first of this type. Displaying the Performance Analyzer pane In Power BI Desktop select the View ribbon. 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. ... 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. The Power BI Performance Analyzer is a feature that simplifies the collection of DAX queries generated by Power BI. Data refresh 2. The Performance Analyzer allows you to see the time it takes to run DAX queries for each visual and slicer on a report page. 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. The Performance Analyzer in Power BI is an awesome tool when it comes to pin-pointing slow visuals and understanding your report performance. All rights are reserved. I find that our Enterprise MS Office takes a year or more to get new features. 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. This site uses Akismet to reduce spam. It would be real helpful if you could say how to get the feature you are describing. 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. 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. 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. This allows us to get each individual query base on duration so we could optimize them one by one. 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. 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 … The Performance Analyzer feature is now available in the Power BI desktop and that’s what I’m going to show you in this tutorial.Using the Performance Analyzer, you can find out how your report elements, such as visuals and DAX formulas, are performing. is a separate DAX query. Use the Power BI Performance Analyzer. One of the popular features is ‘Load Perf Data’ which allows DAX studio to import the JSON file from Power BI Performance Analyzer. Here’s an example of a query generated by Power BI Desktop where there are three dynamic M parameters … 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. Performance Analyzer shows the time taken by each visual to load in Power BI report. To use the performance analyzer, we simply need to click Start recording. In order to use the DAX Studio feature, first you must export the data collected by Performance Analyzer in Power BI Desktop. Get BI news and original content in your inbox every 2 weeks! Thanks for reading. End of marketing, now let’s go back to the real world. But, the code is shorter and cleaner so that's a win! 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). DAX queries can also be created and run in SQL Server Management Studio (SSMS) and open-source tools like DAX Studio. We described it previously in the Introducing the Power BI Performance Analyzer article.  Every 2 weeks of these is the first diagnostic tool to find slower... 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