![]() ![]() The load test effects are visible in the premium capacity metrics app's Datasets page.Using SQL Server Profiler, you can connect to the XMLA endpoints of the capacities being measured, to see the queries being executed.You can see renders happening in real time on your browser.Report authors can understand the user load effect, as measured with Power BI desktop's Performance Analyzer.Capacity administrators can get a better understanding of how many users their capacity can handle in a given time frame.Here are some examples of how you can use the planning tool. When running the tool, be mindful of the existing load on your capacities and make sure not to run load tests during top usage times. The tool generates load on a capacity by continuously rendering each report with new filter values (to prevent unrealistically good performance due to report caching), until the token required for authenticating the tool against the service, expires. It uses PowerShell to create automated load tests against your capacities, and lets you choose which reports to test, and how many concurrent users to simulate. The Power BI Capacity Load Assessment Tool can help you understand how much user load your capacity can handle. This article is designed to make capacity planning for Power BI embedded analytics easier, by introducing the Power BI Capacity Load Assessment Tool, created for automating load testing for Power BI embedded analytics capacities ( A, EM or P SKUs). Additional usage patterns that are hard to predict.The hourly distribution of the usage of your application.The number and complexity of required queries.Some of the things to take into consideration when planning your capacity are: This is because this calculation is based on multiple parameters, some of them hard to predict. ![]() Calculating what type of capacity is needed for a Power BI embedded analytics deployment, can be complicated. ![]()
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