Caching visualisations for slow measures?

Question

Hello,&nbsp;Thinking outloud some of my visualisations take a long time to load due to slow mesaures. However writing code with measures is sometimes much simpler (and therefore has less business continuity risk) than other approaches such as pre-calculated calculated columns. So I was wondering if as a compromise it might be possible to stick with the slow measures but have power bi cache all the visualisations for all possible permutations of slicer / cross-filtering selections?&nbsp;Has anyone heard of that being an option?&nbsp;Thank you,&nbsp;PW

idrissshatila · Answer

Hello&nbsp;PowerWhy&nbsp;,
&nbsp;
sometimes it's because you have too many objects and measure that it waits for each to load, so you need to check which is keeping the visuals from loading.

anonymous · Answer

Hi&nbsp;PowerWhy&nbsp;
&nbsp;
Caching all visualizations for every possible permutation of slicer and cross-filtering selections in Power BI isn't a built-in feature. However, there are some strategies you can consider to improve performance while maintaining the simplicity of using measures:

Aggregations: Use aggregations to pre-calculate and store summary data. This can help speed up queries and reduce the load on your measures. You can also pre-aggregate the data at the data source, which can reduce the data loaded into Power BI.&nbsp;

Optimize DAX Measures: Review and optimize your DAX measures to ensure they are as efficient as possible. Sometimes, small changes in the DAX code can lead to significant performance improvements.

Pre-Calculated Tables: While you mentioned the risk associated with pre-calculated columns, using pre-calculated tables for certain complex calculations can sometimes be a good compromise.

Performance Analyzer: Use the Performance Analyzer tool in Power BI to identify which visuals and measures are causing the most delay and focus on optimizing those.&nbsp;

While these strategies don't directly cache all permutations, they can help improve the overall performance of your Power BI reports.
&nbsp;
Meanwhile,&nbsp;limiting the number of visuals and measures on a report page can indeed improve performance.&nbsp;Each visual on a report page generates its own query. Fewer visuals mean fewer queries, which can reduce the overall load on the dataset and improve performance.&nbsp;
&nbsp;
In addition, Power BI does have some&nbsp;caching mechanisms to improve performance, but they are different from what you want. Here are some documentation if you would like to learn more:
Query caching in Power BI Premium - Power BI | Microsoft Learn
https://data-mozart.com/cache-me-if-you-can-understanding-different-cache-types-in-power-bi/
&nbsp;
Best Regards,JingIf this post helps, please Accept it as Solution to help other members find it. Appreciate your Kudos!

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