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Total records in the source table used in power bi: 283Million (data for 6 quarters including 2024-Q2)
Records in 2024-Q2: 20 Million
Datasource: Databricks
Input method: Direct query method.
Problem:
Card showing sum aggregate of sales column for 2024-Q2 takes 60 seconds refresh upon change in slicers in power BI.
Please help me on this.
Solved! Go to Solution.
Hi @sharath_15
Here are a few steps to help improve the performance:
Optimize DAX Queries: Ensure that the DAX query used for the card visual is optimized for performance. Avoid using complex calculations directly in the visual and consider pre-calculating measures if possible. For more insights on optimizing DAX, you might find this documentation helpful:
Improve Power BI Performance by Optimizing your DAX | by MAQ Software | MAQ Software | Medium
Optimizing DAX expressions involving multiple measures - SQLBI
Use Performance Analyzer: The Performance Analyzer in Power BI Desktop can help identify which part of your report is causing the delay. It can provide insights into the DAX query processing time, visual display time, and other factors contributing to the slow performance. Here's how you can use it: Use Performance Analyzer to examine report element performance in Power BI Desktop - Power BI | Micr...
Best Regards,
Jayleny
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @sharath_15
Here are a few steps to help improve the performance:
Optimize DAX Queries: Ensure that the DAX query used for the card visual is optimized for performance. Avoid using complex calculations directly in the visual and consider pre-calculating measures if possible. For more insights on optimizing DAX, you might find this documentation helpful:
Improve Power BI Performance by Optimizing your DAX | by MAQ Software | MAQ Software | Medium
Optimizing DAX expressions involving multiple measures - SQLBI
Use Performance Analyzer: The Performance Analyzer in Power BI Desktop can help identify which part of your report is causing the delay. It can provide insights into the DAX query processing time, visual display time, and other factors contributing to the slow performance. Here's how you can use it: Use Performance Analyzer to examine report element performance in Power BI Desktop - Power BI | Micr...
Best Regards,
Jayleny
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
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