Optimizing the performance of Qlik Sense sheets and visualizations is crucial for creating fast, responsive apps. Here are 11 simple tips to help you improve sheet performance:
1. Avoid Using If() Function
The If() function, especially inside aggregations, slows down performance as it gets evaluated for every record. Use set analysis instead, which is faster and can be cached for better efficiency.
2. Avoid Aggregating Fields from Different Tables
If you use fields from different tables in an aggregation, Qlik Sense first has to join the tables, which slows things down. Keep fields in the same table for faster calculations.
3. Limit Use of Aggr() Function
The Aggr() function can slow things down if overused. Use it only when necessary, and avoid nesting it to prevent performance issues.
4. Use Set Analysis for Filtering
Set analysis is a better option for filtering data compared to If() or string comparisons. It’s faster and more efficient, especially for large datasets.
5. Avoid String Comparisons
String comparisons like Match() and Pick() can slow the process. Use numeric flags in your script and set analysis instead, as they are more efficient.
6. Add Calculation Conditions to Visualizations
For visualizations with a lot of data, use calculation conditions to only load them after certain selections are made. This prevents large, slow calculations from happening right away.
7. Pre-calculate Measures in the Script
Calculate measures like margins or sums in the script whenever possible. This reduces the need for complex calculations on the sheet, speeding things up.
8. Limit Columns in Tables
Keep tables to fewer than 15 columns and use conditions to control when they load. If a table has many fields, consider breaking it into smaller ones.
9. Reduce Number of Objects on Sheets
Too many objects on a sheet slow down performance because each object needs to calculate on every selection. Use fewer objects or group them for better performance.
10. Use Numeric Flags for Set Analysis
Instead of using text-based conditions, create numeric flags in the script. These flags work faster when filtering with set analysis.
11. Use Master Items for Consistency
Master items allow you to reuse expressions, ensuring consistent and faster calculations. This also helps with caching, improving performance.
Following these best practices will make your Qlik Sense sheets faster and more responsive. By avoiding heavy calculations, using set analysis, and limiting objects and columns, you’ll ensure better performance and a smoother user experience.
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