We ran into a performance issue with a Report Definition in one of our Pega applications. The report was getting slower as data volume increased, and it started affecting the user experience during peak usage.
At first, everything looked normal in the setup. But once we checked deeper, a few things stood out. The filters were not properly optimized, and some of the properties used in conditions were not exposed for efficient database access.
We also noticed that the report was pulling more columns than actually needed. Kind of unnecessary load, honestly, but easy to miss when you’re building quickly.
Here’s what we changed:
We reduced the selected columns to only what was required on the UI. Then we adjusted the filter conditions to use indexed/exposed properties. We also reviewed the joins and removed one unnecessary class join that was slowing things down.
After these changes, the report response time improved noticeably. Not perfect from the start, but much more stable under load.
Ever noticed how small configuration details end up making the biggest difference in performance?