Data Explorer: Request profiles one at a time for larger tables #9096
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E2E Tests 🚀 |
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I'll go ahead and merge this — we can continue to iterate on the details as we get feedback from users working with large datasets. |
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These are some changes to make profile rendering a little smoother. Before we were batching 4 profiles at a time, but this changes to 1-at-a-time for over 1 million rows (below that they the in-window profiles are requested in a single big batch):
I also noticed that the background task queue in Python was using 5 x # CPUs by default and for compute heavy profile computation this can result in inefficient context switching when computing many profiles. Now the number of workers is equal to the number of logical CPU cores.
Before:
Screen.Recording.2025-08-19.at.16.31.58.mov
After:
Screen.Recording.2025-08-19.at.16.30.45.mov
Release Notes
New Features
Bug Fixes
QA Notes
Check data frames with at least 10 million rows to observe the sparkline pop-in performance.
@:data-explorer