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We should be able to make that gap estimator smarter. It works well for sparse data when there are many gaps, but for dense data with no gaps, it looks for too long for gaps.
An easy thing to dd is for re_int_histogram to keep track of how many unique keys are set. If that is more or equal to the full range, then there can be no gaps, so we can early-out.
The text was updated successfully, but these errors were encountered:
emilk
changed the title
Time panel very slow in VRS example on log_tick timeline
Time panel gap-detector very slow in VRS example on log_tick timeline
Aug 5, 2024
https://github.com/rerun-io/cpp-example-vrs
On some timelines (e.g.
log_tick
):We should be able to make that gap estimator smarter. It works well for sparse data when there are many gaps, but for dense data with no gaps, it looks for too long for gaps.
An easy thing to dd is for
re_int_histogram
to keep track of how many unique keys are set. If that is more or equal to the full range, then there can be no gaps, so we can early-out.The text was updated successfully, but these errors were encountered: