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Aggregation, executed on a table projection, is much slower, than on an imported table #696
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When you run a projection with default options, you get a row-wise lazily fetched result set. It then takes some time to fetch such data. You can improve timings using |
These options make the query faster, but still it's much slower:
It depends on the query - https://github.com/modin-project/modin/blob/master/modin/experimental/core/execution/native/implementations/hdk_on_native/partitioning/partition_manager.py#L261 |
I don't see such a difference. Here is what I got for this test:
There is ~600ms difference and according to debug timers, it is all due to metadata computation for the projection result. Can you check debug timers to reveal what causes the difference in your case? (you can add |
Debug timers:
|
Code to reproduce:
Output:
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