Optimize date_bin (2x faster) #10215
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As mentioned in the docs for `PrimaryArray::unary` it is faster to apply an infallible operation across both valid and invalid values, rather than branching at every value. 1) Make stride function infallible 2) Use `unary` method This gives this speedup on my machine: Before: 22.345 µs After: 10.558 µs So around 2x faster
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alamb
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Apr 25, 2024
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This is beautiful @simonvandel -- thank you very much 😍 -- it makes a lot of sense to check the option once per batch rather than once per row.
I filed #10228 to track this improvement.
really nice 🥇
Dandandan
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Apr 25, 2024
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Nice work, thank you @simonvandel |
ccciudatu
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Apr 26, 2024
* add date_bin benchmark * optimize date_bin As mentioned in the docs for `PrimaryArray::unary` it is faster to apply an infallible operation across both valid and invalid values, rather than branching at every value. 1) Make stride function infallible 2) Use `unary` method This gives this speedup on my machine: Before: 22.345 µs After: 10.558 µs So around 2x faster
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Which issue does this PR close?
Closes #10228
Rationale for this change
date_bincould be faster.What changes are included in this PR?
As mentioned in the docs for
PrimaryArray::unaryit is faster to apply an infallible operation across both valid and invalid values, rather than branching at every value.unarymethodThis gives this speedup on my machine:
Before: 22.345 µs
After: 10.558 µs
So around 2x faster
Are these changes tested?
Yes, existing tests.
Are there any user-facing changes?
The
date_binfunction runs faster.