ScalarUDFImpl invoke improvements #13507
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…invoke is passed the return type created for the udf instance
alamb
commented
Nov 20, 2024
| // evaluate the function | ||
| let output = self.fun.invoke_batch(&inputs, batch.num_rows())?; | ||
| let output = self.fun.invoke_with_args(ScalarFunctionArgs { | ||
| args: inputs, |
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the whole point of this PR is to pass in inputs here rather than inputs.as_ref
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Eventually we should probably consider doing the same thing for evaluate 🤔
This was referenced Nov 21, 2024
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Can we have one example function doing that, with some tests proving this indeed works? |
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Just OCD following up here, there is an example / tests in this PR: |
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Builds on #13290 from @joseph-isaacs
Which issue does this PR close?
ScalarUDFImpl::invoke_with_argsto support passing the return type created for the udf instance #13290Rationale for this change
If we are going to change the signature of
invokeI would to make it possible in the future to reuse allocations -- at the moment the API requires creating new arrays even when the input array is not used because the functions get the input as&[ColumnarValues]meaning they don't own them (the caller retains a reference)What changes are included in this PR?
Change ScalarFunctionArgs to pass by value
1,
Are these changes tested?
Are there any user-facing changes?