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compute_decimal_op_dyn_scalar should not cast lhs array to decimal array #5465

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merged 1 commit into from
Mar 4, 2023

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viirya
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@viirya viirya commented Mar 3, 2023

Which issue does this PR close?

Closes #5464.

Rationale for this change

What changes are included in this PR?

Are these changes tested?

Are there any user-facing changes?

@github-actions github-actions bot added the physical-expr Physical Expressions label Mar 3, 2023
if let ScalarValue::Decimal128(Some(v_i128), _, _) = $RIGHT {
Ok(Arc::new(paste::expr! {[<$OP _dyn_scalar>]}(ll, v_i128)?))
Ok(Arc::new(paste::expr! {[<$OP _dyn_scalar>]}($LEFT, v_i128)?))
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it makes sense to me not to cast the left hand side

In general, now that the dyn kernels are more complete, I wonder if we need the specific decimal macros at all 🤔

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alamb commented Mar 3, 2023

Thank you @viirya

@alamb alamb merged commit 132ae42 into apache:main Mar 4, 2023
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ursabot commented Mar 4, 2023

Benchmark runs are scheduled for baseline = e985207 and contender = 132ae42. 132ae42 is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Skipped ⚠️ Benchmarking of arrow-datafusion-commits is not supported on ec2-t3-xlarge-us-east-2] ec2-t3-xlarge-us-east-2
[Skipped ⚠️ Benchmarking of arrow-datafusion-commits is not supported on test-mac-arm] test-mac-arm
[Skipped ⚠️ Benchmarking of arrow-datafusion-commits is not supported on ursa-i9-9960x] ursa-i9-9960x
[Skipped ⚠️ Benchmarking of arrow-datafusion-commits is not supported on ursa-thinkcentre-m75q] ursa-thinkcentre-m75q
Buildkite builds:
Supported benchmarks:
ec2-t3-xlarge-us-east-2: Supported benchmark langs: Python, R. Runs only benchmarks with cloud = True
test-mac-arm: Supported benchmark langs: C++, Python, R
ursa-i9-9960x: Supported benchmark langs: Python, R, JavaScript
ursa-thinkcentre-m75q: Supported benchmark langs: C++, Java

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viirya commented Mar 4, 2023

Thanks @alamb

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alamb commented Mar 4, 2023

Thanks @alamb

👍 -- I am get somewhat anxious when the PR / merge backlog gets large and so then I try and merge anything that looks ready to keep if from growing bigger 😅

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compute_decimal_op_dyn_scalar should not cast lhs array to decimal array
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