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perf: Optimize factorial scalar path#19949

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Jefffrey merged 2 commits intoapache:mainfrom
kumarUjjawal:perf/factorial_scalar_path
Jan 24, 2026
Merged

perf: Optimize factorial scalar path#19949
Jefffrey merged 2 commits intoapache:mainfrom
kumarUjjawal:perf/factorial_scalar_path

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@kumarUjjawal
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Which issue does this PR close?

Rationale for this change

The factorial function currently converts scalar inputs to arrays before processing. Adding a scalar fast path avoids this overhead and improves performance.

What changes are included in this PR?

  1. Refactored invoke_with_args to use match statement for handling both scalar and array inputs
  2. Inlined array processing logic, removing make_scalar_function usage.
Type Before After Speedup
factorial_scalar 244 ns 102 ns 2.4x

Are these changes tested?

Yes, covered by existing SLT tests:

  • scalar.slt lines 461-477
  • math.slt line 797

Are there any user-facing changes?

@github-actions github-actions Bot added the functions Changes to functions implementation label Jan 23, 2026
6402373705728000,
121645100408832000,
2432902008176640000,
]; // if return type changes, this constant needs to be updated accordingly
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Would be good to keep this comment

@Jefffrey Jefffrey added this pull request to the merge queue Jan 24, 2026
Merged via the queue into apache:main with commit 05802e2 Jan 24, 2026
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@Jefffrey
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Thanks @kumarUjjawal

de-bgunter pushed a commit to de-bgunter/datafusion that referenced this pull request Mar 24, 2026
## Which issue does this PR close?

<!--
We generally require a GitHub issue to be filed for all bug fixes and
enhancements and this helps us generate change logs for our releases.
You can link an issue to this PR using the GitHub syntax. For example
`Closes apache#123` indicates that this PR will close issue apache#123.
-->

- Part of apache/datafusion-comet#2986.

## Rationale for this change

The `factorial` function currently converts scalar inputs to arrays
before processing. Adding a scalar fast path avoids this overhead and
improves performance.

<!--
Why are you proposing this change? If this is already explained clearly
in the issue then this section is not needed.
Explaining clearly why changes are proposed helps reviewers understand
your changes and offer better suggestions for fixes.
-->

## What changes are included in this PR?

1. Refactored `invoke_with_args` to use `match` statement for handling
both scalar and array inputs
2. Inlined array processing logic, removing `make_scalar_function`
usage.

| Type | Before | After | Speedup |
|------|--------|-------|---------|
| **factorial_scalar** | 244 ns | 102 ns | **2.4x** |

<!--
There is no need to duplicate the description in the issue here but it
is sometimes worth providing a summary of the individual changes in this
PR.
-->

## Are these changes tested?

Yes, covered by existing SLT tests:
- `scalar.slt` lines 461-477
- `math.slt` line 797

<!--
We typically require tests for all PRs in order to:
1. Prevent the code from being accidentally broken by subsequent changes
2. Serve as another way to document the expected behavior of the code

If tests are not included in your PR, please explain why (for example,
are they covered by existing tests)?
-->

## Are there any user-facing changes?

<!--
If there are user-facing changes then we may require documentation to be
updated before approving the PR.
-->

<!--
If there are any breaking changes to public APIs, please add the `api
change` label.
-->
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2 participants