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perf: Optimize repeat function for scalar and array fast#19976

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Jefffrey merged 3 commits intoapache:mainfrom
kumarUjjawal:perf/repeat_scalar_path
Jan 27, 2026
Merged

perf: Optimize repeat function for scalar and array fast#19976
Jefffrey merged 3 commits intoapache:mainfrom
kumarUjjawal:perf/repeat_scalar_path

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@kumarUjjawal
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Which issue does this PR close?

Rationale for this change

The repeat function currently converts scalar inputs to arrays before processing via make_scalar_function. Adding a scalar fast path avoids this overhead and improves performance for constant folding and scalar expression evaluation.

What changes are included in this PR?

  1. Refactored invoke_with_args to handle scalar inputs directly without array conversion
  2. Added scalar fast path for Utf8, LargeUtf8, and Utf8View scalar inputs
  3. Added array fast path that skips per-element null checks when null_count() == 0
Type Before After Speedup
repeat/scalar_utf8 519 ns 91 ns 5.7x
repeat/scalar_utf8view 437 ns 91 ns 4.8x

Are these changes tested?

Yes

Are there any user-facing changes?

No

@github-actions github-actions Bot added the functions Changes to functions implementation label Jan 24, 2026
Comment thread datafusion/functions/src/string/repeat.rs Outdated
Comment thread datafusion/functions/src/string/repeat.rs Outdated
Comment thread datafusion/functions/src/string/repeat.rs Outdated
Comment thread datafusion/functions/src/string/repeat.rs Outdated
Comment thread datafusion/functions/src/string/repeat.rs Outdated
Comment thread datafusion/functions/src/string/repeat.rs Outdated
Comment thread datafusion/functions/src/string/repeat.rs Outdated
Comment thread datafusion/functions/src/string/repeat.rs
@Jefffrey Jefffrey added this pull request to the merge queue Jan 27, 2026
Merged via the queue into apache:main with commit c560bee Jan 27, 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 `repeat` function currently converts scalar inputs to arrays before
processing via `make_scalar_function`. Adding a scalar fast path avoids
this overhead and improves performance for constant folding and scalar
expression evaluation.

<!--
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 handle scalar inputs directly
without array conversion
2. Added scalar fast path for `Utf8`, `LargeUtf8`, and `Utf8View` scalar
inputs
3. Added array fast path that skips per-element null checks when
`null_count() == 0`

| Type | Before | After | Speedup |
|------|--------|-------|---------|
| **repeat/scalar_utf8** | 519 ns | 91 ns | **5.7x** |
| **repeat/scalar_utf8view** | 437 ns | 91 ns | **4.8x** |

<!--
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

<!--
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?

No

<!--
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