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feat(datafusion-spark): implement spark compatible unhex function#19909

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alamb merged 9 commits intoapache:mainfrom
lyne7-sc:feat/spark_unhex
Jan 22, 2026
Merged

feat(datafusion-spark): implement spark compatible unhex function#19909
alamb merged 9 commits intoapache:mainfrom
lyne7-sc:feat/spark_unhex

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Which issue does this PR close?

Part of: #15914

Rationale for this change

Implement spark compatible unhex functions:
https://spark.apache.org/docs/latest/api/sql/index.html#unhex

What changes are included in this PR?

Are these changes tested?

Yes. UTs and SLT added.

Are there any user-facing changes?

No.

@github-actions github-actions Bot added sqllogictest SQL Logic Tests (.slt) spark labels Jan 20, 2026
Comment thread datafusion/spark/src/function/math/unhex.rs Outdated
Comment thread datafusion/spark/src/function/math/unhex.rs Outdated
Comment thread datafusion/spark/src/function/math/unhex.rs Outdated
Comment thread datafusion/spark/src/function/math/unhex.rs Outdated
I: Iterator<Item = Option<T>>,
T: AsRef<str>,
{
let mut builder = BinaryBuilder::with_capacity(len, len * 32);
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Why 32?

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It was chosen based on benchmark results and seemed like a reasonable initial estimate. Thanks for pointing this out, for StringArray and LargeStringArray we can use a more accurate capacity from values().len(). I’ve updated the code accordingly.

Comment thread datafusion/spark/src/function/math/unhex.rs
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Thanks for the review and for pointing this out. I’ve updated the implementation accordingly, and the tests have been updated as well and added to the STLs.

@alamb alamb added this pull request to the merge queue Jan 22, 2026
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alamb commented Jan 22, 2026

🚀

Merged via the queue into apache:main with commit 736fa7c Jan 22, 2026
51 of 55 checks passed
@lyne7-sc lyne7-sc deleted the feat/spark_unhex branch February 12, 2026 01:48
de-bgunter pushed a commit to de-bgunter/datafusion that referenced this pull request Mar 24, 2026
…pache#19909)

## Which issue does this PR close?

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enhancements and this helps us generate change logs for our releases.
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Part of: apache#15914

## Rationale for this change

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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.
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Implement spark compatible unhex functions:
https://spark.apache.org/docs/latest/api/sql/index.html#unhex

## What changes are included in this PR?

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is sometimes worth providing a summary of the individual changes in this
PR.
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## Are these changes tested?
Yes. UTs and SLT added.

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1. Prevent the code from being accidentally broken by subsequent changes
2. Serve as another way to document the expected behavior of the code

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## Are there any user-facing changes?
No.

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updated before approving the PR.
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3 participants