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[SPARK-45781][BUILD] Upgrade Arrow to 14.0.0 #43650

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@LuciferYang LuciferYang commented Nov 3, 2023

What changes were proposed in this pull request?

This pr upgrade Apache Arrow from 13.0.0 to 14.0.0.

Why are the changes needed?

The Apache Arrow 14.0.0 release brings a number of enhancements and bug fixes.

In terms of bug fixes, the release addresses several critical issues that were causing failures in integration jobs with Spark(GH-36332) and problems with importing empty data arrays(GH-37056). It also optimizes the process of appending variable length vectors(GH-37829) and includes C++ libraries for MacOS AARCH 64 in Java-Jars(GH-38076).

The new features and improvements focus on enhancing the handling and manipulation of data. This includes the introduction of DefaultVectorComparators for large types(GH-25659), support for extended expressions in ScannerBuilder(GH-34252), and the exposure of the VectorAppender class(GH-37246).

The release also brings enhancements to the development and testing process, with the CI environment now using JDK 21(GH-36994). In addition, the release introduces vector validation consistent with C++, ensuring consistency across different languages(GH-37702).

Furthermore, the usability of VarChar writers and binary writers has been improved with the addition of extra input methods(GH-37705), and VarCharWriter now supports writing from Text and String(GH-37706). The release also adds typed getters for StructVector, improving the ease of accessing data(GH-37863).

The full release notes as follows:

Does this PR introduce any user-facing change?

No

How was this patch tested?

Pass GitHub Actions

Was this patch authored or co-authored using generative AI tooling?

No

@LuciferYang LuciferYang marked this pull request as draft November 3, 2023 15:58
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Test first

@github-actions github-actions bot added the BUILD label Nov 3, 2023
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LuciferYang commented Nov 3, 2023

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@dongjoon-hyun dongjoon-hyun left a comment

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Thank you for catching up Apache Arrow community! :)

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@HyukjinKwon HyukjinKwon left a comment

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LGTM if tests pass

@LuciferYang LuciferYang marked this pull request as ready for review November 4, 2023 03:23
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+1, LGTM.

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dongjoon-hyun commented Nov 4, 2023

Merged to master for Apache Spark 4.0.0! Thank you, @LuciferYang and all!

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5 participants