[SPARK-54822][BUILD] Bump Parquet 1.17.0#53582
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pan3793 wants to merge 2 commits intoapache:masterfrom
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[SPARK-54822][BUILD] Bump Parquet 1.17.0#53582pan3793 wants to merge 2 commits intoapache:masterfrom
pan3793 wants to merge 2 commits intoapache:masterfrom
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Thank you for testing this, @pan3793 . Could you make the CI happy to help Parquet 1.17.0?
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Thanks for the prompt reply @dongjoon-hyun It was my mistake, retriggering the CI should solve it 👍 |
Fokko
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The release is out: https://parquet.apache.org/blog/2026/01/13/1.17.0/
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@Fokko thanks, I have removed the staging repo and rebase to fix the conflict |
JIRA Issue Information=== Improvement SPARK-54822 === This comment was automatically generated by GitHub Actions |
LuciferYang
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Jan 14, 2026
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+1, LGTM. Thank you, @pan3793 , @Fokko , and @LuciferYang .
Merged to master for Apache Sprak 4.2.0.
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### What changes were proposed in this pull request? This PR aims to regenerate benchmark results to check the intermediate status as a part of Apache Spark 4.2.0 preparation. Please note that `V2FunctionBenchmark` is excluded because it's broken due to `NumericEvalContext.evalMode()` error currently. It's good to identify this kind of bug as early as possible via this PR. - [SPARK-55519 `V2FunctionBenchmark` is broken](https://issues.apache.org/jira/browse/SPARK-55519) ### Why are the changes needed? Apache Spark 4.2.0 introduced many improvements on top of the key dependency differences from Spark 4.1.0: - #53396 - #53582 - #53347 - #54233 - #54292 We updated the benchmark result 4 months ago. So, it's time to make them up-to-date with our actual code and the current infra. - #52600 ``` - OpenJDK 64-Bit Server VM 17.0.16+8-LTS on Linux 6.11.0-1018-azure + OpenJDK 64-Bit Server VM 17.0.18+8-LTS on Linux 6.14.0-1017-azure ``` ``` - OpenJDK 64-Bit Server VM 21.0.8+9-LTS on Linux 6.11.0-1018-azure + OpenJDK 64-Bit Server VM 21.0.10+7-LTS on Linux 6.14.0-1017-azure ``` ### Does this PR introduce _any_ user-facing change? No. This is a change on benchmark result files. ### How was this patch tested? Manual review. ### Was this patch authored or co-authored using generative AI tooling? No. Closes #54313 from dongjoon-hyun/SPARK-55520. Lead-authored-by: Dongjoon Hyun <[email protected]> Co-authored-by: dongjoon-hyun <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]>
rpnkv
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### What changes were proposed in this pull request? This PR aims to regenerate benchmark results to check the intermediate status as a part of Apache Spark 4.2.0 preparation. Please note that `V2FunctionBenchmark` is excluded because it's broken due to `NumericEvalContext.evalMode()` error currently. It's good to identify this kind of bug as early as possible via this PR. - [SPARK-55519 `V2FunctionBenchmark` is broken](https://issues.apache.org/jira/browse/SPARK-55519) ### Why are the changes needed? Apache Spark 4.2.0 introduced many improvements on top of the key dependency differences from Spark 4.1.0: - apache#53396 - apache#53582 - apache#53347 - apache#54233 - apache#54292 We updated the benchmark result 4 months ago. So, it's time to make them up-to-date with our actual code and the current infra. - apache#52600 ``` - OpenJDK 64-Bit Server VM 17.0.16+8-LTS on Linux 6.11.0-1018-azure + OpenJDK 64-Bit Server VM 17.0.18+8-LTS on Linux 6.14.0-1017-azure ``` ``` - OpenJDK 64-Bit Server VM 21.0.8+9-LTS on Linux 6.11.0-1018-azure + OpenJDK 64-Bit Server VM 21.0.10+7-LTS on Linux 6.14.0-1017-azure ``` ### Does this PR introduce _any_ user-facing change? No. This is a change on benchmark result files. ### How was this patch tested? Manual review. ### Was this patch authored or co-authored using generative AI tooling? No. Closes apache#54313 from dongjoon-hyun/SPARK-55520. Lead-authored-by: Dongjoon Hyun <[email protected]> Co-authored-by: dongjoon-hyun <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]>
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What changes were proposed in this pull request?
Parquet Java 1.17.0 Release Notes
https://github.com/apache/parquet-java/releases/tag/apache-parquet-1.17.0
Note, this is the first version that requires Java 11+ (instead of Java 8)
Why are the changes needed?
Keep Parquet up-to-date.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
Pass GHA.
Was this patch authored or co-authored using generative AI tooling?
No.