[SPARK-54645][BUILD] Upgrade Scala to 2.13.18#53396
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dongjoon-hyun wants to merge 1 commit intoapache:masterfrom
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[SPARK-54645][BUILD] Upgrade Scala to 2.13.18#53396dongjoon-hyun wants to merge 1 commit intoapache:masterfrom
dongjoon-hyun wants to merge 1 commit intoapache:masterfrom
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Thank you, @mridulm . |
HyukjinKwon
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Dec 8, 2025
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Thank you, @HyukjinKwon . |
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Merged to master for Apache Spark 4.2.0. |
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late LGTM |
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Thank you, @LuciferYang . |
dongjoon-hyun
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Feb 13, 2026
### 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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Feb 18, 2026
### 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?
This PR aims to upgrade
Scalato2.13.18.Why are the changes needed?
To bring the latest bug fixed version.
@uncheckedOverrideannotation for definitions that may override scala/scala#11175Does this PR introduce any user-facing change?
Yes, this is a user-facing Scala version change.
How was this patch tested?
Pass the CIs.
Was this patch authored or co-authored using generative AI tooling?
No.