+1 On Thu, Sep 18, 2025 at 7:09 PM Kousuke Saruta <saru...@apache.org> wrote:
> +1 > > 2025年9月19日(金) 1:03 huaxin gao <huaxin.ga...@gmail.com>: > >> +1 >> Thanks Peter for driving the release! >> >> Huaxin >> >> On Thu, Sep 18, 2025 at 8:54 AM kazuyuki tanimura >> <ktanim...@apple.com.invalid> wrote: >> >>> +1 (non-binding) >>> >>> Kazu >>> >>> >>> On Sep 18, 2025, at 8:43 AM, Dongjoon Hyun <dongj...@apache.org> wrote: >>> >>> +1 >>> >>> Thank you for leading Apache Spark 3.5.7 release, Peter. >>> >>> Dongjoon >>> >>> On 2025/09/18 04:41:46 Zhou Jiang wrote: >>> >>> + 1 >>> >>> >>> On Sep 17, 2025, at 16:14, pt...@apache.org wrote: >>> >>> Please vote on releasing the following candidate as Apache Spark >>> version 3.5.7. >>> >>> The vote is open until Sat, 20 Sep 2025 17:13:14 PDT and passes if a >>> majority +1 PMC votes are cast, with >>> a minimum of 3 +1 votes. >>> >>> [ ] +1 Release this package as Apache Spark 3.5.7 >>> [ ] -1 Do not release this package because ... >>> >>> To learn more about Apache Spark, please see https://spark.apache.org/ >>> >>> The tag to be voted on is v3.5.7-rc1 (commit ed00d046951): >>> https://github.com/apache/spark/tree/v3.5.7-rc1 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v3.5.7-rc1-bin/ >>> >>> Signatures used for Spark RCs can be found in this file: >>> https://downloads.apache.org/spark/KEYS >>> >>> The staging repository for this release can be found at: >>> https://repository.apache.org/content/repositories/orgapachespark-1502/ >>> >>> The documentation corresponding to this release can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v3.5.7-rc1-docs/ >>> >>> The list of bug fixes going into 3.5.7 can be found at the following URL: >>> https://issues.apache.org/jira/projects/SPARK/versions/12355975 >>> >>> FAQ >>> >>> ========================= >>> How can I help test this release? >>> ========================= >>> >>> If you are a Spark user, you can help us test this release by taking >>> an existing Spark workload and running on this release candidate, then >>> reporting any regressions. >>> >>> If you're working in PySpark you can set up a virtual env and install >>> the current RC via "pip install >>> https://dist.apache.org/repos/dist/dev/spark/v3.5.7-rc1-bin/pyspark-3.5.7.tar.gz >>> " >>> and see if anything important breaks. >>> In the Java/Scala, you can add the staging repository to your project's >>> resolvers and test >>> with the RC (make sure to clean up the artifact cache before/after so >>> you don't end up building with an out of date RC going forward). >>> >>> --------------------------------------------------------------------- >>> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org >>> >>> >>> --------------------------------------------------------------------- >>> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org >>> >>> >>> >>> --------------------------------------------------------------------- >>> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org >>> >>> >>>
