The vote passes with 6+1s (4 binding +1s). (* = binding) +1: Wenchen Fan (*) Kent Yao Cheng Pan Xiao Li (*) Gengliang Wang (*) Tathagata Das (*)
Thanks all! On Fri, May 31, 2024 at 6:07 PM Tathagata Das <tathagata.das1...@gmail.com> wrote: > +1 > - Tested RC3 with Delta Lake. All our Scala and Python tests pass. > > On Fri, May 31, 2024 at 3:24 PM Xiao Li <gatorsm...@gmail.com> wrote: > >> +1 >> >> Cheng Pan <pan3...@gmail.com> 于2024年5月30日周四 09:48写道： >> >>> +1 (non-binding) >>> >>> - All links are valid >>> - Run some basic quires using YARN client mode with Apache Hadoop >>> v3.3.6, HMS 2.3.9 >>> - Pass integration tests with Apache Kyuubi v1.9.1 RC0 >>> >>> Thanks, >>> Cheng Pan >>> >>> >>> On May 29, 2024, at 02:48, Wenchen Fan <cloud0...@gmail.com> wrote: >>> >>> Please vote on releasing the following candidate as Apache Spark version >>> 4.0.0-preview1. >>> >>> The vote is open until May 31 PST and passes if a majority +1 PMC votes >>> are cast, with >>> a minimum of 3 +1 votes. >>> >>> [ ] +1 Release this package as Apache Spark 4.0.0-preview1 >>> [ ] -1 Do not release this package because ... >>> >>> To learn more about Apache Spark, please see http://spark.apache.org/ >>> >>> The tag to be voted on is v4.0.0-preview1-rc2 (commit >>> 7cfe5a6e44e8d7079ae29ad3e2cee7231cd3dc66): >>> https://github.com/apache/spark/tree/v4.0.0-preview1-rc3 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview1-rc3-bin/ >>> >>> Signatures used for Spark RCs can be found in this file: >>> https://dist.apache.org/repos/dist/dev/spark/KEYS >>> >>> The staging repository for this release can be found at: >>> https://repository.apache.org/content/repositories/orgapachespark-1456/ >>> >>> The documentation corresponding to this release can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview1-rc3-docs/ >>> >>> The list of bug fixes going into 4.0.0 can be found at the following URL: >>> https://issues.apache.org/jira/projects/SPARK/versions/12353359 >>> >>> 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 and see if anything important breaks, in the Java/Scala >>> you can add the staging repository to your projects 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). >>> >>> >>>
