+1 On 2026/01/13 04:59:33 Kousuke Saruta wrote: > +1 > > 2026年1月12日(月) 16:22 Kent Yao <[email protected]>: > > > +1 > > > > Kent > > > > Dongjoon Hyun <[email protected]> 于2026年1月12日周一 15:13写道： > > > >> +1 > >> > >> Dongjoon. > >> > >> On 2026/01/12 07:09:52 Hyukjin Kwon wrote: > >> > +1! > >> > > >> > On Mon, 12 Jan 2026 at 16:03, <[email protected]> wrote: > >> > > >> > > Please vote on releasing the following candidate as Apache Spark > >> version > >> > > 3.5.8. > >> > > > >> > > The vote is open until Thu, 15 Jan 2026 00:02:28 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 3.5.8 > >> > > [ ] -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 v3.5.8-rc1 (commit 5a48a37b2db): > >> > > https://github.com/apache/spark/tree/v3.5.8-rc1 > >> > > > >> > > The release files, including signatures, digests, etc. can be found > >> at: > >> > > https://dist.apache.org/repos/dist/dev/spark/v3.5.8-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-1513/ > >> > > > >> > > The documentation corresponding to this release can be found at: > >> > > https://dist.apache.org/repos/dist/dev/spark/v3.5.8-rc1-docs/ > >> > > > >> > > The list of bug fixes going into 3.5.8 can be found at the following > >> URL: > >> > > https://issues.apache.org/jira/projects/SPARK/versions/12356288 > >> > > > >> > > 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/v3.5.8-rc1-bin/pyspark-3.5.8.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: [email protected] > >> > > > >> > > > >> > > >> > >> --------------------------------------------------------------------- > >> To unsubscribe e-mail: [email protected] > >> > >> >
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