+1 On Wed, Jul 9, 2025 at 1:16 AM Kousuke Saruta <saru...@apache.org> wrote:
> +1 > > 2025年7月9日(水) 2:12 Rozov, Vlad <vro...@amazon.com.invalid>: > >> +1 (non-binding) >> >> >> >> Thank you, >> >> >> >> Vlad >> >> >> >> *From: *Dongjoon Hyun <dongjoon.h...@gmail.com> >> *Date: *Tuesday, July 8, 2025 at 8:09 AM >> *To: *Hyukjin Kwon <gurwls...@apache.org> >> *Cc: *"dev@spark.apache.org" <dev@spark.apache.org> >> *Subject: *RE: [EXTERNAL] [VOTE] Release Spark 4.1.0-preview1 (RC1) >> >> >> >> +1 >> >> >> >> Dongjoon >> >> >> >> On Tue, Jul 8, 2025 at 05:41 Hyukjin Kwon <gurwls...@apache.org> wrote: >> >> Alright. +1 from myself :-). >> >> >> >> On Tue, Jul 8, 2025 at 9:39 PM <gurwls...@apache.org> wrote: >> >> Please vote on releasing the following candidate as Apache Spark version >> 4.1.0-preview1. >> >> The vote is open until Sat, 12 Jul 2025 05:38:35 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 4.1.0-preview1 >> [ ] -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 v4.1.0-preview1-rc1 (commit f3ac67ee9b3): >> https://github.com/apache/spark/tree/v4.1.0-preview1-rc1 >> >> The release files, including signatures, digests, etc. can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview1-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-1500/ >> >> The documentation corresponding to this release can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview1-rc1-docs/ >> >> The list of bug fixes going into 4.1.0-preview1 can be found at the >> following URL: >> https://issues.apache.org/jira/projects/SPARK/versions/12355581 >> >> 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/v4.1.0-preview1-rc1-bin/pyspark-4.1.0-preview1.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 >> >>
