-1 You've updated your key in [2] with a new one [1]. I believe you should add your new key without removing the old one. Otherwise, users cannot verify those archived releases you published.
Thanks, Kent Yao [1] https://dist.apache.org/repos/dist/dev/spark/KEYS [2] https://downloads.apache.org/spark/KEYS On 2024/05/28 07:52:45 Yi Wu wrote: > -1 > I think we should include this bug fix > https://github.com/apache/spark/commit/6cd1ccc56321dfa52672cd25f4cfdf2bbc86b3ea. > The bug can lead to the unrecoverable job failure. > > Thanks, > Yi > > On Tue, May 28, 2024 at 3:45 PM 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-rc2 > > > > The release files, including signatures, digests, etc. can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview1-rc2-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-1455/ > > > > The documentation corresponding to this release can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview1-rc2-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). > > > --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
