+1 pip installing seems to function :) On Thu, Sep 7, 2023 at 7:22 PM Yuming Wang <yumw...@apache.org> wrote:
> +1. > > On Thu, Sep 7, 2023 at 10:33 PM yangjie01 <yangji...@baidu.com.invalid> > wrote: > >> +1 >> >> >> >> *发件人**: *Gengliang Wang <ltn...@gmail.com> >> *日期**: *2023年9月7日 星期四 12:53 >> *收件人**: *Yuanjian Li <xyliyuanj...@gmail.com> >> *抄送**: *Xiao Li <gatorsm...@gmail.com>, "her...@databricks.com.invalid" >> <her...@databricks.com.invalid>, Spark dev list <dev@spark.apache.org> >> *主题**: *Re: [VOTE] Release Apache Spark 3.5.0 (RC4) >> >> >> >> +1 >> >> >> >> On Wed, Sep 6, 2023 at 9:46 PM Yuanjian Li <xyliyuanj...@gmail.com> >> wrote: >> >> +1 (non-binding) >> >> Xiao Li <gatorsm...@gmail.com> 于2023年9月6日周三 15:27写道： >> >> +1 >> >> >> >> Xiao >> >> >> >> Herman van Hovell <her...@databricks.com.invalid> 于2023年9月6日周三 22:08写道： >> >> Tested connect, and everything looks good. >> >> >> >> +1 >> >> >> >> On Wed, Sep 6, 2023 at 8:11 AM Yuanjian Li <xyliyuanj...@gmail.com> >> wrote: >> >> Please vote on releasing the following candidate(RC4) as Apache Spark >> version 3.5.0. >> >> >> >> The vote is open until 11:59pm Pacific time *Sep 8th* and passes if a >> majority +1 PMC votes are cast, with a minimum of 3 +1 votes. >> >> >> >> [ ] +1 Release this package as Apache Spark 3.5.0 >> >> [ ] -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 v3.5.0-rc4 (commit >> c2939589a29dd0d6a2d3d31a8d833877a37ee02a): >> >> https://github.com/apache/spark/tree/v3.5.0-rc4 >> >> >> >> The release files, including signatures, digests, etc. can be found at: >> >> https://dist.apache.org/repos/dist/dev/spark/v3.5.0-rc4-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-1448 >> >> >> >> The documentation corresponding to this release can be found at: >> >> https://dist.apache.org/repos/dist/dev/spark/v3.5.0-rc4-docs/ >> >> >> >> The list of bug fixes going into 3.5.0 can be found at the following URL: >> >> https://issues.apache.org/jira/projects/SPARK/versions/12352848 >> >> >> >> This release is using the release script of the tag v3.5.0-rc4. >> >> >> >> 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). >> >> >> >> =========================================== >> >> What should happen to JIRA tickets still targeting 3.5.0? >> >> =========================================== >> >> The current list of open tickets targeted at 3.5.0 can be found at: >> >> https://issues.apache.org/jira/projects/SPARK and search for "Target >> Version/s" = 3.5.0 >> >> >> >> Committers should look at those and triage. Extremely important bug >> >> fixes, documentation, and API tweaks that impact compatibility should >> >> be worked on immediately. Everything else please retarget to an >> >> appropriate release. >> >> >> >> ================== >> >> But my bug isn't fixed? >> >> ================== >> >> In order to make timely releases, we will typically not hold the >> >> release unless the bug in question is a regression from the previous >> >> release. That being said, if there is something which is a regression >> >> that has not been correctly targeted please ping me or a committer to >> >> help target the issue. >> >> >> >> Thanks, >> >> Yuanjian Li >> >> -- Twitter: https://twitter.com/holdenkarau Books (Learning Spark, High Performance Spark, etc.): https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9> YouTube Live Streams: https://www.youtube.com/user/holdenkarau
