+1 Kousuke Saruta <[email protected]> 于2026年1月7日周三 16:47写道：
> +1 > > 2026年1月7日(水) 10:33 Holden Karau <[email protected]>: > >> +1 >> >> Twitter: https://twitter.com/holdenkarau >> Fight Health Insurance: https://www.fighthealthinsurance.com/ >> <https://www.fighthealthinsurance.com/?q=hk_email> >> Books (Learning Spark, High Performance Spark, etc.): >> https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9> >> YouTube Live Streams: https://www.youtube.com/user/holdenkarau >> Pronouns: she/her >> >> >> On Tue, Jan 6, 2026 at 4:58 PM Hyukjin Kwon <[email protected]> wrote: >> >>> Starting with my own +1 >>> >>> On Wed, 7 Jan 2026 at 09:42, <[email protected]> wrote: >>> >>>> Please vote on releasing the following candidate as Apache Spark >>>> version 4.2.0-preview1. >>>> >>>> The vote is open until Fri, 09 Jan 2026 17:41:00 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 4.2.0-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 v4.2.0-preview1-rc1 (commit 33b4056eee8): >>>> https://github.com/apache/spark/tree/v4.2.0-preview1-rc1 >>>> >>>> The release files, including signatures, digests, etc. can be found at: >>>> https://dist.apache.org/repos/dist/dev/spark/v4.2.0-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-1512/ >>>> >>>> The documentation corresponding to this release can be found at: >>>> https://dist.apache.org/repos/dist/dev/spark/v4.2.0-preview1-rc1-docs/ >>>> >>>> The list of bug fixes going into 4.2.0-preview1 can be found at the >>>> following URL: >>>> https://issues.apache.org/jira/projects/SPARK/versions/12356380 >>>> >>>> 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/v4.2.0-preview1-rc1-bin/pyspark-4.2.0.dev1.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] >>>> >>>>
