Moved to +1 since it’s only a regression from 4.1 not 4.2, but I still think we should consider if an RC3 is appropriate for this fix.
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 Wed, Oct 14, 2026 at 11:21 AM Holden Karau <[email protected]> wrote: > -1: There's a PyUDF Arrow failure on Docker reported by Lisa (which is > enabled by default now), and apparently the fallback doesn't function > properly in Connect so its a bad one > https://github.com/apache/spark/pull/59280 > > On Wed, Oct 14, 2026 at 2:08 AM Nicholas Chammas < > [email protected]> wrote: > >> +1 >> >> I ran the additional distribution tests from #57645 >> <https://github.com/apache/spark/pull/57645>. They all passed. >> >> >> On Oct 13, 2026, at 4:32 AM, Wenchen Fan <[email protected]> wrote: >> >> +1 >> >> On Tue, Oct 13, 2026 at 8:31 AM <[email protected]> wrote: >> >>> Please vote on releasing the following candidate as Apache Spark version >>> 4.3.0. >>> >>> The vote is open until Thu, 15 Oct 2026 18:30:01 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 4.3.0 >>> [ ] -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 v4.3.0-rc2 (commit c0fd65d3f4f): >>> https://github.com/apache/spark/tree/v4.3.0-rc2 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v4.3.0-rc2-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-1538/ >>> >>> The documentation corresponding to this release can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v4.3.0-rc2-docs/ >>> >>> The list of bug fixes going into 4.3.0 can be found at the following URL: >>> https://issues.apache.org/jira/projects/SPARK/versions/12356944 >>> >>> 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/v4.3.0-rc2-bin/pyspark-4.3.0.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] >>> >>> >> > > -- > 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 >
