+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] >> >>
