-1, discuss on private On Mon, Aug 31, 2026 at 1:15 PM Szehon Ho <[email protected]> wrote:
> Hi Jungtaek, > > I would like to to get https://github.com/apache/spark/pull/58412 in. > It's not the most major one, but we recently added a DSV2 API and it'd be > great to avoid behavior change in future releases by fixing the behavior. > > But that being said, signature, sha-512, and basic verifications look good > to me. > > Thanks for driving the release! > Szehon > > On Mon, Aug 31, 2026 at 6:37 AM Jungtaek Lim <[email protected]> wrote: > >> Folks, please do not hesitate to test this RC; we generally did not make >> RC1 pass, but we should use the RC1 to descope the defects and critical >> fixes, to verify less things in the next RC, and iterate till we eventually >> have consensus of OK sign on specific RC. >> >> On Mon, Aug 31, 2026 at 6:51 PM <[email protected]> wrote: >> >>> Please vote on releasing the following candidate as Apache Spark version >>> 4.3.0. >>> >>> The vote is open until Thu, 03 Sep 2026 03:51:35 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-rc1 (commit 3db813416c8): >>> https://github.com/apache/spark/tree/v4.3.0-rc1 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v4.3.0-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-1530/ >>> >>> The documentation corresponding to this release can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v4.3.0-rc1-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-rc1-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
