+1 (non-binding) All tests passed now for Spark 4.1 support in Iceberg <https://github.com/apache/iceberg/pull/14155>.
FYI, RC2 has 41 commits after RC2. You mean "after RC1", right? ;) Regards, Manu On Mon, Dec 1, 2025 at 8:46 AM Dongjoon Hyun <[email protected]> wrote: > I'll start with my +1 as a release manager. > > FYI, RC2 has 41 commits after RC2. > > $ git log --oneline v4.1.0-rc1...v4.1.0-rc2 | wc -l > 41 > > Thank you in advance for all your feedback. > > Dongjoon Hyun. > > On 2025/12/01 00:42:51 [email protected] wrote: > > Please vote on releasing the following candidate as Apache Spark version > 4.1.0. > > > > The vote is open until Wed, 03 Dec 2025 17:42:51 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 4.1.0 > > [ ] -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 v4.1.0-rc2 (commit 560c52d5dff): > > https://github.com/apache/spark/tree/v4.1.0-rc2 > > > > The release files, including signatures, digests, etc. can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v4.1.0-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-1507/ > > > > The documentation corresponding to this release can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v4.1.0-rc2-docs/ > > > > The list of bug fixes going into 4.1.0 can be found at the following URL: > > https://issues.apache.org/jira/projects/SPARK/versions/12355581 > > > > 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/v4.1.0-rc2-bin/pyspark-4.1.0.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] > > > > > > --------------------------------------------------------------------- > To unsubscribe e-mail: [email protected] > >
