+1 (non-binding) Thanks, Cheng Pan
On Wed, Feb 4, 2026 at 9:40 PM Rich Bowen <[email protected]> wrote: > > +1 (non-binding) > > * Verified signatures and hashes on the following files as per > https://apache.org/info/verification.html > - SparkR_4.0.2.tar.gz (SHA512, GPG signature) > - pyspark-4.0.2.tar.gz (SHA512, GPG signature) > - pyspark_client-4.0.2.tar.gz (SHA512, GPG signature) > - pyspark_connect-4.0.2.tar.gz (SHA512, GPG signature) > - spark-4.0.2-bin-hadoop3-connect.tgz (SHA512, GPG signature) > - spark-4.0.2-bin-hadoop3.tgz (SHA512, GPG signature) > - spark-4.0.2-bin-without-hadoop.tgz (SHA512, GPG signature) > - spark-4.0.2.tgz (SHA512, GPG signature) > * Verified LICENSE and NOTICE files > > > On 2026/02/02 10:36:18 [email protected] wrote: > > Please vote on releasing the following candidate as Apache Spark version > > 4.0.2. > > > > The vote is open until Thu, 05 Feb 2026 03:36:18 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 4.0.2 > > [ ] -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 v4.0.2-rc1 (commit 7cc3b9bcdaa): > > https://github.com/apache/spark/tree/v4.0.2-rc1 > > > > The release files, including signatures, digests, etc. can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v4.0.2-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-1514/ > > > > The documentation corresponding to this release can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v4.0.2-rc1-docs/ > > > > The list of bug fixes going into 4.0.2 can be found at the following URL: > > https://issues.apache.org/jira/projects/SPARK/versions/12356246 > > > > 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/v4.0.2-rc1-bin/pyspark-4.0.2.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] > --------------------------------------------------------------------- To unsubscribe e-mail: [email protected]
