+1 (non-binding). Iceberg tests look good[1]. 1. https://github.com/apache/iceberg/pull/17180
Thanks Holden! On Mon, Jul 13, 2026 at 11:22 AM John Zhuge <[email protected]> wrote: > +1 (non-binding) > > Verified signatures and SHA512 checksums; pyspark 3.5.9 installs and > imports fine. > > Thanks Holden! > > On Sun, Jul 12, 2026 at 7:26 PM huaxin gao <[email protected]> wrote: > >> +1 >> >> >> On Sun, Jul 12, 2026 at 4:23 PM <[email protected]> wrote: >> >>> Please vote on releasing the following candidate as Apache Spark version >>> 3.5.9. >>> >>> The vote is open until Wed, 15 Jul 2026 17:23:08 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 3.5.9 >>> [ ] -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 v3.5.9-rc1 (commit 7c14a3c28b1): >>> https://github.com/apache/spark/tree/v3.5.9-rc1 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v3.5.9-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-1529/ >>> >>> The documentation corresponding to this release can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v3.5.9-rc1-docs/ >>> >>> The list of bug fixes going into 3.5.9 can be found at the following URL: >>> https://issues.apache.org/jira/projects/SPARK/versions/12356606 >>> >>> 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/v3.5.9-rc1-bin/pyspark-3.5.9.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 you don't end up building with an out of date RC going forward).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] >>> >>> > > -- > John Zhuge >
