+1 Dongjoon
On 2026/07/13 07:16:24 Xiao Li wrote: > +1 > > Verified v3.5.9-rc1 on Linux/x86_64, JDK 17 (OpenJDK 17.0.15): > - Checksums: all 6 artifacts match published .sha512 > - Signatures: all 6 GOOD, signed by Holden's key > D05CF4F16124A4B97D7F96C417C47D58C0A604AC in KEYS > (verified via RFC-8032 Ed25519 as my host is in FIPS mode where gpg > rejects EdDSA) > - Tag v3.5.9-rc1 = 7c14a3c28b14...; versions all 3.5.9; no SNAPSHOT; > LICENSE/NOTICE present > - Built sql (+ core/catalyst) from the source tarball with Scala 2.12: > success, no errors > - Ran SparkPi and Spark SQL/DataFrame from both the Scala 2.12 and 2.13 > hadoop3 binaries: OK > - pip-tested pyspark-3.5.9 (DataFrame + SQL + Python UDF) on Python 3.11: OK > - JIRA: 49 issues fixed, 0 unresolved, 0 open blockers/critical > > Xiao > > Manu Zhang <[email protected]> 于2026年7月12日周日 20:37写道： > > > +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 > >> > > > --------------------------------------------------------------------- To unsubscribe e-mail: [email protected]
