+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 >> >
