+1 (non-binding). Everything looks good from Iceberg tests[1]. 1. https://github.com/apache/iceberg/pull/17181 <https://github.com/apache/iceberg/pull/17181>
On Mon, Jul 13, 2026 at 10:55 AM vaquar khan <[email protected]> wrote: > +1 > > > > On Sun, 12 Jul 2026 at 21:20, huaxin gao <[email protected]> wrote: > >> +1 >> >> On Sun, Jul 12, 2026 at 10:18 AM DB Tsai <[email protected]> wrote: >> >>> +1 >>> >>> >>> DB Tsai | https://www.dbtsai.com/ | PGP 0x9FB9FAA3 >>> >>> >>> -------- Original Message -------- >>> On Sunday, 07/12/26 at 09:26 Wenchen Fan <[email protected]> wrote: >>> >>> +1 >>> >>> On Sun, Jul 12, 2026 at 3:58 PM <[email protected]> wrote: >>> >>>> Please vote on releasing the following candidate as Apache Spark >>>> version 4.0.4. >>>> >>>> The vote is open until Wed, 15 Jul 2026 01:57:30 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 4.0.4 >>>> [ ] -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 v4.0.4-rc1 (commit c7d67e3f5d4): >>>> https://github.com/apache/spark/tree/v4.0.4-rc1 >>>> >>>> The release files, including signatures, digests, etc. can be found at: >>>> https://dist.apache.org/repos/dist/dev/spark/v4.0.4-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-1528/ >>>> >>>> The documentation corresponding to this release can be found at: >>>> https://dist.apache.org/repos/dist/dev/spark/v4.0.4-rc1-docs/ >>>> >>>> The list of bug fixes going into 4.0.4 can be found at the following >>>> URL: >>>> https://issues.apache.org/jira/projects/SPARK/versions/12357185 >>>> >>>> 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/v4.0.4-rc1-bin/pyspark-4.0.4.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] >>>> >>>>
