I see the user reported an issue SPARK-60023 [1] that that fails every built-in data source write to GS and ABFS, it sounds serious, can anyone who uses those file systems evaluate the severity?
[1] https://github.com/apache/spark/pull/59333 Thanks, Cheng Pan > On Oct 14, 2026, at 07:05, Szehon Ho <[email protected]> wrote: > > +1 (non binding) > > Checked GPG, SHA-512, basic test. > > Thanks > Szehon > > On Tue, Oct 13, 2026 at 9:37 PM Gengliang Wang <[email protected] > <mailto:[email protected]>> wrote: >> +1 >> >> On Mon, Oct 12, 2026 at 6:33 PM Wenchen Fan <[email protected] >> <mailto:[email protected]>> wrote: >>> +1 >>> >>> On Tue, Oct 13, 2026 at 8:31 AM <[email protected] >>> <mailto:[email protected]>> wrote: >>>> Please vote on releasing the following candidate as Apache Spark version >>>> 4.3.0. >>>> >>>> The vote is open until Thu, 15 Oct 2026 18:30:01 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 4.3.0 >>>> [ ] -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 v4.3.0-rc2 (commit c0fd65d3f4f): >>>> https://github.com/apache/spark/tree/v4.3.0-rc2 >>>> >>>> The release files, including signatures, digests, etc. can be found at: >>>> https://dist.apache.org/repos/dist/dev/spark/v4.3.0-rc2-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-1538/ >>>> >>>> The documentation corresponding to this release can be found at: >>>> https://dist.apache.org/repos/dist/dev/spark/v4.3.0-rc2-docs/ >>>> >>>> The list of bug fixes going into 4.3.0 can be found at the following URL: >>>> https://issues.apache.org/jira/projects/SPARK/versions/12356944 >>>> >>>> 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/v4.3.0-rc2-bin/pyspark-4.3.0.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] >>>> <mailto:[email protected]> >>>>
