+1 (non binding) Thanks Szehon
On Thu, Jul 2, 2026 at 10:16 AM L. C. Hsieh <[email protected]> wrote: > +1 > > On Thu, Jul 2, 2026 at 5:42 AM Wenchen Fan <[email protected]> wrote: > >> +1 >> >> On Thu, Jul 2, 2026 at 8:25 PM Peter Toth <[email protected]> wrote: >> >>> +1 >>> >>> On Thu, Jul 2, 2026 at 9:48 AM Max Gekk <[email protected]> wrote: >>> >>>> +1 >>>> >>>> On Thu, Jul 2, 2026 at 8:26 AM <[email protected]> wrote: >>>> >>>>> Please vote on releasing the following candidate as Apache Spark >>>>> version 4.2.0. >>>>> >>>>> The vote is open until Sun, 05 Jul 2026 00:24:35 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 4.2.0 >>>>> [ ] -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 v4.2.0-rc5 (commit 15d153e6a3d): >>>>> https://github.com/apache/spark/tree/v4.2.0-rc5 >>>>> >>>>> The release files, including signatures, digests, etc. can be found at: >>>>> https://dist.apache.org/repos/dist/dev/spark/v4.2.0-rc5-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-1525/ >>>>> >>>>> The documentation corresponding to this release can be found at: >>>>> https://dist.apache.org/repos/dist/dev/spark/v4.2.0-rc5-docs/ >>>>> >>>>> The list of bug fixes going into 4.2.0 can be found at the following >>>>> URL: >>>>> https://issues.apache.org/jira/projects/SPARK/versions/12356380 >>>>> >>>>> 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/v4.2.0-rc5-bin/pyspark-4.2.0.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] >>>>> >>>>>
