+1 On Tue, Jun 9, 2026 at 2:42 AM Ruifeng Zheng <[email protected]> wrote:
> +1 > > On Tue, Jun 9, 2026 at 10:35 AM Wenchen Fan <[email protected]> wrote: > >> +1 >> >> On Mon, Jun 8, 2026 at 10:04 AM huaxin gao <[email protected]> >> wrote: >> >>> +1 >>> >>> On Mon, Jun 8, 2026 at 9:54 AM Max Gekk <[email protected]> wrote: >>> >>>> +1 >>>> >>>> Пн, 8 июня 2026 г. в 17:38, Peter Toth <[email protected]>: >>>> >>>>> +1 >>>>> >>>>> On Mon, Jun 8, 2026 at 7:53 AM Kousuke Saruta <[email protected]> >>>>> wrote: >>>>> >>>>>> +1 >>>>>> >>>>>> >>>>>> 2026年6月8日(月) 14:34 Dongjoon Hyun <[email protected]>: >>>>>> >>>>>>> +1 >>>>>>> >>>>>>> Dongjoon >>>>>>> >>>>>>> On 2026/06/08 05:30:17 Kent Yao wrote: >>>>>>> > +1,binding >>>>>>> > >>>>>>> > Kent Yao >>>>>>> > >>>>>>> > <[email protected]> 于2026年6月8日周一 13:22写道： >>>>>>> > >>>>>>> > > Please vote on releasing the following candidate as Apache Spark >>>>>>> version >>>>>>> > > 4.0.3. >>>>>>> > > >>>>>>> > > The vote is open until Wed, 10 Jun 2026 23:22:26 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 4.0.3 >>>>>>> > > [ ] -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 v4.0.3-rc1 (commit 322ddd90b63): >>>>>>> > > https://github.com/apache/spark/tree/v4.0.3-rc1 >>>>>>> > > >>>>>>> > > The release files, including signatures, digests, etc. can be >>>>>>> found at: >>>>>>> > > https://dist.apache.org/repos/dist/dev/spark/v4.0.3-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-1520/ >>>>>>> > > >>>>>>> > > The documentation corresponding to this release can be found at: >>>>>>> > > https://dist.apache.org/repos/dist/dev/spark/v4.0.3-rc1-docs/ >>>>>>> > > >>>>>>> > > The list of bug fixes going into 4.0.3 can be found at the >>>>>>> following URL: >>>>>>> > > https://issues.apache.org/jira/projects/SPARK/versions/12356691 >>>>>>> > > >>>>>>> > > 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/v4.0.3-rc1-bin/pyspark-4.0.3.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] >>>>>>> > > >>>>>>> > > >>>>>>> > >>>>>>> >>>>>>
