+1 On 2026/01/05 06:49:18 Xiao Li wrote: > +1 > > On Sun, Jan 4, 2026 at 22:45 Wenchen Fan <[email protected]> wrote: > > > +1 > > > > On Sun, Jan 4, 2026 at 10:47 AM Cheng Pan <[email protected]> wrote: > > > >> +1 (non-binding) > >> > >> Thanks, > >> Cheng Pan > >> > >> > >> > >> On Jan 3, 2026, at 06:04, Hyukjin Kwon <[email protected]> wrote: > >> > >> Starting with my own +1 > >> > >> On Fri, Jan 2, 2026 at 11:45 PM <[email protected]> wrote: > >> > >>> Please vote on releasing the following candidate as Apache Spark version > >>> 4.1.1. > >>> > >>> The vote is open until Mon, 05 Jan 2026 07:44:41 PST and passes if a > >>> majority +1 PMC votes are cast, with > >>> a minimum of 3 +1 votes. > >>> > >>> [ ] +1 Release this package as Apache Spark 4.1.1 > >>> [ ] -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 v4.1.1-rc2 (commit c0690c763ba): > >>> https://github.com/apache/spark/tree/v4.1.1-rc2 > >>> > >>> The release files, including signatures, digests, etc. can be found at: > >>> https://dist.apache.org/repos/dist/dev/spark/v4.1.1-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-1510/ > >>> > >>> The documentation corresponding to this release can be found at: > >>> https://dist.apache.org/repos/dist/dev/spark/v4.1.1-rc2-docs/ > >>> > >>> The list of bug fixes going into 4.1.1 can be found at the following URL: > >>> https://issues.apache.org/jira/projects/SPARK/versions/12356469 > >>> > >>> 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/v4.1.1-rc2-bin/pyspark-4.1.1.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] > >>> > >>> > >> >
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