+1

On Tue, May 13, 2025 at 12:07 AM Gengliang Wang <ltn...@gmail.com> wrote:

> +1
>
> On Mon, May 12, 2025 at 6:52 AM Wenchen Fan <cloud0...@gmail.com> wrote:
>
>> I'll start with my own +1.
>>
>> All the known blockers are fixed, and I verified that the new Spark
>> Connect distribution works as expected.
>>
>> On Fri, May 9, 2025 at 8:16 PM Wenchen Fan <cloud0...@gmail.com> wrote:
>>
>>> Please vote on releasing the following candidate as Apache Spark version
>>> 4.0.0.
>>>
>>> The vote is open until May 15 (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 4.0.0
>>> [ ] -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 v4.0.0-rc5 (commit
>>> f35a2ee6dc7833ea0cff757147132c9fdc26c113)
>>> https://github.com/apache/spark/tree/v4.0.0-rc5
>>>
>>> The release files, including signatures, digests, etc. can be found at:
>>> https://dist.apache.org/repos/dist/dev/spark/v4.0.0-rc5-bin/
>>>
>>> Signatures used for Spark RCs can be found in this file:
>>> https://dist.apache.org/repos/dist/dev/spark/KEYS
>>>
>>> The staging repository for this release can be found at:
>>> https://repository.apache.org/content/repositories/orgapachespark-1483/
>>>
>>> The documentation corresponding to this release can be found at:
>>> https://dist.apache.org/repos/dist/dev/spark/v4.0.0-rc5-docs/
>>>
>>> The list of bug fixes going into 4.0.0 can be found at the following URL:
>>> https://issues.apache.org/jira/projects/SPARK/versions/12353359
>>>
>>> This release is using the release script of the tag v4.0.0-rc5.
>>>
>>> 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 and see if anything important breaks, in the Java/Scala
>>> you can add the staging repository to your projects resolvers and test
>>> with the RC (make sure to clean up the artifact cache before/after so
>>> you don't end up building with a out of date RC going forward).
>>>
>>

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