Thanks all! The two reported issues are both fixed, and I'll cut the next
RC on my Monday next week.

On Sat, May 17, 2025 at 4:17 AM Jungtaek Lim <kabhwan.opensou...@gmail.com>
wrote:

> UPDATE: The fix is merged. @Adam Binford <adam...@gmail.com> if you could
> help verifying this in latest branch-4.0, that would be great. Thanks for
> reporting the issue!
>
> On Sat, May 17, 2025 at 3:05 AM Anish Shrigondekar
> <anish.shrigonde...@databricks.com.invalid> wrote:
>
>> Hi Adam,
>>
>> Thanks for reporting the issue. @Eric Marnadi
>> <eric.marn...@databricks.com> has a PR for the fix here -
>> https://github.com/apache/spark/pull/50924
>>
>> @Wenchen Fan <cloud0...@gmail.com> - would be good to include this in
>> 4.0 RC
>>
>> Thanks,
>> Anish
>>
>> On Fri, May 16, 2025 at 8:05 AM Adam Binford <adam...@gmail.com> wrote:
>>
>>> I think I found a bug when trying to use the new StateStore source
>>> reading from RocksDB. Not sure if it should be a blocker or not but I don't
>>> think it currently can read RocksDB state store checkpoints. This was from
>>> RC2 or RC3, but I don't see any relevant issues or fixes for this. Trying
>>> to test out RC6 now.
>>>
>>> https://issues.apache.org/jira/browse/SPARK-52188
>>>
>>> On Thu, May 15, 2025 at 3:32 AM Max Gekk <max.g...@gmail.com> wrote:
>>>
>>>> +1
>>>>
>>>> On Thu, May 15, 2025 at 4:50 AM Kent Yao <y...@apache.org> wrote:
>>>>
>>>>> +1
>>>>>
>>>>> Jules Damji <jules.da...@gmail.com> 于2025年5月15日周四 04:05写道:
>>>>>
>>>>>> +1 (non-binding)
>>>>>> —
>>>>>> Sent from my iPhone
>>>>>> Pardon the dumb thumb typos :)
>>>>>>
>>>>>> On May 14, 2025, at 11:29 AM, Denny Lee <denny.g....@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>> 
>>>>>> +1 (non-binding)
>>>>>>
>>>>>> On Wed, May 14, 2025 at 10:34 AM Chao Sun <sunc...@apache.org> wrote:
>>>>>>
>>>>>>> +1
>>>>>>>
>>>>>>> On Wed, May 14, 2025 at 10:30 AM Holden Karau <
>>>>>>> holden.ka...@gmail.com> wrote:
>>>>>>>
>>>>>>>> +1
>>>>>>>>
>>>>>>>> On Wed, May 14, 2025 at 10:10 AM L. C. Hsieh <vii...@gmail.com>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> +1
>>>>>>>>>
>>>>>>>>> On Tue, May 13, 2025 at 3:28 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 16 (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-rc6 (commit
>>>>>>>>> 9a99ecb03a2d35f5f38decd686b55511a5c7c535)
>>>>>>>>> > https://github.com/apache/spark/tree/v4.0.0-rc6
>>>>>>>>> >
>>>>>>>>> > The release files, including signatures, digests, etc. can be
>>>>>>>>> found at:
>>>>>>>>> > https://dist.apache.org/repos/dist/dev/spark/v4.0.0-rc6-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-1484/
>>>>>>>>> >
>>>>>>>>> > The documentation corresponding to this release can be found at:
>>>>>>>>> > https://dist.apache.org/repos/dist/dev/spark/v4.0.0-rc6-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-rc6.
>>>>>>>>> >
>>>>>>>>> > 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).
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> ---------------------------------------------------------------------
>>>>>>>>> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
>>>>>>>>>
>>>>>>>>>
>>>>>>>>
>>>>>>>> --
>>>>>>>> Twitter: https://twitter.com/holdenkarau
>>>>>>>> Fight Health Insurance: https://www.fighthealthinsurance.com/
>>>>>>>> <https://www.fighthealthinsurance.com/?q=hk_email>
>>>>>>>> Books (Learning Spark, High Performance Spark, etc.):
>>>>>>>> https://amzn.to/2MaRAG9  <https://amzn.to/2MaRAG9>
>>>>>>>> YouTube Live Streams: https://www.youtube.com/user/holdenkarau
>>>>>>>> Pronouns: she/her
>>>>>>>>
>>>>>>>
>>>
>>> --
>>> Adam Binford
>>>
>>

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