+1

2026年3月11日(水) 5:58 Hyukjin Kwon <[email protected]>:

> +1 from myself.
>
> On Wed, Mar 11, 2026 at 5:03 AM Holden Karau <[email protected]>
> wrote:
>
>> +1
>>
>> 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
>>
>>
>> On Tue, Mar 10, 2026 at 12:07 PM Dongjoon Hyun <[email protected]>
>> wrote:
>>
>>> +1
>>>
>>> Thank you, Hyukjin.
>>>
>>> Dongjoon.
>>>
>>> On 2026/03/10 04:15:15 [email protected] wrote:
>>> > Please vote on releasing the following candidate as Apache Spark
>>> version 4.2.0-preview3.
>>> >
>>> > The vote is open until Thu, 12 Mar 2026 22:15:14 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-preview3
>>> > [ ] -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-preview3-rc1 (commit 9a4426f02e6):
>>> > https://github.com/apache/spark/tree/v4.2.0-preview3-rc1
>>> >
>>> > The release files, including signatures, digests, etc. can be found at:
>>> > https://dist.apache.org/repos/dist/dev/spark/v4.2.0-preview3-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-1516/
>>> >
>>> > The documentation corresponding to this release can be found at:
>>> > https://dist.apache.org/repos/dist/dev/spark/v4.2.0-preview3-rc1-docs/
>>> >
>>> > The list of bug fixes going into 4.2.0-preview3 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-preview3-rc1-bin/pyspark-4.2.0.dev3.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]
>>> >
>>> >
>>>
>>> ---------------------------------------------------------------------
>>> To unsubscribe e-mail: [email protected]
>>>
>>>

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