+1

On Mon, Jul 13, 2026 at 5:27 AM Gengliang Wang <[email protected]> wrote:

> +1
>
> On Sun, Jul 12, 2026 at 10:16 AM L. C. Hsieh <[email protected]> wrote:
>
>> +1
>>
>> On Sun, Jul 12, 2026 at 10:07 AM DB Tsai <[email protected]> wrote:
>>
>>> +1
>>>
>>>
>>> DB Tsai  |  https://www.dbtsai.com/  |  PGP 0x9FB9FAA3
>>>
>>>
>>> -------- Original Message --------
>>> On Sunday, 07/12/26 at 09:26 Wenchen Fan <[email protected]> wrote:
>>>
>>> +1
>>>
>>> On Sun, Jul 12, 2026 at 2:56 PM Xiao Li <[email protected]> wrote:
>>>
>>>> +1
>>>>
>>>> - Verified sha512 + GPG signatures on all artifacts (good sig, Huaxin's
>>>> key 7092…38D1, present in the linked KEYS)
>>>> - Confirmed tag v4.2.0-rc6 = commit 32f72996011; binary distros embed
>>>> the same revision
>>>> - Built spark-core (+ module deps) from the source tarball with
>>>> ./build/mvn on JDK 17 — success
>>>> - Ran SparkPi + a spark-shell Scala job (range agg + Spark SQL) —
>>>> correct
>>>> - pip-installed pyspark-4.2.0.tar.gz and ran DataFrame + Spark SQL + a
>>>> Python UDF — correct
>>>> - No open Blocker/Critical JIRAs for 4.2.0
>>>>
>>>> Xiao
>>>>
>>>> Holden Karau <[email protected]> 于2026年7月11日周六 23:44写道:
>>>>
>>>>> +1 smoke test of pyspark and key signature of pyspark checked out,
>>>>> thanks for getting this out :)
>>>>>
>>>>> On Sat, Jul 11, 2026 at 11:59 AM <[email protected]> wrote:
>>>>>
>>>>>> Please vote on releasing the following candidate as Apache Spark
>>>>>> version 4.2.0.
>>>>>>
>>>>>> The vote is open until Tue, 14 Jul 2026 12:58:53 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
>>>>>> [ ] -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-rc6 (commit 32f72996011):
>>>>>> https://github.com/apache/spark/tree/v4.2.0-rc6
>>>>>>
>>>>>> The release files, including signatures, digests, etc. can be found
>>>>>> at:
>>>>>> https://dist.apache.org/repos/dist/dev/spark/v4.2.0-rc6-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-1526/
>>>>>>
>>>>>> The documentation corresponding to this release can be found at:
>>>>>> https://dist.apache.org/repos/dist/dev/spark/v4.2.0-rc6-docs/
>>>>>>
>>>>>> The list of bug fixes going into 4.2.0 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-rc6-bin/pyspark-4.2.0.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]
>>>>>>
>>>>>>
>>>>>
>>>>> --
>>>>> 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
>>>>>
>>>>

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