+1 (non-binding)

Verified signatures and checksums; pyspark 4.2.0 installs and imports fine.

Thanks Huaxin!

On Sun, Jul 12, 2026 at 5:50 PM Yuming Wang <[email protected]> wrote:

> +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
>>>>>>
>>>>>

-- 
John Zhuge

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