+1

On Sun, Jul 12, 2026 at 10:15 AM DB Tsai <[email protected]> wrote:

> +1
>
>
> DB Tsai  |  https://www.dbtsai.com/  |  PGP 0x9FB9FAA3
>
>
> -------- Original Message --------
> On Sunday, 07/12/26 at 09:27 Wenchen Fan <[email protected]> wrote:
>
> +1
>
> On Sun, Jul 12, 2026 at 2:51 PM Holden Karau <[email protected]>
> wrote:
>
>> Great catch, fixed:
>> (spark42rc6) holden@hda:/tmp/rc6/a$ wget
>> https://dist.apache.org/repos/dist/release/spark/KEYS
>> --2026-07-11 23:48:55--
>> https://dist.apache.org/repos/dist/release/spark/KEYS
>> Resolving dist.apache.org (dist.apache.org)... 135.181.211.59,
>> 2a01:4f9:3a:292e::2
>> Connecting to dist.apache.org (dist.apache.org)|135.181.211.59|:443...
>> connected.
>> HTTP request sent, awaiting response... 200 OK
>> Length: 153158 (150K) [text/plain]
>> Saving to: ‘KEYS’
>>
>> KEYS
>>  
>> 100%[======================================================================================================================================================>]
>> 149.57K   301KB/s    in 0.5s
>>
>> 2026-07-11 23:48:56 (301 KB/s) - ‘KEYS’ saved [153158/153158]
>>
>> (spark42rc6) holden@hda:/tmp/rc6/a$ wget
>> https://dist.apache.org/repos/dist/dev/spark/KEYS
>> --2026-07-11 23:49:02--
>> https://dist.apache.org/repos/dist/dev/spark/KEYS
>> Resolving dist.apache.org (dist.apache.org)... 135.181.211.59,
>> 2a01:4f9:3a:292e::2
>> Connecting to dist.apache.org (dist.apache.org)|135.181.211.59|:443...
>> connected.
>> HTTP request sent, awaiting response... 200 OK
>> Length: 153158 (150K) [text/plain]
>> Saving to: ‘KEYS.1’
>>
>> KEYS.1
>>  
>> 100%[======================================================================================================================================================>]
>> 149.57K   287KB/s    in 0.5s
>>
>> 2026-07-11 23:49:03 (287 KB/s) - ‘KEYS.1’ saved [153158/153158]
>>
>> (spark42rc6) holden@hda:/tmp/rc6/a$ diff KEYS KEYS.1
>> (spark42rc6) holden@hda:/tmp/rc6/a$
>>
>> On Sat, Jul 11, 2026 at 11:35 PM Xiao Li <[email protected]> wrote:
>>
>>> +1  except for one issue.
>>>
>>> Verified checksums (sha512) and the GPG signature (Good signature,
>>> Holden's EdDSA key), confirmed the source tarball matches the git tag
>>> 77bbf77, built the binary dist and ran SparkPi + PySpark smoke tests on JDK
>>> 17 / Python 3.11 — all pass.
>>>
>>> The signing key D05C…04AC is in dist/dev/spark/KEYS but not yet in
>>> downloads.apache.org/spark/KEYS linked from this email — could you
>>> propagate it so voters following the email can verify?
>>>
>>> Thank you!
>>>
>>> Xiao
>>>
>>> <[email protected]> 于2026年7月11日周六 21:33写道:
>>>
>>>> Please vote on releasing the following candidate as Apache Spark
>>>> version 4.1.3.
>>>>
>>>> The vote is open until Tue, 14 Jul 2026 22:33:21 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 4.1.3
>>>> [ ] -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 v4.1.3-rc1 (commit 77bbf77e86a):
>>>> https://github.com/apache/spark/tree/v4.1.3-rc1
>>>>
>>>> The release files, including signatures, digests, etc. can be found at:
>>>> https://dist.apache.org/repos/dist/dev/spark/v4.1.3-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-1527/
>>>>
>>>> The documentation corresponding to this release can be found at:
>>>> https://dist.apache.org/repos/dist/dev/spark/v4.1.3-rc1-docs/
>>>>
>>>> The list of bug fixes going into 4.1.3 can be found at the following
>>>> URL:
>>>> https://issues.apache.org/jira/projects/SPARK/versions/12357063
>>>>
>>>> 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/v4.1.3-rc1-bin/pyspark-4.1.3.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]
>>>>
>>>>
>>
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