-1,

There is a 404 for
https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview1-rc1-bin/pyspark-4.1.0-preview1.tar.gz

pip install
https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview1-rc1-bin/pyspark-4.1.0-preview1.tar.gz
Collecting
https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview1-rc1-bin/pyspark-4.1.0-preview1.tar.gz
  ERROR: HTTP error 404 while getting
https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview1-rc1-bin/pyspark-4.1.0-preview1.tar.gz
ERROR: Could not install requirement
https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview1-rc1-bin/pyspark-4.1.0-preview1.tar.gz
because of HTTP error 404 Client Error: Not Found for url:
https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview1-rc1-bin/pyspark-4.1.0-preview1.tar.gz
for URL
https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview1-rc1-bin/pyspark-4.1.0-preview1.tar.gz

Can you check?


Kent


Jungtaek Lim <kabhwan.opensou...@gmail.com> 于2025年7月10日周四 07:58写道:

> +1 (non-binding) Let's give it a try!
>
> On Thu, Jul 10, 2025 at 12:24 AM Anton Okolnychyi <aokolnyc...@gmail.com>
> wrote:
>
>> +1 (non-binding)
>>
>> On Wed, Jul 9, 2025 at 8:07 AM Max Gekk <max.g...@gmail.com> wrote:
>>
>>> +1
>>>
>>> On Wed, Jul 9, 2025 at 4:04 PM Sandy Ryza <sa...@databricks.com.invalid>
>>> wrote:
>>>
>>>> +1 (non-binding)
>>>>
>>>> On Wed, Jul 9, 2025 at 6:57 AM Wenchen Fan <cloud0...@gmail.com> wrote:
>>>>
>>>>> +1
>>>>>
>>>>> On Wed, Jul 9, 2025 at 1:16 AM Kousuke Saruta <saru...@apache.org>
>>>>> wrote:
>>>>>
>>>>>> +1
>>>>>>
>>>>>> 2025年7月9日(水) 2:12 Rozov, Vlad <vro...@amazon.com.invalid>:
>>>>>>
>>>>>>> +1 (non-binding)
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> Thank you,
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> Vlad
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> *From: *Dongjoon Hyun <dongjoon.h...@gmail.com>
>>>>>>> *Date: *Tuesday, July 8, 2025 at 8:09 AM
>>>>>>> *To: *Hyukjin Kwon <gurwls...@apache.org>
>>>>>>> *Cc: *"dev@spark.apache.org" <dev@spark.apache.org>
>>>>>>> *Subject: *RE: [EXTERNAL] [VOTE] Release Spark 4.1.0-preview1 (RC1)
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> +1
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> Dongjoon
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Tue, Jul 8, 2025 at 05:41 Hyukjin Kwon <gurwls...@apache.org>
>>>>>>> wrote:
>>>>>>>
>>>>>>> Alright. +1 from myself :-).
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Tue, Jul 8, 2025 at 9:39 PM <gurwls...@apache.org> wrote:
>>>>>>>
>>>>>>> Please vote on releasing the following candidate as Apache Spark
>>>>>>> version 4.1.0-preview1.
>>>>>>>
>>>>>>> The vote is open until Sat, 12 Jul 2025 05:38:35 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 4.1.0-preview1
>>>>>>> [ ] -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 v4.1.0-preview1-rc1 (commit f3ac67ee9b3):
>>>>>>> https://github.com/apache/spark/tree/v4.1.0-preview1-rc1
>>>>>>>
>>>>>>> The release files, including signatures, digests, etc. can be found
>>>>>>> at:
>>>>>>> https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview1-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-1500/
>>>>>>>
>>>>>>> The documentation corresponding to this release can be found at:
>>>>>>>
>>>>>>> https://dist.apache.org/repos/dist/dev/spark/v4.1.0-preview1-rc1-docs/
>>>>>>>
>>>>>>> The list of bug fixes going into 4.1.0-preview1 can be found at the
>>>>>>> following URL:
>>>>>>> https://issues.apache.org/jira/projects/SPARK/versions/12355581
>>>>>>>
>>>>>>> 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/v4.1.0-preview1-rc1-bin/pyspark-4.1.0-preview1.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: dev-unsubscr...@spark.apache.org
>>>>>>>
>>>>>>>

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