Re: [VOTE] Release Spark 4.1.0-preview1 (RC1)

Thu, 10 Jul 2025 12:07:16 -0700

+1 (non-binding) 
—
Sent from my iPhone
Pardon the dumb thumb typos :)

On Jul 10, 2025, at 8:04 AM, Peter Toth <peter.t...@gmail.com> wrote:


+1

On Thu, Jul 10, 2025 at 9:12 AM Kent Yao <y...@apache.org> wrote:
Thank you all for the verification, +1

Kent 

在 2025年7月10日星期四，Hyukjin Kwon <gurwls...@apache.org> 写道：
It was a mistake in the email. The artifact shouldn't have a problem.

On Thu, 10 Jul 2025 at 16:00, Hyukjin Kwon <gurwls...@apache.org> wrote:
oh yeah. I think I should change the email contents.

On Thu, 10 Jul 2025 at 15:02, Saruta, Kousuke <saru...@amazon.co.jp.invalid> wrote:

Using dev1 rather than preview1 seems intended.

https://github.com/apache/spark/blob/v4.1.0-preview1-rc1/dev/create-release/release-build.sh#L127

 

送信元: Jungtaek Lim <kabhwan.opensou...@gmail.com>
日付: 2025年7月10日 木曜日 14:30
宛先: Kent Yao <y...@apache.org>
Cc: Anton Okolnychyi <aokolnyc...@gmail.com>, Max Gekk <max.g...@gmail.com>, Sandy Ryza <sa...@databricks.com.invalid>, Wenchen Fan <cloud0...@gmail.com>, Kousuke Saruta <saru...@apache.org>, "dev@spark.apache.org" <dev@spark.apache.org>
件名: RE: [EXTERNAL] [VOTE] Release Spark 4.1.0-preview1 (RC1)

 

CAUTION: This email originated from outside of the organization. Do not click links or open attachments unless you can confirm the sender and know the content is safe.

 

I think we used "dev1" for 4.0.0 "preview1" as well. I guess this is based on the name convention on python?

 

On Thu, Jul 10, 2025 at 1:07 PM Kent Yao <y...@apache.org> wrote:

-1,

 

 

 

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).

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