-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 >>>>>>> >>>>>>>