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From Dongjoon Hyun <dongj...@apache.org>
Subject Re: [VOTE] Release Apache Spark 2.0.0 (RC5)
Date Thu, 21 Jul 2016 00:27:57 GMT
+1 (non-binding)

- MD5/SHA/GPG matched.
- Test passed on Ubuntu (16.04) +  Oracle JDK (1.7.0_80) + R(3.2.3)
  * build/mvn -Phive -Phadoop-2.7 -Pyarn clean package
  * python python/run-tests.py
  * R/install-dev.sh & R/run-tests.sh

Cheers!

Dongjoon.


On Tue, Jul 19, 2016 at 7:35 PM, Reynold Xin <rxin@databricks.com> wrote:

> Please vote on releasing the following candidate as Apache Spark version
> 2.0.0. The vote is open until Friday, July 22, 2016 at 20:00 PDT and passes
> if a majority of at least 3 +1 PMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 2.0.0
> [ ] -1 Do not release this package because ...
>
>
> The tag to be voted on is v2.0.0-rc5
> (13650fc58e1fcf2cf2a26ba11c819185ae1acc1f).
>
> This release candidate resolves ~2500 issues:
> https://s.apache.org/spark-2.0.0-jira
>
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-bin/
>
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc
>
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1195/
>
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc5-docs/
>
>
> =================================
> 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 from 1.x.
>
> ==========================================
> What justifies a -1 vote for this release?
> ==========================================
> Critical bugs impacting major functionalities.
>
> Bugs already present in 1.x, missing features, or bugs related to new
> features will not necessarily block this release. Note that historically
> Spark documentation has been published on the website separately from the
> main release so we do not need to block the release due to documentation
> errors either.
>
>

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