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From Saisai Shao <sai.sai.s...@gmail.com>
Subject Re: [VOTE] SPARK 2.4.0 (RC1)
Date Tue, 18 Sep 2018 01:46:30 GMT
Hi Wenchen,

I think you need to set SPHINXPYTHON to python3 before building the docs,
to workaround the doc issue (
https://dist.apache.org/repos/dist/dev/spark/v2.4.0-rc1-docs/_site/api/python/pyspark.ml.html#pyspark.ml.classification.LogisticRegression
).

Here is the notes for release page:


>    - Ensure you have Python 3 having Sphinx installed, and SPHINXPYTHON environment
>    variable is set to indicate your Python 3 executable (see SPARK-24530).
>
>
Wenchen Fan <cloud0fan@gmail.com> 于2018年9月17日周一 上午10:48写道:

> Please vote on releasing the following candidate as Apache Spark version
> 2.4.0.
>
> The vote is open until September 20 PST and passes if a majority +1 PMC
> votes are cast, with
> a minimum of 3 +1 votes.
>
> [ ] +1 Release this package as Apache Spark 2.4.0
> [ ] -1 Do not release this package because ...
>
> To learn more about Apache Spark, please see http://spark.apache.org/
>
> The tag to be voted on is v2.4.0-rc1 (commit
> 1220ab8a0738b5f67dc522df5e3e77ffc83d207a):
> https://github.com/apache/spark/tree/v2.4.0-rc1
>
> The release files, including signatures, digests, etc. can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v2.4.0-rc1-bin/
>
> Signatures used for Spark RCs can be found in this file:
> https://dist.apache.org/repos/dist/dev/spark/KEYS
>
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1285/
>
> The documentation corresponding to this release can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v2.4.0-rc1-docs/
>
> The list of bug fixes going into 2.4.0 can be found at the following URL:
> https://issues.apache.org/jira/projects/SPARK/versions/2.4.0
>
> 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 and see if anything important breaks, in the Java/Scala
> you can add the staging repository to your projects resolvers and test
> with the RC (make sure to clean up the artifact cache before/after so
> you don't end up building with a out of date RC going forward).
>
> ===========================================
> What should happen to JIRA tickets still targeting 2.4.0?
> ===========================================
>
> The current list of open tickets targeted at 2.4.0 can be found at:
> https://issues.apache.org/jira/projects/SPARK and search for "Target
> Version/s" = 2.4.0
>
> Committers should look at those and triage. Extremely important bug
> fixes, documentation, and API tweaks that impact compatibility should
> be worked on immediately. Everything else please retarget to an
> appropriate release.
>
> ==================
> But my bug isn't fixed?
> ==================
>
> In order to make timely releases, we will typically not hold the
> release unless the bug in question is a regression from the previous
> release. That being said, if there is something which is a regression
> that has not been correctly targeted please ping me or a committer to
> help target the issue.
>

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