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From Dongjoon Hyun <dongjoon.h...@gmail.com>
Subject Re: [VOTE] SPARK 3.0.0-preview (RC2)
Date Fri, 01 Nov 2019 16:31:00 GMT
+1 for Apache Spark 3.0.0-preview (RC2).

Bests,
Dongjoon.

On Thu, Oct 31, 2019 at 11:36 PM Wenchen Fan <cloud0fan@gmail.com> wrote:

> The PR builder uses Hadoop 2.7 profile, which makes me think that 2.7 is
> more stable and we should make releases using 2.7 by default.
>
> +1
>
> On Fri, Nov 1, 2019 at 7:16 AM Xiao Li <lixiao@databricks.com> wrote:
>
>> Spark 3.0 will still use the Hadoop 2.7 profile by default, I think.
>> Hadoop 2.7 profile is much more stable than Hadoop 3.2 profile.
>>
>> On Thu, Oct 31, 2019 at 3:54 PM Sean Owen <srowen@gmail.com> wrote:
>>
>>> This isn't a big thing, but I see that the pyspark build includes
>>> Hadoop 2.7 rather than 3.2. Maybe later we change the build to put in
>>> 3.2 by default.
>>>
>>> Otherwise, the tests all seems to pass with JDK 8 / 11 with all
>>> profiles enabled, so I'm +1 on it.
>>>
>>>
>>> On Thu, Oct 31, 2019 at 1:00 AM Xingbo Jiang <jiangxb1987@gmail.com>
>>> wrote:
>>> >
>>> > Please vote on releasing the following candidate as Apache Spark
>>> version 3.0.0-preview.
>>> >
>>> > The vote is open until November 3 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 3.0.0-preview
>>> > [ ] -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 v3.0.0-preview-rc2 (commit
>>> 007c873ae34f58651481ccba30e8e2ba38a692c4):
>>> > https://github.com/apache/spark/tree/v3.0.0-preview-rc2
>>> >
>>> > The release files, including signatures, digests, etc. can be found at:
>>> > https://dist.apache.org/repos/dist/dev/spark/v3.0.0-preview-rc2-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-1336/
>>> >
>>> > The documentation corresponding to this release can be found at:
>>> > https://dist.apache.org/repos/dist/dev/spark/v3.0.0-preview-rc2-docs/
>>> >
>>> > The list of bug fixes going into 3.0.0 can be found at the following
>>> URL:
>>> > https://issues.apache.org/jira/projects/SPARK/versions/12339177
>>> >
>>> > 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 an out of date RC going forward).
>>> >
>>> > ===========================================
>>> > What should happen to JIRA tickets still targeting 3.0.0?
>>> > ===========================================
>>> >
>>> > The current list of open tickets targeted at 3.0.0 can be found at:
>>> > https://issues.apache.org/jira/projects/SPARK and search for "Target
>>> Version/s" = 3.0.0
>>> >
>>> > Committers should look at those and triage. Extremely important bug
>>> > fixes, documentation, and API tweaks that impact compatibility should
>>> > be worked on immediately.
>>> >
>>> > ==================
>>> > 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.
>>>
>>> ---------------------------------------------------------------------
>>> To unsubscribe e-mail: dev-unsubscribe@spark.apache.org
>>>
>>>
>>
>> --
>> [image: Databricks Summit - Watch the talks]
>> <https://databricks.com/sparkaisummit/north-america>
>>
>

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