spark-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Wenchen Fan <cloud0...@gmail.com>
Subject Re: [VOTE] SPARK 3.0.0-preview (RC2)
Date Fri, 01 Nov 2019 06:26:43 GMT
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>
>

Mime
View raw message