+1, too. On Sat, Nov 2, 2019 at 3:36 AM Hyukjin Kwon <gurwls...@gmail.com> wrote:
> +1 > > On Fri, 1 Nov 2019, 15:36 Wenchen Fan, <cloud0...@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 <lix...@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 <sro...@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 <jiangxb1...@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-unsubscr...@spark.apache.org >>>> >>>> >>> >>> -- >>> [image: Databricks Summit - Watch the talks] >>> <https://databricks.com/sparkaisummit/north-america> >>> >> -- --- Takeshi Yamamuro
