This vote passes! I'll follow up with a formal release announcement soon. +1: Sean Owen (binding) Wenchen Fan (binding) Hyukjin Kwon (binding) Dongjoon Hyun (binding) Takeshi Yamamuro
+0: None -1: None Thanks, everyone! Xingbo On Mon, Nov 4, 2019 at 9:35 AM Dongjoon Hyun <dongjoon.h...@gmail.com> wrote: > Hi, Xingbo. > > Could you sent a vote result email to finalize this vote, please? > > Bests, > Dongjoon. > > On Fri, Nov 1, 2019 at 2:55 PM Takeshi Yamamuro <linguin....@gmail.com> > wrote: > >> +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 >> >
