+1 for Apache Spark 3.0.0-preview (RC2). Bests, Dongjoon.
On Thu, Oct 31, 2019 at 11:36 PM 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> >> >
