+1 (binding) Built and ran Scala tests with "-Phadoop-2.6 -Pyarn -Phive", all passed.
Python tests passed (also including pyspark-streaming w/kafka-0.8 and flume packages built) On Tue, 27 Feb 2018 at 10:09 Felix Cheung <felixcheun...@hotmail.com> wrote: > +1 > > Tested R: > > install from package, CRAN tests, manual tests, help check, vignettes check > > Filed this https://issues.apache.org/jira/browse/SPARK-23461 > This is not a regression so not a blocker of the release. > > Tested this on win-builder and r-hub. On r-hub on multiple platforms > everything passed. For win-builder tests failed on x86 but passed x64 - > perhaps due to an intermittent download issue causing a gzip error, > re-testing now but won’t hold the release on this. > > ------------------------------ > *From:* Nan Zhu <zhunanmcg...@gmail.com> > *Sent:* Monday, February 26, 2018 4:03:22 PM > *To:* Michael Armbrust > *Cc:* dev > *Subject:* Re: [VOTE] Spark 2.3.0 (RC5) > > +1 (non-binding), tested with internal workloads and benchmarks > > On Mon, Feb 26, 2018 at 12:09 PM, Michael Armbrust <mich...@databricks.com > > wrote: > >> +1 all our pipelines have been running the RC for several days now. >> >> On Mon, Feb 26, 2018 at 10:33 AM, Dongjoon Hyun <dongjoon.h...@gmail.com> >> wrote: >> >>> +1 (non-binding). >>> >>> Bests, >>> Dongjoon. >>> >>> >>> >>> On Mon, Feb 26, 2018 at 9:14 AM, Ryan Blue <rb...@netflix.com.invalid> >>> wrote: >>> >>>> +1 (non-binding) >>>> >>>> On Sat, Feb 24, 2018 at 4:17 PM, Xiao Li <gatorsm...@gmail.com> wrote: >>>> >>>>> +1 (binding) in Spark SQL, Core and PySpark. >>>>> >>>>> Xiao >>>>> >>>>> 2018-02-24 14:49 GMT-08:00 Ricardo Almeida < >>>>> ricardo.alme...@actnowib.com>: >>>>> >>>>>> +1 (non-binding) >>>>>> >>>>>> same as previous RC >>>>>> >>>>>> On 24 February 2018 at 11:10, Hyukjin Kwon <gurwls...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> +1 >>>>>>> >>>>>>> 2018-02-24 16:57 GMT+09:00 Bryan Cutler <cutl...@gmail.com>: >>>>>>> >>>>>>>> +1 >>>>>>>> Tests passed and additionally ran Arrow related tests and did some >>>>>>>> perf checks with python 2.7.14 >>>>>>>> >>>>>>>> On Fri, Feb 23, 2018 at 6:18 PM, Holden Karau <hol...@pigscanfly.ca >>>>>>>> > wrote: >>>>>>>> >>>>>>>>> Note: given the state of Jenkins I'd love to see Bryan Cutler or >>>>>>>>> someone with Arrow experience sign off on this release. >>>>>>>>> >>>>>>>>> On Fri, Feb 23, 2018 at 6:13 PM, Cheng Lian <lian.cs....@gmail.com >>>>>>>>> > wrote: >>>>>>>>> >>>>>>>>>> +1 (binding) >>>>>>>>>> >>>>>>>>>> Passed all the tests, looks good. >>>>>>>>>> >>>>>>>>>> Cheng >>>>>>>>>> >>>>>>>>>> On 2/23/18 15:00, Holden Karau wrote: >>>>>>>>>> >>>>>>>>>> +1 (binding) >>>>>>>>>> PySpark artifacts install in a fresh Py3 virtual env >>>>>>>>>> >>>>>>>>>> On Feb 23, 2018 7:55 AM, "Denny Lee" <denny.g....@gmail.com> >>>>>>>>>> wrote: >>>>>>>>>> >>>>>>>>>>> +1 (non-binding) >>>>>>>>>>> >>>>>>>>>>> On Fri, Feb 23, 2018 at 07:08 Josh Goldsborough < >>>>>>>>>>> joshgoldsboroughs...@gmail.com> wrote: >>>>>>>>>>> >>>>>>>>>>>> New to testing out Spark RCs for the community but I was able >>>>>>>>>>>> to run some of the basic unit tests without error so for what it's >>>>>>>>>>>> worth, >>>>>>>>>>>> I'm a +1. >>>>>>>>>>>> >>>>>>>>>>>> On Thu, Feb 22, 2018 at 4:23 PM, Sameer Agarwal < >>>>>>>>>>>> samee...@apache.org> wrote: >>>>>>>>>>>> >>>>>>>>>>>>> Please vote on releasing the following candidate as Apache >>>>>>>>>>>>> Spark version 2.3.0. The vote is open until Tuesday February 27, >>>>>>>>>>>>> 2018 at >>>>>>>>>>>>> 8:00:00 am UTC and passes if a majority of at least 3 PMC +1 >>>>>>>>>>>>> votes are cast. >>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>>> [ ] +1 Release this package as Apache Spark 2.3.0 >>>>>>>>>>>>> >>>>>>>>>>>>> [ ] -1 Do not release this package because ... >>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>>> To learn more about Apache Spark, please see >>>>>>>>>>>>> https://spark.apache.org/ >>>>>>>>>>>>> >>>>>>>>>>>>> The tag to be voted on is v2.3.0-rc5: >>>>>>>>>>>>> https://github.com/apache/spark/tree/v2.3.0-rc5 >>>>>>>>>>>>> (992447fb30ee9ebb3cf794f2d06f4d63a2d792db) >>>>>>>>>>>>> >>>>>>>>>>>>> List of JIRA tickets resolved in this release can be found >>>>>>>>>>>>> here: >>>>>>>>>>>>> https://issues.apache.org/jira/projects/SPARK/versions/12339551 >>>>>>>>>>>>> >>>>>>>>>>>>> The release files, including signatures, digests, etc. can be >>>>>>>>>>>>> found at: >>>>>>>>>>>>> https://dist.apache.org/repos/dist/dev/spark/v2.3.0-rc5-bin/ >>>>>>>>>>>>> >>>>>>>>>>>>> Release artifacts are signed with the following key: >>>>>>>>>>>>> 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-1266/ >>>>>>>>>>>>> >>>>>>>>>>>>> The documentation corresponding to this release can be found >>>>>>>>>>>>> at: >>>>>>>>>>>>> >>>>>>>>>>>>> https://dist.apache.org/repos/dist/dev/spark/v2.3.0-rc5-docs/_site/index.html >>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>>> FAQ >>>>>>>>>>>>> >>>>>>>>>>>>> ======================================= >>>>>>>>>>>>> What are the unresolved issues targeted for 2.3.0? >>>>>>>>>>>>> ======================================= >>>>>>>>>>>>> >>>>>>>>>>>>> Please see https://s.apache.org/oXKi. At the time of writing, >>>>>>>>>>>>> there are currently no known release blockers. >>>>>>>>>>>>> >>>>>>>>>>>>> ========================= >>>>>>>>>>>>> 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 a out of date RC going forward). >>>>>>>>>>>>> >>>>>>>>>>>>> =========================================== >>>>>>>>>>>>> What should happen to JIRA tickets still targeting 2.3.0? >>>>>>>>>>>>> =========================================== >>>>>>>>>>>>> >>>>>>>>>>>>> Committers should look at those and triage. Extremely >>>>>>>>>>>>> important bug fixes, documentation, and API tweaks that impact >>>>>>>>>>>>> compatibility should be worked on immediately. Everything else >>>>>>>>>>>>> please >>>>>>>>>>>>> retarget to 2.3.1 or 2.4.0 as appropriate. >>>>>>>>>>>>> >>>>>>>>>>>>> =================== >>>>>>>>>>>>> Why is my bug not fixed? >>>>>>>>>>>>> =================== >>>>>>>>>>>>> >>>>>>>>>>>>> In order to make timely releases, we will typically not hold >>>>>>>>>>>>> the release unless the bug in question is a regression from >>>>>>>>>>>>> 2.2.0. That >>>>>>>>>>>>> being said, if there is something which is a regression from >>>>>>>>>>>>> 2.2.0 and has >>>>>>>>>>>>> not been correctly targeted please ping me or a committer to help >>>>>>>>>>>>> target >>>>>>>>>>>>> the issue (you can see the open issues listed as impacting Spark >>>>>>>>>>>>> 2.3.0 at >>>>>>>>>>>>> https://s.apache.org/WmoI). >>>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> -- >>>>>>>>> Twitter: https://twitter.com/holdenkarau >>>>>>>>> >>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>>> >>>> -- >>>> Ryan Blue >>>> Software Engineer >>>> Netflix >>>> >>> >>> >> >