+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/orgapache >>>>>>>>>> spark-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 >
