+1
Wenchen Fan <cloud0...@gmail.com>于2018年2月20日 周二下午1:09写道： > +1 > > On Tue, Feb 20, 2018 at 12:53 PM, Reynold Xin <r...@databricks.com> wrote: > >> +1 >> >> On Feb 20, 2018, 5:51 PM +1300, Sameer Agarwal <sameer.a...@gmail.com>, >> wrote: >> >> this file shouldn't be included? >>> https://dist.apache.org/repos/dist/dev/spark/v2.3.0-rc4-bin/spark-parent_2.11.iml >>> >> >> I've now deleted this file >> >> *From:* Sameer Agarwal <sameer.a...@gmail.com> >>> *Sent:* Saturday, February 17, 2018 1:43:39 PM >>> *To:* Sameer Agarwal >>> *Cc:* dev >>> *Subject:* Re: [VOTE] Spark 2.3.0 (RC4) >>> >>> I'll start with a +1 once again. >>> >>> All blockers reported against RC3 have been resolved and the builds are >>> healthy. >>> >>> On 17 February 2018 at 13:41, 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 Thursday February 22, 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-rc4: >>>> https://github.com/apache/spark/tree/v2.3.0-rc4 >>>> (44095cb65500739695b0324c177c19dfa1471472) >>>> >>>> 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-rc4-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-1265/ >>>> >>>> The documentation corresponding to this release can be found at: >>>> >>>> https://dist.apache.org/repos/dist/dev/spark/v2.3.0-rc4-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). >>>> >>> >>> >>> >>> -- >>> Sameer Agarwal >>> Computer Science | UC Berkeley >>> http://cs.berkeley.edu/~sameerag >>> >> >> >> >> -- >> Sameer Agarwal >> Computer Science | UC Berkeley >> http://cs.berkeley.edu/~sameerag >> >> >
