+1 (non-binding) 郑瑞峰 <ruife...@foxmail.com> 于2021年4月29日周四 上午10:50写道: > > +1 (non-binding) > > Thanks, > ruifengz > > ------------------ 原始邮件 ------------------ > 发件人: "Hyukjin Kwon" <gurwls...@gmail.com>; > 发送时间: 2021年4月29日(星期四) 上午8:14 > 收件人: "Sean Owen"<sro...@apache.org>; > 抄送: "Liang-Chi Hsieh"<vii...@gmail.com>;"dev"<dev@spark.apache.org>; > 主题: Re: [VOTE] Release Spark 2.4.8 (RC3) > > +1 > > On Thu, 29 Apr 2021, 07:08 Sean Owen, <sro...@apache.org> wrote: >> >> +1 from me too, same result as last time. >> >> On Wed, Apr 28, 2021 at 11:33 AM Liang-Chi Hsieh <vii...@gmail.com> wrote: >>> >>> Please vote on releasing the following candidate as Apache Spark version >>> 2.4.8. >>> >>> The vote is open until May 4th at 9AM 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 2.4.8 >>> [ ] -1 Do not release this package because ... >>> >>> To learn more about Apache Spark, please see http://spark.apache.org/ >>> >>> There are currently no issues targeting 2.4.8 (try project = SPARK AND >>> "Target Version/s" = "2.4.8" AND status in (Open, Reopened, "In Progress")) >>> >>> The tag to be voted on is v2.4.8-rc3 (commit >>> e89526d2401b3a04719721c923a6f630e555e286): >>> https://github.com/apache/spark/tree/v2.4.8-rc3 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v2.4.8-rc3-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-1377/ >>> >>> The documentation corresponding to this release can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v2.4.8-rc3-docs/ >>> >>> The list of bug fixes going into 2.4.8 can be found at the following URL: >>> https://s.apache.org/spark-v2.4.8-rc3 >>> >>> This release is using the release script of the tag v2.4.8-rc3. >>> >>> 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 2.4.8? >>> =========================================== >>> >>> The current list of open tickets targeted at 2.4.8 can be found at: >>> https://issues.apache.org/jira/projects/SPARK and search for "Target >>> Version/s" = 2.4.8 >>> >>> 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 an >>> appropriate release. >>> >>> ================== >>> 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. >>> >>> >>> >>> -- >>> Sent from: http://apache-spark-developers-list.1001551.n3.nabble.com/ >>> >>> --------------------------------------------------------------------- >>> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org >>>
-- Kent Yao @ Data Science Center, Hangzhou Research Institute, NetEase Corp. a spark enthusiast kyuubiis a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark. spark-authorizerA Spark SQL extension which provides SQL Standard Authorization for Apache Spark. spark-postgres A library for reading data from and transferring data to Postgres / Greenplum with Spark SQL and DataFrames, 10~100x faster. itatchiA library that brings useful functions from various modern database management systems to Apache Spark. --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org