+1 (non-binding). On Tue, Feb 15, 2022 at 10:22 AM Ruifeng Zheng <ruife...@foxmail.com> wrote:
> +1 (non-binding) > > checked the release script issue Dongjoon mentioned: > > curl -s > https://dist.apache.org/repos/dist/dev/spark/v3.1.3-rc4-bin/spark-3.1.3-bin-hadoop2.7.tgz > | tar tz | grep hadoop-common > spark-3.1.3-bin-hadoop2.7/jars/hadoop-common-2.7.4 > > > ------------------ 原始邮件 ------------------ > *发件人:* "Sean Owen" <sro...@apache.org>; > *发送时间:* 2022年2月15日(星期二) 上午10:01 > *收件人:* "Holden Karau"<hol...@pigscanfly.ca>; > *抄送:* "dev"<dev@spark.apache.org>; > *主题:* Re: [VOTE] Spark 3.1.3 RC4 > > Looks good to me, same results as last RC, +1 > > On Mon, Feb 14, 2022 at 2:55 PM Holden Karau <hol...@pigscanfly.ca> wrote: > >> Please vote on releasing the following candidate as Apache Spark version >> 3.1.3. >> >> The vote is open until Feb. 18th at 1 PM pacific (9 PM GMT) and passes if >> a majority >> +1 PMC votes are cast, with a minimum of 3 + 1 votes. >> >> [ ] +1 Release this package as Apache Spark 3.1.3 >> [ ] -1 Do not release this package because ... >> >> To learn more about Apache Spark, please see http://spark.apache.org/ >> >> There are currently no open issues targeting 3.1.3 in Spark's JIRA >> https://issues.apache.org/jira/browse >> (try project = SPARK AND "Target Version/s" = "3.1.3" AND status in >> (Open, Reopened, "In Progress")) >> at https://s.apache.org/n79dw >> >> >> >> The tag to be voted on is v3.1.3-rc4 (commit >> d1f8a503a26bcfb4e466d9accc5fa241a7933667): >> https://github.com/apache/spark/tree/v3.1.3-rc4 >> >> The release files, including signatures, digests, etc. can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v3.1.3-rc4-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-1401 >> >> The documentation corresponding to this release can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v3.1.3-rc4-docs/ >> >> The list of bug fixes going into 3.1.3 can be found at the following URL: >> https://s.apache.org/x0q9b >> >> This release is using the release script from 3.1.3 >> The release docker container was rebuilt since the previous version >> didn't have the necessary components to build the R documentation. >> >> 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 3.1.3? >> =========================================== >> >> The current list of open tickets targeted at 3.1.3 can be found at: >> https://issues.apache.org/jira/projects/SPARK and search for "Target >> Version/s" = 3.1.3 >> >> 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 that is a regression >> that has not been correctly targeted please ping me or a committer to >> help target the issue. >> >> Note: I added an extra day to the vote since I know some folks are likely >> busy on the 14th with partner(s). >> >> >> -- >> Twitter: https://twitter.com/holdenkarau >> Books (Learning Spark, High Performance Spark, etc.): >> https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9> >> YouTube Live Streams: https://www.youtube.com/user/holdenkarau >> >
