+1 > 在 2018年10月30日，上午10:41，Sean Owen <sro...@gmail.com> 写道： > > +1 > > Same result as in RC4 from me, and the issues I know of that were > raised with RC4 are resolved. I tested vs Scala 2.12 and 2.11. > > These items are still targeted to 2.4.0; Xiangrui I assume these > should just be untargeted now, or resolved? > SPARK-25584 Document libsvm data source in doc site > SPARK-25346 Document Spark builtin data sources > SPARK-24464 Unit tests for MLlib's Instrumentation > On Mon, Oct 29, 2018 at 5:22 AM Wenchen Fan <cloud0...@gmail.com> wrote: >> >> Please vote on releasing the following candidate as Apache Spark version >> 2.4.0. >> >> The vote is open until November 1 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 2.4.0 >> [ ] -1 Do not release this package because ... >> >> To learn more about Apache Spark, please see http://spark.apache.org/ >> >> The tag to be voted on is v2.4.0-rc5 (commit >> 0a4c03f7d084f1d2aa48673b99f3b9496893ce8d): >> https://github.com/apache/spark/tree/v2.4.0-rc5 >> >> The release files, including signatures, digests, etc. can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v2.4.0-rc5-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-1291 >> >> The documentation corresponding to this release can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v2.4.0-rc5-docs/ >> >> The list of bug fixes going into 2.4.0 can be found at the following URL: >> https://issues.apache.org/jira/projects/SPARK/versions/12342385 >> >> 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 you don't end up building with a out of date RC going forward). >> >> =========================================== >> What should happen to JIRA tickets still targeting 2.4.0? >> =========================================== >> >> The current list of open tickets targeted at 2.4.0 can be found at: >> https://issues.apache.org/jira/projects/SPARK and search for "Target >> Version/s" = 2.4.0 >> >> 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 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. > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org >
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