Signatures and hashes are OK. I built and ran tests successfully on Ubuntu 16 + Java 8 with "-Phive -Phadoop-2.7 -Pyarn". Although I encountered a few tests failures, none were repeatable.
Regarding other issues brought up so far: SPARK-16522 Does not seem quite enough to be a blocker if it's just an error at shutdown that does not affect the result. If there's another RC, worth fixing. SPARK-15899 Not a blocker. Only affects Windows and possibly even only affects tests. Not a regression. SPARK-16515 Not sure but Cheng please mark it a Blocker if you're pretty confident it must be fixed. Davies marked SPARK-16011 a Blocker, though should confirm that it's for 2.0.0. That's the only one officially open now. So I suppose that's provisionally a -1 from me as it's not clear there aren't blocking issues. It's close, and this should be tested by everyone. Remaining Critical issues are below. I'm still uncomfortable with documentation issues for 2.0 not being done before 2.0. If anyone's intent is to release and then finish the docs a few days later, I'd vote against that. There's just no rush that makes that make sense. However it's entirely possible that the remaining work is not essential for 2.0; I don't know. These should be retitled then. But to make this make sense, one or the other needs to happen. "Audit" JIRAs are similar, especially before a major release. SPARK-13393 Column mismatch issue in left_outer join using Spark DataFrame SPARK-13753 Column nullable is derived incorrectly SPARK-13959 Audit MiMa excludes added in SPARK-13948 to make sure none are unintended incompatibilities SPARK-14808 Spark MLlib, GraphX, SparkR 2.0 QA umbrella SPARK-14816 Update MLlib, GraphX, SparkR websites for 2.0 SPARK-14817 ML, Graph, R 2.0 QA: Programming guide update and migration guide SPARK-14823 Fix all references to HiveContext in comments and docs SPARK-15340 Limit the size of the map used to cache JobConfs to void OOM SPARK-15393 Writing empty Dataframes doesn't save any _metadata files SPARK-15703 Spark UI doesn't show all tasks as completed when it should SPARK-15944 Make spark.ml package backward compatible with spark.mllib vectors SPARK-16032 Audit semantics of various insertion operations related to partitioned tables SPARK-16090 Improve method grouping in SparkR generated docs SPARK-16301 Analyzer rule for resolving using joins should respect case sensitivity setting On Thu, Jul 14, 2016 at 7:59 PM, Reynold Xin <r...@databricks.com> wrote: > Please vote on releasing the following candidate as Apache Spark version > 2.0.0. The vote is open until Sunday, July 17, 2016 at 12:00 PDT and passes > if a majority of at least 3 +1 PMC votes are cast. > > [ ] +1 Release this package as Apache Spark 2.0.0 > [ ] -1 Do not release this package because ... > > > The tag to be voted on is v2.0.0-rc4 > (e5f8c1117e0c48499f54d62b556bc693435afae0). > > This release candidate resolves ~2500 issues: > https://s.apache.org/spark-2.0.0-jira > > The release files, including signatures, digests, etc. can be found at: > http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc4-bin/ > > Release artifacts are signed with the following key: > https://people.apache.org/keys/committer/pwendell.asc > > The staging repository for this release can be found at: > https://repository.apache.org/content/repositories/orgapachespark-1192/ > > The documentation corresponding to this release can be found at: > http://people.apache.org/~pwendell/spark-releases/spark-2.0.0-rc4-docs/ > > > ================================= > 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 from 1.x. > > ========================================== > What justifies a -1 vote for this release? > ========================================== > Critical bugs impacting major functionalities. > > Bugs already present in 1.x, missing features, or bugs related to new > features will not necessarily block this release. Note that historically > Spark documentation has been published on the website separately from the > main release so we do not need to block the release due to documentation > errors either. > > > Note: There was a mistake made during "rc3" preparation, and as a result > there is no "rc3", but only "rc4". > --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
