As for build and tests, all pass on both macOS 10 and Ubuntu 16.10, with Java 8.
./build/mvn -Phadoop-2.7 -Dhadoop.version=2.7.3 -Pyarn -Phive -Phive-thriftserver -Pscala-2.11 clean package On 8 May 2017 at 23:18, Joseph Bradley <jos...@databricks.com> wrote: > I'll work on resolving some of the ML QA blockers this week, but it'd be > great to get help. *@committers & contributors who work on ML*, many of > you have helped in the past, so please help take QA tasks wherever > possible. (Thanks Yanbo & Felix for jumping in already.) Anyone is > welcome to chip in of course! > Joseph > > On Thu, May 4, 2017 at 4:09 PM, Sean Owen <so...@cloudera.com> wrote: > >> The tests pass, licenses are OK, sigs, etc. I'd endorse it but we do >> still have blockers, so I assume people mean we need there will be another >> RC at some point. >> >> Blocker >> SPARK-20503 ML 2.2 QA: API: Python API coverage >> SPARK-20501 ML, Graph 2.2 QA: API: New Scala APIs, docs >> SPARK-20502 ML, Graph 2.2 QA: API: Experimental, DeveloperApi, final, >> sealed audit >> SPARK-20509 SparkR 2.2 QA: New R APIs and API docs >> SPARK-20504 ML 2.2 QA: API: Java compatibility, docs >> SPARK-20500 ML, Graph 2.2 QA: API: Binary incompatible changes >> >> Critical >> SPARK-20499 Spark MLlib, GraphX 2.2 QA umbrella >> SPARK-20520 R streaming tests failed on Windows >> SPARK-18891 Support for specific collection types >> SPARK-20505 ML, Graph 2.2 QA: Update user guide for new features & APIs >> SPARK-20364 Parquet predicate pushdown on columns with dots return empty >> results >> SPARK-20508 Spark R 2.2 QA umbrella >> SPARK-20512 SparkR 2.2 QA: Programming guide, migration guide, vignettes >> updates >> SPARK-20513 Update SparkR website for 2.2 >> SPARK-20510 SparkR 2.2 QA: Update user guide for new features & APIs >> SPARK-20507 Update MLlib, GraphX websites for 2.2 >> SPARK-20506 ML, Graph 2.2 QA: Programming guide update and migration guide >> SPARK-19690 Join a streaming DataFrame with a batch DataFrame may not work >> SPARK-7768 Make user-defined type (UDT) API public >> SPARK-4502 Spark SQL reads unneccesary nested fields from Parquet >> SPARK-17626 TPC-DS performance improvements using star-schema heuristics >> >> >> On Thu, May 4, 2017 at 6:07 PM Michael Armbrust <mich...@databricks.com> >> wrote: >> >>> Please vote on releasing the following candidate as Apache Spark >>> version 2.2.0. The vote is open until Tues, May 9th, 2017 at 12:00 PST >>> and passes if a majority of at least 3 +1 PMC votes are cast. >>> >>> [ ] +1 Release this package as Apache Spark 2.2.0 >>> [ ] -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 v2.2.0-rc2 >>> <https://github.com/apache/spark/tree/v2.2.0-rc2> (1d4017b44d5e6ad >>> 156abeaae6371747f111dd1f9) >>> >>> List of JIRA tickets resolved can be found with this filter >>> <https://issues.apache.org/jira/browse/SPARK-20134?jql=project%20%3D%20SPARK%20AND%20fixVersion%20%3D%202.2.0> >>> . >>> >>> The release files, including signatures, digests, etc. can be found at: >>> http://home.apache.org/~pwendell/spark-releases/spark-2.2.0-rc2-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-1236/ >>> >>> The documentation corresponding to this release can be found at: >>> http://people.apache.org/~pwendell/spark-releases/spark-2.2.0-rc2-docs/ >>> >>> >>> *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. >>> >>> *What should happen to JIRA tickets still targeting 2.2.0?* >>> >>> 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 2.3.0 or 2.2.1. >>> >>> *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 2.1.1. >>> >> > > > -- > > Joseph Bradley > > Software Engineer - Machine Learning > > Databricks, Inc. > > [image: http://databricks.com] <http://databricks.com/> >
