Aside from the other issues mentioned here, which probably do require another RC, this looks pretty good to me.
I built on Ubuntu 19 and ran with Java 11, -Pspark-ganglia-lgpl -Pkinesis-asl -Phadoop-3.2 -Phive-2.3 -Pyarn -Pmesos -Pkubernetes -Phive-thriftserver -Djava.version=11 I did see the following test failures, but as usual, I'm not sure whether it's specific to me. Anyone else see these, particularly the R warnings? PythonUDFSuite: org.apache.spark.sql.execution.python.PythonUDFSuite *** ABORTED *** java.lang.RuntimeException: Unable to load a Suite class that was discovered in the runpath: org.apache.spark.sql.execution.python.PythonUDFSuite at org.scalatest.tools.DiscoverySuite$.getSuiteInstance(DiscoverySuite.scala:81) at org.scalatest.tools.DiscoverySuite.$anonfun$nestedSuites$1(DiscoverySuite.scala:38) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) at scala.collection.Iterator.foreach(Iterator.scala:941) at scala.collection.Iterator.foreach$(Iterator.scala:941) at scala.collection.AbstractIterator.foreach(Iterator.scala:1429) at scala.collection.IterableLike.foreach(IterableLike.scala:74) at scala.collection.IterableLike.foreach$(IterableLike.scala:73) at scala.collection.AbstractIterable.foreach(Iterable.scala:56) at scala.collection.TraversableLike.map(TraversableLike.scala:238) - SPARK-25158: Executor accidentally exit because ScriptTransformationWriterThread throw Exception *** FAILED *** Expected exception org.apache.spark.SparkException to be thrown, but no exception was thrown (SQLQuerySuite.scala:2384) * checking for missing documentation entries ... WARNING Undocumented code objects: ‘%<=>%’ ‘add_months’ ‘agg’ ‘approxCountDistinct’ ‘approxQuantile’ ‘approx_count_distinct’ ‘arrange’ ‘array_contains’ ‘array_distinct’ ... WARNING ‘qpdf’ is needed for checks on size reduction of PDFs On Tue, Mar 31, 2020 at 10:04 PM Reynold Xin <r...@databricks.com> wrote: > > Please vote on releasing the following candidate as Apache Spark version > 3.0.0. > > The vote is open until 11:59pm Pacific time Fri Apr 3, and passes if a > majority +1 PMC votes are cast, with a minimum of 3 +1 votes. > > [ ] +1 Release this package as Apache Spark 3.0.0 > [ ] -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 v3.0.0-rc1 (commit > 6550d0d5283efdbbd838f3aeaf0476c7f52a0fb1): > https://github.com/apache/spark/tree/v3.0.0-rc1 > > The release files, including signatures, digests, etc. can be found at: > https://dist.apache.org/repos/dist/dev/spark/v3.0.0-rc1-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-1341/ > > The documentation corresponding to this release can be found at: > https://dist.apache.org/repos/dist/dev/spark/v3.0.0-rc1-docs/ > > The list of bug fixes going into 2.4.5 can be found at the following URL: > https://issues.apache.org/jira/projects/SPARK/versions/12339177 > > This release is using the release script of the tag v3.0.0-rc1. > > > 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 3.0.0? > =========================================== > The current list of open tickets targeted at 3.0.0 can be found at: > https://issues.apache.org/jira/projects/SPARK and search for "Target > Version/s" = 3.0.0 > > 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. > > > Note: I fully expect this RC to fail. > > > --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org