PR is here: https://github.com/apache/spark/pull/18112 <https://github.com/apache/spark/pull/18112>
> On May 25, 2017, at 10:28 AM, Michael Allman <mich...@videoamp.com> wrote: > > Michael, > > If you haven't started cutting the new RC, I'm working on a documentation PR > right now I'm hoping we can get into Spark 2.2 as a migration note, even if > it's just a mention: https://issues.apache.org/jira/browse/SPARK-20888 > <https://issues.apache.org/jira/browse/SPARK-20888>. > > Michael > > >> On May 22, 2017, at 11:39 AM, Michael Armbrust <mich...@databricks.com >> <mailto:mich...@databricks.com>> wrote: >> >> I'm waiting for SPARK-20814 >> <https://issues.apache.org/jira/browse/SPARK-20814> at Marcelo's request and >> I'd also like to include SPARK-20844 >> <https://issues.apache.org/jira/browse/SPARK-20844>. I think we should be >> able to cut another RC midweek. >> >> On Fri, May 19, 2017 at 11:53 AM, Nick Pentreath <nick.pentre...@gmail.com >> <mailto:nick.pentre...@gmail.com>> wrote: >> All the outstanding ML QA doc and user guide items are done for 2.2 so from >> that side we should be good to cut another RC :) >> >> >> On Thu, 18 May 2017 at 00:18 Russell Spitzer <russell.spit...@gmail.com >> <mailto:russell.spit...@gmail.com>> wrote: >> Seeing an issue with the DataScanExec and some of our integration tests for >> the SCC. Running dataframe read and writes from the shell seems fine but the >> Redaction code seems to get a "None" when doing >> SparkSession.getActiveSession.get in our integration tests. I'm not sure why >> but i'll dig into this later if I get a chance. >> >> Example Failed Test >> https://github.com/datastax/spark-cassandra-connector/blob/v2.0.1/spark-cassandra-connector/src/it/scala/com/datastax/spark/connector/sql/CassandraSQLSpec.scala#L311 >> >> <https://github.com/datastax/spark-cassandra-connector/blob/v2.0.1/spark-cassandra-connector/src/it/scala/com/datastax/spark/connector/sql/CassandraSQLSpec.scala#L311> >> >> ```[info] org.apache.spark.SparkException: Job aborted due to stage >> failure: Task serialization failed: java.util.NoSuchElementException: >> None.get >> [info] java.util.NoSuchElementException: None.get >> [info] at scala.None$.get(Option.scala:347) >> [info] at scala.None$.get(Option.scala:345) >> [info] at org.apache.spark.sql.execution.DataSourceScanExec$class.org >> <http://class.org/>$apache$spark$sql$execution$DataSourceScanExec$$redact(DataSourceScanExec.scala:70) >> [info] at >> org.apache.spark.sql.execution.DataSourceScanExec$$anonfun$4.apply(DataSourceScanExec.scala:54) >> [info] at >> org.apache.spark.sql.execution.DataSourceScanExec$$anonfun$4.apply(DataSourceScanExec.scala:52) >> ``` >> >> Again this only seems to repo in our IT suite so i'm not sure if this is a >> real issue. >> >> >> On Tue, May 16, 2017 at 1:40 PM Joseph Bradley <jos...@databricks.com >> <mailto:jos...@databricks.com>> wrote: >> All of the ML/Graph/SparkR QA blocker JIRAs have been resolved. Thanks >> everyone who helped out on those! >> >> We still have open ML/Graph/SparkR JIRAs targeted at 2.2, but they are >> essentially all for documentation. >> >> Joseph >> >> On Thu, May 11, 2017 at 3:08 PM, Marcelo Vanzin <van...@cloudera.com >> <mailto:van...@cloudera.com>> wrote: >> Since you'll be creating a new RC, I'd wait until SPARK-20666 is >> fixed, since the change that caused it is in branch-2.2. Probably a >> good idea to raise it to blocker at this point. >> >> On Thu, May 11, 2017 at 2:59 PM, Michael Armbrust >> <mich...@databricks.com <mailto:mich...@databricks.com>> wrote: >> > I'm going to -1 given the outstanding issues and lack of +1s. I'll create >> > another RC once ML has had time to take care of the more critical problems. >> > In the meantime please keep testing this release! >> > >> > On Tue, May 9, 2017 at 2:00 AM, Kazuaki Ishizaki <ishiz...@jp.ibm.com >> > <mailto:ishiz...@jp.ibm.com>> >> > wrote: >> >> >> >> +1 (non-binding) >> >> >> >> I tested it on Ubuntu 16.04 and OpenJDK8 on ppc64le. All of the tests for >> >> core have passed. >> >> >> >> $ java -version >> >> openjdk version "1.8.0_111" >> >> OpenJDK Runtime Environment (build >> >> 1.8.0_111-8u111-b14-2ubuntu0.16.04.2-b14) >> >> OpenJDK 64-Bit Server VM (build 25.111-b14, mixed mode) >> >> $ build/mvn -DskipTests -Phive -Phive-thriftserver -Pyarn -Phadoop-2.7 >> >> package install >> >> $ build/mvn -Phive -Phive-thriftserver -Pyarn -Phadoop-2.7 test -pl core >> >> ... >> >> Run completed in 15 minutes, 12 seconds. >> >> Total number of tests run: 1940 >> >> Suites: completed 206, aborted 0 >> >> Tests: succeeded 1940, failed 0, canceled 4, ignored 8, pending 0 >> >> All tests passed. >> >> [INFO] >> >> ------------------------------------------------------------------------ >> >> [INFO] BUILD SUCCESS >> >> [INFO] >> >> ------------------------------------------------------------------------ >> >> [INFO] Total time: 16:51 min >> >> [INFO] Finished at: 2017-05-09T17:51:04+09:00 >> >> [INFO] Final Memory: 53M/514M >> >> [INFO] >> >> ------------------------------------------------------------------------ >> >> [WARNING] The requested profile "hive" could not be activated because it >> >> does not exist. >> >> >> >> >> >> Kazuaki Ishizaki, >> >> >> >> >> >> >> >> From: Michael Armbrust <mich...@databricks.com >> >> <mailto:mich...@databricks.com>> >> >> To: "dev@spark.apache.org <mailto:dev@spark.apache.org>" >> >> <dev@spark.apache.org <mailto:dev@spark.apache.org>> >> >> Date: 2017/05/05 02:08 >> >> Subject: [VOTE] Apache Spark 2.2.0 (RC2) >> >> ________________________________ >> >> >> >> >> >> >> >> 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/ >> >> <http://spark.apache.org/> >> >> >> >> The tag to be voted on is v2.2.0-rc2 >> >> (1d4017b44d5e6ad156abeaae6371747f111dd1f9) >> >> >> >> List of JIRA tickets resolved can be found with this filter. >> >> >> >> The release files, including signatures, digests, etc. can be found at: >> >> http://home.apache.org/~pwendell/spark-releases/spark-2.2.0-rc2-bin/ >> >> <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 >> >> <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/ >> >> <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/ >> >> <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. >> >> >> > >> >> >> >> -- >> Marcelo >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org >> <mailto:dev-unsubscr...@spark.apache.org> >> >> >> >> >> -- >> Joseph Bradley >> Software Engineer - Machine Learning >> Databricks, Inc. >> <http://databricks.com/> >> >
