Hey All, Just a quick updated on this thread. Issues have continued to trickle in. Not all of them are blocker level but enough to warrant another RC:
I've been keeping the JIRA dashboard up and running with the latest status (sorry, long link): https://issues.apache.org/jira/issues/?jql=project%20%3D%20SPARK%20AND%20%22Target%20Version%2Fs%22%20%3D%201.3.0%20AND%20(fixVersion%20IS%20EMPTY%20OR%20fixVersion%20!%3D%201.3.0)%20AND%20(Resolution%20IS%20EMPTY%20OR%20Resolution%20IN%20(Done%2C%20Fixed%2C%20Implemented))%20ORDER%20BY%20priority%2C%20component One these are in I will cut another RC. Thanks everyone for the continued voting! - Patrick On Mon, Feb 23, 2015 at 10:52 PM, Tathagata Das <tathagata.das1...@gmail.com> wrote: > Hey all, > > I found a major issue where JobProgressListener (a listener used to keep > track of jobs for the web UI) never forgets stages in one of its data > structures. This is a blocker for long running applications. > https://issues.apache.org/jira/browse/SPARK-5967 > > I am testing a fix for this right now. > > TD > > On Mon, Feb 23, 2015 at 7:23 PM, Soumitra Kumar <kumar.soumi...@gmail.com> > wrote: > >> +1 (non-binding) >> >> For: https://issues.apache.org/jira/browse/SPARK-3660 >> >> . Docs OK >> . Example code is good >> >> -Soumitra. >> >> >> On Mon, Feb 23, 2015 at 10:33 AM, Marcelo Vanzin <van...@cloudera.com> >> wrote: >> >> > Hi Tom, are you using an sbt-built assembly by any chance? If so, take >> > a look at SPARK-5808. >> > >> > I haven't had any problems with the maven-built assembly. Setting >> > SPARK_HOME on the executors is a workaround if you want to use the sbt >> > assembly. >> > >> > On Fri, Feb 20, 2015 at 2:56 PM, Tom Graves >> > <tgraves...@yahoo.com.invalid> wrote: >> > > Trying to run pyspark on yarn in client mode with basic wordcount >> > example I see the following error when doing the collect: >> > > Error from python worker: /usr/bin/python: No module named >> > sqlPYTHONPATH was: >> > >> /grid/3/tmp/yarn-local/usercache/tgraves/filecache/20/spark-assembly-1.3.0-hadoop2.6.0.1.1411101121.jarjava.io.EOFException >> > at java.io.DataInputStream.readInt(DataInputStream.java:392) >> > at >> > >> org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:163) >> > at >> > >> org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:86) >> > at >> > >> org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62) >> > at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:105) >> > at >> org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:69) >> > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) >> > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) at >> > org.apache.spark.api.python.PairwiseRDD.compute(PythonRDD.scala:308) >> > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) >> > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) at >> > >> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68) >> > at >> > >> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) >> > at org.apache.spark.scheduler.Task.run(Task.scala:64) at >> > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:197) >> > at >> > >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >> > at >> > >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >> > at java.lang.Thread.run(Thread.java:722) >> > > any ideas on this? >> > > Tom >> > > >> > > On Wednesday, February 18, 2015 2:14 AM, Patrick Wendell < >> > pwend...@gmail.com> wrote: >> > > >> > > >> > > Please vote on releasing the following candidate as Apache Spark >> > version 1.3.0! >> > > >> > > The tag to be voted on is v1.3.0-rc1 (commit f97b0d4a): >> > > >> > >> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=f97b0d4a6b26504916816d7aefcf3132cd1da6c2 >> > > >> > > The release files, including signatures, digests, etc. can be found at: >> > > http://people.apache.org/~pwendell/spark-1.3.0-rc1/ >> > > >> > > 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-1069/ >> > > >> > > The documentation corresponding to this release can be found at: >> > > http://people.apache.org/~pwendell/spark-1.3.0-rc1-docs/ >> > > >> > > Please vote on releasing this package as Apache Spark 1.3.0! >> > > >> > > The vote is open until Saturday, February 21, at 08:03 UTC and passes >> > > if a majority of at least 3 +1 PMC votes are cast. >> > > >> > > [ ] +1 Release this package as Apache Spark 1.3.0 >> > > [ ] -1 Do not release this package because ... >> > > >> > > To learn more about Apache Spark, please see >> > > http://spark.apache.org/ >> > > >> > > == How can I help test this release? == >> > > If you are a Spark user, you can help us test this release by >> > > taking a Spark 1.2 workload and running on this release candidate, >> > > then reporting any regressions. >> > > >> > > == What justifies a -1 vote for this release? == >> > > This vote is happening towards the end of the 1.3 QA period, >> > > so -1 votes should only occur for significant regressions from 1.2.1. >> > > Bugs already present in 1.2.X, minor regressions, or bugs related >> > > to new features will not block this release. >> > > >> > > - Patrick >> > > >> > > --------------------------------------------------------------------- >> > > To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >> > > For additional commands, e-mail: dev-h...@spark.apache.org >> > > >> > > >> > > >> > > >> > >> > >> > >> > -- >> > Marcelo >> > >> > --------------------------------------------------------------------- >> > To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >> > For additional commands, e-mail: dev-h...@spark.apache.org >> > >> > >> --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
