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From Tathagata Das <tathagata.das1...@gmail.com>
Subject Re: [VOTE] Release Apache Spark 1.3.0 (RC1)
Date Tue, 24 Feb 2015 06:52:44 GMT
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.soumitra@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 <vanzin@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_cs@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 <
> > pwendell@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-unsubscribe@spark.apache.org
> > > For additional commands, e-mail: dev-help@spark.apache.org
> > >
> > >
> > >
> > >
> >
> >
> >
> > --
> > Marcelo
> >
> > ---------------------------------------------------------------------
> > To unsubscribe, e-mail: dev-unsubscribe@spark.apache.org
> > For additional commands, e-mail: dev-help@spark.apache.org
> >
> >
>

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