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https://issues.apache.org/jira/browse/SPARK-4267?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14209325#comment-14209325
]
Matthew Daniel commented on SPARK-4267:
---------------------------------------
My searches for {{ERROR}} didn't yield anything, but I found the text at the
bottom of this comment in a file
{{yarn-hadoop-nodemanager-ip-10-171-57-176.ec2.internal.log.2014-11-13-03}} on
one of the yarn slaves which sheds light on the situation.
I reverted {{spark-defaults.conf}} to just the bare bones:
{noformat}
spark.master yarn
spark.driver.memory 1G
spark.executor.memory 5G
{noformat}
and then the {{SparkContext}} was initialized as expected. To be honest, I
perhaps should not have uncommented the {{# spark.executor.extraJavaOptions
-XX:+PrintGCDetails -Dkey=value -Dnumbers="one two three"}} but I wanted to see
what it did. Now I know what it does: bring down yarn containers. :-)
It's too bad such a grave *error* is reported at _warn_ level, and I hope in
the master branch that NPE has been cleaned up because those exceptions are not
helpful at all.
Nevertheless, I hope this helps the original submitter track down their
problem, too.
{noformat}
2014-11-13 03:57:14,085 WARN
org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor
(ContainersLauncher #3): Exception from container-launch with container ID:
container_1415840940647_0002_01_000002 and exit code: 1
org.apache.hadoop.util.Shell$ExitCodeException: Usage: java [-options] class
[args...]
(to execute a class)
or java [-options] -jar jarfile [args...]
(to execute a jar file)
where options include:
{noformat}
> Failing to launch jobs on Spark on YARN with Hadoop 2.5.0 or later
> ------------------------------------------------------------------
>
> Key: SPARK-4267
> URL: https://issues.apache.org/jira/browse/SPARK-4267
> Project: Spark
> Issue Type: Bug
> Reporter: Tsuyoshi OZAWA
>
> Currently we're trying Spark on YARN included in Hadoop 2.5.1. Hadoop 2.5
> uses protobuf 2.5.0 so I compiled with protobuf 2.5.1 like this:
> {code}
> ./make-distribution.sh --name spark-1.1.1 --tgz -Pyarn
> -Dhadoop.version=2.5.1 -Dprotobuf.version=2.5.0
> {code}
> Then Spark on YARN fails to launch jobs with NPE.
> {code}
> $ bin/spark-shell --master yarn-client
> scala> sc.textFile("hdfs:///user/ozawa/wordcountInput20G").flatMap(line
> => line.split(" ")).map(word => (word, 1)).persist().reduceByKey((a, b) => a
> + b, 16).saveAsTextFile("hdfs:///user/ozawa/sparkWordcountOutNew2");
> java.lang.NullPointerException
>
>
>
> at
> org.apache.spark.SparkContext.defaultParallelism(SparkContext.scala:1284)
> at
> org.apache.spark.SparkContext.defaultMinPartitions(SparkContext.scala:1291)
>
>
>
> at
> org.apache.spark.SparkContext.textFile$default$2(SparkContext.scala:480)
> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:13)
>
>
>
> at $iwC$$iwC$$iwC.<init>(<console>:18)
> at $iwC$$iwC.<init>(<console>:20)
>
>
>
> at $iwC.<init>(<console>:22)
> at <init>(<console>:24)
>
>
>
> at .<init>(<console>:28)
> at .<clinit>(<console>)
>
>
>
> at .<init>(<console>:7)
> at .<clinit>(<console>)
>
>
>
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>
>
>
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>
>
>
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:789)
>
>
>
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1062)
> at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:615)
>
>
>
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:646)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:610)
>
>
>
> at
> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:823)
> at
> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:868)
>
>
>
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:780)
> at
> org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:625)
>
>
>
> at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:633)
> at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:638)
>
>
>
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:963)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:911)
>
>
>
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:911)
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
>
>
>
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:911)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1006)
>
>
>
> at org.apache.spark.repl.Main$.main(Main.scala:31)
> at org.apache.spark.repl.Main.main(Main.scala)
>
>
>
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>
>
>
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
>
>
>
> at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:329)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)
>
>
>
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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