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https://issues.apache.org/jira/browse/SPARK-4289?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14201827#comment-14201827
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Sean Owen commented on SPARK-4289:
----------------------------------
This is a Hadoop issue, right? I don't know if Spark can address this directly
I suppose you could work around this with ":silent" in the shell.
> Creating an instance of Hadoop Job fails in the Spark shell when toString()
> is called on the instance.
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-4289
> URL: https://issues.apache.org/jira/browse/SPARK-4289
> Project: Spark
> Issue Type: Bug
> Reporter: Corey J. Nolet
>
> This one is easy to reproduce.
> <pre>val job = new Job(sc.hadoopConfiguration)</pre>
> I'm not sure what the solution would be off hand as it's happening when the
> shell is calling toString() on the instance of Job. The problem is, because
> of the failure, the instance is never actually assigned to the job val.
> java.lang.IllegalStateException: Job in state DEFINE instead of RUNNING
> at org.apache.hadoop.mapreduce.Job.ensureState(Job.java:283)
> at org.apache.hadoop.mapreduce.Job.toString(Job.java:452)
> at
> scala.runtime.ScalaRunTime$.scala$runtime$ScalaRunTime$$inner$1(ScalaRunTime.scala:324)
> at scala.runtime.ScalaRunTime$.stringOf(ScalaRunTime.scala:329)
> at scala.runtime.ScalaRunTime$.replStringOf(ScalaRunTime.scala:337)
> at .<init>(<console>:10)
> at .<clinit>(<console>)
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:789)
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1062)
> at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:615)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:646)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:610)
> at
> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:814)
> at
> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:859)
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:771)
> at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:616)
> at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:624)
> at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:629)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:954)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:902)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:902)
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:902)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:997)
> 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:328)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
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