[jira] [Comment Edited] (SPARK-10390) Py4JJavaError java.lang.NoSuchMethodError: com.google.common.base.Stopwatch.elapsedMillis()J

["Zoltán Zvara (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-10390?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14725189#comment-14725189 ] 

Zoltán Zvara edited comment on SPARK-10390 at 9/1/15 11:03 AM:
---------------------------------------------------------------

I did not pack Guava with my app, this is a clean Spark build in terms of dependencies, built with:

{{build/sbt -Pyarn -Phadoop-2.6 -Dhadoop.version=2.6.0 assembly --error}}


was (Author: ehnalis):
I did not packed Guava with my app, this is a clean Spark build in terms of dependencies, built with:

{{build/sbt -Pyarn -Phadoop-2.6 -Dhadoop.version=2.6.0 assembly --error}}

> Py4JJavaError java.lang.NoSuchMethodError: com.google.common.base.Stopwatch.elapsedMillis()J
> --------------------------------------------------------------------------------------------
>
>                 Key: SPARK-10390
>                 URL: https://issues.apache.org/jira/browse/SPARK-10390
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>            Reporter: Zoltán Zvara
>
> While running PySpark through iPython.
> {code}
> Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
> : java.lang.NoSuchMethodError: com.google.common.base.Stopwatch.elapsedMillis()J
> 	at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:245)
> 	at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313)
> 	at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:207)
> 	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> 	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> 	at scala.Option.getOrElse(Option.scala:120)
> 	at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> 	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> 	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> 	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> 	at scala.Option.getOrElse(Option.scala:120)
> 	at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> 	at org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:58)
> 	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> 	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> 	at scala.Option.getOrElse(Option.scala:120)
> 	at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> 	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1910)
> 	at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:905)
> 	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> 	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
> 	at org.apache.spark.rdd.RDD.withScope(RDD.scala:306)
> 	at org.apache.spark.rdd.RDD.collect(RDD.scala:904)
> 	at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:373)
> 	at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
> 	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> 	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> 	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> 	at java.lang.reflect.Method.invoke(Method.java:497)
> 	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
> 	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
> 	at py4j.Gateway.invoke(Gateway.java:259)
> 	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
> 	at py4j.commands.CallCommand.execute(CallCommand.java:79)
> 	at py4j.GatewayConnection.run(GatewayConnection.java:207)
> 	at java.lang.Thread.run(Thread.java:745)
> {code}
> {{spark-env.sh}}
> {code}
> export IPYTHON=1
> export PYSPARK_PYTHON=/usr/bin/python3
> export PYSPARK_DRIVER_PYTHON=ipython3
> export PYSPARK_DRIVER_PYTHON_OPTS="notebook"
> {code}
> Spark built with:
> {{build/sbt -Pyarn -Phadoop-2.6 -Dhadoop.version=2.6.0 assembly --error}}
> Not a problem, when built against {{Hadoop 2.4}}!



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