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https://issues.apache.org/jira/browse/SPARK-10390?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-10390.
-------------------------------
Resolution: Not A Problem
FWIW I ran a recent build of Spark successfully with ipython. It was produced
by Maven though. I think we can reopen this if it can be demonstrated against
the build of reference for Spark.
> 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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