[ https://issues.apache.org/jira/browse/SPARK-10390?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Zoltán Zvara updated SPARK-10390: --------------------------------- Description: 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$$anonfun$collect$1.apply(RDD.scala:905) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) at org.apache.spark.rdd.RDD.withScope(RDD.scala:306) at org.apache.spark.rdd.RDD.collect(RDD.scala:904) at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:373) at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:497) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379) at py4j.Gateway.invoke(Gateway.java:259) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:207) at java.lang.Thread.run(Thread.java:745) {code} {{spark-env.sh}} {code} export IPYTHON=1 export PYSPARK_PYTHON=/usr/bin/python3 export PYSPARK_DRIVER_PYTHON=ipython3 export PYSPARK_DRIVER_PYTHON_OPTS="notebook" {code} Spark built with: {{build/sbt -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 assembly --error}} was: While running PySpark through iPython. {code} Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe. : java.lang.NoSuchMethodError: com.google.common.base.Stopwatch.elapsedMillis()J at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:245) at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313) at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:207) at org.apache.spark.rdd.RDD$$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} > 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-2.4 -Dhadoop.version=2.4.0 assembly --error}} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org