Mina Lee created ZEPPELIN-572: --------------------------------- Summary: pyspark interpreter doesn't work on yarn-client Key: ZEPPELIN-572 URL: https://issues.apache.org/jira/browse/ZEPPELIN-572 Project: Zeppelin Issue Type: Bug Reporter: Mina Lee Assignee: Mina Lee
``` Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 8, 103-42-01.sc1.verticloud.com): org.apache.spark.SparkException: Error from python worker: /usr/bin/python: No module named pyspark PYTHONPATH was: /var/storage/sdf1/nm-local/usercache/moon/filecache/35/spark-assembly-1.5.2-hadoop2.7.1.jar java.io.EOFException at java.io.DataInputStream.readInt(DataInputStream.java:392) at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:163) at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:86) at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62) at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:135) at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101) at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at org.apache.spark.scheduler.Task.run(Task.scala:88) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:744) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1850) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1921) at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:909) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) at org.apache.spark.rdd.RDD.withScope(RDD.scala:310) at org.apache.spark.rdd.RDD.collect(RDD.scala:908) at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405) at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.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 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:744) Caused by: org.apache.spark.SparkException: Error from python worker: /usr/bin/python: No module named pyspark PYTHONPATH was: /var/storage/sdf1/nm-local/usercache/moon/filecache/35/spark-assembly-1.5.2-hadoop2.7.1.jar java.io.EOFException at java.io.DataInputStream.readInt(DataInputStream.java:392) at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:163) at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:86) at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62) at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:135) at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101) at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at org.apache.spark.scheduler.Task.run(Task.scala:88) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) ... 1 more (<class 'py4j.protocol.Py4JJavaError'>, Py4JJavaError(u'An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.\n', JavaObject id=o73), <traceback object at 0x21d76c8>) ``` -- This message was sent by Atlassian JIRA (v6.3.4#6332)