Re: Spyder and SPARK combination problem...Please help!
Finally I found the solution! I have changed the Python's directory settings as below: import os import sys os.chdir(*"C:\Python27"*) os.curdir and it works like a charm :) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spyder-and-SPARK-combination-problem-Please-help-tp27882p27896.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe e-mail: user-unsubscr...@spark.apache.org
Re: Spyder and SPARK combination problem...Please help!
Yes Neil, I use windows 8.1 -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spyder-and-SPARK-combination-problem-Please-help-tp27882p27885.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe e-mail: user-unsubscr...@spark.apache.org
Re: Spyder and SPARK combination problem...Please help!
Are you using Windows? Switching over to Linux environment made that error go away for me. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spyder-and-SPARK-combination-problem-Please-help-tp27882p27884.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe e-mail: user-unsubscr...@spark.apache.org
Spyder and SPARK combination problem...Please help!
(Unknown Source) at java.net.ServerSocket.implAccept(Unknown Source) at java.net.ServerSocket.accept(Unknown Source) at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:133) ... 12 more Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1454) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1442) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1441) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1441) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1667) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1622) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1611) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1890) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1903) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1916) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1930) at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:912) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:358) at org.apache.spark.rdd.RDD.collect(RDD.scala:911) at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:453) at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) at java.lang.reflect.Method.invoke(Unknown Source) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:237) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:280) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:214) at java.lang.Thread.run(Unknown Source) Caused by: org.apache.spark.SparkException: Python worker did not connect back in time at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:138) at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:67) at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:114) at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:128) at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:86) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) ... 1 more Caused by: java.net.SocketTimeoutException: Accept timed out at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method) at java.net.DualStackPlainSocketImpl.socketAccept(Unknown Source) at java.net.AbstractPlainSocketImpl.accept(Unknown Source) at java.net.PlainSocketImpl.accept(Unknown Source) at java.net.ServerSocket.implAccept(Unknown Source) at java.net.ServerSocket.accept(Unknown Source) at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:133) ... 12 more Any help is appreciated -- View this message in context: http://apache-