[ https://issues.apache.org/jira/browse/SPARK-7688?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14551187#comment-14551187 ]
Davies Liu edited comment on SPARK-7688 at 5/19/15 8:45 PM: ------------------------------------------------------------ [~mengxr], could you work around it, or should be fixed in 1.4? was (Author: davies): @mengxr, could you work around it, or should be fixed in 1.4? > PySpark + ipython throws port out of range exception > ---------------------------------------------------- > > Key: SPARK-7688 > URL: https://issues.apache.org/jira/browse/SPARK-7688 > Project: Spark > Issue Type: Bug > Components: PySpark > Affects Versions: 1.4.0 > Reporter: Xiangrui Meng > Assignee: Davies Liu > Priority: Critical > > Saw this error when I set PYSPARK_PYTHON to "ipython" and ran `bin/pyspark`: > {code} > Py4JJavaError: An error occurred while calling > z:org.apache.spark.api.python.PythonRDD.runJob. > : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 > in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 > (TID 0, localhost): java.lang.IllegalArgumentException: port out of > range:458964785 > at java.net.InetSocketAddress.checkPort(InetSocketAddress.java:143) > at java.net.InetSocketAddress.<init>(InetSocketAddress.java:185) > at java.net.Socket.<init>(Socket.java:241) > at > org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:75) > at > org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:90) > at > org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89) > at > org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62) > at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:130) > at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:72) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) > at org.apache.spark.scheduler.Task.run(Task.scala:70) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) > 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$$failJobAndIndependentStages(DAGScheduler.scala:1266) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1257) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1256) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1256) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1450) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1411) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > {code} > My env (OS X 10.10): > {code} > ipython > Python 2.7.9 |Anaconda 2.2.0 (x86_64)| (default, Dec 15 2014, 10:37:34) > Type "copyright", "credits" or "license" for more information. > IPython 3.0.0 -- An enhanced Interactive Python. > {code} -- 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