Davies Liu created SPARK-2891:
---------------------------------

             Summary: Daemon failed to launch worker
                 Key: SPARK-2891
                 URL: https://issues.apache.org/jira/browse/SPARK-2891
             Project: Spark
          Issue Type: Bug
          Components: PySpark
            Reporter: Davies Liu
            Priority: Critical


daviesliu@dm:~/work/spark-perf$ /Users/daviesliu/work/spark/bin/spark-submit 
--master spark://dm:7077 pyspark-tests/tests.py SchedulerThroughputTest 
--num-tasks=10000 --num-trials=4 --inter-trial-wait=1
14/08/06 17:58:04 WARN JettyUtils: Failed to create UI on port 4040. Trying 
again on port 4041. - Failure(java.net.BindException: Address already in use)
Daemon failed to fork PySpark worker: [Errno 35] Resource temporarily 
unavailable
14/08/06 17:59:25 ERROR Executor: Exception in task 9777.0 in stage 1.0 (TID 
19777)
java.lang.IllegalStateException: Python daemon failed to launch worker
        at 
org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:71)
        at 
org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:83)
        at 
org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:82)
        at 
org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:55)
        at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:101)
        at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:66)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
        at org.apache.spark.scheduler.Task.run(Task.scala:54)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199)
        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:745)
Daemon failed to fork PySpark worker: [Errno 35] Resource temporarily 
unavailable
14/08/06 17:59:25 ERROR Executor: Exception in task 9781.0 in stage 1.0 (TID 
19781)
java.lang.IllegalStateException: Python daemon failed to launch worker
        at 
org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:71)
        at 
org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:83)
        at 
org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:82)
        at 
org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:55)
        at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:101)
        at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:66)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
        at org.apache.spark.scheduler.Task.run(Task.scala:54)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199)
        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:745)
14/08/06 17:59:25 WARN TaskSetManager: Lost task 9777.0 in stage 1.0 (TID 
19777, localhost): java.lang.IllegalStateException: Python daemon failed to 
launch worker
        
org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:71)
        
org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:83)
        
org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:82)
        
org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:55)
        org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:101)
        org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:66)
        org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
        org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
        org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
        org.apache.spark.scheduler.Task.run(Task.scala:54)
        org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199)
        
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        java.lang.Thread.run(Thread.java:745)
14/08/06 17:59:25 ERROR TaskSetManager: Task 9777 in stage 1.0 failed 1 times; 
aborting job



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