我只是想在命令行上运行简单的东西，比如：
lines = sc.textFile('shakespeare.txt')
lines.count()
我得到了这个追溯：
[Stage 0:> (0 + 2) / 2]16/03/20 12:51:38 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
java.lang.IllegalArgumentException: port out of range:458964785
at java.net.InetSocketAddress.checkPort(InetSocketAddress.java:143)
at java.net.InetSocketAddress.<init>(InetSocketAddress.java:188)
at java.net.Socket.<init>(Socket.java:244)
at org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:76)
at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:91)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:90)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:63)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:134)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
16/03/20 12:51:38 ERROR Executor: Exception in task 1.0 in stage 0.0 (TID 1)
java.lang.IllegalArgumentException: port out of range:458964785
at java.net.InetSocketAddress.checkPort(InetSocketAddress.java:143)
at java.net.InetSocketAddress.<init>(InetSocketAddress.java:188)
at java.net.Socket.<init>(Socket.java:244)
at org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:76)
at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:91)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:90)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:63)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:134)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
034h16/03/20 12:51:38 WARN TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1, localhost): java.lang.IllegalArgumentException: port out of range:458964785
at java.net.InetSocketAddress.checkPort(InetSocketAddress.java:143)
at java.net.InetSocketAddress.<init>(InetSocketAddress.java:188)
at java.net.Socket.<init>(Socket.java:244)
at org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:76)
at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:91)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:90)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:63)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:134)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
16/03/20 12:51:38 ERROR TaskSetManager: Task 1 in stage 0.0 failed 1 times; aborting job
Traceback (most recent call last):
Fi
它运行正常，然后我突然在IPython和普通Pyspark中都出现了这个错误。新安装的火花会解决这个问题吗，或者我需要做什么？