【问题】spark运行python写的mapreduce任务，hadoop平台报错，java.net.ConnectException: 连接超时

ycycoco

16/07/25 13:56:44 INFO lzo.LzoCodec: Successfully loaded & initialized native-lzo library [hadoop-lzo rev d62701d4d05dfa6115bbaf8d9dff002df142e62d]　　
16/07/25 13:56:44 INFO Configuration.deprecation: mapred.tip.id is deprecated. Instead, use mapreduce.task.id
　　
16/07/25 13:56:44 INFO Configuration.deprecation: mapred.task.id is deprecated. Instead, use mapreduce.task.attempt.id
　　
16/07/25 13:56:44 INFO Configuration.deprecation: mapred.task.is.map is deprecated. Instead, use mapreduce.task.ismap
　　
16/07/25 13:56:44 INFO Configuration.deprecation: mapred.task.partition is deprecated. Instead, use mapreduce.task.partition
　　
16/07/25 13:56:44 INFO Configuration.deprecation: mapred.job.id is deprecated. Instead, use mapreduce.job.id
　　
16/07/25 13:57:47 WARN python.PythonWorkerFactory: Failed to open socket to Python daemon:
　　
java.net.ConnectException: 连接超时
　　at java.net.PlainSocketImpl.socketConnect(Native Method)
　　at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:339)
　　at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:200)
　　at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:182)
　　at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
　　at java.net.Socket.connect(Socket.java:579)
　　at java.net.Socket.connect(Socket.java:528)
　　at java.net.Socket.(Socket.java:425)
　　at java.net.Socket.(Socket.java:241)
　　at org.apache.spark.api.python.PythonWorkerFactory.createSocket$1(PythonWorkerFactory.scala:75)
　　at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:90)
　　at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
　　at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62)
　　at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:135)
　　at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:101)
　　at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
　　at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
　　at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
　　at org.apache.spark.api.python.PairwiseRDD.compute(PythonRDD.scala:342)
　　at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
　　at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
　　at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
　　at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
　　at org.apache.spark.scheduler.Task.run(Task.scala:88)
　　at org.apache.spark.executor.Executor$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:745)
　　
16/07/25 13:57:47 WARN python.PythonWorkerFactory: Assuming that daemon unexpectedly quit, attempting to restart
　　
16/07/25 13:58:51 ERROR executor.Executor: Exception in task 0.0 in stage 0.0 (TID 0)