Apache spark Spark Submit python在尝试以群集模式访问HDFS时失败

我试图在集群中提交一个简单的wordcount pyspark作业，但由于找不到文件或目录而失败

• 当我使用pysparkshell并尝试 访问hdfs文件
• 当我将Scala jar用于wordcount时，该场景运行良好 相同的hdfs文件位置
• 当我尝试在本地提交python作业时，该场景运行良好 模式

下面是我的提交脚本-

spark提交--部署模式客户端--主spark://Wonderwoman:7077 --执行器核心总数2 wordcount.pyhdfs://10.65.104.14:8099/user/cdh/cian/detector/text.txt

错误日志-

File "/home/cdh/code/wordcount.py", line 22, in <module>
    output = counts.collect()
  File "/home/cdh/spark-1.6.1-bin-hadoop2.6/python/lib/pyspark.zip/pyspark/rdd.py", line 771, in collect
  File "/home/cdh/spark-1.6.1-bin-hadoop2.6/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 813, in __call__
  File "/home/cdh/spark-1.6.1-bin-hadoop2.6/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line 308, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, Spiderwoman): java.io.IOException: Cannot run program "python": error=2, No such file or directory
        at java.lang.ProcessBuilder.start(ProcessBuilder.java:1048)
        at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:161)
        at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:87)
        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.api.python.PairwiseRDD.compute(PythonRDD.scala:342)
        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.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: error=2, No such file or directory
        at java.lang.UNIXProcess.forkAndExec(Native Method)
        at java.lang.UNIXProcess.<init>(UNIXProcess.java:248)
        at java.lang.ProcessImpl.start(ProcessImpl.java:134)
        at java.lang.ProcessBuilder.start(ProcessBuilder.java:1029)
        ... 18 more

Driver stacktrace:
        at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
        at scala.Option.foreach(Option.scala:236)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
        at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
        at org.apache.spark.rdd.RDD.collect(RDD.scala:926)
        at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405)
        at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
        at py4j.Gateway.invoke(Gateway.java:259)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:209)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Cannot run program "python": error=2, No such file or directory
        at java.lang.ProcessBuilder.start(ProcessBuilder.java:1048)
        at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:161)
        at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:87)
        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.api.python.PairwiseRDD.compute(PythonRDD.scala:342)
        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.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        ... 1 more
Caused by: java.io.IOException: error=2, No such file or directory
        at java.lang.UNIXProcess.forkAndExec(Native Method)
        at java.lang.UNIXProcess.<init>(UNIXProcess.java:248)
        at java.lang.ProcessImpl.start(ProcessImpl.java:134)
        at java.lang.ProcessBuilder.start(ProcessBuilder.java:1029)
        ... 18 more

文件“/home/cdh/code/wordcount.py”，第22行，在
输出=计数。收集（）
collect中的文件“/home/cdh/spark-1.6.1-bin-hadoop2.6/python/lib/pyspark.zip/pyspark/rdd.py”，第771行
文件“/home/cdh/spark-1.6.1-bin-hadoop2.6/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py”，第813行，在__
文件“/home/cdh/spark-1.6.1-bin-hadoop2.6/python/lib/py4j-0.9-src.zip/py4j/protocol.py”，第308行，在get\u返回值中
py4j.protocol.Py4JJavaError:调用z:org.apache.spark.api.python.PythonRDD.collectAndServe时出错。
：org.apache.spark.sparkeexception:作业因阶段失败而中止：阶段0.0中的任务0失败4次，最近的失败：阶段0.0中的任务0.3丢失（TID 3，Spiderwoman）：java.io.IOException:无法运行程序“python”：错误=2，没有此类文件或目录
位于java.lang.ProcessBuilder.start（ProcessBuilder.java:1048）
位于org.apache.spark.api.python.PythonWorkerFactory.startDaemon（PythonWorkerFactory.scala:161）
位于org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon（PythonWorkerFactory.scala:87）
位于org.apache.spark.api.python.PythonWorkerFactory.create（PythonWorkerFactory.scala:63）
位于org.apache.spark.SparkEnv.createPythonWorker（SparkEnv.scala:134）
位于org.apache.spark.api.python.PythonRunner.compute（PythonRDD.scala:101）
位于org.apache.spark.api.python.PythonRDD.compute（PythonRDD.scala:70）
在org.apache.spark.rdd.rdd.computeOrReadCheckpoint（rdd.scala:306）上
位于org.apache.spark.rdd.rdd.iterator（rdd.scala:270）
位于org.apache.spark.api.python.PairwiseRDD.compute（PythonRDD.scala:342）
在org.apache.spark.rdd.rdd.computeOrReadCheckpoint（rdd.scala:306）上
位于org.apache.spark.rdd.rdd.iterator（rdd.scala:270）
在org.apache.spark.scheduler.ShuffleMapTask.runTask（ShuffleMapTask.scala:73）上
在org.apache.spark.scheduler.ShuffleMapTask.runTask（ShuffleMapTask.scala:41）上
位于org.apache.spark.scheduler.Task.run（Task.scala:89）
位于org.apache.spark.executor.executor$TaskRunner.run（executor.scala:214）
位于java.util.concurrent.ThreadPoolExecutor.runWorker（ThreadPoolExecutor.java:1142）
位于java.util.concurrent.ThreadPoolExecutor$Worker.run（ThreadPoolExecutor.java:617）
运行（Thread.java:745）
原因：java.io.IOException:error=2，没有这样的文件或目录
位于java.lang.UNIXProcess.forkAndExec（本机方法）
位于java.lang.UNIXProcess（UNIXProcess.java:248）
在java.lang.ProcessImpl.start（ProcessImpl.java:134）处
位于java.lang.ProcessBuilder.start（ProcessBuilder.java:1029）
... 还有18个
驱动程序堆栈跟踪：
位于org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages（DAGScheduler.scala:1431）
位于org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply（DAGScheduler.scala:1419）
位于org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply（DAGScheduler.scala:1418）
位于scala.collection.mutable.resizeblearray$class.foreach（resizeblearray.scala:59）
位于scala.collection.mutable.ArrayBuffer.foreach（ArrayBuffer.scala:47）
位于org.apache.spark.scheduler.DAGScheduler.abortStage（DAGScheduler.scala:1418）
位于org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply（DAGScheduler.scala:799）
位于org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply（DAGScheduler.scala:799）
位于scala.Option.foreach（Option.scala:236）
位于org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed（DAGScheduler.scala:799）
位于org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive（DAGScheduler.scala:1640）
位于org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive（DAGScheduler.scala:1599）
位于org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive（DAGScheduler.scala:1588）
位于org.apache.spark.util.EventLoop$$anon$1.run（EventLoop.scala:48）
位于org.apache.spark.scheduler.DAGScheduler.runJob（DAGScheduler.scala:620）
位于org.apache.spark.SparkContext.runJob（SparkContext.scala:1832）
位于org.apache.spark.SparkContext.runJob（SparkContext.scala:1845）
位于org.apache.spark.SparkContext.runJob（SparkContext.scala:1858）
位于org.apache.spark.SparkContext.runJob（SparkContext.scala:1929）
位于org.apache.spark.rdd.rdd$$anonfun$collect$1.apply（rdd.scala:927）
位于org.apache.spark.rdd.RDDOperationScope$.withScope（RDDOperationScope.scala:150）
位于org.apache.spark.rdd.RDDOperationScope$.withScope（RDDOperationScope.scala:111）
位于org.apache.spark.rdd.rdd.withScope（rdd.scala:316）
位于org.apache.spark.rdd.rdd.collect（rdd.scala:926）
位于org.apache.spark.api.python.PythonRDD$.collectAndServe（PythonRDD.scala:405）
位于org.apache.spark.api.python.PythonRDD.collectAndServe（PythonRDD.scala）
在sun.reflect.NativeMethodAccessorImpl.invoke0（本机方法）处
位于sun.reflect.NativeMethodAccessorImpl.invoke（NativeMethodAccessorImpl.java:62）
在sun.reflect.DelegatingMethodAccessorImpl.invoke（DelegatingMethodAccessorImpl.java:43）中
位于java.lang.reflect.Method.invoke（Method.java:498）
在py4j
spark-submit --deploy-mode client --master spark://Wonderwoman:7077 --py-files wordcount.py --total-executor-cores 2 wordcount.py hdfs://10.65.104.14:8099/user/cdh/cian/detector/text.txt