スパーク送信クラスタモードでHDFSにアクセスしようとしたときにPythonが失敗しました

Question

クラスタ内で単純なワードカウントpysparkジョブを送信しようとしましたが、ファイルまたはディレクトリが見つからないため失敗します。

• 私はpysparkシェルを使用し、 hdfsファイルにアクセスしようとすると、シナリオはうまくいきます。
• 同じhdfsファイルの場所 でwordcountにScala jarを使用すると、シナリオが正常に動作しています。
• ローカルの モードでpythonジョブを送信しようとすると、シナリオが正常に動作しています。 // Wonderwoman：7077 --total-エグゼキュータ・コア2つのwordcount.pyのHDFS：//

後は、スパーク--master私の提出script-

火花提出--deployモードクライアントであります10.65.104.14:8099/user/cdh/cian/detector/text.txt

wordcount script

エラーは、私はしばらくの間を信じる

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 

を対数pyファイルを何とか送信すると、hdfsクライアントを検出できなくなります。 提案がありますか？

Answer 1

問題はHDFS上のファイルではありません。プログラムpythonがワーカー・ノードの1つで見つからないため、例外がスローされます。すべてのノードでPythonのインストールをチェックするだけで問題は解決します。

Answer 2

クラスタモードでは、pythonファイルをクラスタ内のすべてのノードにレプリケートする必要があります。

スクリプトを送信するときに--py-filesオプションを追加する必要があります。これを試してみてください：

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