我是Spark的新生，并尝试完成Spark教程： 指向教程的链接
在本地计算机（Win10 64，Python 3，Spark 2.4.0）上安装它并设置所有环境变量（HADOOP_HOME，SPARK_HOME等）后，我试图通过WordCount.py文件运行一个简单的Spark作业：
from pyspark import SparkContext, SparkConf if __name__ == "__main__": conf = SparkConf().setAppName("word count").setMaster("local[2]") sc = SparkContext(conf = conf) lines = sc.textFile("C:/Users/mjdbr/Documents/BigData/python-spark-tutorial/in/word_count.text") words = lines.flatMap(lambda line: line.split(" ")) wordCounts = words.countByValue() for word, count in wordCounts.items(): print("{} : {}".format(word, count))
从终端运行后：
spark-submit WordCount.py
我得到以下错误。我检查（逐行注释）它在崩溃
wordCounts = words.countByValue()
知道我应该检查些什么才能使其正常工作吗？
Traceback (most recent call last): File "C:\Users\mjdbr\Anaconda3\lib\runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "C:\Users\mjdbr\Anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Spark\spark-2.4.0-bin-hadoop2.7\python\lib\pyspark.zip\pyspark\worker.py", line 25, in <module> ModuleNotFoundError: No module named 'resource' 18/11/10 23:16:58 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0) org.apache.spark.SparkException: Python worker failed to connect back. at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:170) at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:97) at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117) at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:108) at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:121) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.lang.Thread.run(Unknown Source) Caused by: java.net.SocketTimeoutException: Accept timed out at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method) at java.net.DualStackPlainSocketImpl.socketAccept(Unknown Source) at java.net.AbstractPlainSocketImpl.accept(Unknown Source) at java.net.PlainSocketImpl.accept(Unknown Source) at java.net.ServerSocket.implAccept(Unknown Source) at java.net.ServerSocket.accept(Unknown Source) at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:164) ... 14 more 18/11/10 23:16:58 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job Traceback (most recent call last): File "C:/Users/mjdbr/Documents/BigData/python-spark-tutorial/rdd/WordCount.py", line 19, in <module> wordCounts = words.countByValue() File "C:\Spark\spark-2.4.0-bin-hadoop2.7\python\lib\pyspark.zip\pyspark\rdd.py", line 1261, in countByValue File "C:\Spark\spark-2.4.0-bin-hadoop2.7\python\lib\pyspark.zip\pyspark\rdd.py", line 844, in reduce File "C:\Spark\spark-2.4.0-bin-hadoop2.7\python\lib\pyspark.zip\pyspark\rdd.py", line 816, in collect File "C:\Spark\spark-2.4.0-bin-hadoop2.7\python\lib\py4j-0.10.7-src.zip\py4j\java_gateway.py", line 1257, in __call__ File "C:\Spark\spark-2.4.0-bin-hadoop2.7\python\lib\py4j-0.10.7-src.zip\py4j\protocol.py", line 328, 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 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): org.apache.spark.SparkException: Python worker failed to connect back. at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:170) at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:97) at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117) at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:108) at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:121) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.lang.Thread.run(Unknown Source) Caused by: java.net.SocketTimeoutException: Accept timed out at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method) at java.net.DualStackPlainSocketImpl.socketAccept(Unknown Source) at java.net.AbstractPlainSocketImpl.accept(Unknown Source) at java.net.PlainSocketImpl.accept(Unknown Source) at java.net.ServerSocket.implAccept(Unknown Source) at java.net.ServerSocket.accept(Unknown Source) at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:164) ... 14 more Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1887) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1875) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1874) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1874) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2108) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2057) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2046) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2126) at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:945) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:363) at org.apache.spark.rdd.RDD.collect(RDD.scala:944) at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:166) at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) at java.lang.reflect.Method.invoke(Unknown Source) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:238) at java.lang.Thread.run(Unknown Source) Caused by: org.apache.spark.SparkException: Python worker failed to connect back. at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:170) at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:97) at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117) at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:108) at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:121) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) ... 1 more Caused by: java.net.SocketTimeoutException: Accept timed out at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method) at java.net.DualStackPlainSocketImpl.socketAccept(Unknown Source) at java.net.AbstractPlainSocketImpl.accept(Unknown Source) at java.net.PlainSocketImpl.accept(Unknown Source) at java.net.ServerSocket.implAccept(Unknown Source) at java.net.ServerSocket.accept(Unknown Source) at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:164) ... 14 more
如鸭嘴兽所建议-检查“资源”模块是否可以直接从终端导入-显然不能：
>>> import resource Traceback (most recent call last): File "<stdin>", line 1, in <module> ModuleNotFoundError: No module named 'resource'
在安装资源方面- 我遵循了本教程中的说明：
我应该安装任何额外的资源吗？
我遇到了同样的错误。我安装了以前版本的Spark（2.3代替2.4）解决了它。现在它可以完美运行，也许是pyspark最新版本的问题。
