尝试在 pyspark 中使用 collect() 方法时出错。 (Windows 10)

Question

所以我阅读了很多关于如何设置 pyspark 的教程。我已经设置了所有环境变量，如 HADOOP_HOME、SPARK_HOME e.t.c。我已经下载了 winutils 并将其放入 %SPARK_HOME%/bin。我检查过 pyspark 的版本是否与我从官方网站 (3.2.1) 下载的 spark 相同。我正在使用 Java JDK 8。我尝试了不同版本的 Java、Spark/Pyspark，但每次我在 rdd 上使用 collect 方法时，我都会遇到大量错误。

这是我的示例程序：

from pyspark.sql import SparkSession

ss = SparkSession.builder.master('local').appName('name').getOrCreate()

rd = ss.sparkContext.parallelize([1, 2, 3, 4, 5])
rd1 = rd.map(lambda x: x** 2).collect()
print(rd1)

这就是我得到的。（对不起，我不知道如何将所有内容都放在扰流板下）任何帮助将不胜感激！

Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
22/02/05 21:03:53 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
22/02/05 21:04:06 WARN ProcfsMetricsGetter: Exception when trying to compute pagesize, as a result reporting of ProcessTree metrics is stopped
22/02/05 21:04:06 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:188)
    at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:108)
    at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:121)
    at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:162)
    at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
    at org.apache.spark.scheduler.Task.run(Task.scala:131)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run(Executor.scala:506)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.net.SocketTimeoutException: Accept timed out
    at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
    at java.net.DualStackPlainSocketImpl.socketAccept(DualStackPlainSocketImpl.java:131)
    at java.net.AbstractPlainSocketImpl.accept(AbstractPlainSocketImpl.java:535)
    at java.net.PlainSocketImpl.accept(PlainSocketImpl.java:189)
    at java.net.ServerSocket.implAccept(ServerSocket.java:545)
    at java.net.ServerSocket.accept(ServerSocket.java:513)
    at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:175)
    ... 14 more
22/02/05 21:04:06 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0) (WIN-CH4BAQ3PTMC executor driver): org.apache.spark.SparkException: Python worker failed to connect back.
    at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:188)
    at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:108)
    at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:121)
    at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:162)
    at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
    at org.apache.spark.scheduler.Task.run(Task.scala:131)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run(Executor.scala:506)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.net.SocketTimeoutException: Accept timed out
    at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
    at java.net.DualStackPlainSocketImpl.socketAccept(DualStackPlainSocketImpl.java:131)
    at java.net.AbstractPlainSocketImpl.accept(AbstractPlainSocketImpl.java:535)
    at java.net.PlainSocketImpl.accept(PlainSocketImpl.java:189)
    at java.net.ServerSocket.implAccept(ServerSocket.java:545)
    at java.net.ServerSocket.accept(ServerSocket.java:513)
    at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:175)
    ... 14 more

22/02/05 21:04:06 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
Traceback (most recent call last):
  File "C:\Users\user\PycharmProjects\pythonProject\spark.py", line 6, in <module>
    print(rd.map(lambda x: x ** 2).collect())
  File "C:\Users\user\PycharmProjects\pythonProject\venv\lib\site-packages\pyspark\rdd.py", line 950, in collect
    sock_info = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
  File "C:\Users\user\PycharmProjects\pythonProject\venv\lib\site-packages\py4j\java_gateway.py", line 1321, in __call__
    return_value = get_return_value(
  File "C:\Users\user\PycharmProjects\pythonProject\venv\lib\site-packages\pyspark\sql\utils.py", line 111, in deco
    return f(*a, **kw)
  File "C:\Users\user\PycharmProjects\pythonProject\venv\lib\site-packages\py4j\protocol.py", line 326, in get_return_value
    raise Py4JJavaError(
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) (WIN-CH4BAQ3PTMC executor driver): org.apache.spark.SparkException: Python worker failed to connect back.
    at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:188)
    at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:108)
    at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:121)
    at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:162)
    at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
    at org.apache.spark.scheduler.Task.run(Task.scala:131)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run(Executor.scala:506)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.net.SocketTimeoutException: Accept timed out
    at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
    at java.net.DualStackPlainSocketImpl.socketAccept(DualStackPlainSocketImpl.java:131)
    at java.net.AbstractPlainSocketImpl.accept(AbstractPlainSocketImpl.java:535)
    at java.net.PlainSocketImpl.accept(PlainSocketImpl.java:189)
    at java.net.ServerSocket.implAccept(ServerSocket.java:545)
    at java.net.ServerSocket.accept(ServerSocket.java:513)
    at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:175)
    ... 14 more

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2454)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage(DAGScheduler.scala:2403)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$adapted(DAGScheduler.scala:2402)
    at scala.collection.immutable.List.foreach(List.scala:333)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2402)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed(DAGScheduler.scala:1160)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$adapted(DAGScheduler.scala:1160)
    at scala.Option.foreach(Option.scala:437)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1160)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2642)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2584)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2573)
    at org.apache.spark.util.EventLoop$$anon.run(EventLoop.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:938)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2214)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2235)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2254)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2279)
    at org.apache.spark.rdd.RDD.$anonfun$collect(RDD.scala:1030)
    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:414)
    at org.apache.spark.rdd.RDD.collect(RDD.scala:1029)
    at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:180)
    at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:282)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
    at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
    at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: Python worker failed to connect back.
    at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:188)
    at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:108)
    at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:121)
    at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:162)
    at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
    at org.apache.spark.scheduler.Task.run(Task.scala:131)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run(Executor.scala:506)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    ... 1 more
Caused by: java.net.SocketTimeoutException: Accept timed out
    at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
    at java.net.DualStackPlainSocketImpl.socketAccept(DualStackPlainSocketImpl.java:131)
    at java.net.AbstractPlainSocketImpl.accept(AbstractPlainSocketImpl.java:535)
    at java.net.PlainSocketImpl.accept(PlainSocketImpl.java:189)
    at java.net.ServerSocket.implAccept(ServerSocket.java:545)
    at java.net.ServerSocket.accept(ServerSocket.java:513)
    at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:175)
    ... 14 more

Answer 1

你的程序没有问题。它看起来像您的火花设置中的问题。在命令提示符下检查您是否能够在没有任何错误的情况下获得 pyspark 提示符。并检查 python 版本和环境变量。

Answer 2

非常感谢@blackbishop 的提示！

我所做的只是添加

import findspark
findspark.init()

现在一切正常！

尝试在 pyspark 中使用 collect() 方法时出错。 (Windows 10)

Errors while trying to use collect() method in pyspark. (Windows 10)

apache-spark

pyspark

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