Erochan 2025-01-22 18:13 采纳率: 100%
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已结题

刚学pyspark，这种报错怎么办？

PySpark

  • 刚开始学pyspark，很简单的一个示例，直接报错
  • 问了好多 ai 都不太聪明的样子
from pyspark import SparkContext, SparkConf
import os

os.environ["PYSPARK_PYTHON"] = "D:/code_env/python/python.exe"
os.environ["HADOOP_HOME"] = "D:/code_env/hadoop-3.3.6"
os.environ["hadoop.home.dir"] = "D:/code_env/hadoop-3.3.6"

conf = SparkConf().setAppName("MyApp").setMaster("local[*]")
sc = SparkContext(conf=conf)

rdd = sc.parallelize([1, 2, 3, 4, 5])
rdd1 = rdd.map(lambda x: x * 2)

print(rdd1.collect())

img

D:\code_env\python\python.exe E:\Workspace\PyCharmWorkspace\Python-learn\13_PySpark\03_数据计算_map方法.py 
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Exception ignored in: <_io.BufferedRWPair object at 0x04506988>
Traceback (most recent call last):
  File "D:\code_env\python\Lib\socket.py", line 737, in write
OSError: [WinError 10038] 在一个非套接字上尝试了一个操作。
25/01/22 18:05:20 ERROR Executor: Exception in task 1.0 in stage 0.0 (TID 1)
org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:612)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:594)
    at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38)
    at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:789)
    at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:766)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:525)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at scala.collection.Iterator.foreach(Iterator.scala:943)
    at scala.collection.Iterator.foreach$(Iterator.scala:943)
    at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
    at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
    at scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:105)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:49)
    at scala.collection.TraversableOnce.to(TraversableOnce.scala:366)
    at scala.collection.TraversableOnce.to$(TraversableOnce.scala:364)
    at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:358)
    at scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:358)
    at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce.toArray(TraversableOnce.scala:345)
    at scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:339)
    at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
    at org.apache.spark.rdd.RDD.$anonfun$collect$2(RDD.scala:1049)
    at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2433)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
    at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
    at org.apache.spark.scheduler.Task.run(Task.scala:141)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
    at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
    at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
    at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1144)
    at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:642)
    at java.base/java.lang.Thread.run(Thread.java:1583)
Caused by: java.io.EOFException
    at java.base/java.io.DataInputStream.readFully(DataInputStream.java:210)
    at java.base/java.io.DataInputStream.readInt(DataInputStream.java:385)
    at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:774)
    ... 32 more
25/01/22 18:05:20 WARN TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1) (192.168.101.18 executor driver): org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:612)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:594)
    at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38)
    at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:789)
    at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:766)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:525)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at scala.collection.Iterator.foreach(Iterator.scala:943)
    at scala.collection.Iterator.foreach$(Iterator.scala:943)
    at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
    at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
    at scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:105)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:49)
    at scala.collection.TraversableOnce.to(TraversableOnce.scala:366)
    at scala.collection.TraversableOnce.to$(TraversableOnce.scala:364)
    at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:358)
    at scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:358)
    at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce.toArray(TraversableOnce.scala:345)
    at scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:339)
    at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
    at org.apache.spark.rdd.RDD.$anonfun$collect$2(RDD.scala:1049)
    at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2433)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
    at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
    at org.apache.spark.scheduler.Task.run(Task.scala:141)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
    at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
    at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
    at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1144)
    at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:642)
    at java.base/java.lang.Thread.run(Thread.java:1583)
Caused by: java.io.EOFException
    at java.base/java.io.DataInputStream.readFully(DataInputStream.java:210)
    at java.base/java.io.DataInputStream.readInt(DataInputStream.java:385)
    at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:774)
    ... 32 more

25/01/22 18:05:20 ERROR TaskSetManager: Task 1 in stage 0.0 failed 1 times; aborting job
Traceback (most recent call last):
  File "E:\Workspace\PyCharmWorkspace\Python-learn\13_PySpark\03_数据计算_map方法.py", line 16, in <module>
    print(rdd1.collect())
          ~~~~~~~~~~~~^^
  File "D:\code_env\python\Lib\site-packages\pyspark\rdd.py", line 1833, in collect
    sock_info = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
  File "D:\code_env\python\Lib\site-packages\py4j\java_gateway.py", line 1322, in __call__
    return_value = get_return_value(
        answer, self.gateway_client, self.target_id, self.name)
  File "D:\code_env\python\Lib\site-packages\py4j\protocol.py", line 326, in get_return_value
    raise Py4JJavaError(
        "An error occurred while calling {0}{1}{2}.\n".
        format(target_id, ".", name), 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 1 in stage 0.0 failed 1 times, most recent failure: Lost task 1.0 in stage 0.0 (TID 1) (192.168.101.18 executor driver): org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:612)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:594)
    at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38)
    at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:789)
    at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:766)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:525)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at scala.collection.Iterator.foreach(Iterator.scala:943)
    at scala.collection.Iterator.foreach$(Iterator.scala:943)
    at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
    at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
    at scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:105)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:49)
    at scala.collection.TraversableOnce.to(TraversableOnce.scala:366)
    at scala.collection.TraversableOnce.to$(TraversableOnce.scala:364)
    at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:358)
    at scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:358)
    at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce.toArray(TraversableOnce.scala:345)
    at scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:339)
    at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
    at org.apache.spark.rdd.RDD.$anonfun$collect$2(RDD.scala:1049)
    at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2433)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
    at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
    at org.apache.spark.scheduler.Task.run(Task.scala:141)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
    at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
    at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
    at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1144)
    at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:642)
    at java.base/java.lang.Thread.run(Thread.java:1583)
Caused by: java.io.EOFException
    at java.base/java.io.DataInputStream.readFully(DataInputStream.java:210)
    at java.base/java.io.DataInputStream.readInt(DataInputStream.java:385)
    at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:774)
    ... 32 more

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2856)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2792)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2791)
    at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
    at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2791)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1247)
    at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1247)
    at scala.Option.foreach(Option.scala:407)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1247)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3060)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2994)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2983)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:989)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2393)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2414)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2433)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2458)
    at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1049)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:410)
    at org.apache.spark.rdd.RDD.collect(RDD.scala:1048)
    at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:195)
    at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
    at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:75)
    at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:52)
    at java.base/java.lang.reflect.Method.invoke(Method.java:580)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
    at py4j.Gateway.invoke(Gateway.java:282)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
    at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
    at java.base/java.lang.Thread.run(Thread.java:1583)
Caused by: org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:612)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:594)
    at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38)
    at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:789)
    at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:766)
    at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:525)
    at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
    at scala.collection.Iterator.foreach(Iterator.scala:943)
    at scala.collection.Iterator.foreach$(Iterator.scala:943)
    at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
    at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
    at scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:105)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:49)
    at scala.collection.TraversableOnce.to(TraversableOnce.scala:366)
    at scala.collection.TraversableOnce.to$(TraversableOnce.scala:364)
    at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:358)
    at scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:358)
    at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
    at scala.collection.TraversableOnce.toArray(TraversableOnce.scala:345)
    at scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:339)
    at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
    at org.apache.spark.rdd.RDD.$anonfun$collect$2(RDD.scala:1049)
    at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2433)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
    at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
    at org.apache.spark.scheduler.Task.run(Task.scala:141)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
    at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
    at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
    at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1144)
    at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:642)
    ... 1 more
Caused by: java.io.EOFException
    at java.base/java.io.DataInputStream.readFully(DataInputStream.java:210)
    at java.base/java.io.DataInputStream.readInt(DataInputStream.java:385)
    at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:774)
    ... 32 more
  • 写回答

4条回答 默认 最新

  • Erochan 2025-01-23 16:05
    关注

    好了，把 python 版本改成 3.10.4 然后魔改一通环境变量，魔改一下 pycharm 的配置就好了，还是得多看看别的帖子，ai 有时候一点用都没有/(ㄒoㄒ)/~~

    本回答被题主选为最佳回答 , 对您是否有帮助呢?
    评论
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  • 系统已结题 1月31日
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  • 创建了问题 1月22日