windows下pyspark异常

没能耐的猴儿2024-12-07 20:14

报错内容：

C:\Python38\python.exe C:/untitled5/test1203.py
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).
24/12/03 18:54:42 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.api.python.PairwiseRDD.compute(PythonRDD.scala:115)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.ExecutorTaskRunner.anonfunrun3(Executor.scala:506)
at org.apache.spark.util.Utils.tryWithSafeFinally(Utils.scala:1491) at org.apache.spark.executor.ExecutorTaskRunner.run(Executor.scala:509)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutorWorker.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) ... 19 more 24/12/03 18:54:42 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0) (Y9000P 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.api.python.PairwiseRDD.compute(PythonRDD.scala:115) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373) at org.apache.spark.rdd.RDD.iterator(RDD.scala:337) at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) at org.apache.spark.scheduler.Task.run(Task.scala:131) at org.apache.spark.executor.ExecutorTaskRunner.anonfunrun3(Executor.scala:506) at org.apache.spark.util.Utils.tryWithSafeFinally(Utils.scala:1491)
at org.apache.spark.executor.ExecutorTaskRunner.run(Executor.scala:509) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutorWorker.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)
... 19 more

24/12/03 18:54:42 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
Traceback (most recent call last):
File "C:/untitled5/test1203.py", line 16, in <module>
words = doc.flatMap(lambda d:d).distinct().collect()
File "C:\Python38\lib\site-packages\pyspark\rdd.py", line 950, in collect
sock_info = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
File "C:\Python38\lib\site-packages\py4j\java_gateway.py", line 1321, in call
return_value = get_return_value(
File "C:\Python38\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) (Y9000P 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.api.python.PairwiseRDD.compute(PythonRDD.scala:115)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.ExecutorTaskRunner.anonfunrun3(Executor.scala:506)
at org.apache.spark.util.Utils.tryWithSafeFinally(Utils.scala:1491) at org.apache.spark.executor.ExecutorTaskRunner.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)
... 19 more

Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2454)
at org.apache.spark.scheduler.DAGScheduler.anonfunabortStage2(DAGScheduler.scala:2403) at org.apache.spark.scheduler.DAGScheduler.anonfunabortStage2adapted(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.anonfunhandleTaskSetFailed1(DAGScheduler.scala:1160)
at org.apache.spark.scheduler.DAGScheduler.anonfunhandleTaskSetFailed1adapted(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$$anon1.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.anonfuncollect1(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.api.python.PairwiseRDD.compute(PythonRDD.scala:115) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373) at org.apache.spark.rdd.RDD.iterator(RDD.scala:337) at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) at org.apache.spark.scheduler.Task.run(Task.scala:131) at org.apache.spark.executor.ExecutorTaskRunner.anonfunrun3(Executor.scala:506) at org.apache.spark.util.Utils.tryWithSafeFinally(Utils.scala:1491)
at org.apache.spark.executor.ExecutorTaskRunner.run(Executor.scala:509) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutorWorker.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)
... 19 more

需要代码前面加入python地址：

python 复制代码 
import os # 导入os模块
os.environ['PYSPARK_PYTHON']='"C:\\Python38\\python.exe"'#本机电脑所使用的python编译器的地址
python 复制代码 
#测试内容：
import os # 导入os模块
os.environ['PYSPARK_PYTHON']='"C:\\Python38\\python.exe"'#本机电脑所使用的python编译器的地址
from pyspark import SparkContext

sc = SparkContext("local","Simple App")
doc = sc.parallelize([['a','b','c'],['b','d','d']])
words = doc.flatMap(lambda d:d).distinct().collect()
word_dict = {w:i for w,i in zip(words,range(len(words)))}
word_dict_b = sc.broadcast(word_dict)

def wordCountPerDoc(d):
    dict={}
    wd = word_dict_b.value
    for w in d:
        if dict.get(wd[w],0):
            dict[wd[w]] +=1
        else:
            dict[wd[w]] = 1
    return dict
print(doc.map(wordCountPerDoc).collect())
print("successful!")

C:\Python38\python.exe C:/untitled5/test1203.py
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).

{0: 1, 1: 1, 2: 1}, {1: 1, 3: 2}

successful!

Process finished with exit code 0

相关推荐
dpxiaolong34 分钟前
RK3588平台用v4l工具调试USB摄像头实践（亮度，饱和度，对比度，色相等）
android·windows
꧁坚持很酷꧂1 小时前
Winddows11官网下载安装VMware Workstation Pro17（图文详解）
windows
心随_风动2 小时前
主流操作系统对比分析（macOS、Linux、Windows、Unix）
linux·windows·macos
兔子蟹子2 小时前
Java集合框架解析
java·windows·python
依旧阳光的老码农5 小时前
Windows下使用 VS Code + g++ 开发 Qt GUI 项目的完整指南
开发语言·windows·qt
老兵发新帖10 小时前
pnpm install报错：此系统上禁止运行脚本
windows
zhishishe12 小时前
2025 年免费 Word 转 PDF 转换器有哪些？
android·windows·pdf·电脑·word
zhishishe20 小时前
工具指南：免费将 PDF 转换为 Word 的 10 个工具
android·windows·pdf·word
h397421 小时前
MFC文件-写MP4
c++·windows·音视频·mfc
xiaowu0801 天前
C# 使用Windows API实现键盘钩子的类
windows·c#·计算机外设
热门推荐
01从零安装 LLaMA-Factory 微调 Qwen 大模型成功及所有的坑02KGG转MP3工具|非KGM文件|解密音频03我决定放弃搞 Java 了04✨分享我在飞书多维表格中使用DeepSeek的经历✨05YOLOv8入门 | 重要性能衡量指标、训练结果评价及分析及影响mAP的因素【发论文关注的指标】06苍穹外卖面试总结07Coze扣子平台完整体验和实践（附国内和国际版对比）08yolov8，yolo11，yolo12 服务器训练到部署全流程 笔记09DeepSeek各版本说明与优缺点分析10如何在WPS和Word/Excel中直接使用DeepSeek功能