来自 python 工作者的错误：... SyntaxError：无效的语法答案

【问题标题】：Error from python worker:... SyntaxError: invalid syntax来自 python 工作者的错误：... SyntaxError：无效的语法
【发布时间】：2017-09-15 17:16:42
【问题描述】：

我刚刚通过这个网站在 MAC OSX 上安装了 Python、Spark、Hadoop 和 Eclipse：“https://enahwe.wordpress.com/2015/11/25/how-to-configure-eclipse-for-developing-with-python-and-spark-on-hadoop/”。我在本安装指南的第 8 步。当我运行 MyWordounts 文件时，我收到此错误：

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).
17/09/15 12:12:25 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/09/15 12:12:27 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
org.apache.spark.SparkException: 
Error from python worker:
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site.py", line 177
  file=sys.stderr)
      ^
  SyntaxError: invalid syntax
PYTHONPATH was:
  /Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/pyspark.zip:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/jars/spark-core_2.11-2.2.0.jar:/Users/Phoenix/Documents/eclipse/plugins/org.python.pydev_5.9.2.201708151115/pysrc/pydev_sitecustomize:/Users/Phoenix/Documents/MyPythonSparkProject:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/lib-dynload:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip
java.io.EOFException
at java.io.DataInputStream.readInt(DataInputStream.java:392)
at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:166)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:65)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:128)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.api.python.PairwiseRDD.compute(PythonRDD.scala:395)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:748)
17/09/15 12:12:27 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): org.apache.spark.SparkException: 
Error from python worker:
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site.py", line 177
  file=sys.stderr)
      ^
  SyntaxError: invalid syntax
PYTHONPATH was:
  /Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/pyspark.zip:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/jars/spark-core_2.11-2.2.0.jar:/Users/Phoenix/Documents/eclipse/plugins/org.python.pydev_5.9.2.201708151115/pysrc/pydev_sitecustomize:/Users/Phoenix/Documents/MyPythonSparkProject:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/lib-dynload:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip
java.io.EOFException
at java.io.DataInputStream.readInt(DataInputStream.java:392)
at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:166)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:65)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:128)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.api.python.PairwiseRDD.compute(PythonRDD.scala:395)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:748)

17/09/15 12:12:27 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
Traceback (most recent call last):
  File "/Users/Phoenix/Documents/MyPythonSparkProject/src/MyWordCounts.py", line 26, in <module>
for wc in wordCounts.collect(): 
  File "/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/pyspark/rdd.py", line 809, in collect
port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
  File "/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
  File "/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, 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: 
Error from python worker:
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site.py", line 177
  file=sys.stderr)
      ^
  SyntaxError: invalid syntax
PYTHONPATH was:
  /Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/pyspark.zip:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/jars/spark-core_2.11-2.2.0.jar:/Users/Phoenix/Documents/eclipse/plugins/org.python.pydev_5.9.2.201708151115/pysrc/pydev_sitecustomize:/Users/Phoenix/Documents/MyPythonSparkProject:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/lib-dynload:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip
java.io.EOFException
at java.io.DataInputStream.readInt(DataInputStream.java:392)
at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:166)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:65)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:128)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.api.python.PairwiseRDD.compute(PythonRDD.scala:395)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2022)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2043)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2062)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2087)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:458)
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:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: 
Error from python worker:
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site.py", line 177
  file=sys.stderr)
      ^
  SyntaxError: invalid syntax
PYTHONPATH was:
  /Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/pyspark.zip:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/jars/spark-core_2.11-2.2.0.jar:/Users/Phoenix/Documents/eclipse/plugins/org.python.pydev_5.9.2.201708151115/pysrc/pydev_sitecustomize:/Users/Phoenix/Documents/MyPythonSparkProject:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/lib-dynload:/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python:/Users/Phoenix/Documents/spark-2.2.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip
java.io.EOFException
at java.io.DataInputStream.readInt(DataInputStream.java:392)
at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:166)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:65)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:128)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.api.python.PairwiseRDD.compute(PythonRDD.scala:395)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
... 1 more

17/09/15 12:12:27 WARN TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1, localhost, executor driver): TaskKilled (stage cancelled)

这是我用于特定项目的 PYTHONPATH 的图片：looks like python 3.6

你知道我该如何解决这个问题吗？谢谢！

【问题讨论】：

您的 PYTHONPATH 表明您正在运行 Python 2.7，而不是 Python 3.6。您无法使用 Python 2 运行 Python 3 语法。
我不确定你看到我在哪里使用 Python 2.7。是因为我使用的是 Hadoop 2.7 吗？
绝对是不是 Python 3，因为该特定模块在其他方面是完全有效的 Python 3 代码。但是如果在 Python 2 下运行，你会得到确切的语法错误。
你是对的，但问题不在于 PYTHONPATH 环境变量。在我的 Python 解释器中，我添加了 PYSPARK_PYTHON 环境变量和我的 python 3.6 完整路径的值，因此 Sark 驱动程序使用正确版本的 python。非常感谢Martijn！

标签： python-3.x hadoop pyspark

【解决方案1】：

我在 3.7 版中遇到了类似的问题，我通过将以下内容添加到 Environment 部分（Eclipse -> Preferences -> PyDev -> Interpreters -> Python interpreter -> Environment）解决了这个问题：

PYSPARK_PYTHON /usr/local/bin/python3.7 PYSPARK_DRIVER_PYTHON python3

【讨论】：