如何解决使用count和first时，iPython Notebook中的PySpark引发Py4JJavaError
Pyspark 2.1.0与python 3.6不兼容，请参阅https://issues.apache.org/jira/browse/SPARK-19019。
您需要使用早期的python版本，或者可以尝试从github构建master或2.1分支，它应该可以工作。
解决方法
我在Mac（Sierra 10.12.3 Beta）中的virtualenv上的iPython笔记本（python
v.3.6）中使用PySpark（v.2.1.0）。
1.我通过在Terminal上进行拍摄来启动了iPython笔记本-
PYSPARK_PYTHON=python3 PYSPARK_DRIVER_PYTHON=ipython PYSPARK_DRIVER_PYTHON_OPTS="notebook" /Applications/spark-2.1.0-bin-hadoop2.7/bin/pyspark
2.将我的文件加载到Spark Context并确保其加载-
>>>lines = sc.textFile("/Users/PanchusMac/Dropbox/Learn_py/Virtual_Env/pyspark/README.md")
>>>for i in lines.collect():
print(i)
效果很好，并在控制台上打印了结果，如下所示：
# Apache Spark
Spark is a fast and general cluster computing system for Big Data. It provides
high-level APIs in Scala,Java,Python,and R,and an optimized engine that
supports general computation graphs for data analysis. It also supports a
rich set of higher-level tools including Spark SQL for SQL and DataFrames,MLlib for machine learning,GraphX for graph processing,and Spark Streaming for stream processing.
<http://spark.apache.org/>
## Online Documentation
You can find the latest Spark documentation,including a programming
guide,on the [project web page](http://spark.apache.org/documentation.html).
This README file only contains basic setup instructions.
还检查了sc-
>>>print(sc)
<pyspark.context.SparkContext object at 0x101ce4cc0>
- 现在，当我尝试通过RDD执行
lines.count()或lines.first()运行时，出现以下错误-
Py4JJavaError Traceback (most recent call last)
<ipython-input-33-44aeefde846d> in <module>()
----> 1 lines.count()
/Applications/spark-2.1.0-bin-hadoop2.7/python/pyspark/rdd.py in count(self)
1039 3
1040 """
-> 1041 return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
1042
1043 def stats(self):
/Applications/spark-2.1.0-bin-hadoop2.7/python/pyspark/rdd.py in sum(self)
1030 6.0
1031 """
-> 1032 return self.mapPartitions(lambda x: [sum(x)]).fold(0,operator.add)
1033
1034 def count(self):
/Applications/spark-2.1.0-bin-hadoop2.7/python/pyspark/rdd.py in fold(self,zeroValue,op)
904 # zeroValue provided to each partition is unique from the one provided
905 # to the final reduce call
--> 906 vals = self.mapPartitions(func).collect()
907 return reduce(op,vals,zeroValue)
908
/Applications/spark-2.1.0-bin-hadoop2.7/python/pyspark/rdd.py in collect(self)
807 """
808 with SCCallSiteSync(self.context) as css:
--> 809 port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
810 return list(_load_from_socket(port,self._jrdd_deserializer))
811
/Applications/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py in __call__(self,*args)
1131 answer = self.gateway_client.send_command(command)
1132 return_value = get_return_value(
-> 1133 answer,self.gateway_client,self.target_id,self.name)
1134
1135 for temp_arg in temp_args:
/Applications/spark-2.1.0-bin-hadoop2.7/python/pyspark/sql/utils.py in deco(*a,**kw)
61 def deco(*a,**kw):
62 try:
---> 63 return f(*a,**kw)
64 except py4j.protocol.Py4JJavaError as e:
65 s = e.java_exception.toString()
/Applications/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py in get_return_value(answer,gateway_client,target_id,name)
317 raise Py4JJavaError(
318 "An error occurred while calling {0}{1}{2}.\n".
--> 319 format(target_id,".",name),value)
320 else:
321 raise Py4JError(
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 14.0 failed 1 times,most recent failure: Lost task 1.0 in stage 14.0 (TID 22,localhost,executor driver): org.apache.spark.SparkException:
Error from python worker:
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/runpy.py",line 183,in _run_module_as_main
mod_name,mod_spec,code = _get_module_details(mod_name,_Error)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/runpy.py",line 109,in _get_module_details
__import__(pkg_name)
File "<frozen importlib._bootstrap>",line 961,in _find_and_load
File "<frozen importlib._bootstrap>",line 950,in _find_and_load_unlocked
File "<frozen importlib._bootstrap>",line 646,in _load_unlocked
File "<frozen importlib._bootstrap>",line 616,in _load_backward_compatible
File "/Applications/spark-2.1.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/__init__.py",line 44,in <module>
File "<frozen importlib._bootstrap>",in _load_backward_compatible
File "/Applications/spark-2.1.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py",line 36,in _load_backward_compatible
File "/Applications/spark-2.1.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/java_gateway.py",line 25,in <module>
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/platform.py",line 886,in <module>
"system node release version machine processor")
File "/Applications/spark-2.1.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/serializers.py",line 393,in namedtuple
TypeError: namedtuple() missing 3 required keyword-only arguments: 'verbose','rename',and 'module'
PYTHONPATH was:
/Applications/spark-2.1.0-bin-hadoop2.7/python/lib/pyspark.zip:/Applications/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip:/Applications/spark-2.1.0-bin-hadoop2.7/jars/spark-core_2.11-2.1.0.jar:/Applications/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip:/Applications/spark-2.1.0-bin-hadoop2.7/python/:
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:116)
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.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1931)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1958)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:935)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.RDD.collect(RDD.scala:934)
at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:453)
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:497)
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:745)
Caused by: org.apache.spark.SparkException:
Error from python worker:
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/runpy.py",and 'module'
PYTHONPATH was:
/Applications/spark-2.1.0-bin-hadoop2.7/python/lib/pyspark.zip:/Applications/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip:/Applications/spark-2.1.0-bin-hadoop2.7/jars/spark-core_2.11-2.1.0.jar:/Applications/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip:/Applications/spark-2.1.0-bin-hadoop2.7/python/:
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:116)
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.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
... 1 more
有人可以解释一下哪里出了问题吗？注意：当我在Mac Terminal中执行相同的操作时，它们按预期工作。
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