I am using PySpark(v.2.1.0) in iPython notebook (python v.3.6) over virtualenv in my Mac(Sierra 10.12.3 Beta).
1.I launched iPython notebook by shooting this in Terminal -
PYSPARK_PYTHON=python3 PYSPARK_DRIVER_PYTHON=ipython PYSPARK_DRIVER_PYTHON_OPTS="notebook" /Applications/spark-2.1.0-bin-hadoop2.7/bin/pyspark
2.Loaded my file to Spark Context and ensured its loaded-
>>>lines = sc.textFile("/Users/PanchusMac/Dropbox/Learn_py/Virtual_Env/pyspark/README.md")
>>>for i in lines.collect():
print(i)
And it worked fine and printed the result over my console as shown:
# 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.
Also checked the sc -
>>>print(sc)
<pyspark.context.SparkContext object at 0x101ce4cc0>
Now when I am trying to execute
lines.count()orlines.first()functions over my RDD, I ended up with following error -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>", 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/context.py", line 36, in <module> 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/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", 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>", 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/context.py", line 36, in <module> 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/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) ... 1 more
Could someone explain me where does it went wrong ? Note: When I performed the same operations in my Mac Terminal, they worked just as expected.
Pyspark 2.1.0 is not compatible with python 3.6, see https://issues.apache.org/jira/browse/SPARK-19019.
You need to use earlier python version or you can try building master or 2.1 branch from github and it should work.
Yeah I had the same problem long time ago in Pyspark in Anaconda I tried several ways to rectify this finally I found on my own by installing Java for anaconda separately afterwards there is no Py4jerror.
Tung Nguyen
If you are using Anaconda, try to install java-jdk for Anaconda:
conda install -c cyclus java-jdk
来源：https://stackoverflow.com/questions/41840296/pyspark-in-ipython-notebook-raises-py4jjavaerror-when-using-count-and-first