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  1. Spark
  2. SPARK-15378

Unable to load NLTK in spark RDD pipeline

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Details

    • Bug
    • Status: Resolved
    • Major
    • Resolution: Not A Problem
    • None
    • None
    • PySpark, Spark Core

    • spark version 1.6.1

    Description

      Info:

      • spark version 1.6.1
      • python version 2.7.9
      • I have install NLTK and its working fine with the following code, I am running in pyspark shell
      >>> from nltk.tokenize import word_tokenize
	>>> text = "Hello, this is testing of nltk in pyspark, mainly word_tokenize functions in nltk.tokenize, working fine with PySpark, please see the below example"
	>>> text
	//'Hello, this is testing of nltk in pyspark, mainly word_tokenize functions in nltk.tokenize, working fine with PySpark, please see the below example'
	>>> word_token  = word_tokenize(text)
	>>> word_token
	//['Hello', ',', 'this', 'is', 'testing', 'of', 'nltk', 'in', 'pyspark', ',', 'mainly', 'word_tokenize', 'functions', 'in', 'nltk.tokenize', ',', 'working', 'fine', 'with', 'PySpark', ',', 'please', 'see', 'the', 'below', 'example']
	>>>

      Problem:

      When I try to run it using spark in-build method `map` its throwing an error ImportError: No module named nltk.tokenize

      >>> from nltk.tokenize import word_tokenize
	>>> rdd = sc.parallelize(["This is first sentence for tokenization", "second line, we need to tokenize"])
	>> rdd_tokens = rdd.map(lambda sentence : word_tokenize(sentence))
	>> rdd_tokens
	// PythonRDD[2] at RDD at PythonRDD.scala:43
	>>> rdd_tokens.collect()

      Fullstack errors: 

      	>>> from nltk.tokenize import word_tokenize
	>>> rdd = sc.parallelize(["This is first sentence for tokenization", "second line, we need to tokenize"])
	>> rdd_tokens = rdd.map(lambda sentence : word_tokenize(sentence))
	>> rdd_tokens
	// PythonRDD[2] at RDD at PythonRDD.scala:43
	>>> rdd_tokens.collect()
		16/05/17 17:06:48 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 2.0 (TID 16, spark-w-0.c.clean-feat-131014.internal): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
		  File "/usr/lib/spark/python/pyspark/worker.py", line 98, in main
		    command = pickleSer._read_with_length(infile)
		  File "/usr/lib/spark/python/pyspark/serializers.py", line 164, in _read_with_length
		    return self.loads(obj)
		  File "/usr/lib/spark/python/pyspark/serializers.py", line 422, in loads
		    return pickle.loads(obj)
		ImportError: No module named nltk.tokenize

			at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
			at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
			at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
			at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
			at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
			at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
			at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
			at org.apache.spark.scheduler.Task.run(Task.scala:89)
			at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
			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)

		16/05/17 17:06:49 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in stage 2.0 failed 4 times; aborting job
		16/05/17 17:06:49 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.3 in stage 2.0 (TID 23, spark-w-0.c.clean-feat-131014.internal): org.apache.spark.TaskKilledException
			at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:204)
			at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
			at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
			at java.lang.Thread.run(Thread.java:745)

		Traceback (most recent call last):
		  File "<stdin>", line 1, in <module>
		  File "/usr/lib/spark/python/pyspark/rdd.py", line 771, in collect
		    port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
		  File "/usr/lib/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 813, in __call__
		  File "/usr/lib/spark/python/pyspark/sql/utils.py", line 45, in deco
		    return f(*a, **kw)
		  File "/usr/lib/spark/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line 308, 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 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2.0 (TID 22, spark-w-0.c.clean-feat-131014.internal): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
		  File "/usr/lib/spark/python/pyspark/worker.py", line 98, in main
		    command = pickleSer._read_with_length(infile)
		  File "/usr/lib/spark/python/pyspark/serializers.py", line 164, in _read_with_length
		    return self.loads(obj)
		  File "/usr/lib/spark/python/pyspark/serializers.py", line 422, in loads
		    return pickle.loads(obj)
		ImportError: No module named nltk.tokenize

			at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
			at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
			at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
			at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
			at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
			at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
			at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
			at org.apache.spark.scheduler.Task.run(Task.scala:89)
			at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
			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$$failJobAndIndependentStages(DAGScheduler.scala:1431)
			at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
			at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
			at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
			at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
			at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
			at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
			at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
			at scala.Option.foreach(Option.scala:236)
			at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
			at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
			at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
			at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
			at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
			at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
			at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
			at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
			at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
			at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
			at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)
			at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
			at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
			at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
			at org.apache.spark.rdd.RDD.collect(RDD.scala:926)
			at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:405)
			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:231)
			at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
			at py4j.Gateway.invoke(Gateway.java:259)
			at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
			at py4j.commands.CallCommand.execute(CallCommand.java:79)
			at py4j.GatewayConnection.run(GatewayConnection.java:209)
			at java.lang.Thread.run(Thread.java:745)
		Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
		  File "/usr/lib/spark/python/pyspark/worker.py", line 98, in main
		    command = pickleSer._read_with_length(infile)
		  File "/usr/lib/spark/python/pyspark/serializers.py", line 164, in _read_with_length
		    return self.loads(obj)
		  File "/usr/lib/spark/python/pyspark/serializers.py", line 422, in loads
		    return pickle.loads(obj)
		ImportError: No module named nltk.tokenize

			at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
			at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
			at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
			at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
			at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
			at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
			at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
			at org.apache.spark.scheduler.Task.run(Task.scala:89)
			at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
			at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
			at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
			... 1 more

		>>>

      Main issue at:

       File "/usr/lib/spark/python/pyspark/serializers.py", line 422, in loads
		    return pickle.loads(obj)
		ImportError: No module named nltk.tokenize

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            Unassigned Unassigned
            krishnaiitd Krishna Prasad
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              Created:
              Updated:
              Resolved: