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PySpark + Scikit-learn = Sparkit-learn
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Py4JJavaError while fitting a splearn.rdd.DictRDD? #63

Open alonsopg opened 8 years ago

alonsopg commented 8 years ago

From the the documentation, I tried a very simple classification pipeline:

In:

X = df['text'].values
y = df['labels'].values

#<class 'numpy.ndarray'> :
X_rdd = sc.parallelize(X, 4)
#<class 'numpy.ndarray'> :
y_rdd = sc.parallelize(y, 4)

Z = DictRDD((X_rdd, y_rdd),
            columns=('text', 'labels'),
            dtype=[np.ndarray, np.ndarray])

Then:

Out:
<class 'splearn.rdd.DictRDD'> from PythonRDD[54] at RDD at PythonRDD.scala:43

Then I initialize both, a distribuited pipeline and a local one:

In:    
local_pipeline = Pipeline((
        ('vect', HashingVectorizer()),
        ('tfidf', TfidfTransformer()),
        ('clf', LinearSVC())
    ))
    dist_pipeline = SparkPipeline((
        ('vect', SparkHashingVectorizer()),
        ('tfidf', SparkTfidfTransformer()),
        ('clf', SparkLinearSVC())
    ))

    local_pipeline.fit(X, y)
    dist_pipeline.fit(Z, clf__classes=np.unique(y))

    y_pred_local = local_pipeline.predict(X)
    y_pred_dist = dist_pipeline.predict(Z[:, 'text'])

However, I got the following exception:

---------------------------------------------------------------------------
Py4JJavaError                             Traceback (most recent call last)
<ipython-input-26-dfd551e98564> in <module>()
     11 
     12 local_pipeline.fit(X, y)
---> 13 dist_pipeline.fit(Z, clf__classes=np.unique(y))
     14 
     15 y_pred_local = local_pipeline.predict(X)

/usr/local/lib/python3.5/site-packages/splearn/pipeline.py in fit(self, Z, **fit_params)
    108         """
    109         Zt, fit_params = self._pre_transform(Z, **fit_params)
--> 110         self.steps[-1][-1].fit(Zt, **fit_params)
    111         return self
    112 

/usr/local/lib/python3.5/site-packages/splearn/svm/classes.py in fit(self, Z, classes)
    117         check_rdd(Z, {'X': (sp.spmatrix, np.ndarray)})
    118         self._classes_ = np.unique(classes)
--> 119         return self._spark_fit(SparkLinearSVC, Z)
    120 
    121     def predict(self, X):

/usr/local/lib/python3.5/site-packages/splearn/linear_model/base.py in _spark_fit(self, cls, Z, *args, **kwargs)
     82         )
     83         models = Z.map(mapper)
---> 84         avg = models.sum() / models.count()
     85         self.__dict__.update(avg.__dict__)
     86         return self

/usr/local/lib/python3.5/site-packages/splearn/rdd.py in bypass(*args, **kwargs)
    172         """
    173         def bypass(*args, **kwargs):
--> 174             result = getattr(self._rdd, attr)(*args, **kwargs)
    175             if isinstance(result, RDD):
    176                 if result is self._rdd:

/usr/local/Cellar/apache-spark/1.6.1/libexec/python/pyspark/rdd.py in sum(self)
    993         6.0
    994         """
--> 995         return self.mapPartitions(lambda x: [sum(x)]).fold(0, operator.add)
    996 
    997     def count(self):

/usr/local/Cellar/apache-spark/1.6.1/libexec/python/pyspark/rdd.py in fold(self, zeroValue, op)
    867         # zeroValue provided to each partition is unique from the one provided
    868         # to the final reduce call
--> 869         vals = self.mapPartitions(func).collect()
    870         return reduce(op, vals, zeroValue)
    871 

/usr/local/Cellar/apache-spark/1.6.1/libexec/python/pyspark/rdd.py in collect(self)
    769         """
    770         with SCCallSiteSync(self.context) as css:
--> 771             port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
    772         return list(_load_from_socket(port, self._jrdd_deserializer))
    773 

/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py in __call__(self, *args)
    811         answer = self.gateway_client.send_command(command)
    812         return_value = get_return_value(
--> 813             answer, self.gateway_client, self.target_id, self.name)
    814 
    815         for temp_arg in temp_args:

/usr/local/Cellar/apache-spark/1.6.1/libexec/python/pyspark/sql/utils.py in deco(*a, **kw)
     43     def deco(*a, **kw):
     44         try:
---> 45             return f(*a, **kw)
     46         except py4j.protocol.Py4JJavaError as e:
     47             s = e.java_exception.toString()

/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/py4j-0.9-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
    306                 raise Py4JJavaError(
    307                     "An error occurred while calling {0}{1}{2}.\n".
--> 308                     format(target_id, ".", name), value)
    309             else:
    310                 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 0 in stage 30.0 failed 1 times, most recent failure: Lost task 0.0 in stage 30.0 (TID 96, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main
    process()
  File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/serializers.py", line 263, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/pyspark/rdd.py", line 864, in func
    acc = op(obj, acc)
  File "/usr/local/lib/python3.5/site-packages/splearn/linear_model/base.py", line 27, in __add__
    model.coef_ += other.coef_
AttributeError: 'int' object has no attribute 'coef_'

    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.GeneratedMethodAccessor41.invoke(Unknown Source)
    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/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main
    process()
  File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/serializers.py", line 263, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/pyspark/rdd.py", line 864, in func
    acc = op(obj, acc)
  File "/usr/local/lib/python3.5/site-packages/splearn/linear_model/base.py", line 27, in __add__
    model.coef_ += other.coef_
AttributeError: 'int' object has no attribute 'coef_'

    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

Any idea of why this is happening and how to solve this issue?.