In [ ]:
from pyspark.sql import Row

In [2]:
points = sc.textFile("/home/and/Documents/PhD/Code/Y2Q1/SDB/Project/Code/points.txt")\
.map(lambda line: line.split(","))\
.map(lambda p: Row(tag=p[0], x=float(p[1]), y=float(p[1])))

In [3]:
points = points.toDF()
points.show()


---------------------------------------------------------------------------
Py4JJavaError                             Traceback (most recent call last)
<ipython-input-3-0ed3ec778fcd> in <module>()
----> 1 points = points.toDF()
      2 points.show()

/home/and/Documents/Projects/Simba/Simba/engine/python/pyspark/sql/context.pyc in toDF(self, schema, sampleRatio)
     60         [Row(name=u'Alice', age=1)]
     61         """
---> 62         return sqlContext.createDataFrame(self, schema, sampleRatio)
     63 
     64     RDD.toDF = toDF

/home/and/Documents/Projects/Simba/Simba/engine/python/pyspark/sql/context.pyc in createDataFrame(self, data, schema, samplingRatio)
    424 
    425         if isinstance(data, RDD):
--> 426             rdd, schema = self._createFromRDD(data, schema, samplingRatio)
    427         else:
    428             rdd, schema = self._createFromLocal(data, schema)

/home/and/Documents/Projects/Simba/Simba/engine/python/pyspark/sql/context.pyc in _createFromRDD(self, rdd, schema, samplingRatio)
    311         """
    312         if schema is None or isinstance(schema, (list, tuple)):
--> 313             struct = self._inferSchema(rdd, samplingRatio)
    314             converter = _create_converter(struct)
    315             rdd = rdd.map(converter)

/home/and/Documents/Projects/Simba/Simba/engine/python/pyspark/sql/context.pyc in _inferSchema(self, rdd, samplingRatio)
    255         :return: StructType
    256         """
--> 257         first = rdd.first()
    258         if not first:
    259             raise ValueError("The first row in RDD is empty, "

/home/and/Documents/Projects/Simba/Simba/engine/python/pyspark/rdd.pyc in first(self)
   1313         ValueError: RDD is empty
   1314         """
-> 1315         rs = self.take(1)
   1316         if rs:
   1317             return rs[0]

/home/and/Documents/Projects/Simba/Simba/engine/python/pyspark/rdd.pyc in take(self, num)
   1295 
   1296             p = range(partsScanned, min(partsScanned + numPartsToTry, totalParts))
-> 1297             res = self.context.runJob(self, takeUpToNumLeft, p)
   1298 
   1299             items += res

/home/and/Documents/Projects/Simba/Simba/engine/python/pyspark/context.pyc in runJob(self, rdd, partitionFunc, partitions, allowLocal)
    937         # SparkContext#runJob.
    938         mappedRDD = rdd.mapPartitions(partitionFunc)
--> 939         port = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd, partitions)
    940         return list(_load_from_socket(port, mappedRDD._jrdd_deserializer))
    941 

/home/and/Documents/Projects/Simba/Simba/engine/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:

/home/and/Documents/Projects/Simba/Simba/engine/python/pyspark/sql/utils.pyc 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()

/home/and/Documents/Projects/Simba/Simba/engine/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.runJob.
: 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): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/home/and/Documents/Projects/Simba/Simba/engine/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main
    process()
  File "/home/and/Documents/Projects/Simba/Simba/engine/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/home/and/Documents/Projects/Simba/Simba/engine/python/pyspark/serializers.py", line 263, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "/home/and/Documents/Projects/Simba/Simba/engine/python/pyspark/rdd.py", line 1293, in takeUpToNumLeft
    yield next(iterator)
  File "<ipython-input-2-d90af23790d6>", line 1, in <lambda>
NameError: global name 'Row' is not defined

	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:213)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
	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$1.run(EventLoop.scala:48)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
	at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:393)
	at org.apache.spark.api.python.PythonRDD.runJob(PythonRDD.scala)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:606)
	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 "/home/and/Documents/Projects/Simba/Simba/engine/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main
    process()
  File "/home/and/Documents/Projects/Simba/Simba/engine/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process
    serializer.dump_stream(func(split_index, iterator), outfile)
  File "/home/and/Documents/Projects/Simba/Simba/engine/python/pyspark/serializers.py", line 263, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "/home/and/Documents/Projects/Simba/Simba/engine/python/pyspark/rdd.py", line 1293, in takeUpToNumLeft
    yield next(iterator)
  File "<ipython-input-2-d90af23790d6>", line 1, in <lambda>
NameError: global name 'Row' is not defined

	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:213)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
	... 1 more

In [ ]: