I have spark installed in local, with python, and when running the following code:
data=sc.textFile('C:\\Users\\xxxx\\Desktop\\train.csv')
data.first()
I get the following error:
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<ipython-input-11-fca93c6aedeb> in <module>()
----> 1 data.first()C:\Spark\python\pyspark\rdd.pyc in first(self)1313 ValueError: RDD is empty1314 """
-> 1315 rs = self.take(1)1316 if rs:1317 return rs[0]C:\Spark\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 += resC:\Spark\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 C:\Anaconda2\lib\site-packages\py4j\java_gateway.pyc in __call__(self, *args)1024 answer = self.gateway_client.send_command(command)1025 return_value = get_return_value(
-> 1026 answer, self.gateway_client, self.target_id, self.name)1027 1028 for temp_arg in temp_args:C:\Spark\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()C:\Anaconda2\lib\site-packages\py4j\protocol.pyc in get_return_value(answer, gateway_client, target_id, name)314 raise Py4JJavaError(315 "An error occurred while calling {0}{1}{2}.\n".
--> 316 format(target_id, ".", name), value)317 else:318 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 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 2, localhost): java.net.SocketException: Connection reset by peer: socket write errorat java.net.SocketOutputStream.socketWrite0(Native Method)at java.net.SocketOutputStream.socketWrite(Unknown Source)at java.net.SocketOutputStream.write(Unknown Source)at java.io.BufferedOutputStream.flushBuffer(Unknown Source)at java.io.BufferedOutputStream.write(Unknown Source)at java.io.DataOutputStream.write(Unknown Source)at java.io.FilterOutputStream.write(Unknown Source)at org.apache.spark.api.python.PythonRDD$.writeUTF(PythonRDD.scala:622)at org.apache.spark.api.python.PythonRDD$.org$apache$spark$api$python$PythonRDD$$write$1(PythonRDD.scala:442)at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$1.apply(PythonRDD.scala:452)at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$1.apply(PythonRDD.scala:452)at scala.collection.Iterator$class.foreach(Iterator.scala:727)at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:452)at org.apache.spark.api.python.PythonRunner$WriterThread$$anonfun$run$3.apply(PythonRDD.scala:280)at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1765)at org.apache.spark.api.python.PythonRunner$WriterThread.run(PythonRDD.scala:239)Driver stacktrace:at org.apache.spark.scheduler.DAGScheduler.org$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(Unknown Source)at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)at java.lang.reflect.Method.invoke(Unknown Source)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(Unknown Source)
Caused by: java.net.SocketException: Connection reset by peer: socket write errorat java.net.SocketOutputStream.socketWrite0(Native Method)at java.net.SocketOutputStream.socketWrite(Unknown Source)at java.net.SocketOutputStream.write(Unknown Source)at java.io.BufferedOutputStream.flushBuffer(Unknown Source)at java.io.BufferedOutputStream.write(Unknown Source)at java.io.DataOutputStream.write(Unknown Source)at java.io.FilterOutputStream.write(Unknown Source)at org.apache.spark.api.python.PythonRDD$.writeUTF(PythonRDD.scala:622)at org.apache.spark.api.python.PythonRDD$.org$apache$spark$api$python$PythonRDD$$write$1(PythonRDD.scala:442)at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$1.apply(PythonRDD.scala:452)at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$1.apply(PythonRDD.scala:452)at scala.collection.Iterator$class.foreach(Iterator.scala:727)at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:452)at org.apache.spark.api.python.PythonRunner$WriterThread$$anonfun$run$3.apply(PythonRDD.scala:280)at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1765)at org.apache.spark.api.python.PythonRunner$WriterThread.run(PythonRDD.scala:239)
I am sure the path is correct, as I have tried with other files in the same folder. I think the issue is with the size of the file, which is around 3.4 gigabytes.
Any help, please?