title: Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe
body: <pre><code>            import os 
          import sys 
          os.chdir("/home/hp/Downloads/spark-2.0.0-bin-hadoop2.7/bin")
          os.curdir
          if 'SPARK_HOME' not in os.environ:
              os.environ['SPARK_HOME'] = '/home/hp/Downloads/spark-2.0.0-bin-hadoop2.7'
          SPARK_HOME = os.environ['SPARK_HOME']
          sys.path.insert(0,os.path.join(SPARK_HOME,"python"))
          sys.path.insert(0,os.path.join(SPARK_HOME,"python","lib"))
          sys.path.insert(0,os.path.join(SPARK_HOME,"python","lib","pyspark.zip"))
          sys.path.insert(0,os.path.join(SPARK_HOME,"python","lib","py4j-0.9-src.zip"))
      from pyspark import SparkContext
      from pyspark import SparkConf
  
      # Optionally configure Spark Settings
      conf=SparkConf()
      conf.set("spark.executor.memory", "1g")
      conf.set("spark.cores.max", "2")
  
      conf.setAppName("V2 Maestros")
  
      ## Initialize SparkContext. Run only once. Otherwise you get multiple 
      #Context Error.
      sc = SparkContext('local', conf=conf)
  
      #Test to make sure everything works.
      lines=sc.textFile("auto-data.csv")
      lines.count()
  </code></pre>
  
  <p>This is the error that occurred. It was simple program calculating the number of entering of the file but this error came up. I have kept the file in both the locations mention in the code even though the result is the same.</p>
  
  <pre><code>Py4JJavaError                             Traceback (most recent call last)
  &lt;ipython-input-6-5c9242495358&gt; in &lt;module&gt;()
        1 lines = sc.textFile("auto-save.csv")
  ----&gt; 2 lines.count()
  
  /home/hp/Downloads/spark-2.0.0-bin-hadoop2.7/python/pyspark/rdd.pyc in count(self)
     1006         3
     1007         """
  -&gt; 1008         return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
     1009 
     1010     def stats(self):
  
  /home/hp/Downloads/spark-2.0.0-bin-hadoop2.7/python/pyspark/rdd.pyc in sum(self)
      997         6.0
      998         """
  --&gt; 999         return self.mapPartitions(lambda x: [sum(x)]).fold(0, operator.add)
     1000 
     1001     def count(self):
  
  /home/hp/Downloads/spark-2.0.0-bin-hadoop2.7/python/pyspark/rdd.pyc in fold(self, zeroValue, op)
      871         # zeroValue provided to each partition is unique from the one provided
      872         # to the final reduce call
  --&gt; 873         vals = self.mapPartitions(func).collect()
      874         return reduce(op, vals, zeroValue)
      875 
  
  /home/hp/Downloads/spark-2.0.0-bin-hadoop2.7/python/pyspark/rdd.pyc in collect(self)
      774         """
      775         with SCCallSiteSync(self.context) as css:
  --&gt; 776             port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
      777         return list(_load_from_socket(port, self._jrdd_deserializer))
      778 
  
  /home/hp/Downloads/spark-2.0.0-bin-hadoop2.7/python/lib/py4j-0.10.1-src.zip/py4j/java_gateway.py in __call__(self, *args)
      931         answer = self.gateway_client.send_command(command)
      932         return_value = get_return_value(
  --&gt; 933             answer, self.gateway_client, self.target_id, self.name)
      934 
      935         for temp_arg in temp_args:
  
  /home/hp/Downloads/spark-2.0.0-bin-hadoop2.7/python/pyspark/sql/utils.pyc in deco(*a, **kw)
       61     def deco(*a, **kw):
       62         try:
  ---&gt; 63             return f(*a, **kw)
       64         except py4j.protocol.Py4JJavaError as e:
       65             s = e.java_exception.toString()
  
  /home/hp/Downloads/spark-2.0.0-bin-hadoop2.7/python/lib/py4j-0.10.1-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
      310                 raise Py4JJavaError(
      311                     "An error occurred while calling {0}{1}{2}.\n".
  --&gt; 312                     format(target_id, ".", name), value)
      313             else:
      314                 raise Py4JError(
  
  Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
  : org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: file:/home/hp/Downloads/spark-2.0.0-bin-hadoop2.7/auto-save.csv
      at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:287)
      at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:229)
      at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:315)
      at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:200)
      at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248)
      at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246)
      at scala.Option.getOrElse(Option.scala:121)
      at org.apache.spark.rdd.RDD.partitions(RDD.scala:246)
      at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
      at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248)
      at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246)
      at scala.Option.getOrElse(Option.scala:121)
      at org.apache.spark.rdd.RDD.partitions(RDD.scala:246)
      at org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:53)
      at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248)
      at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246)
      at scala.Option.getOrElse(Option.scala:121)
      at org.apache.spark.rdd.RDD.partitions(RDD.scala:246)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:1911)
      at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:893)
      at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
      at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
      at org.apache.spark.rdd.RDD.withScope(RDD.scala:358)
      at org.apache.spark.rdd.RDD.collect(RDD.scala:892)
      at org.apache.spark.api.python.PythonRDD$.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:237)
      at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
      at py4j.Gateway.invoke(Gateway.java:280)
      at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:128)
      at py4j.commands.CallCommand.execute(CallCommand.java:79)
      at py4j.GatewayConnection.run(GatewayConnection.java:211)
      at java.lang.Thread.run(Thread.java:745)
  </code></pre>