title: py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe
body: <p>Getting following error while running simple word count program using PyCharm.</p>
  
  <p>Using- 
  python 2.7
  Hadoop 3.0.0
  Macos High Sierra     </p>
  
  <pre><code>Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
      Setting default log level to "WARN".
      To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
      WARNING: An illegal reflective access operation has occurred
      WARNING: Illegal reflective access by org.apache.hadoop.security.authentication.util.KerberosUtil (file:/usr/local/spark/jars/hadoop-auth-2.7.3.jar) to method sun.security.krb5.Config.getInstance()
      WARNING: Please consider reporting this to the maintainers of org.apache.hadoop.security.authentication.util.KerberosUtil
      WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
      WARNING: All illegal access operations will be denied in a future release
      18/02/22 21:29:32 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
      Traceback (most recent call last):
        File "/Users/SAM/PycharmProjects/BB/BBTest.py", line 18, in &lt;module&gt;
          output = counts.collect()
        File "/usr/local/lib/python2.7/site-packages/pyspark/rdd.py", line 809, in collect
          port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
        File "/usr/local/lib/python2.7/site-packages/py4j/java_gateway.py", line 1133, in __call__
          answer, self.gateway_client, self.target_id, self.name)
        File "/usr/local/lib/python2.7/site-packages/py4j/protocol.py", line 319, in get_return_value
          format(target_id, ".", name), value)
      py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
      : java.lang.IllegalArgumentException
          at org.apache.xbean.asm5.ClassReader.&lt;init&gt;(Unknown Source)
          at org.apache.xbean.asm5.ClassReader.&lt;init&gt;(Unknown Source)
          at org.apache.xbean.asm5.ClassReader.&lt;init&gt;(Unknown Source)
          at org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:46)
          at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:443)
          at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:426)
          at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
          at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:103)
          at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:103)
          at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:230)
          at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40)
          at scala.collection.mutable.HashMap$$anon$1.foreach(HashMap.scala:103)
          at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
          at org.apache.spark.util.FieldAccessFinder$$anon$3.visitMethodInsn(ClosureCleaner.scala:426)
          at org.apache.xbean.asm5.ClassReader.a(Unknown Source)
          at org.apache.xbean.asm5.ClassReader.b(Unknown Source)
          at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
          at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
          at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:257)
          at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:256)
          at scala.collection.immutable.List.foreach(List.scala:381)
          at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:256)
          at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:156)
          at org.apache.spark.SparkContext.clean(SparkContext.scala:2294)
          at org.apache.spark.SparkContext.runJob(SparkContext.scala:2068)
          at org.apache.spark.SparkContext.runJob(SparkContext.scala:2094)
          at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
          at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
          at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
          at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
          at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
          at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:467)
          at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
          at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
          at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
          at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
          at java.base/java.lang.reflect.Method.invoke(Method.java:564)
          at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
          at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
          at py4j.Gateway.invoke(Gateway.java:280)
          at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
          at py4j.commands.CallCommand.execute(CallCommand.java:79)
          at py4j.GatewayConnection.run(GatewayConnection.java:214)
          at java.base/java.lang.Thread.run(Thread.java:844)
  </code></pre>
  
  <p>**Ignore following text **
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