title: Pyspark Error: "Py4JJavaError: An error occurred while calling o655.count." when calling count() method on dataframe
body: <p>I'm new to Spark and I'm using Pyspark 2.3.1 to read in a csv file into a dataframe. I'm able to read in the file and print values in a Jupyter notebook running within an anaconda environment. This is the code I'm using:</p>
  
  <pre><code># Start session
  spark = SparkSession \
  .builder \
  .appName("Embedding Models") \
  .config('spark.ui.showConsoleProgress', 'true') \
  .config("spark.master", "local[2]") \
  .getOrCreate()
  
  sqlContext = sql.SQLContext(spark)
  schema = StructType([
           StructField("Index", IntegerType(), True),
           StructField("title", StringType(), True),
           StructField("body", StringType(), True)])
  
  df= sqlContext.read.csv("../data/faq_data.csv",
                           header=True, 
                           mode="DROPMALFORMED",
                           schema=schema)
  </code></pre>
  
  <p>Output:</p>
  
  <pre><code>df.show()
  
  +-----+--------------------+--------------------+
  |Index|               title|                body|
  +-----+--------------------+--------------------+
  |    0|What does “quantu...|Quantum theory is...|
  |    1|What is a quantum...|A quantum compute...|
  </code></pre>
  
  <p>However when I call the <code>.count()</code> method on the dataframe it throws the below error </p>
  
  <pre><code>    ---------------------------------------------------------------------------
  Py4JJavaError                             Traceback (most recent call last)
  &lt;ipython-input-29-913a2f9eb5fc&gt; in &lt;module&gt;()
  ----&gt; 1 df.count()
  
  ~/anaconda3/envs/Community/lib/python3.6/site-packages/pyspark/sql/dataframe.py in count(self)
      453         2
      454         """
  --&gt; 455         return int(self._jdf.count())
      456 
      457     @ignore_unicode_prefix
  
  ~/anaconda3/envs/Community/lib/python3.6/site-packages/py4j/java_gateway.py in __call__(self, *args)
     1255         answer = self.gateway_client.send_command(command)
     1256         return_value = get_return_value(
  -&gt; 1257             answer, self.gateway_client, self.target_id, self.name)
     1258 
     1259         for temp_arg in temp_args:
  
  ~/anaconda3/envs/Community/lib/python3.6/site-packages/pyspark/sql/utils.py 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()
  
  ~/anaconda3/envs/Community/lib/python3.6/site-packages/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
      326                 raise Py4JJavaError(
      327                     "An error occurred while calling {0}{1}{2}.\n".
  --&gt; 328                     format(target_id, ".", name), value)
      329             else:
      330                 raise Py4JError(
  
  Py4JJavaError: An error occurred while calling o655.count.
  : 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:449)
      at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:432)
      at scala.collection.TraversableLike$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$$anon$3.visitMethodInsn(ClosureCleaner.scala:432)
      at org.apache.xbean.asm5.ClassReader.a(Unknown Source)
      at org.apache.xbean.asm5.ClassReader.b(Unknown Source)
      at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
      at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
      at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:262)
      at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:261)
      at scala.collection.immutable.List.foreach(List.scala:381)
      at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:261)
      at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:159)
      at org.apache.spark.SparkContext.clean(SparkContext.scala:2299)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:2073)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099)
      at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:939)
      at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
      at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
      at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
      at org.apache.spark.rdd.RDD.collect(RDD.scala:938)
      at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:297)
      at org.apache.spark.sql.Dataset$$anonfun$count$1.apply(Dataset.scala:2770)
      at org.apache.spark.sql.Dataset$$anonfun$count$1.apply(Dataset.scala:2769)
      at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3254)
      at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
      at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3253)
      at org.apache.spark.sql.Dataset.count(Dataset.scala:2769)
      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:282)
      at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
      at py4j.commands.CallCommand.execute(CallCommand.java:79)
      at py4j.GatewayConnection.run(GatewayConnection.java:238)
      at java.base/java.lang.Thread.run(Thread.java:844)
  </code></pre>
  
  <p>I'm using Python 3.6.5 if that makes a difference. </p>