title: PySpark python issue: Py4JJavaError: An error occurred while calling o48.showString
body: <p>hello everyone I am working on PySpark Python and I have mentioned the code and getting some issue, I am wondering if someone knows about the following issue?</p>
  
  <pre><code>windowSpec = Window.partitionBy(df_Broadcast['id']).orderBy(df_Broadcast['id'])
  windowSpec
  
  IdShift = lag(df_Broadcast["id"]).over(windowSpec).alias('IdShift')
  
  df_Broadcast = df_Broadcast.withColumn('CheckId', df_Broadcast[idI'] != IdShift)
  
  df_Broadcast.show()
  </code></pre>
  
  <p>This is my piece of Code and it will return the bool values true false, when first time I was running this code it was working fine, but after restarting the kernal, this is what I am getting an error.</p>
  
  <pre><code>---------------------------------------------------------------------------
  Py4JJavaError                             Traceback (most recent call last)
  &lt;ipython-input-11-2d28913c9e2c&gt; in &lt;module&gt;()
  ----&gt; 1 df_Broadcast.show()
  
  ~/anaconda3/lib/python3.6/site-packages/pyspark/sql/dataframe.py in show(self, n, truncate)
      334         """
      335         if isinstance(truncate, bool) and truncate:
  --&gt; 336             print(self._jdf.showString(n, 20))
      337         else:
      338             print(self._jdf.showString(n, int(truncate)))
  
  ~/anaconda3/lib/python3.6/site-packages/py4j/java_gateway.py in __call__(self, *args)
     1131         answer = self.gateway_client.send_command(command)
     1132         return_value = get_return_value(
  -&gt; 1133             answer, self.gateway_client, self.target_id, self.name)
     1134 
     1135         for temp_arg in temp_args:
  
  ~/anaconda3/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/lib/python3.6/site-packages/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
      317                 raise Py4JJavaError(
      318                     "An error occurred while calling {0}{1}{2}.\n".
  --&gt; 319                     format(target_id, ".", name), value)
      320             else:
      321                 raise Py4JError(
  
  Py4JJavaError: An error occurred while calling o48.showString.
  : org.apache.spark.SparkException: Job aborted due to stage failure: Task 18 in stage 5.0 failed 1 times, most recent failure: Lost task 18.0 in stage 5.0 (TID 116, localhost, executor driver): java.lang.OutOfMemoryError: Java heap space
  
  Driver stacktrace:
      at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499)
      at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487)
      at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486)
      at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
      at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
      at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486)
      at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
      at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
      at scala.Option.foreach(Option.scala:257)
      at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
      at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714)
      at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669)
      at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658)
      at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
      at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:2022)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:2043)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:2062)
      at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:336)
      at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
      at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2853)
      at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2153)
      at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2153)
      at org.apache.spark.sql.Dataset$$anonfun$55.apply(Dataset.scala:2837)
      at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
      at org.apache.spark.sql.Dataset.withAction(Dataset.scala:2836)
      at org.apache.spark.sql.Dataset.head(Dataset.scala:2153)
      at org.apache.spark.sql.Dataset.take(Dataset.scala:2366)
      at org.apache.spark.sql.Dataset.showString(Dataset.scala:245)
      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:498)
      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.lang.Thread.run(Thread.java:748)
  Caused by: java.lang.OutOfMemoryError: Java heap space
  </code></pre>