title: Issue with df.show() in pyspark
body: <p>I have the following code:</p>
  
  <pre><code>import pyspark 
  import pandas as pd
  from pyspark.sql import SQLContext
  from pyspark.sql.functions import udf
  from pyspark.sql.types import IntegerType, StringType
  sc = pyspark.SparkContext()
  sqlCtx = SQLContext(sc)
  
  df_pd = pd.DataFrame(
      data={'integers': [1, 2, 3],
       'floats': [-1.0, 0.5, 2.7],
       'integer_arrays': [[1, 2], [3, 4, 5], [6, 7, 8, 9]]}
  )
  df = sqlCtx.createDataFrame(df_pd)
  df.printSchema()
  </code></pre>
  
  <p>Runs fine until here, but when I run:</p>
  
  <p><code>df.show()</code></p>
  
  <p>It gives this error:</p>
  
  <pre><code>---------------------------------------------------------------------------
  Py4JJavaError                             Traceback (most recent call last)
  &lt;ipython-input-10-1a6ce2362cd4&gt; in &lt;module&gt;()
  ----&gt; 1 df.show()
  
  C:\Anaconda\lib\site-packages\pyspark\sql\dataframe.py in show(self, n, truncate, vertical)
      376         """
      377         if isinstance(truncate, bool) and truncate:
  --&gt; 378             print(self._jdf.showString(n, 20, vertical))
      379         else:
      380             print(self._jdf.showString(n, int(truncate), vertical))
  
  C:\Anaconda\lib\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:
  
  C:\Anaconda\lib\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()
  
  C:\Anaconda\lib\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 o42.showString.
  : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 1, localhost, executor driver): org.apache.spark.SparkException: Python worker failed to connect back.
      at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:170)
      at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:97)
      at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117)
      at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:108)
      at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
      at org.apache.spark.scheduler.Task.run(Task.scala:121)
      at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
      at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
      at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
      at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
      at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
      at java.lang.Thread.run(Unknown Source)
  Caused by: java.net.SocketTimeoutException: Accept timed out
      at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
      at java.net.DualStackPlainSocketImpl.socketAccept(Unknown Source)
      at java.net.AbstractPlainSocketImpl.accept(Unknown Source)
      at java.net.PlainSocketImpl.accept(Unknown Source)
      at java.net.ServerSocket.implAccept(Unknown Source)
      at java.net.ServerSocket.accept(Unknown Source)
      at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:164)
      ... 35 more
  
  Driver stacktrace:
      at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1887)
      at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1875)
      at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1874)
      at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
      at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
      at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1874)
      at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
      at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
      at scala.Option.foreach(Option.scala:257)
      at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926)
      at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2108)
      at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2057)
      at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2046)
      at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
      at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101)
      at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:365)
      at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
      at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3384)
      at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2545)
      at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2545)
      at org.apache.spark.sql.Dataset$$anonfun$53.apply(Dataset.scala:3365)
      at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
      at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
      at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
      at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3364)
      at org.apache.spark.sql.Dataset.head(Dataset.scala:2545)
      at org.apache.spark.sql.Dataset.take(Dataset.scala:2759)
      at org.apache.spark.sql.Dataset.getRows(Dataset.scala:255)
      at org.apache.spark.sql.Dataset.showString(Dataset.scala:292)
      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: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.lang.Thread.run(Unknown Source)
  Caused by: org.apache.spark.SparkException: Python worker failed to connect back.
      at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:170)
      at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:97)
      at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117)
      at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:108)
      at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
      at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
      at org.apache.spark.scheduler.Task.run(Task.scala:121)
      at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
      at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
      at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
      at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
      at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
      ... 1 more
  Caused by: java.net.SocketTimeoutException: Accept timed out
      at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
      at java.net.DualStackPlainSocketImpl.socketAccept(Unknown Source)
      at java.net.AbstractPlainSocketImpl.accept(Unknown Source)
      at java.net.PlainSocketImpl.accept(Unknown Source)
      at java.net.ServerSocket.implAccept(Unknown Source)
      at java.net.ServerSocket.accept(Unknown Source)
      at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:164)
      ... 35 more
  </code></pre>
  
  <p>How can I solve this?</p>
  
  <p>I am using:</p>
  
  <ul>
  <li>python 3.6.5 </li>
  <li>Spark v2.4.0 </li>
  <li>pyspark 2.4.0</li>
  </ul>