title: PySpark 2.4.5: IllegalArgumentException when using PandasUDF
body: <p>I am trying Pandas UDF and facing the IllegalArgumentException. I also tried replicating examples from PySpark Documentation <a href="https://spark.apache.org/docs/latest/api/python/pyspark.sql.html?highlight=arrow#pyspark.sql.GroupedData" rel="noreferrer">GroupedData</a> to check but still getting the error.</p>
  
  <p>Following is the environment configuration</p>
  
  <ul>
  <li>python3.7</li>
  <li>Installed PySpark==2.4.5 using pip</li>
  <li>Installed PyArrow==0.16.0 using pip</li>
  </ul>
  
  <pre><code>from pyspark.sql.functions import pandas_udf, PandasUDFType
  
  @pandas_udf('int', PandasUDFType.GROUPED_AGG)  
  def min_udf(v):
      return v.min()
  
  sorted(gdf.agg(min_udf(df.age)).collect())  
  </code></pre>
  
  <p>Output</p>
  
  <p></p>
  
  <pre><code>Py4JJavaError                             Traceback (most recent call last)
  &lt;ipython-input-66-94a0a39bfe30&gt; in &lt;module&gt;
  ----&gt; 1 sorted(gdf.agg(min_udf(sample_data.sqft)).collect())
  
  ~/Desktop/test/venv/lib/python3.7/site-packages/pyspark/sql/dataframe.py in collect(self)
      532         """
      533         with SCCallSiteSync(self._sc) as css:
  --&gt; 534             sock_info = self._jdf.collectToPython()
      535         return list(_load_from_socket(sock_info, BatchedSerializer(PickleSerializer())))
      536 
  
  ~/Desktop/test/venv/lib/python3.7/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:
  
  ~/Desktop/test/venv/lib/python3.7/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()
  
  ~/Desktop/test/venv/lib/python3.7/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 o665.collectToPython.
  : org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 25.0 failed 1 times, most recent failure: Lost task 2.0 in stage 25.0 (TID 232, localhost, executor driver): java.lang.IllegalArgumentException
      at java.nio.ByteBuffer.allocate(ByteBuffer.java:334)
      at org.apache.arrow.vector.ipc.message.MessageSerializer.readMessage(MessageSerializer.java:543)
      at org.apache.arrow.vector.ipc.message.MessageChannelReader.readNext(MessageChannelReader.java:58)
      at org.apache.arrow.vector.ipc.ArrowStreamReader.readSchema(ArrowStreamReader.java:132)
      at org.apache.arrow.vector.ipc.ArrowReader.initialize(ArrowReader.java:181)
      at org.apache.arrow.vector.ipc.ArrowReader.ensureInitialized(ArrowReader.java:172)
      at org.apache.arrow.vector.ipc.ArrowReader.getVectorSchemaRoot(ArrowReader.java:65)
      at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:162)
      at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:122)
      at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
      at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
      at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
      at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
      at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255)
      at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
      at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:858)
      at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:858)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
      at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
      at org.apache.spark.scheduler.Task.run(Task.scala:123)
      at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
      at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
      at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
      at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
      at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
      at java.lang.Thread.run(Thread.java:748)
  
  Driver stacktrace:
      at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1891)
      at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1879)
      at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1878)
      at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
      at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
      at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1878)
      at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:927)
      at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:927)
      at scala.Option.foreach(Option.scala:257)
      at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:927)
      at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2112)
      at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2061)
      at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2050)
      at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
      at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:738)
      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.SparkContext.runJob(SparkContext.scala:2126)
      at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:990)
      at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
      at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
      at org.apache.spark.rdd.RDD.withScope(RDD.scala:385)
      at org.apache.spark.rdd.RDD.collect(RDD.scala:989)
      at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:299)
      at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:3263)
      at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:3260)
      at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
      at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
      at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
      at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
      at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3369)
      at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:3260)
      at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
      at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
      at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
      at java.lang.reflect.Method.invoke(Method.java:498)
      at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
      at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
      at py4j.Gateway.invoke(Gateway.java:282)
      at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
      at py4j.commands.CallCommand.execute(CallCommand.java:79)
      at py4j.GatewayConnection.run(GatewayConnection.java:238)
      at java.lang.Thread.run(Thread.java:748)
  Caused by: java.lang.IllegalArgumentException
      at java.nio.ByteBuffer.allocate(ByteBuffer.java:334)
      at org.apache.arrow.vector.ipc.message.MessageSerializer.readMessage(MessageSerializer.java:543)
      at org.apache.arrow.vector.ipc.message.MessageChannelReader.readNext(MessageChannelReader.java:58)
      at org.apache.arrow.vector.ipc.ArrowStreamReader.readSchema(ArrowStreamReader.java:132)
      at org.apache.arrow.vector.ipc.ArrowReader.initialize(ArrowReader.java:181)
      at org.apache.arrow.vector.ipc.ArrowReader.ensureInitialized(ArrowReader.java:172)
      at org.apache.arrow.vector.ipc.ArrowReader.getVectorSchemaRoot(ArrowReader.java:65)
      at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:162)
      at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:122)
      at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
      at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
      at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
      at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
      at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255)
      at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
      at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:858)
      at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:858)
      at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
      at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
      at org.apache.spark.scheduler.Task.run(Task.scala:123)
      at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
      at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
      at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
      at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
      at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
      ... 1 more
  
  
  
  </code></pre>