title: how to enable Apache Arrow in Pyspark
body: <p>I am trying to enable Apache Arrow for conversion to Pandas. I am using:</p>
  
  <p>pyspark 2.4.4
  pyarrow 0.15.0
  pandas 0.25.1
  numpy 1.17.2</p>
  
  <p>This is the example code</p>
  
  <pre class="lang-py prettyprint-override"><code>spark.conf.set("spark.sql.execution.arrow.enabled", "true")
  x = pd.Series([1, 2, 3])
  df = spark.createDataFrame(pd.DataFrame(x, columns=["x"]))
  </code></pre>
  
  <p>I got this warning message</p>
  
  <pre class="lang-py prettyprint-override"><code>c:\users\administrator\appdata\local\programs\python\python37\lib\site-packages\pyspark\sql\session.py:714: UserWarning: createDataFrame attempted Arrow optimization because 'spark.sql.execution.arrow.enabled' is set to true; however, failed by the reason below:
    An error occurred while calling z:org.apache.spark.sql.api.python.PythonSQLUtils.readArrowStreamFromFile.
  : 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.spark.sql.execution.arrow.ArrowConverters$$anon$3.readNextBatch(ArrowConverters.scala:243)
      at org.apache.spark.sql.execution.arrow.ArrowConverters$$anon$3.&lt;init&gt;(ArrowConverters.scala:229)
      at org.apache.spark.sql.execution.arrow.ArrowConverters$.getBatchesFromStream(ArrowConverters.scala:228)
      at org.apache.spark.sql.execution.arrow.ArrowConverters$$anonfun$readArrowStreamFromFile$2.apply(ArrowConverters.scala:216)
      at org.apache.spark.sql.execution.arrow.ArrowConverters$$anonfun$readArrowStreamFromFile$2.apply(ArrowConverters.scala:214)
      at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2543)
      at org.apache.spark.sql.execution.arrow.ArrowConverters$.readArrowStreamFromFile(ArrowConverters.scala:214)
      at org.apache.spark.sql.api.python.PythonSQLUtils$.readArrowStreamFromFile(PythonSQLUtils.scala:46)
      at org.apache.spark.sql.api.python.PythonSQLUtils.readArrowStreamFromFile(PythonSQLUtils.scala)
      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)
  
  Attempting non-optimization as 'spark.sql.execution.arrow.fallback.enabled' is set to true.
    warnings.warn(msg)
  </code></pre>