VectorFileSinkArrowOperator does not serialize complex types correctly

Previous exception in task: Unsupported data type: Null
	org.apache.spark.sql.execution.arrow.ArrowUtils$.fromArrowType(ArrowUtils.scala:71)
	org.apache.spark.sql.execution.arrow.ArrowUtils$.fromArrowField(ArrowUtils.scala:106)
	org.apache.spark.sql.execution.arrow.ArrowUtils$.fromArrowField(ArrowUtils.scala:98)
	org.apache.spark.sql.execution.arrow.ArrowUtils.fromArrowField(ArrowUtils.scala)
	org.apache.spark.sql.vectorized.ArrowColumnVector.<init>(ArrowColumnVector.java:135)
	com.hortonworks.spark.sql.hive.llap.HiveWarehouseDataReader.get(HiveWarehouseDataReader.java:105)
	com.hortonworks.spark.sql.hive.llap.HiveWarehouseDataReader.get(HiveWarehouseDataReader.java:29)
	org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.next(DataSourceRDD.scala:59)
	org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:40)
	org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.datasourcev2scan_nextBatch_0$(Unknown Source)
	org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
	org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
	org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:253)
	org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
	org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:836)
	org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:836)
	org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49)
	org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
	org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
	org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49)
	org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
	org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
	org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
	org.apache.spark.scheduler.Task.run(Task.scala:109)
	org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
	java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	java.lang.Thread.run(Thread.java:745)
	at org.apache.spark.TaskContextImpl.invokeListeners(TaskContextImpl.scala:139)
	at org.apache.spark.TaskContextImpl.markTaskCompleted(TaskContextImpl.scala:117)
	at org.apache.spark.scheduler.Task.run(Task.scala:119)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)