Github user wgtmac commented on the issue:

    https://github.com/apache/spark/pull/15035
  
    Just confirmed that this also doesn't work with vectorized reader. What I 
did is as follows:
    
    1. Created a flat hive table with schema "name: String, id: Long". But the 
parquet file which contains 100 rows is using "name: String, id: Int".
    2. Then just did a query "select * from table" and show the result. It 
works fine with DataFrame.count and DataFrame .printSchema()
    
    Got the following exception:
    
    ```
    Driver stacktrace:
      at 
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1450)
      at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1438)
      at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1437)
      at 
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
      at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
      at 
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1437)
      at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
      at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
      at scala.Option.foreach(Option.scala:257)
      at 
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811)
      at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659)
      at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618)
      at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607)
      at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
      at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:1871)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:1884)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:1897)
      at 
org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:347)
      at 
org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:39)
      at 
org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2183)
      at 
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
      at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2532)
      at 
org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2182)
      at 
org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2189)
      at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1925)
      at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1924)
      at org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2562)
      at org.apache.spark.sql.Dataset.head(Dataset.scala:1924)
      at org.apache.spark.sql.Dataset.take(Dataset.scala:2139)
      at org.apache.spark.sql.Dataset.showString(Dataset.scala:239)
      at org.apache.spark.sql.Dataset.show(Dataset.scala:526)
      at org.apache.spark.sql.Dataset.show(Dataset.scala:486)
      at org.apache.spark.sql.Dataset.show(Dataset.scala:495)
      ... 48 elided
    Caused by: java.lang.NullPointerException
      at 
org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.getLong(OnHeapColumnVector.java:272)
      at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
 Source)
      at 
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
      at 
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
      at 
org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246)
      at 
org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240)
      at 
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784)
      at 
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784)
      at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
      at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
      at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
      at org.apache.spark.scheduler.Task.run(Task.scala:85)
      at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
      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)
    ```


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