Github user viirya commented on a diff in the pull request:
    --- Diff: 
sql/hive/src/main/scala/org/apache/spark/sql/hive/orc/OrcFileFormat.scala ---
    @@ -118,6 +120,11 @@ class OrcFileFormat extends FileFormat with 
DataSourceRegister with Serializable
         val broadcastedHadoopConf =
    +    val enableVectorizedReader: Boolean =
    +      sparkSession.sessionState.conf.orcVectorizedReaderEnabled &&
    +      dataSchema.forall(f => f.dataType.isInstanceOf[AtomicType] &&
    --- End diff --
    This is similar with ParquetFileFormat does. We might not add new 
`AtomicType` frequently and current `AtomicType` should be relatively stable. 
If we do, it should be easily tested out the data type is not supported in 
reader codes.

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