Github user dongjoon-hyun commented on a diff in the pull request:
    --- Diff: 
    @@ -160,6 +160,16 @@ abstract class OrcSuite extends OrcTest with 
BeforeAndAfterAll {
    +  // This is a test case for ORC-285
    --- End diff --
    Thank you, @omalley . Yes. It is. There is one difference in Spark.
    Currently, Spark uses the vectorized reader for simple schema only. For 
`array<float>` or `array<double>` columns, we use ORC MR reader. However, MR 
reader uses vectorized RowBatch internally and it fails here.


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