Github user dongjoon-hyun commented on a diff in the pull request:
    --- Diff: docs/ ---
    @@ -1776,6 +1776,66 @@ working with timestamps in `pandas_udf`s to get the 
best performance, see
     ## Upgrading From Spark SQL 2.2 to 2.3
    +  - Since Spark 2.3, Spark supports a vectorized ORC reader with a new ORC 
file format for ORC files and Hive ORC tables. To do that, the following 
configurations are newly added or change their default values.
    --- End diff --
    Yep. Now, we have two tables.


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