Github user dongjoon-hyun commented on a diff in the pull request:

    https://github.com/apache/spark/pull/20484#discussion_r165584080
  
    --- Diff: docs/sql-programming-guide.md ---
    @@ -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.
    +
    +    <table class="table">
    +      <tr>
    +        <th>
    +          <b>Property Name</b>
    +        </th>
    +        <th>
    +          <b>Default</b>
    +        </th>
    +        <th>
    +          <b>Meaning</b>
    +        </th>
    +      </tr>
    +      <tr>
    +        <td>
    +          <code>spark.sql.orc.impl</code>
    +        </td>
    +        <td>
    +          <code>native</code>
    +        </td>
    +        <td>
    +          The name of ORC implementation: <code>native</code> means the 
native ORC support that is built on Apache ORC 1.4.1 instead of the ORC library 
in Hive 1.2.1. It is <code>hive</code> by default prior to Spark 2.3.
    --- End diff --
    
    It's also updated.


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