Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/18266#discussion_r137717728
--- Diff: docs/sql-programming-guide.md ---
@@ -1334,7 +1334,14 @@ the following case-insensitive options:
<td>
The database column data types to use instead of the defaults, when
creating the table. Data type information should be specified in the same
format as CREATE TABLE columns syntax (e.g: <code>"name CHAR(64), comments
VARCHAR(1024)")</code>. The specified types should be valid spark sql data
types. This option applies only to writing.
</td>
- </tr>
+ </tr>
+
+ <tr>
+ <td><code>customDataFrameColumnTypes</code></td>
+ <td>
+ The DataFrame column data types to use instead of the defaults when
reading data from jdbc API. (e.g: <code>"id DECIMAL(38, 0), name
STRING")</code>. The specified types should be valid spark sql data types. This
option applies only to reading.
--- End diff --
This is not limited to DataFrame.
> The customized column types to use for reading data from JDBC connectors.
For example, <code>"id DECIMAL(38, 0), name STRING")</code>. The specified
types should be valid spark sql data types. This option applies only to reading.
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