Jonathancui123 commented on code in PR #37327:
URL: https://github.com/apache/spark/pull/37327#discussion_r936135010
##########
docs/sql-data-sources-csv.md:
##########
@@ -109,9 +109,9 @@ Data source options of CSV can be set via:
<td>read</td>
</tr>
<tr>
- <td><code>inferDate</code></td>
+ <td><code>prefersDate</code></td>
<td>false</td>
- <td>Whether or not to infer columns that satisfy the
<code>dateFormat</code> option as <code>Date</code>. Requires
<code>inferSchema</code> to be <code>true</code>. When <code>false</code>,
columns with dates will be inferred as <code>String</code> (or as
<code>Timestamp</code> if it fits the <code>timestampFormat</code>).</td>
+ <td>Attempts to infer string columns as <code>Date</code> if the values
satisfy <code>dateFormat</code> option and failed to be parsed by the
respective formatter during schema inference (<code>inferSchema</code>). When
used in conjunction with a user-provided schema, attempts to parse timestamp
columns as dates using <code>dateFormat</code> if they fail to conform to
<code>timestampFormat</code>, the parsed values will be cast to timestamp type
afterwards.</td>
Review Comment:
I see, that makes sense. In my opinion, it is more confusing for the reader.
But LGTM
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
