cloud-fan commented on code in PR #37327:
URL: https://github.com/apache/spark/pull/37327#discussion_r934149205
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docs/sql-data-sources-csv.md:
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@@ -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 that contain dates or timestamps 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 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:
`contain dates or timestamps` reads a bit confusing. How about just `...
infer string columns as Date ...`
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