cloud-fan commented on a change in pull request #28264:
URL: https://github.com/apache/spark/pull/28264#discussion_r414363495
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File path: docs/sql-ref-datatypes.md
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@@ -706,3 +708,67 @@ The following table shows the type names as well as
aliases used in Spark SQL pa
</table>
</div>
</div>
+
+### Floating Point Special Values
+
+Spark SQL supports several special floating point values in a case-insensitive
manner:
+
+ * Inf/+Inf/Infinity/+Infinity: positive infinity
+ * ```FloatType```: equivalent to Scala <code>Float.PositiveInfinity</code>.
+ * ```DoubleType```: equivalent to Scala
<code>Double.PositiveInfinity</code>.
+ * -Inf/-Infinity: negative infinity
+ * ```FloatType```: equivalent to Scala <code>Float.NegativeInfinity</code>.
+ * ```DoubleType```: equivalent to Scala
<code>Double.NegativeInfinity</code>.
+ * NaN: not a number
+ * ```FloatType```: equivalent to Scala <code>Float.NaN</code>.
+ * ```DoubleType```: equivalent to Scala <code>Double.NaN</code>.
+
+#### Examples
Review comment:
can we put the example section at the end? then we can also put examples
about the behaviors like `SELECT double('infinity') * 0`
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