cloud-fan commented on a change in pull request #28264:
URL: https://github.com/apache/spark/pull/28264#discussion_r413589592
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File path: docs/sql-ref-datatypes.md
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@@ -706,3 +708,62 @@ 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```: 1.0f / 0.0f, which is equal to the value returned by
<code>java.lang.Float.intBitsToFloat(0x7f800000)</code>.
+ * ```DoubleType```: 1.0 / 0.0, which is equal to the value returned by
<code>java.lang.Double.longBitsToDouble(0x7ff0000000000000L)</code>.
+ * -Inf/-Infinity: negative infinity
+ * ```FloatType```: -1.0f / 0.0f, which is equal to the value returned by
<code>java.lang.Float.intBitsToFloat(0xff800000)</code>.
Review comment:
Spark doesn't support the `f` suffix. Can we say something more useful?
like: "Positive infinity multiples any positive value returns positive
infinity. Positive infinity multiples any negative value returns negative
infinity. Positive infinity multiples 0 returns NaN."
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