Peng-Lei commented on a change in pull request #33518:
URL: https://github.com/apache/spark/pull/33518#discussion_r677048103
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File path: docs/sql-ref-datatypes.md
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@@ -49,6 +49,33 @@ Spark SQL and DataFrames support the following data types:
absolute point in time.
- `DateType`: Represents values comprising values of fields year, month and
day, without a
time-zone.
+* Interval types
Review comment:
nit: Can we add a description: "individual interval fields are
non-negative but interval itself can have a sign, and be negative."?
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