Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/7398#discussion_r34765649
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/types/AbstractDataType.scala
---
@@ -114,6 +114,15 @@ private[sql] object TypeCollection {
BooleanType,
ByteType, ShortType, IntegerType, LongType)
+ /**
+ * Types that include numeric types and interval type. They are only
used in unary_minus,
+ * unary_positive, add and subtract operations.
+ */
+ val NumericAndInterval = TypeCollection(
+ ByteType, ShortType, IntegerType, LongType,
+ FloatType, DoubleType, DecimalType,
+ IntervalType)
--- End diff --
OK. Another problem that might be minor is that the casting error message
will become `argument 1 is expected to be of type (numeric or interval)`,
instead of `...type (tinyint or smallint or int or bigint or float or double or
decimal or interval...`.
Is it still informative?
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