nchammas commented on a change in pull request #29935:
URL: https://github.com/apache/spark/pull/29935#discussion_r562180659
##########
File path: python/pyspark/sql/types.py
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@@ -186,6 +186,30 @@ def fromInternal(self, ts):
return datetime.datetime.fromtimestamp(ts //
1000000).replace(microsecond=ts % 1000000)
+class CalendarIntervalType(DataType, metaclass=DataTypeSingleton):
Review comment:
Doesn't @zero323's example from the PR description show that Spark
already exposes this type?
```python
spark.sql("SELECT current_date() - current_date()")
```
For the record, btw, Postgres supports [an `interval`
type](https://www.postgresql.org/docs/current/datatype-datetime.html) and done
so since at least [version
7.1](https://www.postgresql.org/docs/7.1/datatype-datetime.html), which was
released in 2001. (I mention this since Postgres often comes up as a reference
for whether Spark SQL should support a feature or not.)
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