zhengruifeng commented on code in PR #42743:
URL: https://github.com/apache/spark/pull/42743#discussion_r1311046624
##########
python/pyspark/sql/tests/connect/test_parity_types.py:
##########
@@ -86,7 +86,7 @@ def test_rdd_with_udt(self):
def test_udt(self):
super().test_udt()
- @unittest.skip("SPARK-45018: should support CalendarIntervalType")
+ @unittest.skip("SPARK-45026: spark.sql should support datatypes not
compatible with arrow")
Review Comment:
```
spark.sql("SELECT make_interval(100, 11, 1, 1, 12, 30, 01.001001)")
...
pyspark.errors.exceptions.connect.UnsupportedOperationException:
[UNSUPPORTED_DATATYPE] Unsupported data type "INTERVAL".
```
`spark.sql("SELECT make_interval(100, 11, 1, 1, 12, 30, 01.001001)")` won't
work in python client, not because of the newly added `CalendarIntervalType`
itself, but because the `spark.sql` internally creates arrow batch while
`CalendarIntervalType` is [not arrow-compatible
now](https://github.com/apache/spark/blob/3dcee0ccf7e02acd162da652450b85d34dc4e297/sql/api/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala#L62-L63).
here needs further investigation, so I create a new ticket for it.
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