zhengruifeng opened a new pull request, #40582:
URL: https://github.com/apache/spark/pull/40582
### What changes were proposed in this pull request?
Add `YearMonthIntervalType` to PySpark and Spark Connect Python Client
### Why are the changes needed?
function parity
**Note**
the added `YearMonthIntervalType` is not support in
`collect`/`createDataFrame`, since I don't find a python built-in type for
`YearMonthIntervalType` (like `datetime.timedelta` for `DayTimeIntervalType`),
we need further discussion.
### Does this PR introduce _any_ user-facing change?
yes, new data type in python
before this PR
```
In [1]: spark.sql("SELECT INTERVAL '10-8' YEAR TO MONTH AS interval")
Out[1]:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
File ~/Dev/spark/python/pyspark/sql/dataframe.py:570, in
DataFrame.schema(self)
568 try:
569 self._schema = cast(
--> 570 StructType,
_parse_datatype_json_string(self._jdf.schema().json())
571 )
572 except Exception as e:
...
ValueError: Unable to parse datatype from schema. Could not parse datatype:
interval year to month
```
after this PR
```
In [3]: spark.sql("SELECT INTERVAL '10-8' YEAR TO MONTH AS interval")
Out[3]: DataFrame[interval: interval year to month]
```
### How was this patch tested?
added UT
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