zhengruifeng opened a new pull request, #42736:
URL: https://github.com/apache/spark/pull/42736
### What changes were proposed in this pull request?
Add `CalendarIntervalType` to PySpark
### Why are the changes needed?
in scala:
```
scala> spark.sql("SELECT make_interval(100, 11, 1, 1, 12, 30,
01.001001)").schema
res2: org.apache.spark.sql.types.StructType =
StructType(StructField(make_interval(100, 11, 1, 1, 12, 30,
1.001001),CalendarIntervalType,true))
```
in python:
```
In [1]: spark.sql("SELECT make_interval(100, 11, 1, 1, 12, 30,
01.001001)").schema
...
AssertionError: Undefined error message parameter for error class:
CANNOT_PARSE_DATATYPE. Parameters: {'error': "Undefined error message parameter
for error class: CANNOT_PARSE_DATATYPE. Parameters: {'error': 'interval'}"}
```
### Does this PR introduce _any_ user-facing change?
yes
after this PR:
```
In [1]: spark.sql("SELECT make_interval(100, 11, 1, 1, 12, 30,
01.001001)").schema
Out[1]: StructType([StructField('make_interval(100, 11, 1, 1, 12, 30,
1.001001)', CalendarIntervalType(), True)])
```
### How was this patch tested?
added UT
### Was this patch authored or co-authored using generative AI tooling?
NO
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