### What changes were proposed in this pull request?
This PR fixes two issues. One is that `to_json` doesn't support `map` types where value types are `day-time` interval types like:
```
spark-sql> select to_json(map('a', interval '1 2:3:4' day to second));
21/07/06 14:53:58 ERROR SparkSQLDriver: Failed in [select to_json(map('a', interval '1 2:3:4' day to second))]
java.lang.RuntimeException: Failed to convert value 93784000000 (class of class java.lang.Long) with the type of DayTimeIntervalType(0,3) to JSON.
```
The other issue is that even if the issue of `to_json` is resolved, `from_json` doesn't support to convert `day-time` interval string to JSON. So the result of following query will be `null`.
```
spark-sql> select from_json(to_json(map('a', interval '1 2:3:4' day to second)), 'a interval day to second');
{"a":null}
```
### Why are the changes needed?
There should be no reason why day-time intervals cannot used as map value types.
`CalendarIntervalTypes` can do it.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
New tests.
Closes#33225 from sarutak/json-dtinterval.
Authored-by: Kousuke Saruta <sarutak@oss.nttdata.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit c8ff613c3c)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
634b2e265c