### What changes were proposed in this pull request?
This PR fixes error message shown when changing a column type to year-month/day-time interval type is attempted.
### Why are the changes needed?
It's for consistent behavior.
Updating column types to interval types are prohibited for V2 source tables.
So, if we attempt to update the type of a column to the conventional interval type, an error message like `Error in query: Cannot update <table> field <column> to interval type;`.
But, for year-month/day-time interval types, another error message like `Error in query: Cannot update <table> field <column>:<type> cannot be cast to interval year;`.
You can reproduce with the following procedure.
```
$ bin/spark-sql
spark-sql> SET spark.sql.catalog.mycatalog=<a catalog implementation class>;
spark-sql> CREATE TABLE mycatalog.t1(c1 int) USING <V2 datasource implementation class>;
spark-sql> ALTER TABLE mycatalog.t1 ALTER COLUMN c1 TYPE interval year to month;
```
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Modified an existing test.
Closes#32978 from sarutak/err-msg-interval.
Authored-by: Kousuke Saruta <sarutak@oss.nttdata.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
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