544b7e16ac
### What changes were proposed in this pull request?
This PR fixes an issue that `from_csv/to_csv` doesn't handle year-month intervals properly.
`from_csv` throws exception if year-month interval types are given.
```
spark-sql> select from_csv("interval '1-2' year to month", "a interval year to month");
21/07/03 04:32:24 ERROR SparkSQLDriver: Failed in [select from_csv("interval '1-2' year to month", "a interval year to month")]
java.lang.Exception: Unsupported type: interval year to month
at org.apache.spark.sql.errors.QueryExecutionErrors$.unsupportedTypeError(QueryExecutionErrors.scala:775)
at org.apache.spark.sql.catalyst.csv.UnivocityParser.makeConverter(UnivocityParser.scala:224)
at org.apache.spark.sql.catalyst.csv.UnivocityParser.$anonfun$valueConverters$1(UnivocityParser.scala:134)
```
Also, `to_csv` doesn't handle year-month interval types properly though any exception is thrown.
The result of `to_csv` for year-month interval types is not ANSI interval compliant form.
```
spark-sql> select to_csv(named_struct("a", interval '1-2' year to month));
14
```
The result above should be `INTERVAL '1-2' YEAR TO MONTH`.
### Why are the changes needed?
Bug fix.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
New tests.
Closes #33210 from sarutak/csv-yminterval.
Authored-by: Kousuke Saruta <sarutak@oss.nttdata.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit
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