sarutak opened a new pull request #33226:
URL: https://github.com/apache/spark/pull/33226
### What changes were proposed in this pull request?
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This PR fixes an issue that `from_csv/to_csv` doesn't handle day-time
intervals properly.
`from_csv` throws exception if day-time interval types are given.
```
spark-sql> select from_csv("interval '1 2:3:4' day to second", "a interval
day to second");
21/07/03 04:39:13 ERROR SparkSQLDriver: Failed in [select from_csv("interval
'1 2:3:4' day to second", "a interval day to second")]
java.lang.Exception: Unsupported type: interval day to second
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 day-time interval types properly though any
exception is thrown.
The result of `to_csv` for day-time interval types is not ANSI interval
compliant form.
```
spark-sql> select to_csv(named_struct("a", interval '1 2:3:4' day to
second));
93784000000
```
The result above should be `INTERVAL '1 02:03:04' DAY TO SECOND`.
### Why are the changes needed?
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Bug fix.
### Does this PR introduce _any_ user-facing change?
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No.
### How was this patch tested?
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New tests.
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