[jira] [Created] (SPARK-35999) Make from_csv/to_csv to handle day-time intervals properly

["Kousuke Saruta (Jira)" <ji...@apache.org>]

Kousuke Saruta created SPARK-35999:
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             Summary: Make from_csv/to_csv to handle day-time intervals properly
                 Key: SPARK-35999
                 URL: https://issues.apache.org/jira/browse/SPARK-35999
             Project: Spark
          Issue Type: Sub-task
          Components: SQL
    Affects Versions: 3.2.0, 3.3.0
            Reporter: Kousuke Saruta
            Assignee: Kousuke Saruta


from_csv throws exception if day-time interval types are given.

{code}
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)
 {code}

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.

{code}
spark-sql> select to_csv(named_struct("a", interval '1 2:3:4' day to second));
93784000000
{code}

The result above should be INTERVAL '1 02:03:04' DAY TO SECOND.



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