Kousuke Saruta created SPARK-35998:
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Summary: Make from_csv/to_csv to handle year-month intervals
properly
Key: SPARK-35998
URL: https://issues.apache.org/jira/browse/SPARK-35998
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 year-month interval types are given.
{code}
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)
{code}
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.
{code}
spark-sql> select to_csv(named_struct("a", interval '1-2' year to month));
14
{code}
The result above should be INTERVAL '1-2' YEAR TO MONTH.
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