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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