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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/07/05 06:14:00 UTC
[jira] [Assigned] (SPARK-35998) Make from_csv/to_csv to handle
year-month intervals properly
[ https://issues.apache.org/jira/browse/SPARK-35998?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-35998:
------------------------------------
Assignee: Apache Spark (was: Kousuke Saruta)
> 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: Apache Spark
> Priority: Major
>
> 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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