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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/07/06 06:29:00 UTC
[jira] [Assigned] (SPARK-35999) Make from_csv/to_csv to handle
day-time intervals properly
[ https://issues.apache.org/jira/browse/SPARK-35999?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-35999:
------------------------------------
Assignee: Apache Spark (was: Kousuke Saruta)
> 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: Apache Spark
> Priority: Major
>
> 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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