Yang Jie created SPARK-38123: -------------------------------- Summary: Use `DataType.catalogString` uniformly as `targetType` of `QueryExecutionErrors#castingCauseOverflowError` Key: SPARK-38123 URL: https://issues.apache.org/jira/browse/SPARK-38123 Project: Spark Issue Type: Improvement Components: SQL Affects Versions: 3.3.0 Reporter: Yang Jie
SPARK-33541 introduces `QueryExecutionErrors#castingCauseOverflowError` and there are 2 ways to input parameter `targetType` in spark: * Use `DataType.catalogString` as `targetType`, such as use in `Cast.scala` and `IntervalUtils.scala` * Use custom literal such as `short`,`int` and `long` in `Decimal.scala` and `numberics.scala` And we can use `DataType.catalogString` uniformly -- This message was sent by Atlassian Jira (v8.20.1#820001) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org