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Posted to issues@spark.apache.org by "Yang Jie (Jira)" <ji...@apache.org> on 2022/02/07 05:40:00 UTC

[jira] [Created] (SPARK-38123) Use `DataType.catalogString` uniformly as `targetType` of `QueryExecutionErrors#castingCauseOverflowError`

Yang Jie created SPARK-38123:
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             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

 

 



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