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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