Gengliang Wang created SPARK-38176:
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Summary: ANSI mode: allow implicitly casting String to other
simple types
Key: SPARK-38176
URL: https://issues.apache.org/jira/browse/SPARK-38176
Project: Spark
Issue Type: Sub-task
Components: SQL
Affects Versions: 3.3.0
Reporter: Gengliang Wang
Assignee: Gengliang Wang
Compared to the default behavior, the current ANSI type coercion rules don't
allow the following cases:
* comparing String with other simple types, e.g. date/timestamp/int ...
* arithmetic op with String and other simple types
* Union/Intersect/Except with String and other simple types
* SQL function expects non-string types but got string input
* other SQL operators..
The original purpose is to prevent potential String parsing errors under ANSI
mode. However, after doing research among real-world Spark SQL queries, I find
that many users are actually using String as Date/Timestamp/Numeric in their
queries.
To make the migration to ANSI mode easier, I suggest removing this limitation.
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