Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/4945#issuecomment-94008753
@adrian-wang @marmbrus Sorry for the late reply. Yeah, the MySQL way also
seems reasonable to me.
In both Spark SQL and MySQL, `IN` is treated more like an operator, which
has its own reasonable type coercion rules. However, in Hive, `IN` is defined
as a UDF, which follows general UDF argument type coercion rules, but those
rules doesn't make sense here.
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