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Fabian Hueske commented on FLINK-7358: -------------------------------------- Thanks [~sunjincheng121]. Sounds good to me. We should make sure that we have the same auto-cast semantics as SQL via Calcite. > Add implicitly converts support for User-defined function > ---------------------------------------------------------- > > Key: FLINK-7358 > URL: https://issues.apache.org/jira/browse/FLINK-7358 > Project: Flink > Issue Type: Improvement > Components: Table API & SQL > Reporter: sunjincheng > Assignee: sunjincheng > > Currently if user defined a UDF as follows: > {code} > object Func extends ScalarFunction { > def eval(a: Int, b: Long): String = { > ... > } > } > {code} > And if the table schema is (a: Int, b: int, c: String), then we can not call > the UDF `Func('a, 'b)`. So > I want add implicitly converts when we call UDF. The implicitly convert rule > is: > BYTE_TYPE_INFO -> SHORT_TYPE_INFO -> INT_TYPE_INFO -> LONG_TYPE_INFO -> > FLOAT_TYPE_INFO -> DOUBLE_TYPE_INFO > *Note: > In this JIRA. only for TableAPI, And SQL will be fixed in > https://issues.apache.org/jira/browse/CALCITE-1908.* > What do you think? [~fhueske] -- This message was sent by Atlassian JIRA (v6.4.14#64029)