Hi Yuxia and Shammon,
Thanks for your reply.
The requirements is dynamic in my case. If I move the logic into udf, it's not
flexiable.
For example, there's one users column in my talbe whose type is Rowhttps://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/functions/udfs/#type-i
Hi YuXia,
Thanks for your advice.
By adding the hint, the type validation can pass.
But still I can't pass the function to this udf
Here is my query
select array_transform(ids, id -> id +1) from tmp_table
The lambda function id -> id +1 can't be passed because "->"
is not supported in cal
