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we should be able to deserialize values of this type from rows, and serialize literal values into spark columns.
Current Behavior (if so)
We can serialize/deserialize complex types which contains custom types: e.g. in arrays, seqs, maps and options. However, we can only deserialize case classes (like the previous Employee) that contains custom types.
The missing feature is properly creating literal columns for Employee-like values.
The text was updated successfully, but these errors were encountered:
Expected Behavior
Given a custom
User
type:and a product type which contains the
User
type:we should be able to deserialize values of this type from rows, and serialize literal values into spark columns.
Current Behavior (if so)
We can serialize/deserialize complex types which contains custom types: e.g. in arrays, seqs, maps and options. However, we can only deserialize case classes (like the previous
Employee
) that contains custom types.The missing feature is properly creating literal columns for
Employee
-like values.The text was updated successfully, but these errors were encountered: