The Difference Using Java and Hadoop Types in Hive UDF -

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when writing simple hive udf, possible use both standard java , hadoop types in evaluate() method. example, following methods should return same results.

using string input , output types:

public string evaluate(string input) {   if(input == null) return null;   return input.touppercase(); }

using text input , output types:

public text evaluate(text input) {   if(input == null) return null;   return new text(input.tostring().touppercase()); }

my question benefits of using 1 vs other? if use standard java input , output types (like string) hadoop converting these objects hadoop types me?


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