Hi Sachith,
Yes, that's possible, you just need to implement
https://hive.apache.org/javadocs/r0.10.0/api/org/apache/hadoop/hive/ql/udf/generic/GenericUDF.html
Note the class documentation:
"A Generic User-defined function (GenericUDF) for the use with Hive.
New GenericUDF classes need to inherit from this GenericUDF class. The
GenericUDF are superior to normal UDFs in the following ways: 1. It
can accept arguments of complex types, and return complex types. 2. It
can accept variable length of arguments. 3. It can accept an infinite
number of function signature - for example, it's easy to write a
GenericUDF that accepts array, array> and so on (arbitrary levels of
nesting). 4. It can do short-circuit evaluations using DeferedObject."
PS I think this question may have been more suited to the "Spark
Users" mailing list
Cheers,
Joe
On 30 July 2015 at 11:00, Sachith Withana wrote:
> Hi all,
>
> Does spark support UDF Method overloading?
>
> ex: I want to have an UDF with varying number of arguments
>
> multiply(a,b)
> multiply(a,b,c)
>
> Any suggestions?
>
> --
> Thanks,
> Sachith Withana
>
--
Best regards,
Joe
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