If the purpose is only aliasing, rather than adding additional methods and
avoiding runtime allocation, what about type aliases?
type ID = String
type Name = String
On Sat, Apr 19, 2014 at 9:26 PM, kamatsuoka <ken...@gmail.com> wrote:
> No, you can wrap other types in value classes as well. You can try it in
> the REPL:
>
> scala> case class ID(val id: String) extends AnyVal
> defined class ID
> scala> val i = ID("foo")
> i: ID = ID(foo)
>
>
> On Fri, Apr 18, 2014 at 4:14 PM, Koert Kuipers [via Apache Spark User
> List] <[hidden email]
> <http://user/SendEmail.jtp?type=node&node=4494&i=0>>wrote:
>
>> isn't valueclasses for primitives (AnyVal) only? that doesn't apply to
>> string, which is an object (AnyRef)
>>
>>
>> On Fri, Apr 18, 2014 at 2:51 PM, kamatsuoka <[hidden
>> email]<http://user/SendEmail.jtp?type=node&node=4475&i=0>
>> > wrote:
>>
>>> I'm wondering if anyone has tried using value classes in RDDs? My use
>>> case
>>> is that I have a number of RDDs containing strings, e.g.
>>>
>>> val r1: RDD[(String, (String, Int)] = ...
>>> val r2: RDD[(String, (String, Int)] = ...
>>>
>>> and it might be clearer if I wrote
>>>
>>> case class ID(val id: String) extends AnyVal
>>> case class Name(val id: String) extends AnyVal
>>> val r1: RDD[(ID, (Name, Int)] = ...
>>> val r2: RDD[(Name, (ID, Int)] = ...
>>>
>>> This seems like a pretty typical use case for value classes, but I
>>> haven't
>>> noticed anyone talking about it. Although, I think you'd have to read
>>> through all of the Spark code paths to know whether allocation is
>>> required
>>> (http://docs.scala-lang.org/overviews/core/value-classes.html), so some
>>> comparative performance testing would be called for.
>>>
>>>
>>>
>>> --
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>>>
>>
>>
>>
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>
>
>
> --
> Kenji
>
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