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Serializableon everything if there's any sort of viable alternative ... what are the options for Spark?
Serializableis convenient and will interop with java libs well, but smells a bit.
Comonad[OneAnd[?, F]]instance appears wrong
OneAnd-- the definition of
coflatMapjust drops the
.tailon the floor, which is definitely wrong.)
fon all the tails
Comonad[F]in this case
Comonad[OneAnd[...]]instance for now. it's impossible to correctly implement unless you have a way of turning
F[A] => Either[A, (A, F[A])]
Nel, just not the generalization.)
@SerialVersionUIDin Algebra ... intentional?
org.apache.spark.serializer.SerializerInstanceseems to serve a different purpose.. https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/serializer/Serializer.scala
SerializerInstancestuff to get around
Serializableissues with types that don't
spark.serializerlets you specify an alternative Serializer, seems like we could do a type class-y approach. i also maybe smell some scodec. can you confirm @benhutchison
RDD#mapis serializable.. bah