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For now, this only adds MarshalSerializer, but it lays the groundwork
for other supporting custom serializers. Many of these mechanisms
can also be used to support deserialization of different data formats
sent by Java, such as data encoded by MsgPack.
This also fixes a bug in SparkContext.union().
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Add a regular method for adding a term to accumulators in
pyspark. Currently if you have a non-global accumulator, adding to it
is awkward. The += operator can't be used for non-global accumulators
captured via closure because it's involves an assignment. The only way
to do it is using __iadd__ directly.
Adding this method lets you write code like this:
def main():
sc = SparkContext()
accum = sc.accumulator(0)
rdd = sc.parallelize([1,2,3])
def f(x):
accum.add(x)
rdd.foreach(f)
print accum.value
where using accum += x instead would have caused UnboundLocalError
exceptions in workers. Currently it would have to be written as
accum.__iadd__(x).
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cloudpickle runs into issues while pickling subclasses of AccumulatorParam,
which may be related to this Python issue:
http://bugs.python.org/issue7689
This seems hard to fix and the ABCMeta wasn't necessary, so I removed it.
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