49 lines
1.2 KiB
Python
49 lines
1.2 KiB
Python
"""
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>>> from pyspark.context import SparkContext
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>>> sc = SparkContext('local', 'test')
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>>> b = sc.broadcast([1, 2, 3, 4, 5])
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>>> b.value
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[1, 2, 3, 4, 5]
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>>> from pyspark.broadcast import _broadcastRegistry
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>>> _broadcastRegistry[b.bid] = b
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>>> from cPickle import dumps, loads
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>>> loads(dumps(b)).value
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[1, 2, 3, 4, 5]
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>>> sc.parallelize([0, 0]).flatMap(lambda x: b.value).collect()
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[1, 2, 3, 4, 5, 1, 2, 3, 4, 5]
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>>> large_broadcast = sc.broadcast(list(range(10000)))
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"""
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# Holds broadcasted data received from Java, keyed by its id.
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_broadcastRegistry = {}
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def _from_id(bid):
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from pyspark.broadcast import _broadcastRegistry
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if bid not in _broadcastRegistry:
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raise Exception("Broadcast variable '%s' not loaded!" % bid)
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return _broadcastRegistry[bid]
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class Broadcast(object):
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def __init__(self, bid, value, java_broadcast=None, pickle_registry=None):
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self.value = value
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self.bid = bid
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self._jbroadcast = java_broadcast
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self._pickle_registry = pickle_registry
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def __reduce__(self):
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self._pickle_registry.add(self)
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return (_from_id, (self.bid, ))
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def _test():
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import doctest
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doctest.testmod()
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if __name__ == "__main__":
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_test()
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