# # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # """ >>> from pyspark.context import SparkContext >>> sc = SparkContext('local', 'test') >>> b = sc.broadcast([1, 2, 3, 4, 5]) >>> b.value [1, 2, 3, 4, 5] >>> from pyspark.broadcast import _broadcastRegistry >>> _broadcastRegistry[b.bid] = b >>> from cPickle import dumps, loads >>> loads(dumps(b)).value [1, 2, 3, 4, 5] >>> sc.parallelize([0, 0]).flatMap(lambda x: b.value).collect() [1, 2, 3, 4, 5, 1, 2, 3, 4, 5] >>> large_broadcast = sc.broadcast(list(range(10000))) """ # Holds broadcasted data received from Java, keyed by its id. _broadcastRegistry = {} def _from_id(bid): from pyspark.broadcast import _broadcastRegistry if bid not in _broadcastRegistry: raise Exception("Broadcast variable '%s' not loaded!" % bid) return _broadcastRegistry[bid] class Broadcast(object): """ A broadcast variable created with L{SparkContext.broadcast()}. Access its value through C{.value}. """ def __init__(self, bid, value, java_broadcast=None, pickle_registry=None): """ Should not be called directly by users -- use L{SparkContext.broadcast()} instead. """ self.value = value self.bid = bid self._jbroadcast = java_broadcast self._pickle_registry = pickle_registry def __reduce__(self): self._pickle_registry.add(self) return (_from_id, (self.bid, ))