c84946fe21
Currently PythonPartitioner determines partition ID by hashing a byte-array representation of PySpark's key. This PR lets PythonPartitioner use the actual partition ID, which is required e.g. for sorting via PySpark.
109 lines
2.7 KiB
Python
109 lines
2.7 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import struct
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import cPickle
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class Batch(object):
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"""
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Used to store multiple RDD entries as a single Java object.
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This relieves us from having to explicitly track whether an RDD
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is stored as batches of objects and avoids problems when processing
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the union() of batched and unbatched RDDs (e.g. the union() of textFile()
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with another RDD).
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"""
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def __init__(self, items):
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self.items = items
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def batched(iterator, batchSize):
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if batchSize == -1: # unlimited batch size
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yield Batch(list(iterator))
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else:
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items = []
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count = 0
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for item in iterator:
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items.append(item)
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count += 1
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if count == batchSize:
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yield Batch(items)
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items = []
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count = 0
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if items:
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yield Batch(items)
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def dump_pickle(obj):
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return cPickle.dumps(obj, 2)
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load_pickle = cPickle.loads
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def read_long(stream):
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length = stream.read(8)
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if length == "":
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raise EOFError
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return struct.unpack("!q", length)[0]
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def write_long(value, stream):
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stream.write(struct.pack("!q", value))
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def pack_long(value):
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return struct.pack("!q", value)
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def read_int(stream):
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length = stream.read(4)
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if length == "":
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raise EOFError
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return struct.unpack("!i", length)[0]
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def write_int(value, stream):
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stream.write(struct.pack("!i", value))
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def write_with_length(obj, stream):
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write_int(len(obj), stream)
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stream.write(obj)
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def read_with_length(stream):
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length = read_int(stream)
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obj = stream.read(length)
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if obj == "":
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raise EOFError
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return obj
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def read_from_pickle_file(stream):
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try:
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while True:
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obj = load_pickle(read_with_length(stream))
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if type(obj) == Batch: # We don't care about inheritance
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for item in obj.items:
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yield item
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else:
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yield obj
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except EOFError:
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return
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