60 lines
2 KiB
Python
60 lines
2 KiB
Python
"""
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Worker that receives input from Piped RDD.
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"""
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import os
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import sys
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import traceback
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from base64 import standard_b64decode
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# CloudPickler needs to be imported so that depicklers are registered using the
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# copy_reg module.
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from pyspark.accumulators import _accumulatorRegistry
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from pyspark.broadcast import Broadcast, _broadcastRegistry
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from pyspark.cloudpickle import CloudPickler
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from pyspark.files import SparkFiles
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from pyspark.serializers import write_with_length, read_with_length, write_int, \
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read_long, read_int, dump_pickle, load_pickle, read_from_pickle_file
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# Redirect stdout to stderr so that users must return values from functions.
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old_stdout = os.fdopen(os.dup(1), 'w')
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os.dup2(2, 1)
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def load_obj():
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return load_pickle(standard_b64decode(sys.stdin.readline().strip()))
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def main():
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split_index = read_int(sys.stdin)
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spark_files_dir = load_pickle(read_with_length(sys.stdin))
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SparkFiles._root_directory = spark_files_dir
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SparkFiles._is_running_on_worker = True
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sys.path.append(spark_files_dir)
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num_broadcast_variables = read_int(sys.stdin)
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for _ in range(num_broadcast_variables):
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bid = read_long(sys.stdin)
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value = read_with_length(sys.stdin)
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_broadcastRegistry[bid] = Broadcast(bid, load_pickle(value))
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func = load_obj()
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bypassSerializer = load_obj()
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if bypassSerializer:
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dumps = lambda x: x
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else:
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dumps = dump_pickle
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iterator = read_from_pickle_file(sys.stdin)
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try:
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for obj in func(split_index, iterator):
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write_with_length(dumps(obj), old_stdout)
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except Exception as e:
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write_int(-2, old_stdout)
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write_with_length(traceback.format_exc(), old_stdout)
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sys.exit(-1)
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# Mark the beginning of the accumulators section of the output
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write_int(-1, old_stdout)
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for aid, accum in _accumulatorRegistry.items():
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write_with_length(dump_pickle((aid, accum._value)), old_stdout)
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if __name__ == '__main__':
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main()
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