A Multi-processing based single-host MapReduce Framework
This is a simple mapreduce framework.
Sample program
from mapreduce import *
from math import ceil, sqrt
def mapper_2(item):
return (item + 5) * 23 - 1
def reducer_2(accumulated, item):
return accumulated + item
def is_prime(n):
for i in range(2, ceil(sqrt(n))):
if n % i == 0:
return False
return True
if __name__ == "__main__":
N = 150000
print('* map & reduce ')
mr = MapReducer().prefilter(is_prime).mapper(mapper_2).reducer(reducer_2, 0)
result = mr(range(N))
print(' MR Result :', result)
n = sum([(n + 5) * 23 - 1 for n in range(N) if is_prime(n)])
print(' Validation:', n)History
0.5.1
update examples
optimize export & imports
0.5.0
process speed optimized
0.1.0
First release
1 maintainer
Metadata
1 maintainer
Release files for mapreduce-py 0.5.1
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