Skip to main content

"A simple multi-processing based MapReduce framework"

Project description

A Multi-processing based single-host MapReduce Framework

This is a simple mapreduce framework.

Sample program

from mapreduce import *


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__":
    workers = 1
    N = 150000
    print('* map & reduce ')
    mr = MapReducer().workers(workers).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)])
    print('  Validation:',n)

History

0.5.0

  • process speed optimized

0.1.0

  • First release

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mapreduce-py-0.5.0.tar.gz (3.4 kB view hashes)

Uploaded Source

Built Distribution

mapreduce_py-0.5.0-py3-none-any.whl (4.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page