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github.com/poncem91/map-reduce
My implementation of MapReduce based on the paper "MapReduce: Simplified Data Processing on Large Clusters" by Jeffrey Dean Sanjay Ghemawat (2004).
Sample applications that use MapReduce provided by MIT's 6.824 course are located in the /mrapps
directory.
For example, to run sample WordCount application with my MapReduce implementation:
cd main
go build -race -buildmode=plugin ../mrapps/wc.go
rm mr-*
Then in one terminal run the coordinator:
cd main
go run -race mrcoordinator.go text/pg-*.txt
And in different terminals run the workers:
cd main
go run -race mrworker.go wc.so
Once the tasks are all done, the output will be in mr-out-*
and the sorted union of the output files can be observed by executing:
cat mr-out-* | sort | more
To run the test script:
cd main
sh test-mr.sh
My work is in the /mr
directory. Every other file was provided by MIT's 6.824 course.
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