lodengo / mr

nodejs map reduce

mr

nodejs map-reduce

CouchDB-style-like map-reduce:CouchDB MapReduce

usage: world count example

  var fs = require('fs');
	var worldCounter = new MapReduce({
  	map: function(chunk){		
  		chunk.toString().split(/\W+|\d+/).forEach(function(world){			
  			world && this.emit(world.toLowerCase(), 1);
  		}, this);
  	},
  	reduce: function(key, values){
  		return this.count(values);
  	},
  	inputs: fs.readdirSync('./').map(fs.createReadStream),
  	fork: false //should forEach input fork a cluster.worker to do map job or not
  });
  
  worldCounter.run(function(result){
  	console.log(result);
  });

more think:

1. should do reduce during mapping rather than wait until mapping done?
2. use nodejs ChildProcess/Cluster fork to do map/reduce job?
3. for processing and generating large data sets with a parallel, distributed algorithm on a cluster? you may look for Hadoop