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reduce.js
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reduce.js
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var async = require('async');
var t = require('./t');
var log = t.log;
/**
* Reduce可以让我们给定一个初始值,用它与集合中的每一个元素做运算,最后得到一个值。reduce从左向右来遍历元素,如果想从右向左,可使用reduceRight。
*/
//reduce(arr, memo, iterator(memo,item,callback), callback(err,result))
//alias: inject, foldl
var arr = [1,3,5];
/**
* 顺序执行
*/
async.reduce(arr, 100, function(memo, item, callback) {
log('1.1 enter: ' + memo +', ' + item);
setTimeout(function() {
callback(null, memo+item);
}, 100);
},function(err, result) {
log('1.1 err: ', err);
log('1.1 result: ', result);
});
// 28.789> 1.1 enter: 100, 1
// 28.889> 1.1 enter: 101, 3
// 28.999> 1.1 enter: 104, 5
// 29.109> 1.1 err:
// 29.109> 1.1 result: 109
/**
* 顺序执行过程中出错,只把错误传给最终callback,结果是null
*/
async.reduce(arr, 100, function(memo, item, callback) {
log('1.2 enter: ' + memo +', ' + item);
setTimeout(function() {
if(item===3) callback('myerr');
else callback(null, memo+item);
}, 100);
},function(err, result) {
log('1.2 err: ', err);
log('1.2 result: ', result);
});
// 05.541> 1.2 enter: 100, 1
// 05.649> 1.2 enter: 101, 3
// 05.760> 1.2 err: myerr
// 05.760> 1.2 result:
/**
* 顺序执行从右向左
*
* alias: foldr
*/
async.reduceRight(arr, 100, function(memo, item, callback) {
log('1.3 enter: ' + memo +', ' + item);
setTimeout(function() {
callback(null, memo+item);
}, 100);
},function(err, result) {
log('1.3 err: ', err);
log('1.3 result: ', result);
});
// 28.789> 1.3 enter: 100, 5
// 28.889> 1.3 enter: 105, 3
// 28.999> 1.3 enter: 108, 1
// 29.109> 1.3 err:
// 29.109> 1.3 result: 109
/**
* 通过t.inc做一个累加器,参与reduce的计算
*/
async.reduce(arr, 100, function(memo,item,callback) {
log('1.4 enter: '+memo+','+item);
t.inc(item, function(err,n) {
log('1.4 handle: ',n);
callback(null, memo+n);
});
}, function(err,result) {
log('1.4 err: ', err);
log('1.4 result: ', result);
});
// 28.789> 1.4 enter: 100,1
// 28.999> 1.4 handle: 2
// 28.999> 1.4 enter: 102,3
// 29.209> 1.4 handle: 4
// 29.209> 1.4 enter: 106,5
// 29.409> 1.4 handle: 6
// 29.409> 1.4 err:
// 29.409> 1.4 result: 112
// --> spent 0.62s
/**
* 通过t.inc做一个累加器,并实现对map的结果集做reduce
*/
async.map(arr, function(item, callback) {
log('1.5 enter: ', item);
t.inc(item, function(err,n){
log('1.5 handle: ', n);
callback(null,n);
});
},function(err, results) {
log('1.5 err: ', err);
log('1.5 results: ', results);
var sum = results.reduce(function(memo, item) {
return memo + item;
}, 100);
log('1.5 sum: ', sum);
});
// 28.789> 1.5 enter: 1
// 28.789> 1.5 enter: 3
// 28.789> 1.5 enter: 5
// 28.999> 1.5 handle: 2
// 28.999> 1.5 handle: 4
// 28.999> 1.5 handle: 6
// 28.999> 1.5 err:
// 28.999> 1.5 results: [ 2, 4, 6 ]
// 28.999> 1.5 sum: 112
// --> spent 0.21