var Job = {
//待處理的數(shù)據(jù)
data : [
"We are glad to see you here. This site is dedicated to",
"poetry and to the people who make poetry possible",
"poets and their readers. FamousPoetsAndPoems.com is",
"a free poetry site. On our site you can find a large",
"collection of poems and quotes from over 631 poets",
"Read and Enjoy Poetry",
"I, too, sing America",
"I am the darker brother",
"They send me to eat in the kitchen",
"When company comes",
"But I laugh",
"And eat well",
"And grow strong",
"Tomorrow",
"Ill be at the table",
"When company comes",
"Nobodyll dare",
"Say to me",
"Eat in the kitchen",
"Then",
"Besides",
"Theyll see how beautiful I am",
"And be ashamed",
"I, too, am America"
],
//將數(shù)據(jù)中的每行字符串用空格分隔開，
//并"重組"成諸如{key: 單詞, value: 1}格式的對象，返回對象數(shù)組
map : function(line) {
var splits = line.split(" ");
var temp = [];
for(var i=0; i<splits.length; i++) {
temp.push({key : splits[i], value : 1});
}
return temp;
},
//計算每個單詞在"數(shù)據(jù)"（data）中出現(xiàn)的次數(shù)
reduce : function(allSteps) {
var result = {};
for(var i=0; i<allSteps.length; i++) {
var step = allSteps[i];
result[step.key] = result[step.key] ? (result[step.key] + 1) : 1;
}
return result;
},
//初始化，同時是運行的入口。
init : function() {
var allSteps = [];
for(var i=0; i<Job.data.length; i++) {
//如果這里能多線程調(diào)用Job.map函數(shù)就更逼真了。？？
allSteps = allSteps.concat(Job.map(Job.data[i]));
}
//美中不足，這里不能多線程調(diào)用Job.reduce函數(shù)？？
var result = Job.reduce(allSteps)
console.log(JSON.stringify(result));
}
}; // Job
//開始執(zhí)行
Job.init();