[RxJS] map vs flatMap
What's the difference between map and flatmap? First, let's show what map is. To show that, I need a source stream, so I'm going to make an interval. It takes a tenth of a second, and I'm only going to take 10 values, and subscribe to it.
var source = Rx.Observable.interval(100).take(10).map((x) => x*2); console.clear(); source.subscribe(function(res){ console.log(res); }); /* 0 2 4 6 8 10 12 14 16 18 */
But what happens if I want to do something asynchronous in here? To show this, I'm going to return an observable timer, which is just going to wait for half of a second, and then map to exactly the same values.
var source = Rx.Observable.interval(100).take(10) .map(function(x){ return Rx.Observable.timer(100).map(function(){ return x; }); }); console.clear(); source.subscribe(function(res){ console.log(res.toString()); }); /* "[object Object]" "[object Object]" "[object Object]" "[object Object]" "[object Object]" "[object Object]" "[object Object]" "[object Object]" "[object Object]" "[object Object]" */
'Rx.Observable.timer(100)' causes it delay 100 ms.
You find You're going to get objects back. That's because these objects are observables. I'd really, really like to get my values back into my stream. There's actually two ways to do this.
First Way: mergerAll()
What a merge all does is, it takes in a stream of observables, or an observable of observables, and merges them together as they come in.
It subscribes to each one, and pumps them into one output stream.
var source = Rx.Observable.interval(100).take(10) .map(function(x){ return Rx.Observable.timer(100).map(function(){ return x; }); }).mergeAll(); console.clear(); source.subscribe(function(res){ console.log(res.toString()); }); /* "0" "1" "2" "3" "4" "5" "6" "7" "8" "9" */
Second way: flatMap()
What flatmap is going to do is it's going to perform this mapping function and then subscribe to each observable returned by the map.
var source = Rx.Observable.interval(100).take(10) .flatMap(function(x){ return Rx.Observable.timer(100).map(function(){ return x; }); }); console.clear(); source.subscribe(function(res){ console.log(res.toString()); });
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· SQL Server 2025 AI相关能力初探
· Linux系列:如何用 C#调用 C方法造成内存泄露
· AI与.NET技术实操系列(二):开始使用ML.NET
· 记一次.NET内存居高不下排查解决与启示
· 探究高空视频全景AR技术的实现原理
· 阿里最新开源QwQ-32B,效果媲美deepseek-r1满血版,部署成本又又又降低了!
· Manus重磅发布:全球首款通用AI代理技术深度解析与实战指南
· 开源Multi-agent AI智能体框架aevatar.ai,欢迎大家贡献代码
· 被坑几百块钱后,我竟然真的恢复了删除的微信聊天记录!
· AI技术革命,工作效率10个最佳AI工具