reactive-programming

Subject vs BehaviorSubject vs ReplaySubject in Angular

。_饼干妹妹 提交于 2019-11-27 02:31:37
I've been looking to understand those 3: Subject , Behavior subject and Replay subject . I would like to use them and know when and why, what are the benefits of using them and although I've read the documentation, watched tutorials and searched google I've failed to make any sense of this. So what are their purpose? A real-world case would be most appreciated it does not have to even code. I would prefer a clean explanation not just "a+b => c you are subscribed to ...." Thank you It really comes down to behavior and semantics. With a Subject - a subscriber will only get published values that

What is the difference between flatmap and switchmap in RxJava?

天大地大妈咪最大 提交于 2019-11-27 02:27:05
The rxjava doc definition of switchmap is rather vague and it links to the same page as flatmap. What is the difference between the two operators? dwursteisen According to the documentation ( http://reactivex.io/documentation/operators/flatmap.html ) the switchMap is like the flatMap , but it will only emit items from the new observable until a new event is emitted from the source observable. The marble diagram shows it well. Notice the difference in the diagrams: In switchMap the second original emission ( green marble ) does not emit its second mapped emission ( green square ), since the

What is the difference between a Observable and a Subject in rxjs?

纵然是瞬间 提交于 2019-11-27 00:45:44
问题 i was going through this blog and to read about Observables and i couldnt figure out the difference between the Observable and a Subject 回答1: In stream programming there are two main interfaces: Observable and Observer . Observable is for the consumer, it can be transformed and subscribed: observable.map(x => ...).filter(x => ...).subscribe(x => ...) Observer is the interface which is used to feed an observable source: observer.next(newItem) We can create new Observable with an Observer : var

Creating Observable without using Observable.create

ぐ巨炮叔叔 提交于 2019-11-27 00:42:43
问题 I am using RxJava in my Android app and I want to load data from the database. In this way, I am creating a new Observable using Observable.create() which returns a list of EventLog public Observable<List<EventLog>> loadEventLogs() { return Observable.create(new Observable.OnSubscribe<List<EventLog>>() { @Override public void call(Subscriber<? super List<EventLog>> subscriber) { List<DBEventLog> logs = new Select().from(DBEventLog.class).execute(); List<EventLog> eventLogs = new ArrayList<>

Reactive Programming Advantages/Disadvantages

人走茶凉 提交于 2019-11-26 19:44:42
问题 I keep studying and trying Reactive Style of coding using Reactor and RxJava. I do understand that reactive coding makes better utilization of CPU compared to single threaded execution. Is there any concrete comparison between reactive programming vs imperative programming in web based applications? How much is the performance gain, throughput I achieve by using reactive programming over non-reactive programming? Also what are the advantages and disadvantages of Reactive Programming? Is there

Chaining Observables in RxJS

邮差的信 提交于 2019-11-26 18:47:14
I'm learning RxJS and Angular 2. Let's say I have a promise chain with multiple async function calls which depend on the previous one's result which looks like: var promiseChain = new Promise((resolve, reject) => { setTimeout(() => { resolve(1); }, 1000); }).then((result) => { console.log(result); return new Promise((resolve, reject) => { setTimeout(() => { resolve(result + 2); }, 1000); }); }).then((result) => { console.log(result); return new Promise((resolve, reject) => { setTimeout(() => { resolve(result + 3); }, 1000); }); }); promiseChain.then((finalResult) => { console.log(finalResult);

Combine a list of Observables and wait until all completed

筅森魡賤 提交于 2019-11-26 18:46:51
问题 TL;DR How to convert Task.whenAll(List<Task>) into RxJava ? My existing code uses Bolts to build up a list of asynchronous tasks and waits until all of those tasks finish before performing other steps. Essentially, it builds up a List<Task> and returns a single Task which is marked as completed when all tasks in the list complete, as per the example on the Bolts site. I'm looking to replace Bolts with RxJava and I'm assuming this method of building up a list of async tasks (size not known in

What is “callback hell” and how and why does RX solve it?

☆樱花仙子☆ 提交于 2019-11-26 15:43:34
Can someone give a clear definition together with a simple example that explains what is a "callback hell" for someone who does not know JavaScript and node.js ? When (in what kind of settings) does the "callback hell problem" occur? Why does it occur? Is "callback hell" always related to asynchronous computations? Or can "callback hell" occur also in a single threaded application? I took the Reactive Course at Coursera and Erik Meijer said in one of his lectures that RX solves the problem of "callback hell". I asked what is a "callback hell" on the Coursera forum but I got no clear answer.

Calling setState in render is not avoidable

旧街凉风 提交于 2019-11-26 14:45:19
问题 React document states that the render function should be pure which mean it should not use this.setState in it .However, I believe when the state is depended on 'remote' i.e. result from ajax call.The only solution is setState() inside a render function In my case.Our users can should be able to log in. After login, We also need check the user's access (ajax call )to decide how to display the page.The code is something like this React.createClass({ render:function(){ if(this.state.user.login)

What is the difference between flatmap and switchmap in RxJava?

眉间皱痕 提交于 2019-11-26 12:34:19
问题 The rxjava doc definition of switchmap is rather vague and it links to the same page as flatmap. What is the difference between the two operators? 回答1: According to the documentation ( http://reactivex.io/documentation/operators/flatmap.html ) the switchMap is like the flatMap , but it will only emit items from the new observable until a new event is emitted from the source observable. The marble diagram shows it well. Notice the difference in the diagrams: In switchMap the second original