RxJavaDemo | RxJava demo for android Rxjava操作符使用整理 | Reactive Programming library
kandi X-RAY | RxJavaDemo Summary
kandi X-RAY | RxJavaDemo Summary
##集成 compile 'io.reactivex:rxandroid:1.2.1' compile 'io.reactivex:rxjava:1.2.1' ##创建被观察者 ####create 使用onsubscribe从头创建一个observable，这种方法比较简单。需要注意的是，使用该方法创建时，建议在onsubscribe#call方法中检查订阅状态，以便及时停止发射数据或者运算。. ####from 将一个iterable, 一个future, 或者一个数组，内部通过代理的方式转换成一个observable。future转换为onsubscribe是通过onsubscribetoobservablefuture进行的，iterable转换通过onsubscribefromiterable进行。数组通过onsubscribefromarray转换。. ##创建观察者 ####创建observer observer 即观察者，它决定事件触发的时候将有怎样的行为。 rxjava 中的 observer 接口的实现方式：. ###创建subscriber 除了 observer 接口之外，rxjava 还内置了一个实现了 observer 的抽象类：subscriber。 subscriber 对 observer 接口进行了一些扩展，但他们的基本使用方式是完全一样的：. ####action1,action0 action1 onnextaction = new action1 () { // onnext() @override public void call(string s) { log.d(tag, s); } }; action1 onerroraction = new action1 () { // onerror() @override public void call(throwable throwable) { // error handling } }; action0 oncompletedaction = new action0() { // oncompleted() @override public void call() { log.d(tag, "completed"); } };. action0 是 rxjava 的一个接口，它只有一个方法 call()，这个方法是无参无返回值的；由于 oncompleted() 方法也是无参无返回值的，因此 action0 可以被当成一个包装对象，将 oncompleted() 的内容打包起来将自己作为一个参数传入 subscribe() 以实现不完整定义的回调。这样其实也可以看做将 oncompleted() 方法作为参数传进了 subscribe()，相当于其他某些语言中的『闭包』。 action1 也是一个接口，它同样只有一个方法 call(t param)，这个方法也无返回值，但有一个参数；与 action0 同理，由于 onnext(t obj) 和 onerror(throwable error) 也是单参数无返回值的，因此 action1 可以将 onnext(obj) 和 onerror(error) 打包起来传入 subscribe() 以实现不完整定义的回调。事实上，虽然 action0 和 action1 在 api 中使用最广泛，但 rxjava 是提供了多个 actionx 形式的接口 (例如 action2, action3) 的，它们可以被用以包装不同的无返回值的方法。 ##订阅 创建了 observable 和 observer 之后，再用 subscribe() 方法将它们联结起来，整条链子就可以工作了。代码形式很简单：. ##scheduler subscribeon(): 指定 subscribe() 所发生的线程，即 observable.onsubscribe 被激活时所处的线程。或者叫做事件产生的线程。 * observeon(): 指定 subscriber 所运行在的线程。或者叫做事件消费的线程。. ##变换 flatmap() 和 map() 有一个相同点：它也是把传入的参数转化之后返回另一个对象。但需要注意，和 map() 不同的是， flatmap() 中返回的是个 observable 对象，并且这个 observable 对象并不是被直接发送到了 subscriber 的回调方法中。 flatmap() 的原理是这样的：1. 使用传入的事件对象创建一个 observable 对象；2. 并不发送这个 observable, 而是将它激活，于是它开始发送事件；3. 每一个创建出来的 observable 发送的事件，都被汇入同一个
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Top functions reviewed by kandi - BETA
- Click on view
- Schedules action on the observable
- Delay 3 seconds
- Delay timestamps
- Handle click on view
- On error
- Retry when the next timeout occurs
- Click the view
- Group by integer
- Buffer buffer
- Handle click
- Create RxListener
- Click the view
- Debounce an observable
- Called when the view is created
- Called when the view is saved
- Set up the dialog
- Start the activity
- Set the instance
- Set up the View
- Called when the activity is created
- Set the status of the component
RxJavaDemo Key Features
RxJavaDemo Examples and Code Snippets
Community Discussions
Trending Discussions on Reactive Programming
QUESTION
How can we divide work of consumers over a limited set of resources in RXJS?
I have a Pool class here (simplified):
ANSWER
Answered 2022-Mar-31 at 12:55So the main thing is you need to share the actual part that does the work, not only the resources.
Here's a solution from me:
https://stackblitz.com/edit/rxjs-yyxjh2?devToolsHeight=100&file=index.ts
QUESTION
There are two observables: the first named activator emits booleans. The second named signaler emits void events. There's a function f() which must be called under the next conditions:
If the last event from activator is true, and event from signaler comes, call f(). Otherwise (the last activator's event is false, or activator has not yet emitted anything), "remember" that signaler sent the event. As soon as activator emits true, call f() and clear "remembered" flag.
Example:
...ANSWER
Answered 2022-Mar-23 at 18:10You need a state machine, but you can contain the state so you aren't leaving the monad... Something like this:
QUESTION
We are using spring webflux (project reactor), as part of the requirement we need to call one API from our server.
For the API call, we need to cache the response. So we are using Mono.cache operator.
It caches the response Mono and the next time the same API call happens, it will get it from the cache. Following is example implementation
ANSWER
Answered 2022-Mar-03 at 14:54You can initialize the Mono in the constructor (assuming it doesn't depend on any request time parameter). Using cache operator will prevent multiple subscriptions to the source.
QUESTION
I would like to combine two observables in such a way that
- I mirror at most 1 value from the source observable (same moment it arrives),
- Then ignore its subsequent values until the notifier observable emits;
- Then, I allow to mirror at most 1 more value from the source;
- After which I again ignore elements until the notifier observable emits
- etc.
Source:
...ANSWER
Answered 2022-Jan-20 at 13:05I believe this is a simple use case of the throttle() operator.
QUESTION
I need to copy date from one source (in parallel) to another with batches.
I did this:
...ANSWER
Answered 2021-Dec-04 at 19:50You need to do your heavy work in individual Publisher-s which will be materialized in flatMap() in parallel. Like this
QUESTION
Context
I started working on a new project and I've decided to move from RxJava to Kotlin Coroutines. I'm using an MVVM clean architecture, meaning that my ViewModels communicate to UseCases classes, and these UseCases classes use one or many Repositories to fetch data from network.
Let me give you an example. Let's say we have a screen that is supposed to show the user profile information. So we have the UserProfileViewModel:
ANSWER
Answered 2021-Dec-06 at 14:53The most obvious problem I see here is that you're using Flow for single values instead of suspend functions.
Coroutines makes the single-value use case much simpler by using suspend functions that return plain values or throw exceptions. You can of course also make them return Result-like classes to encapsulate errors instead of actually using exceptions, but the important part is that with suspend functions you are exposing a seemingly synchronous (thus convenient) API while still benefitting from asynchronous runtime.
In the provided examples you're not subscribing for updates anywhere, all flows actually just give a single element and complete, so there is no real reason to use flows and it complicates the code. It also makes it harder to read for people used to coroutines because it looks like multiple values are coming, and potentially collect being infinite, but it's not the case.
Each time you write flow { emit(x) } it should just be x.
Following the above, you're sometimes using flatMapMerge and in the lambda you create flows with a single element. Unless you're looking for parallelization of the computation, you should simply go for .map { ... } instead. So replace this:
QUESTION
I am trying to create a table (with DT, pls don't use rhandsontable) which has few existing columns, one selectinput column (where each row will have options to choose) and finally another column which will be populated based on what user select from selectinput dropdown for each row.
in my example here, 'Feedback' column is the user dropdown selection column. I am not able to update the 'Score' column which will be based on the selection from 'Feedback' column dropdown.
...ANSWER
Answered 2021-Sep-30 at 14:31I'd suggest using dataTableProxy along with replaceData to realize the desired behaviour. This is faster than re-rendering the datatable.
Furthermore, re-rendering the table seems to be messing around with the bindings of the selectInputs.
Also please note: for this to work I needed to switch to server = TRUE
QUESTION
I'm receiving a request through a rest controller method with an object that I'm then passing to a method in the service layer.
The object in this request contains a list as follows:
...ANSWER
Answered 2021-Oct-18 at 16:21The expected way to do that is to actually use the fromIterable method and provide your List:
QUESTION
The following code attempts to react to one Supply and then, based on the content of some message, change its mind and react to messages from a different Supply. It's an attempt to provide similar behavior to Supply.migrate but with a bit more control.
ANSWER
Answered 2021-Oct-07 at 10:20I tend to consider whenever as the reactive equivalent of for. (It even supports the LAST loop phaser for doing something when the tapped Supply is done, as well as supporting next, last, and redo like an ordinary for loop!) Consider this:
QUESTION
I'm trying to use Combine to do several millions concurrent request through the network. Here is a mock up of the naive approach I'n using:
...ANSWER
Answered 2021-Oct-05 at 15:18The issue appears to be a Combine bug, as pointed out here. Using Publishers.Sequence causes the following operator to accumulate every value sent downstream before proceeding.
A workaround is to type-erase the sequence publisher:
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Install RxJavaDemo
You can use RxJavaDemo like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the RxJavaDemo component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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