RXJAVA ESSENTIALS PDF

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Rxjava Essentials Pdf

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rxjava-essentials-cn: RxJava Essentials 一书的中文翻译版,仅供学习交流使用. 0 Change Requests. Star Subscribe · Read · Download PDF. RxJava—Reactive Extensions for the JVM—is a library for composing asynchronous and event-based programs using Observable sequences. private Observable getApps() { return raudone.info(subscriber -> {. List apps = getList(); for (AppInfoRich appInfo: apps) {.

The Main Thread is responsible for lots of things like updating the UI, handling touch events, and of course the Activity Lifecycle methods. Slowing down the Main Thread causes sluggish apps.

If you slow down the Lifecycle methods then you slow down the Main Thread, which means sluggish apps. In earlier versions of Android It was possible to do networking requests on the Main Thread.

This led to slow and sluggish apps and angry users. Later on Android prohibited doing network requests on the Main Thread and instead would throw a network on Main Thread Exception. That of course means we need to get the work off the Main Thread.

Moving work off the Main Thread does not solve all of our problems. It is easy to leak memory by having a reference to a Context often times an Activity in particular. Having a reference to an Activity is not bad in and of itself. Since activities can use lots of memory this is a problem.

This is a common problem when using AsyncTask. Colt McAnlis gave a fantastic talk about concurrency at the Austin Droids meetup in which stated AsyncTask should be used for tasks that take 2 milliseconds or less.

Since 2 milliseconds is a crazy short amount of time, you can see how easy it would be to violate that principle. And when you do that then you run the risk of running into an IllegalStateException. Which uncaught becomes an application crash. Much to the frustration of your app users. Picture this, you are using amazing app, then you need to check your email.

So you open the gmail app. While you are checking your email you get the annoying popup that amazing app has crashed.

Angry Users Understandably this leads to angry users. Which leads to bad reviews. Which leads to fewer users. The great news is that RxJava solves these problems. It gives an easy way of handling concurrency, and an easy way of stopping.

Nield Thomas. Learning RxJava

What About Architecture Components? For some developers they are a bit controversial because they expose lifecycle events further. They were hoping that Google would have provided a solution to allow developers to not care about the lifecycle.

Since they are so new, it will be interesting to see how they are regarded in the coming months.

Fragments were very controversial. However, If you opt to use the Architecture Components all of the wonderful features of Rx can still be used. Architecture Components showing up just means that there is another option for handling issues that arise from combining life cycle and concurrency. In fact during the Architecture Components Introduction they actually mentioned Rx. Which brings us to the other reasons why you should be using Rx.

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Here's some of the other benefits that come along with the RxJava framework which should seal the deal. But as an Android developer, how do you make it work for you? Here is some practical information for Android developers. RxAndroid is an extension to RxJava built just for Android. It includes special bindings that will make your life easier. Reactive Extensions is a library to compose asynchronous and event-based programs using observable collections and LINQ-style query operators, quoted from the corresponding MSDN site.

Netflix made the library available for the public on Github, supporting Java 6 or newer, making it available to use with Android apps as well. First RxJava RxJava Observable tranformation: concatMap vs flatMap :After a while I decided that was time to get back for some writing. Debugging RxJava on Android :Debugging is the process of finding and resolving bugs or defects that prevent correct operation of computer software Wikipedia.

Nowadays debugging is not an easy task, specially with all the complexity around current systems: Android is not an exception to this rule and since we are dealing with asynchronous executions, that becomes way harder. As you might know, at SoundCloud, we are heavily using RxJava as one of our core components for Android Development, so in this article I am gonna walk you through the way we debug Rx Observables and Subscribers.

Improving UX with RxJava :In a perfect mobile world users would never lose connectivity, servers will never return errors and bacon would have been low fat. Building a great app experience is usually a bliss for a user but pain for the developer.

Gone are the days that a user clicks a button, the UI gets blocked and you wait for a backend response. They want their tweets now. As a developer, you demand fire-and-forget messaging. Developers need tools to react to pushed data. Here we outline different approaches to unit test Observables.

Why should we use RxJava on Android :Reactive Extensions Rx are a set of interfaces and methods which provide a way to developers solve problems rapidly, simply to maintain, and easy to understand. RxJava provides just that, a set of tools to help you write clean and simpler code.

To be honest with you, at first I thought RxJava was just way to difficult to understand and the ideia to add a library just to use these new tools was very troubling for me. After awhile, I understood that I was struggling by doing the same boilerplate implementation over and over again to keep the user updated on what is going on the application.

I was using akka and wanted to make an http call within the method handling a message.

When the http call completed, I wanted the actor to send a message back to the original sender actor. As I was using akka I needed to make the http call asynchronously so as not to block the thread. Seems straight forward enough if I use something like ReactiveX.

I can use an async http client and convert a future into an observable. I can then subscribe to that observable, handle the http response, and send a message back to the sender. All we do here is use the subscribeWith method to subscribe to the movie observable. The onNext Movie method will be called every time a Movie object is fetched by the observable. It can be fetched from the network, database, files, or any other source. All that matters is that the observer s subscribed to it will always be notified of the events happening in the stream.

After the operation succeeds, the onComplete method will be called, but if the operation fails, the onError method will be called with the appropriate error object. Dispose, but what? Whenever an observer subscribes to an observable, a connection is formed between them that effectively needs to be cleared or terminated when not needed. Otherwise it can lead to resource leaks. Your observers are nothing more than garbage after they have done their job.

Operator The real power of RxJava comes with the huge arsenal of operators it brings to the table. The operators are pure functions that transform or modify observable streams. Going back to our conference example, suppose a new speaker comes up and starts speaking in German, but the attendees understand only English.

This is where a translator can come into play who can translate every sentence of the speaker into something meaningful that all the attendees can understand. We have already observed that the return type of these operator methods is also an observable, which enables us to chain multiple operators one after the other and perform crazy things.

There are hundreds of operators available in RxJava, and explaining each of them would take over 10, words. This operator works only on the source observable. This is where the subscribeOn operator comes into play. You can use this operator only once. If you do use it multiple times, only the one defined closest to the source will take effect.

Now see an another variant: movieObservable. I have used observeOn three times.

RxJava Essentials

Schedulers Because you have already seen some schedulers used in some of the previous examples and might have been wondering what these things are. Schedulers represent a particular thread for operations to be performed. There are several schedulers available in RxJava, including: Scheduler. You should probably restrict yourself from creating new threads all the time and use the other schedulers available so that the framework can work on improving the threading performance using techniques such as thread pooling.

You need to use the RxAndroid library for it, though. If there is something that is still unclear in your mind, consider giving this article another read.Popular in Thread Computing.

Functional Reactive Programming is hard when you come from an imperative world, but once you understand it, it's so awesome! All lovely and non-blocking. After reading this article I decided to roll my own!

In case of error, we just want to show an error message as Toast. There's a problem loading this menu right now. But, some of the content are not in detailed.

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