Livedata vs rxjava. fromPublisher() library.
Livedata vs rxjava. RxJava for Android begineers.
Livedata vs rxjava RxJava和LiveData都是在Android Architecture Components推荐使用的库，LiveData相对RxJava出现较晚，相当于轻量版的RxJava。两个库在功能角色上有重叠，所以我们通过与RxJava的对比，视图让大家了解LiveData的使用场景。LiveData无法处理异 LiveData本身的设计理念比较简单，无法像RxJava那样在一个strem同时 LiveData vs. DataBinding ViewModel vs RxJava 2. If you use LiveData or RxJava, you can completely isolate your ViewModel layer from the View layer, while if you just use call backs your View somehow needs to pass listeners or even its own reference to the RxJava’s Room. The observer pattern made our lives easier, but options such as RxJava were too complex for beginners at the time. I utilized some convenient functions of RxKotlin like subscribeBy() and addTo() to improve readability. The fromPublisher() method takes an instance of the Publisher interface, which is implemented by RxJava Flowables, and returns a LiveData object. LiveData with different results On Confguration change. Commented Apr 30, 2020 at 22:29. If you have basic knowledge about RxJava, then this logic is easy to understand. fromPublisher() library. Flow介绍. Supported by Google. For all practical purposes, you can imagine that CoroutineScope is directly equivalent to RxJava’s CompositeDisposable. Mar 19. So, let’s embark on this journey of understanding and comparing these LiveData is an observable data holder class. . LiveData配合RxJava. LiveData has no publicly available methods to update the stored data. No way of combining results from different LiveData steams. Less boilerplate code, compile-time checked SQL queries, and on top of this, Async queries return LiveData or RxJava’s Maybe, Single or Flowable. From your own words. 5k次，点赞2次，收藏4次。1. 前提作者最近在学习kotlin,刚看到协程,又看到了flow. 兩者可以做到幾乎相同的事情. 文章浏览阅读1. 发现这两个东西是可以完成取代rxjava和LiveData的。然后我就来找不同,一起体验一下两种东西加在一起的不同. LiveData ist lebenszyklusbewusst, was bedeutet, dass die Ansicht nur aktualisiert, wenn sie aktiv ist. But I'm also happy with what I have now. DAO LiveData=====LiveData在2017年推出以来，作为Jetpack大家族的元老级人物，为安卓的MVVM架构作出了非凡的贡献，毕竟在当时的背景环境，大家都深陷RxJava的支配。而LiveData作为观察者模式的框架，能够以更平滑的学习曲线来实现变量的订阅，比起RxJava那一套更加轻量级，而且作为Google的亲儿子，在生命周期 . RxJava 是一个强大的响应式编程库，可以用于处理各种异步操作和数据流。 现如今 Android 领域流行的网络请求框架基本都是用 Retrofit 加 RxJava 来搭配构建的，而以 ViewModel + LiveData + Retrofit + RxJava 来构建请求框架的例子要相对少得多。 下面请欣赏RxJava与LiveData&Flow的爱恨情仇： 在2017年之前，大家都是使用 RxJava 去配合 Retrofit 实现网络请求，RxJava实现事件订阅。 但是，谁用谁知道 (真的复杂，各种线程的切换，头脑爆炸，不过，现在用协程就可以啦😻) 。 RxJava和LiveData两者优缺点的详细分析 RxJava和LiveData都是用于处理异步数据流的工具，但它们各自有不同的特点和适用场景。下面是对两者优缺点的详细分析以及如何选择和使用的建议： RxJava 优点： 功能强大：RxJava 提供了丰富的操作符，能够轻松实现复杂的数 LiveData is lifecycle-aware, meaning that the view is only updated when it is active. Is there any way to have multiple Flow from a single source Flow?; Using MutableLiveData I can update data from anywhere using the variable reference. Também sei que o Livedata é síncrono e o RxJava é assíncrono, mas isso pode ser resolvido com as corrotinas no Kotlin. The requirement might be to execute the asynchronous calls chained or in Eu sei que o LiveData está preparado para lidar com o ciclo de vida da aplicação, seja de uma activity, um fragment ou um serviço. Discussion Is Kotlin Flows what developers should be migrating to from LiveData? Is there also a better alternative to ViewModel? I'm still using RxJava + LiveData - haven't yet found a good reason to move to Coroutines + Flow. LiveData was something we needed back in 2017. 1 为什么引入LiveData?. I still like RxJava compositions and I like to think that a few things I did were pretty elegant. 有没有办法能让 RxJava 像 LiveData 那样感知 Android 生命周期，拥有 LiveData 那些优点？ LiveData 以内部类的方式实现了 LifecycleObserver， RxJava 通过 ObservableTransformer 的方式实现 LifecycleObserver。 这正是 Live open in new window 的由来。至此，令人惊艳的 LiveData 完成了它的使命。 이 LiveData와 RxJava의 듀오를 최대한 활용하기 위해 할 수 있는 최선의 방법은 (1) 비즈니스 로직(네트워크 호출, 데이터 조작 등, Repository 안팎에서 발생하는 모든 것)에 RxJava를 사용하고, (2) 프레젠테이션 계층에 LiveData를 사용하는 것이다. One activity's data is being used in another activity or fragment. There are a bunch of different operators like . While I was writing the previous article I considered it a good trade-off, as you were gaining a convenient way combine LiveData with Observable while at the same time avoiding Activity leak. LiveData is built on top of RxJava’s Observable concept but offers additional features specifically tailored for Android development. Unlike a regular observable, LiveData is lifecycle-aware, If one comes to me having not knowledge of RxJava i would definitely say: “Use LiveData instead — they will cover 90% of the real android developer needs, and you will be RxJava vs LiveData. The problem is that rxJava takes too much space as dependency. Any Drawback? There is a difference between LiveData and Reactive interface. When you use LiveData with RxJava you don't need stuff like MediatorLiveData, SwitchMap etc. With all the functionalities it provides, The lifecycle and threading are taken cared with just one parameter passed to the liveData block: LiveData vs RxJava 2 Hello, I have spend a lot of time learning and implementing Livedata (especially MediatorLivedata) in business logic, because it helps to add data from various sources. These are my extension functions: I used Room and RxJava Single with Livedata, it doesn't work. 优点： 功能强大： RxJava 提供了非常丰富的操作符，可以处理各种复杂的异步操作。 In other hand RxJava gives us more power to manipulate the data that we get from the response like filter, map, flat map. LifecycleOwner is considered as active, if its state is STARTED or RESUMED. LiveData considera que un observador está en estado activo si su ciclo de vida está en el estado STARTED o RESUMED. I don't know why the second one works and why the first one doesn't. Had a success with it, because I could add FCM, Network or RoomDatabase as different sources to my MediatorLivedata and observe it in ViewModel. right now I do everything with Livedata and various variations with it. 0. RxJava对LiveData来说既不是更好也不是更差，它是不同的。Android架构组件的设计目的是为Android开发人员提供一个模型架构模式。 因此，如果您对LiveData很满意，就使用它，或者如果您对RxJava很满意，就使用它。 RxData--基于RxJava的LiveData 基于RxJava的LiveData实现 架构组件. Hi folks, I was wondering if anyone knew of any benefits of RxJava over Kotlin Coroutines. In Flow you can use MutableSharedFlow or MutableStateFlow to achieve a similar effect. For LiveData you are not forced to give an initial value, it may end up writing more code in init{}; But for StateFlow you are Forced to give an initial value (including null), it may save your code a bit. get livedata response from integrated retrofit with RxJava. Android LiveData vs. (1) get List by Single -> not work (2) get List by Livedata -> work (1) get List by Single. I tried in two ways. RxJava. Flow 就是 Kotlin 协程与响应式编程模型结合的产物，你会发现它与 RxJava 非常像，二者之间也有相互转换的 API 文章浏览阅读766次。项目之前使用的是MVP结构，现在想改成MVVM。原先的项目里使用的是Rxjava来处理网络请求。ViewModel中常使用LiveData来封装数据学习MVVM阶段想轻量的改动，保持原有的Rxjava又用上LiveData在保持原先MVP的Model层代码不变的情况下在返回的Observable<T>后调用以下代码，可以将Observable转换为 LiveData와 RxJava의 공통점. Flow: A Comparison. 안드로이드 개발에서 비동기 데이터 처리는 필수!네트워크 요청, 데이터베이스 조회, UI 이벤트 처리 등을 할 때 동기적으로 실행하면 앱이 멈추거나 응답이 느려질 수 있어. This facilitates communication between ViewModel and view, reducing the number of necessary data calls and storage locations. Observable DataBinding ObservableInt vs. If you compare this code to my MVP sample here, you will notice that in MVVM LiveData vs StateFlow. 当然了,如果你使用的是JAVA,就老老实实用RXJAVA+LiveData把。 协程是Android里面kotlin特有的。 1. LiveData is the means to My team and I were heavy RxJava users for years. choose LiveData. Answers reflecting given scenario is much appreciated, but other use cases are also welcomed. Android JetPack现在已经在android开发中大行其道，以下是个人使用LiveData与数据库查询的一点总结。 LiveData + Room. Here are a few of my suggestions for this: Define a constant or object that represents null, and use it instead. LiveData的使用相对简单，适合快速开发和简单的数据流处理。 RxJava是一个在Java虚拟机（JVM）上使用可观察序列构建异步和基于事件的程序的库。通过使用RxJava，您可以编写类似于使用观察者模式的代码，但具有更强大的功能和更高的灵活性。 I have some questions about Kotlin Flow. For example, when LiveData and StateFlow are two powerful data holder classes that facilitate reactive programming in Android RxJava Android with Marble Diagram. So, another option would be to have some sort of adapter that converts RxJava into Another drawback is that there are no operators or ways of combining results from different LiveData streams. Flow是Google官方提供的一个类似于RxJava的响应式编程模型。它是基于Kotlin协 Bridging RxJava and LiveData. This means that an Observer can be added in a pair with a LifecycleOwner, and this observer will be notified about modifications of the wrapped data only if the paired LifecycleOwner is in active state. 谷歌官方推出了架构组件，用来解决生命周期，数据库访问，ViewModel的定义，数据订阅等等问题。. If you are a programmer who develop Android with the RxJava + LiveData and thinking about Kotlin Flow instead of LiveData, but not really sure about why do you need one more technology, then I have LiveData seems very useful since it only notifies the view when the view is in an active state. mutable : 변할 수 있는, 잘 변하는 스타크래프트 I have a LiveData in my repository class which is being observed (through a viewmodel of course) in an activity (I am using MVVM architecture) and when button is clicked, an API is called using Retrofit which returns an RxJava2 Observable (not a Call) because I need RxJava2 to zip together 2 api calls. In this blog, we will learn how to use Room with LiveData, RxJava and Coroutines. My final point is that the message here shouldn't be about LiveData vs StateFlow. Cons: Only works on the main thread, so it is not really a replacement of background threading solution. With Kotlin coroutines you can also use Channels but they are considered somewhat a lower level API. Hot Network Questions Does standardization of feature vectors in OLS regression change the meaning of the regression coefficients? RxJava Subjects vs Mutable*Flow A Subject in RxJava is a class that you can use to manually push your data on it while still using it as a stream. For example, when some In RxJava, there are hundreds of o. So, for example :- Livedata vs Rxjava. One of our new projects was therefore Note: If you are already using a library like RxJava or Agera, you can continue using them instead of LiveData. About 2 years ago, when we had to work on a new internal company SDK, we couldn't use RxJava because it's a 3rd party dependency, so we leveraged Coroutines. The MutableLiveData Kotlin Flow 是基于 Kotlin 协程基础能力搭建的一套数据流框架，从功能复杂性上看是介于 LiveData 和 RxJava 之间的解决方案。Kotlin Flow 拥有比 LiveData 更丰富的能力，但裁剪了 RxJava 大量复杂的操作符，做得更加精简。 Replacing LiveData with RxJava We chose to try out LiveData because of the advantages above. 要了解LiveData的不足，我们先了解下LiveData为什么被引入. 먼저 Mutable의 사전적 정의는 아래와 같다. Both CompositeDisposable and CoroutineScope LiveData 与 RxJava 的区别对比 rxjava作用，前言欢迎来到深入理解RxJava2系列第四篇。前一篇中我们认识了线程操作符，并详细介绍了subscribeOn操作符，最后一个例子给大家介绍使用该操作符的注意事项，由于篇幅问题就戛然而止了。本文将继续介绍observeOn，并用这两者做一些比较帮助大家深刻理解它们。 It didn’t leak the entire Activity or Fragment, but it did leave something begind, namely the RxJava’s Disposable and the LiveData itself. Doing queries in Room with RxJava. And what i can say? Respect google you have developed some amazing stuff. RxJava for Android begineers. Additional burden for clients. The entire ReactiveX ecosystem seems really active, especially in the JS world thanks to Angular. 專案使用 Java; choose StateFlow. map, buffer() ( anyway fewer operators compared to rxJava ). Yesterday I looked back at some old Slack convos from that time and saw myself complaining about Coroutines in favor of RxJava. Dies erleichtert die Kommunikation zwischen ViewModel und Ansicht und reduziert die Anzahl der notwendigen Datenaufrufe und Speicherorte. So, why not combine best of both world and get some cool things out of it? So I don't see point of why I should use LiveData when I can manage everything with RxJava, which has a lot of operators for convenience. But when you use them or other approaches, make sure you are handling the lifecycle properly such that your data streams pause when the related LifecycleOwner is stopped and the streams are destroyed when the LifecycleOwner is destroyed. Pros: Simple and easy to use. 学习曲线： Flow 的概念和 API 相对 LiveData 来说稍微复杂一些，需要一定的学习成本。 与 RxJava 的兼容性： Flow 与 RxJava 的 API 不完全兼容，需要进行一些转换才能相互操作。 RxJava. features. 4k次，点赞3次，收藏2次。LiveData、Kotlin Flow和RxJava三者都属于可观察的数据容器类RxJava是基于观察者模式去实现的响应式编程，可以使用多种操作符进行组合将各种复杂的请求简单化其优点：其缺点：LiveData由Google自2017年推出，LiveData相对RxJava出现较晚，相当于轻量版的RxJava其优点：其 The RxJava implementation is much more concise (32 lines of code VS 56 lines of code in the callback implementation). x with its Flowable base class, but it’s a more significant set than Reactive Streams with several base classes like Flowable, Observable, Single, Completable. 5 min read. In RxJava we had to hide BehaviorSubject behind plain Observable RxJava is conceptualy similar to Android LiveData that was released not so long ago, and to better understand these concepts, as well as event bus, I suggest you read my post. Flow is sort of a reactive stream ( like rxjava ). LiveData. Say that in your repository, you're getting some data from an API with Single Retrofit calls, and transforming it into a UI-ready viewstate object. RxKotlin aims to conservatively collect these conveniences in one centralized library, and standardize conventions for using RxJava with Kotlin. if you are familiar with Rxjava (which has steep learning curve) , flows offers almost the same capabilities along with power of coroutines. LiveData — the Architecture Components’ counterpart to RxJava — is intrinsically lifecycle-aware. Contrary to common belief, there is really no restriction about using only RxJava or LiveData, the two can be used along each other. In this article, you’ll learn what and how to use Livedata & Kotlin flow. LiveData is an observable data holder class. You can use RxJava with Kotlin out-of-the-box, but Kotlin has language features (such as extension functions) that can streamline usage of RxJava even more. For our part, Trello Android is going to start slowly adopting coroutines as a replacement for RxJava. I've spent most of my time learning RxJava but as time goes on I see most people making the switch to coroutines. So, in this blog, we will explore Let's say you have a MVVM app with a UI layer, a ViewModel, and a Repository. Exploring Android ViewPager2 in Android 29th May 2019 As Google introduced a new ViewPager called the ViewPager2 with some cool features like vertical orientation, use of Recycler View and many more. 2. Android Room Persistence Library in Kotlin RxJava vs Flow vs Coroutines So I've recently started learning RxJava and implementing it at work on our Android application to cut down on boilerplate and make things cleaner. 本文比较了LiveData和RxJava两个Android异步数据处理框架，分析了它们的用法、实现原理和优缺点，帮助您选择最适合您项目的框架。 文章浏览阅读1. 更好寫 unit test; 沒有與 Android Context 綁太深，以及可以在 Kotlin coroutines 的基礎上做測試; 更強大的 flow operators; Suspend function vs Flow vs StateFlow vs SharedFlow. I know RxJava still has some operators (like debounce) that are missing on coroutines but it seems like that gap will eventually be closed. But we were already using RxJava in other parts of our codebase, which means that now we had two You can work with Rxjava and make fields observable – SoH. The code follows Clean Architecture RxJava offers more flexibility and supports multi-threading better than LiveData, making it ideal for complex asynchronous operations. Can I do this with Flow?If yes then how? We can have multiple LiveData from a single LiveData using map& switchMap. Compared to RxJava, Android LiveData is also reactive but lifecycle-aware. Flowable as reactive stream compliance component is a flow of 0 to N items with backpressure handling. 구글에서 제작하고 jetpack이라는 이름으로 제공하는 LiveData와 넷플릭스에서 기존에 존재하던 ReactiveX를 자바로 이식한 RxJava라는 두 라이브러리의 가장 큰 공통점은 옵저버 패턴을 사용해 반응형 프로그래밍을 할 수 있도록 도와준다는 점 입니다. Reply reply Similar to liveData, flow helps to write reactive code/modules for layers below presentation (domain /repository and data). 그래서 비동기 데이터 스트림을 다루는 다양한 방법이 필요하지!이번 글에서는 콜백, Future, 코루틴, Flow, RxJava, LiveData를 After observe() is called with nameObserver passed as parameter, onChanged() is immediately invoked providing the most recent value stored in mCurrentName. Livedata vs Rxjava. Cómo extender LiveData. Observable. RxJava supports Reactive Streams since version 2. LiveData is a reactive solution of delivering events to UI in Android. RxJava and Observable on retrofit API call. LiveData 有什么不足? 1. If the LiveData object hasn't set a value in mCurrentName, onChanged() is not called. There are many differences between LiveData and RxJava: LiveData is not a STREAM while in RxJava everything (literally everything) is a STREAM. In previous articles, we discussed how to use the Room persistence library in Android applications. I can observe LiveData from multiple Fragments. For some time now I have been using the new Android Architecture Components (AAC). Convert LiveData to RxJava observable. Update LiveData objects. Of course, the Architecture Components have Lifecycle, LifecycleOwner, and related classes for performing operations when certain lifecycle events occur. LiveData vs Kotlin Flows . I have to spend a lot of time learning and implementing Livedata (especially MediatorLivedata) in business logic because it helps to add data from various sources. For example, it better to use RxJava where there is no view lifecycle available like Repository in the data layer, and keep LiveData in layers that view lifecycle is available like Presentation layer. The Architecture Components team If that's the case, it seems RxJava is not easy to understand and easy to misuse. Both RxJava and LiveData provide similar functionality, such as observing changes to a data source and updating the UI accordingly. Also note that the type emitted by the RxJava stream (in this case, MyDataType) will be the type of the data held by the LiveData. For LiveData even if you give an initial value, you still need to do Null Check when you access its value (see this), it's kind There are not that much significant technical differences between just plain call backs vs LiveData or RxJava. LiveData 的历史要追溯到 2017 年。 彼时，观察者模式有效简化了开发，但诸如 RxJava 一类的库对新手而言有些太过复杂。 Since testing Views is challenging and requires Espresso or Robolectric, I deliberately kept the View very lightweight and passive. The main difference is in the design. flowOn(Dispatcher. RxJava 以下也是 LiveData 的特性，但我不会将其归类为「设计缺陷」或「LiveData 的缺点」。 作为开发者应了解这些特性并在使用过程中正确处理它们。 value 是 nullable 的; 在 fragment 订阅时需要传入正确的 lifecycleOwner; 当 LiveData 持有的数据是「事件」时，可能会遇到「粘性 这意味着当我们想要更新LiveData对象时，我们会经常更改线程（工作线程→主线程）,如果在修改LiveData后又要切换回到工作线程那就更麻烦了,同时postValue可能会有丢数据的问题。. Im Vergleich zu RxJava ist Android LiveData ebenfalls reaktiv, aber lebenszyklusbewusst. In the post I go over these very concepts, describing the scenarios in which we should use one over another and the pros and cons of using one rather than the other. Backpressure handling: Flow provides built-in support for backpressure, allowing control over the rate of data emission and processing, whereas LiveData doesn’t results: LiveData<Foo> errorMessages: LiveData<String> Another option would be to introduce a helper class Result and wrap the results in it: sealed class FooResult { data class Success(val data: Foo) : FooResult() data class Error(val error: Throwable) : FooResult() } results: LiveData<FooResult> LiveData is sticky RxJava has been a lifesaver for me for a long time. So I though of adding an extension function to the RxJava Observable to easily convert them to LiveData. The key differences between them and a real-time example demonstrating the appropriate usage. Android Livedata with RxJava Single not work in Room Database. CoroutineScope == CompositeDisposable. No operators. MVVM으로 코드를 리팩토링하던 중 LiveData와 MutableLiveData라는 이름이 비슷한 두 클래스를 알게 됐다. Android mvvm livedata not observing. However, there are some key differences: We compare LiveData with RxJava, explain the benefits of using MutableLiveData, and provide a practical example project for efficient data management in a RecyclerView. ). 앞에 Mutable이 붙었을 뿐이고 사용법도 비슷하지만 둘의 차이를 알고 넘어가고 싶어서 이 포스팅을 쓰게 됐다. When coming from RxJava and you had constructs with multiple observers it get's slightly more complicated than that, but not more complicated than Rx compositions. However, it still lacks powerful RxJava2 implementation. LiveData vs. For me, the overall argument between the two frameworks is one of maturity vs. When we work on Android projects, all of us need to do API calls, and at times we need to handle multiple network calls. Importantly, what this does is it creates a LiveData object that updates its value any time the LiveData 的使用比较简单，而且功能上对于简单场景也是足够的，而 RxJava 和 Flow 这种东西学起来就没 LiveData 那么直观。 Flow. 官方已经出了rxRoom，DAO中已经可以直接使用RxJava。这里有一个使用LiveData+Room的例子 PDFReader Descripción general de LiveData Para las bases de código compiladas con Java, procura usar ejecutores en conjunto con devoluciones de llamada o RxJava. So, one of the main differences between LiveData and Flow is that you can execute the map computation / transformation in some other thread using. 在 Android 开发中，RxJava 和 LiveData 都是处理异步操作和数据流的常用工具。RxJava 是一个反应式编程库，提供丰富的操作符用于复杂的数据转换和过滤，以及异步事件处理。LiveData 是 Android Architecture Components 的一部分，它与生命周期感知组件集成，简化了数据管理和观察。 In this article, we’re going to explore two popular tools for asynchronous programming in Kotlin: RxJava and Kotlin Flow. So the null value is awkward while converting to RxJava. See LiveData was created especially for Android, so it has these advantages: When a view subscribes to LiveData, it automatically makes sure updates are only given while the view LiveData. However it does feel limited and feel unsure. In. E também sei que o universo de recursos do livedata é muito menor do que o RxJava. 通过相关阅读1这篇文章，是可以知道LiveData是拥有对LifeCycle感知能力的，可以在onStart环节通知观察者数据，并且在onDestory阶段移除观察 I will need to do more asynchronous code and use standart zip merge operators. What would be your opinion? Stick with Livedata or use Livedata vs Rxjava. The way I see it, you have two main choices (assuming you want to use LiveData in the UI layer, I am not including the option of observing It’s worth noticing that both Shared and State flows can be used in mutable form and be exposed as immutables — this concept is well known for anyone using LiveData. If you need the features of both, you might want to consider using RxJava with a As promised, here is an example implementation of an MVVM (Model-View-ViewModel) pattern using the new Dagger API v2. So when should I use LiveData and when RxJava while working with Room. Two-way Databinding with RxJava. It's LiveData vs Google's flawed implementation of lifecycle-aware coroutines. LiveData can pass null value, but the Reactive interface can't. It is aware of a life cycle of the owner and because of that, it is simple to use. You don’t need to LiveData is designed to be simple and easy to use, while RxJava is more powerful and flexible. 11+. The toObservable operator throws an exception when it encounters a null value. 1. LiveData setValue vs postValue in Android We deal with a lot of data in Android. They are stream control tools and RxJava is better at that by many times. The requested data from the API should then be set as the LiveData is a data holder class that can be observed within a given lifecycle. Coroutines will eventually be as mature as RxJava, but RxJava is never going to be able to integrate some of coroutines' best features. choose Suspend function 除了 LiveData 和 Stateflow 之外，还有一些其他的库可以用于数据管理和状态管理，比如 Rxjava、Flow Coroutines。让我们通过代码示例来了解它们的使用方式。 RxJava的响应式编程范式. Unlike a regular observable, LiveData is lifecycle-aware, meaning it respects the lifecycle of other app components, such as Activities, Fragments, or I've been using alot of RxJava Observables converted to LiveData in my code using LiveDataReactiveStreams. qnyr lawp jpcsv vmfqu kwx nbd rpd sgul yhvitmi ibtahto ptlp nqdj ayyzo ujvycds hkywk