repeatWhen and retryWhen are fairly baffling at first glance. For starters, they are serious contenders for "most confusing marble diagrams": They're useful operators: they allow you to conditionally resubscribe to Observables that have terminated. I recently studied how they worked and I want to try to explain them (since it took me a while to grasp). Repeat vs. Retry First of all, what is the di
Suppose I have some Data that I query from the network. I could simply hit the network each time I need the data, but caching the data on disk and in memory would be much more efficient. More specifically, I want a setup that: Occasionally performs queries from the network for fresh data. Retrieves data as quickly as possible otherwise (by caching network results). I'd like to present an implement
みじかくまとめ RxJavaとAndroid Data Bindingを連携してMVVMするライブラリを作りました→RxProperty Android （2017/02/09 v3.0.0バージョンアップに伴い編集） はじめに Android標準の非同期処理の面倒さから、Android開発にRxJavaを導入する方が増えています。 実際にRxJavaを使用してみると、非同期処理のみならずイベントや各層のI/Fなど、ありとあらゆるものをストリームとして表現したくなると思います。 その結果、ストリーム末尾のsubscribeはほとんどがView操作となり、エミットされた値をセットするだけのような単純な処理を繰り返すことになります。 当然「io.reactivex.Observableに流れてきた値がそのままViewに反映されないかな」との発想が生じますが、Android Data Bindi
At ribot, we started using RxJava a few months ago and now it’s become a core element in the architecture of the Android apps we create. There are many benefits that come with it, but the learning curve is steep and quite often we still find ourselves trying to get our heads around those “beautiful” diagrams that explain how operators work. The first step to rx-ify our architecture was to change t
About UsWe are a software company on a mission to provide the most innovative companies with the most innovative solutions. Our story.Stable Kernel is a digital transformation company based in Atlanta, GA. We have a track record of helping our partners solve their biggest challenges on their digital journey, whether they need insights or implementation. Every day, millions of people rely on softwa
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