The producer will emit the next value if a consumer has collected(consumed) the previous value. In this example, we are collecting even numbers from an integer list from 1 to 5, i.e. collect, flow won't emit computed values. To get data stream values in the stream, we use. Step 3: Creating a consumerĬonsumers mainly act as UI to get fetched data and display it on the screen. As flow is cold, intermediate operations for flow won't apply or start until we call the. Here filter operator is fetching one by one from a list of integer values and filtering them to an even integer list. Sequential data streams can be modified through intermediate operators like 'map', 'filter', etc.

However, along with the producer there should be the consumer to collect emitted values. The emitted values must be of the same type, i.e. The 'suspend function' is not necessarily needed for the producer. Here we have used 'suspend function' for the flow builder. The producer acts as Data Repository or View Model to emit the values to the network or the database. Each emitted value is processed by all the intermediate operators from upstream to downstream before it gets delivered to terminal operators. We receive the data once we start to collect it. As the names suggest, a producer emits values while the consumer receives the values. Kotlin Flow can emit multiple values sequentially and returns a single value in the background thread using suspend functions which consist of a producer and a consumer. We started shifting to Kotlin Flow recently, as it has some benefits over LiveData and RxJava. We were using LiveData for Reactive Programming previously in Halodoc. We will explain how Kotlin flow is better compared to these two libraries. We will compare Kotlin flow with other reactive programming libraries such as LiveData and RxJava. Kotlin flow is a candidate in this use case.

Developers should handle asynchronous programming logic to real-time updates without blocking any in-app events. The system will trigger the broadcast receivers, forward intents, and recreate your UI on each configuration change. Information can flow asynchronously through your app, from multiple sources. The Android platform is asynchronous by nature.

Reactive programming with kotlin