

Val doggosPagingFlow = Pager(PagingConfig(pageSize = 10)) Ĭonfig = PagingConfig(pageSize = NETWORK_PAGE_SIZE), The best place for this would be in a ViewModel, using the viewModelScope: The caching should be done as close to the UI layer as possible, but not in the UI layer, as we want to make sure it persists beyond configuration change. That way if you implement any transformations on the data stream, they will not be triggered again each time you collect the flow after Activity recreation. Flow has a handy cachedIn() method that makes the data stream shareable and allows you to cache the content of a Flow in a CoroutineScope. In your ViewModel you construct the Pager object and expose a Flow to the UI.
#Android studio recyclerview rxjava how to
To build a stream of PagingData create a Pager instance, using a PagingConfig configuration object and a function that tells the Pager how to get an instance of your PagingSource implementation. A new instance of PagingData is created every time your data is refreshed. The container for paginated data is called PagingData. Val response = backend.getDoggos(nextPageNumber) This is a suspend function, so you can call other suspend functions here, such as the network call: Implement load() to retrieve paged data from your data source and return the loaded data together with information about next and previous keys.

The PagingSource should be part of the repository layer.

#Android studio recyclerview rxjava android
The Paging library integrates directly into the recommended Android app architecture in each layer of your app: For examples in the Java programming language using LiveData/RxJava, check out the documentation. The following examples will be in Kotlin, using coroutines. Let’s go over the Paging components we need to implement and how they fit into your app architecture. We get the doggos from a GoodDoggos API that supports index-based pagination. Let’s say that we’re implementing an app that displays all the good doggos. We also made several Paging 3 components backwards compatible with Paging 2.0 so if you already use Paging in your app, you can migrate incrementally. Simplifies data caching, ensuring that you’re not executing data transformations at every configuration change.Provides an easy way of implementing list separators.Enables common operations like map or filter on the list to be displayed, independently of whether you’re using Flow, LiveData, or RxJava Flowable or Observable.Tracks loading state and allows you to display it in a RecyclerView list item or elsewhere in your UI, and provides easy retry functionality for failed loads.Ensures that multiple requests aren’t triggered at the same time.

