Data layer
Switching from one service provider to another (key partner) is easy if your app is well structured. Use a separate layer for accessing data and define contracts for the communication between your data layers and your controllers. Contracts are known as an interface (for Android) or as a protocol (for iOS). They contain no implementation and are nothing but appointments between one class and another. They define what methods are available, what parameters are required, and what the result type will be.
For example, let's say we are getting data from some kind of source. In the interface IRepository, we will define the names, results, and parameters for all methods that represent some operation. To be more precise, let's say we want to retrieve company news that we have stored somewhere in the cloud. It could be at Parse server (at Back4App or elsewhere), Amazon, Azure, or Firebase, it does not really matter where and how exactly we will get this data. Since it is an interface, we do not have to care about the actual implementation yet.
For Android, it could look like this:
public interface IRepository{ public void getNews(OnRepositoryResult handler, GetNewsRequest request);
For IOS, it looks like this (in Swift 2.x):
protocol RepositoryProtocol { func getNews(handler: RepositoryResultDelegate, request: GetNewsRequest)
The data layer classes that implement this interface or protocol will perform the actual job. They will retrieve the data from a remote data source.
For example, the Android implementation begins like this:
public class RemoteRepository implements IRepository { ... @Override public void getNews(OnRepositoryResult handler, GetNewsRequest request) { // Get data asynchronously and return the result }
While the IOS implementation begins like this:
public class RemoteRepository: RepositoryProtocol { ... func getNews(handler: RepositoryResultDelegate, request: GetNewsRequest){
In Chapter 8, Cloud Solutions for App Experiments, we will see what an implementation with Firebase will look like.
The data layer could also obtain the data from locally mocked or stubbed data. You can easily switch between the different sources. This makes it a great solution for testing purposes too.
- Python絕技:運用Python成為頂級數據工程師
- Unity 5.x Game AI Programming Cookbook
- SQL Server 2008數據庫應用技術(第二版)
- 虛擬化與云計算
- 計算機信息技術基礎實驗與習題
- 數據結構與算法(C語言版)
- 算法與數據中臺:基于Google、Facebook與微博實踐
- Learn Unity ML-Agents:Fundamentals of Unity Machine Learning
- Sybase數據庫在UNIX、Windows上的實施和管理
- Microsoft Power BI數據可視化與數據分析
- Python金融實戰
- 網站數據庫技術
- Solaris操作系統原理實驗教程
- Augmented Reality using Appcelerator Titanium Starter
- Visual FoxPro數據庫技術基礎