Continuing a Session Vs Dependency Injection

Dependency injection (DI) is a technique widely used in programming and well suited to Android development. By following the principles of DI, you lay the groundwork for good app architecture.

Implementing dependency injection provides you with the following advantages:

• Reusability of code
• Ease of refactoring
• Ease of testing

Fundamentals of dependency injection

Before covering dependency injection in Android specifically, this page provides a more general overview of how dependency injection works.

What is dependency injection?

Classes often require references to other classes. For example, a Car class might need a reference to an Engine class. These required classes are called dependencies, and in this example the Car class is dependent on having an instance of the Engine class to run.

There are three ways for a class to get an object it needs:

1. The class constructs the dependency it needs. In the example above, Car would create and initialize its own instance of Engine.
2. Grab it from somewhere else. Some Android APIs, such as Context getters and getSystemService(), work this way.
3. Have it supplied as a parameter. The app can provide these dependencies when the class is constructed or pass them in to the functions that need each dependency. In the example above, the Car constructor would receive Engine as a parameter.

The third option is dependency injection! With this approach you take the dependencies of a class and provide them rather than having the class instance obtain them itself.

Here's an example. Without dependency injection, representing a Car that creates its own Engine dependency in code looks like this:

Kotlin

class Car {      private val engine = Engine()      fun start() {         engine.start()     } }  fun main(args: Array) {     val car = Car()     car.start() }                          

Java

class Car {      private Engine engine = new Engine();      public void start() {         engine.start();     } }   class MyApp {     public static void main(String[] args) {         Car car = new Car();         car.start();     } }            

This is not an example of dependency injection because the Car class is constructing its own Engine. This can be problematic because:

• Car and Engine are tightly coupled - an instance of Car uses one type of Engine, and no subclasses or alternative implementations can easily be used. If the Car were to construct its own Engine, you would have to create two types of Car instead of just reusing the same Car for engines of type Gas and Electric.

• The hard dependency on Engine makes testing more difficult. Car uses a real instance of Engine, thus preventing you from using a test double to modify Engine for different test cases.

What does the code look like with dependency injection? Instead of each instance of Car constructing its own Engine object on initialization, it receives an Engine object as a parameter in its constructor:

Kotlin

class Car(private val engine: Engine) {     fun start() {         engine.start()     } }  fun main(args: Array) {     val engine = Engine()     val car = Car(engine)     car.start() }                          

Java

class Car {      private final Engine engine;      public Car(Engine engine) {         this.engine = engine;     }      public void start() {         engine.start();     } }   class MyApp {     public static void main(String[] args) {         Engine engine = new Engine();         Car car = new Car(engine);         car.start();     } }            

The main function uses Car. Because Car depends on Engine, the app creates an instance of Engine and then uses it to construct an instance of Car. The benefits of this DI-based approach are:

• Reusability of Car. You can pass in different implementations of Engine to Car. For example, you might define a new subclass of Engine called ElectricEngine that you want Car to use. If you use DI, all you need to do is pass in an instance of the updated ElectricEngine subclass, and Car still works without any further changes.

• Easy testing of Car. You can pass in test doubles to test your different scenarios. For example, you might create a test double of Engine called FakeEngine and configure it for different tests.

There are two major ways to do dependency injection in Android:

• Constructor Injection. This is the way described above. You pass the dependencies of a class to its constructor.

• Field Injection (or Setter Injection). Certain Android framework classes such as activities and fragments are instantiated by the system, so constructor injection is not possible. With field injection, dependencies are instantiated after the class is created. The code would look like this:

Kotlin

class Car {     lateinit var engine: Engine      fun start() {         engine.start()     } }  fun main(args: Array) {     val car = Car()     car.engine = Engine()     car.start() }                          

Java

class Car {      private Engine engine;      public void setEngine(Engine engine) {         this.engine = engine;     }      public void start() {         engine.start();     } }  class MyApp {     public static void main(String[] args) {         Car car = new Car();         car.setEngine(new Engine());         car.start();     } }            

Automated dependency injection

In the previous example, you created, provided, and managed the dependencies of the different classes yourself, without relying on a library. This is called dependency injection by hand, or manual dependency injection. In the Car example, there was only one dependency, but more dependencies and classes can make manual injection of dependencies more tedious. Manual dependency injection also presents several problems:

• For big apps, taking all the dependencies and connecting them correctly can require a large amount of boilerplate code. In a multi-layered architecture, in order to create an object for a top layer, you have to provide all the dependencies of the layers below it. As a concrete example, to build a real car you might need an engine, a transmission, a chassis, and other parts; and an engine in turn needs cylinders and spark plugs.

• When you're not able to construct dependencies before passing them in — for example when using lazy initializations or scoping objects to flows of your app — you need to write and maintain a custom container (or graph of dependencies) that manages the lifetimes of your dependencies in memory.

There are libraries that solve this problem by automating the process of creating and providing dependencies. They fit into two categories:

• Reflection-based solutions that connect dependencies at runtime.

• Static solutions that generate the code to connect dependencies at compile time.

Dagger is a popular dependency injection library for Java, Kotlin, and Android that is maintained by Google. Dagger facilitates using DI in your app by creating and managing the graph of dependencies for you. It provides fully static and compile-time dependencies addressing many of the development and performance issues of reflection-based solutions such as Guice.

Alternatives to dependency injection

An alternative to dependency injection is using a service locator. The service locator design pattern also improves decoupling of classes from concrete dependencies. You create a class known as the service locator that creates and stores dependencies and then provides those dependencies on demand.

Kotlin

object ServiceLocator {     fun getEngine(): Engine = Engine() }  class Car {     private val engine = ServiceLocator.getEngine()      fun start() {         engine.start()     } }  fun main(args: Array) {     val car = Car()     car.start() }                          

Java

class ServiceLocator {      private static ServiceLocator instance = null;      private ServiceLocator() {}      public static ServiceLocator getInstance() {         if (instance == null) {             synchronized(ServiceLocator.class) {                 instance = new ServiceLocator();             }         }         return instance;     }      public Engine getEngine() {         return new Engine();     } }  class Car {      private Engine engine = ServiceLocator.getInstance().getEngine();      public void start() {         engine.start();     } }  class MyApp {     public static void main(String[] args) {         Car car = new Car();         car.start();     } }            

The service locator pattern is different from dependency injection in the way the elements are consumed. With the service locator pattern, classes have control and ask for objects to be injected; with dependency injection, the app has control and proactively injects the required objects.

Compared to dependency injection:

• The collection of dependencies required by a service locator makes code harder to test because all the tests have to interact with the same global service locator.

• Dependencies are encoded in the class implementation, not in the API surface. As a result, it's harder to know what a class needs from the outside. As a result, changes to Car or the dependencies available in the service locator might result in runtime or test failures by causing references to fail.

• Managing lifetimes of objects is more difficult if you want to scope to anything other than the lifetime of the entire app.

Use Hilt in your Android app

Hilt is Jetpack's recommended library for dependency injection in Android. Hilt defines a standard way to do DI in your application by providing containers for every Android class in your project and managing their lifecycles automatically for you.

Hilt is built on top of the popular DI library Dagger to benefit from the compile time correctness, runtime performance, scalability, and Android Studio support that Dagger provides.

To learn more about Hilt see Dependency Injection with Hilt.

Conclusion

Dependency injection provides your app with the following advantages:

• Reusability of classes and decoupling of dependencies: It's easier to swap out implementations of a dependency. Code reuse is improved because of inversion of control, and classes no longer control how their dependencies are created, but instead work with any configuration.

• Ease of refactoring: The dependencies become a verifiable part of the API surface, so they can be checked at object-creation time or at compile time rather than being hidden as implementation details.

• Ease of testing: A class doesn't manage its dependencies, so when you're testing it, you can pass in different implementations to test all of your different cases.

To fully understand the benefits of dependency injection, you should try it manually in your app as shown in Manual dependency injection.

Additional resources

Dependency Injection - Wikipedia

nicholsonlabody.blogspot.com

Source: https://developer.android.com/training/dependency-injection

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