I've found that correctly implementing Dependency Injection tends to force programmers to use a variety of other programming practices that help to improve the testability, flexibility, maintainability, and scalability of code: practices like the Single Responsibility Principle, Separations of Concerns, and coding against APIs. It feels like I'm being compelled to write more modular, bite-sized classes and methods, which makes the code easier to read, because it can be taken in bite-sized chunks.

但它也倾向于创建相当大的依赖树，通过框架(特别是如果您使用约定)比手工管理要容易得多。今天我想在LINQPad中快速测试一些东西，我认为创建内核并在我的模块中加载太麻烦了，最后我手写了这个:

var merger = new SimpleWorkflowInstanceMerger(
    new BitFactoryLog(typeof(SimpleWorkflowInstanceMerger).FullName), 
    new WorkflowAnswerRowUtil(
        new WorkflowFieldAnswerEntMapper(),
        new ActivityFormFieldDisplayInfoEntMapper(),
        new FieldEntMapper()),
    new AnswerRowMergeInfoRepository());

回想起来，使用IoC框架会更快，因为模块按照约定定义了几乎所有这些东西。

Having spent some time studying the answers and comments on this question, I am convinced that the people who are opposed to using an IoC container aren't practicing true dependency injection. The examples I've seen are of practices that are commonly confused with dependency injection. Some people are complaining about difficulty "reading" the code. If done correctly, the vast majority of your code should be identical when using DI by hand as when using an IoC container. The difference should reside entirely in a few "launching points" within the application.

换句话说，如果你不喜欢IoC容器，你可能没有按照它应该做的方式来做依赖注入。

另一点:如果你在任何地方都使用反射，依赖注入真的不能手工完成。虽然我讨厌反射对代码导航造成的影响，但您必须认识到，在某些领域，它确实是无法避免的。ASP。例如，NET MVC尝试通过对每个请求的反射来实例化控制器。要手动进行依赖注入，你必须让每个控制器都成为“上下文根”，如下所示:

public class MyController : Controller
{
    private readonly ISimpleWorkflowInstanceMerger _simpleMerger;
    public MyController()
    {
        _simpleMerger = new SimpleWorkflowInstanceMerger(
            new BitFactoryLog(typeof(SimpleWorkflowInstanceMerger).FullName), 
            new WorkflowAnswerRowUtil(
                new WorkflowFieldAnswerEntMapper(),
                new ActivityFormFieldDisplayInfoEntMapper(),
                new FieldEntMapper()),
            new AnswerRowMergeInfoRepository())
    }
    ...
}

现在将其与允许DI框架为你做这件事进行比较:

public MyController : Controller
{
    private readonly ISimpleWorkflowInstanceMerger _simpleMerger;
    public MyController(ISimpleWorkflowInstanceMerger simpleMerger)
    {
        _simpleMerger = simpleMerger;
    }
    ...
}

使用DI框架，注意:

I can unit-test this class. By creating a mock ISimpleWorkflowInstanceMerger, I can test that it gets used the way I anticipate, without the need for a database connection or anything. I use far less code, and the code is much easier to read. If one of my dependency's dependency's changes, I don't have to make any changes to the controller. This is especially nice when you consider that multiple controllers are likely to use some of the same dependencies. I never explicitly reference classes from my data layer. My web application can just include a reference to the project containing the ISimpleWorkflowInstanceMerger interface. This allows me to break the application up into separate modules, and maintain a true multi-tier architecture, which in turn makes things much more flexible.

A typical web application will have quite a few controllers. All of the pain of doing DI by hand in each controller will really add up as your application grows. If you have an application with only one context root, which never tries to instantiate a service by reflection, then this isn't as big a problem. Nevertheless, any application that uses Dependency Injection will become extremely expensive to manage once it reaches a certain size, unless you use a framework of some kind to manage the dependency graph.

As you continue to decouple your classes and invert your dependencies, the classes continue to stay small and the "dependency graph" continues to grow in size. (This isn't bad.) Using basic features of an IoC container makes wiring up all these objects trivial, but doing it manually can get very burdensome. For example, what if I want to create a new instance of "Foo" but it needs a "Bar". And a "Bar" needs an "A", "B", and "C". And each of those need 3 other things, etc etc. (yes, I can't come up with good fake names :) ).

使用IoC容器为您构建对象图可以大大降低复杂性，并将其推到一次性配置中。我只需说“给我创建一个Foo”，它就会计算出构建一个Foo需要什么。

有些人将IoC容器用于更多的基础设施，这对于高级场景来说是很好的，但在这些情况下，我同意它会使新开发人员难以阅读和调试代码。

在我看来，IoC的最大好处是能够集中配置依赖项。

如果你正在使用依赖注入，你的代码可能是这样的

public class CustomerPresenter
{
  public CustomerPresenter() : this(new CustomerView(), new CustomerService())
  {}

  public CustomerPresenter(ICustomerView view, ICustomerService service)
  {
    // init view/service fields
  }
  // readonly view/service fields
}

如果你使用静态IoC类，而不是(恕我直言)更混乱的配置文件，你可以有这样的东西:

public class CustomerPresenter
{
  public CustomerPresenter() : this(IoC.Resolve<ICustomerView>(), IoC.Resolve<ICustomerService>())
  {}

  public CustomerPresenter(ICustomerView view, ICustomerService service)
  {
    // init view/service fields
  }
  // readonly view/service fields
}

然后，你的静态IoC类看起来像这样，我在这里使用Unity。

public static IoC
{
   private static readonly IUnityContainer _container;
   static IoC()
   {
     InitializeIoC();
   }

   static void InitializeIoC()
   {
      _container = new UnityContainer();
      _container.RegisterType<ICustomerView, CustomerView>();
      _container.RegisterType<ICustomerService, CustomerService>();
      // all other RegisterTypes and RegisterInstances can go here in one file.
      // one place to change dependencies is good.
   }
}

我知道这是一个相当老的帖子，但它似乎仍然相当活跃，我想我可以贡献一些在其他回答中没有提到的观点。

我同意依赖注入的好处，但我更喜欢自己构造和管理对象，使用与Maxm007在回答中概述的模式相似的模式。我发现了使用第三方容器的两个主要问题:

1) Having a 3rd party library manage the lifetime of your objects "automagically" can lend itself to unexpected results. We have found that especially in large projects, you can have vastly more copies of an object than you expect, and more than you would if you were manually managing the lifecycles. I'm sure this varies depending on the framework used, but the problem exists nonetheless. This can also be problematic if your object holds resources, data connections, etc., since the object can sometimes live longer than you expect. So inevitably, IoC containers tend to increase the resource utilization and memory footprint of an application.

2) IoC containers, in my opinion, are a form of "black box programming". I have found that in particular, our less experienced developers tend to abuse them. It allows the programmer to not have to think about how objects should relate to each other or how to decouple them, because it provides them with a mechanism in which they can simply grab any object they want out of thin air. Eg, there may be a good design reason that ObjectA should never know about ObjectB directly, but rather than creating a factory or bridge or service locator, an inexperienced programmer will simply say "no problem, I'll just grab ObjectB from the IoC container". This can actually lead to increased object coupling, which is what IoC is supposed to help prevent.

老实说，我没有发现有很多情况需要IoC容器，大多数情况下，它们只是增加了不必要的复杂性。

如果你只是用它来简化对象的构造，我要问，你是否在多个位置实例化了这个对象?单例不适合您的需要吗?您是否在运行时更改配置?(切换数据源类型等)。

如果是，那么您可能需要一个IoC容器。如果不是，那么您只是将初始化移到开发人员容易看到的地方。

谁说接口比继承好?假设您正在测试一个服务。为什么不使用构造函数DI，并使用继承创建依赖关系的模拟呢?我使用的大多数服务只有少数依赖项。以这种方式进行单元测试可以避免维护大量无用的接口，也意味着您不必使用Resharper来快速查找方法的声明。

我相信对于大多数实现来说，说IoC容器删除不需要的代码是一个神话。

首先，首先要设置容器。然后，您仍然必须定义需要初始化的每个对象。所以在初始化时不保存代码，而是移动它(除非你的对象被使用了不止一次)。单例是否更好?)然后，对于以这种方式初始化的每个对象，都必须创建和维护一个接口。

有人有什么想法吗?

因为所有的依赖关系都是清晰可见的，所以它可以促进创建松散耦合的组件，同时在整个应用程序中易于访问和重用。