我试图在工作中引入依赖注入(DI)模式,我们的一位主要开发人员想知道:如果有的话,使用依赖注入模式的缺点是什么?

注意,如果可能的话,我在这里寻找一个详尽的列表,而不是关于这个主题的主观讨论。


澄清:我谈论的是依赖注入模式(参见Martin Fowler的这篇文章),而不是特定的框架,无论是基于xml的(如Spring)还是基于代码的(如Guice),还是“自滚动”的框架。


Reddit的subreddit /r/programming上正在进行一些深入的讨论/咆哮/辩论。


当前回答

基于构造函数的依赖注入(没有神奇的“框架”的帮助)是构造OO代码的一种干净而有益的方式。在我所见过的最好的代码库中,经过多年与Martin Fowler的其他前同事的相处,我开始注意到大多数以这种方式编写的优秀类最终都只有一个doSomething方法。

那么,主要的缺点是,一旦您意识到这只是一种笨拙的、冗长的OO方式,将闭包编写为类,以获得函数式编程的好处,那么您编写OO代码的动机就会迅速消失。

其他回答

仅仅通过实现依赖注入就实现了代码的解耦,而没有实际解耦。我认为这是DI最危险的地方。

有一件事让我对DI有点不安,那就是假设所有注入的对象都很容易实例化,而且不会产生副作用- or -依赖关系被频繁使用,以至于它超过了任何相关的实例化成本。

当依赖项在消费类中不经常使用时,这一点可能很重要;比如IExceptionLogHandlerService。显然,这样的服务很少在类中调用(希望:))——大概只在需要记录异常时调用;然而,规范的构造器-注入模式……

Public Class MyClass
    Private ReadOnly mExLogHandlerService As IExceptionLogHandlerService

    Public Sub New(exLogHandlerService As IExceptionLogHandlerService)
        Me.mExLogHandlerService = exLogHandlerService
    End Sub

    ' ...
End Class

...要求提供该服务的“活动”实例,该死的成本/副作用。并不是说它可能会这样做,但是如果构建这个依赖实例涉及到服务/数据库命中,或配置文件查找,或在释放之前锁定资源,该怎么办呢?如果该服务是按需构建的、服务定位的或工厂生成的(它们都有各自的问题),那么您将只在必要时才承担构建成本。

Now, it is a generally accepted software design principle that constructing an object is cheap and doesn't produce side-effects. And while that's a nice notion, it isn't always the case. Using typical constructor-injection however basically demands that this is the case. Meaning when you create an implementation of a dependency, you have to design it with DI in mind. Maybe you would have made object-construction more costly to obtain benefits elsewhere, but if this implementation is going to be injected, it will likely force you to reconsider that design.

顺便说一下,某些技术可以通过允许延迟加载注入的依赖项来缓解这个问题,例如,提供一个Lazy<IService>实例类作为依赖项。这将改变依赖对象的构造函数,并使其更加了解实现细节,例如对象构造开销,这也可以说是不可取的。

控制反转(不是完全依赖注入,但已经足够接近了)最大的“缺点”是,它倾向于去掉一个点来查看一个算法的概述。这基本上就是当你有解耦的代码时所发生的事情——在一个地方查看的能力是紧密耦合的产物。

在过去的6个月里,我一直在广泛使用Guice (Java DI框架)。虽然总的来说我认为它很棒(特别是从测试的角度来看),但也有一些缺点。最值得注意的是:

Code can become harder to understand. Dependency injection can be used in very... creative... ways. For example I just came across some code that used a custom annotation to inject a certain IOStreams (eg: @Server1Stream, @Server2Stream). While this does work, and I'll admit has a certain elegance, it makes understanding the Guice injections a prerequisite to understanding the code. Higher learning curve when learning project. This is related to point 1. In order to understand how a project that uses dependency injection works, you need to understand both the dependency injection pattern and the specific framework. When I started at my current job I spent quite a few confused hours groking what Guice was doing behind the scenes. Constructors become large. Although this can be largely resolved with a default constructor or a factory. Errors can be obfuscated. My most recent example of this was I had a collision on 2 flag names. Guice swallowed the error silently and one of my flags wasn't initialized. Errors are pushed to run-time. If you configure your Guice module incorrectly (circular reference, bad binding, ...) most of the errors are not uncovered during compile-time. Instead, the errors are exposed when the program is actually run.

既然我已经抱怨过了。让我说,我将继续在我当前的项目中(很可能是在下一个项目中)使用Guice。依赖注入是一种非常强大的模式。但它肯定会让人困惑,无论你选择什么依赖注入框架,你几乎肯定会花一些时间咒骂。

另外,我同意其他发帖者的观点,依赖注入可能被过度使用。

If you're using DI without an IoC container, the biggest downside is you quickly see how many dependencies your code actually has and how tightly coupled everything really is. ("But I thought it was a good design!") The natural progression is to move towards an IoC container which can take a little bit of time to learn and implement (not nearly as bad as the WPF learning curve, but it's not free either). The final downside is some developers will begin to write honest to goodness unit tests and it will take them time to figure it out. Devs who could previously crank something out in half a day will suddenly spend two days trying to figure out how to mock all of their dependencies.

类似于马克·西曼(Mark Seemann)的回答(现已删除;只有超过1万个声誉点),底线是你花时间成为一个更好的开发人员,而不是把代码拼凑在一起,然后把它扔出去/投入生产。你的企业更愿意选择哪一种?只有你能回答这个问题。