Redux is an amazing tool if you take the time to get to know it. One of the things about Redux that commonly trips people up is that reducers must be pure functions.
A pure function is a function which:
- Given same arguments, always returns the same result, and
- Has no side-effects (e.g., it won’t mutate its input arguments).
The problem is that sometimes a reducer needs to make a complicated change to some input state, but you can’t just mutate the state argument without causing bugs.
The solution is a handy tool called Immer . In this video, I’ll introduce you to Immer and show you how to use it to reduce the complexity of your reducer code. With one or two small reducers, the difference is pretty subtle, but on a large project, it can significantly simplify your application code.
Here’s an example. Imagine you’re building a social network, and you need to keep track of posts that a user has liked. When they like a post, you add a like object to the user’s likes collection. That might look something like this:
Notice what we’re returning from the like.type
case: Mixing bits of the payload into a nested property of the state object using the JavaScript object spread syntax: ...state
and ...state.likes
on lines 19–25.
After immer, you can simplify that part to a one-liner (line 21):
The produce
function returns a partial application (a function which has been partially applied to its arguments) which then takes the arguments of the reducer function. You pass it a callback function which takes a draft
of the state object instead of the real state object. You’re free to mutate that object as if it were any other mutable object in JavaScript. No more spreading nested properties to avoid mutating the input argument.
After your callback function runs, Immer compares the draft to the original state and then builds a new object with your changes applied, so your function feels like it’s mutating, but still behaves like a pure function. You get the best of both worlds: The simplicity of mutation with the benefits of immutability.
Next Steps
EricElliottJS.com has in-depth lessons on topics like pure functions, immutability, partial applications, and other functional and object oriented programming concepts.
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计算机程序的构造和解释
Harold Abelson、Gerald Jay Sussman、Julie Sussman / 裘宗燕 / 机械工业出版社 / 2004-2 / 45.00元
《计算机程序的构造和解释(原书第2版)》1984年出版,成型于美国麻省理工学院(MIT)多年使用的一本教材,1996年修订为第2版。在过去的二十多年里,《计算机程序的构造和解释(原书第2版)》对于计算机科学的教育计划产生了深刻的影响。第2版中大部分重要程序设计系统都重新修改并做过测试,包括各种解释器和编译器。作者根据其后十余年的教学实践,还对其他许多细节做了相应的修改。 海报:一起来看看 《计算机程序的构造和解释》 这本书的介绍吧!