曹楠的博客中已经有详细准确翻译【翻译】Reconciliation React比对算法,下面是个人学习记录。

React provides a declarative API so that you don’t have to worry about exactly what changes on every update. This makes writing applications a lot easier, but it might not be obvious how this is implemented within React. This article explains the choices we made in React’s “diffing” algorithm so that component updates are predictable while being fast enough for high-performance apps.



When you use React, at a single point in time you can think of the render() function as creating a tree of React elements. On the next state or props update, that render() function will return a different tree of React elements. React then needs to figure out how to efficiently update the UI to match the most recent tree.


There are some generic solutions to this algorithmic problem of generating the minimum number of operations to transform one tree into another. However, the state of the art algorithms have a complexity in the order of O(n3) where n is the number of elements in the tree.


If we used this in React, displaying 1000 elements would require in the order of one billion comparisons. This is far too expensive. Instead, React implements a heuristic O(n) algorithm based on two assumptions:

  1. Two elements of different types will produce different trees.
  2. The developer can hint at which child elements may be stable across different renders with a key prop.

In practice, these assumptions are valid for almost all practical use cases.


  1. 两个不同类型的元素会产生两个不同的树;
  2. 开发者可以设置key属性来唯一标识一个子元素。


差异比较算法(The Diffing Algorithm)

When diffing two trees, React first compares the two root elements. The behavior is different depending on the types of the root elements.


元素类型不同(Elements Of Different Types)

Whenever the root elements have different types, React will tear down the old tree and build the new tree from scratch. Going from <a> to <img>, or from <Article> to <Comment>, or from <Button> to <div> - any of those will lead to a full rebuild.


When tearing down a tree, old DOM nodes are destroyed. Component instances receive componentWillUnmount(). When building up a new tree, new DOM nodes are inserted into the DOM. Component instances receive componentWillMount() and then componentDidMount(). Any state associated with the old tree is lost.


Any components below the root will also get unmounted and have their state destroyed. For example, when diffing:


  <Counter />

  <Counter />

This will destroy the old Counter and remount a new one.


DOM元素类型相同(DOM Elements Of The Same Type)

When comparing two React DOM elements of the same type, React looks at the attributes of both, keeps the same underlying DOM node, and only updates the changed attributes. For example:

当对比的两个React DOM元素类型相同时,React会保留相同的底层DOM元素,将属性进行对比并更新变化的特性。比如:

<div className="before" title="stuff" />

<div className="after" title="stuff" />

By comparing these two elements, React knows to only modify the className on the underlying DOM node.


When updating style, React also knows to update only the properties that changed. For example:


<div style={{color: 'red', fontWeight: 'bold'}} />

<div style={{color: 'green', fontWeight: 'bold'}} />

When converting between these two elements, React knows to only modify the color style, not the fontWeight.


After handling the DOM node, React then recurses on the children.


组件元素类型相同(Component Elements Of The Same Type)

When a component updates, the instance stays the same, so that state is maintained across renders. React updates the props of the underlying component instance to match the new element, and calls componentWillReceiveProps() and componentWillUpdate() on the underlying instance.


Next, the render() method is called and the diff algorithm recurses on the previous result and the new result.


递归子元素(Recursing On Children)

By default, when recursing on the children of a DOM node, React just iterates over both lists of children at the same time and generates a mutation whenever there’s a difference.


For example, when adding an element at the end of the children, converting between these two trees works well:




React will match the two <li>first</li> trees, match the two <li>second</li> trees, and then insert the <li>third</li> tree.


If you implement it naively, inserting an element at the beginning has worse performance. For example, converting between these two trees works poorly:




React will mutate every child instead of realizing it can keep the <li>Duke</li> and <li>Villanova</li> subtrees intact. This inefficiency can be a problem.



In order to solve this issue, React supports a key attribute. When children have keys, React uses the key to match children in the original tree with children in the subsequent tree. For example, adding a key to our inefficient example above can make the tree conversion efficient:


  <li key="2015">Duke</li>
  <li key="2016">Villanova</li>

  <li key="2014">Connecticut</li>
  <li key="2015">Duke</li>
  <li key="2016">Villanova</li>

Now React knows that the element with key '2014' is the new one, and the elements with the keys '2015' and '2016' have just moved.


In practice, finding a key is usually not hard. The element you are going to display may already have a unique ID, so the key can just come from your data:

实际上,找到这样一个key特性通常情况下并不难。如果将要渲染的元素包含一个Unique ID,直接如下使用这个ID即可:

<li key={item.id}>{item.name}</li>

When that’s not the case, you can add a new ID property to your model or hash some parts of the content to generate a key. The key only has to be unique among its siblings, not globally unique.


As a last resort, you can pass item’s index in the array as a key. This can work well if the items are never reordered, but reorders will be slow.



It is important to remember that the reconciliation algorithm is an implementation detail. React could rerender the whole app on every action; the end result would be the same. We are regularly refining the heuristics in order to make common use cases faster.


In the current implementation, you can express the fact that a subtree has been moved amongst its siblings, but you cannot tell that it has moved somewhere else. The algorithm will rerender that full subtree.


Because React relies on heuristics, if the assumptions behind them are not met, performance will suffer.

  1. The algorithm will not try to match subtrees of different component types. If you see yourself alternating between two component types with very similar output, you may want to make it the same type. In practice, we haven’t found this to be an issue.

  2. Keys should be stable, predictable, and unique. Unstable keys (like those produced by Math.random()) will cause many component instances and DOM nodes to be unnecessarily recreated, which can cause performance degradation and lost state in child components.


  1. 该算法不会尝试匹配不同组件类型的子树。如果发现两个组件的输出结果非常相似,可以尝试将两者合并为同一个类型。实际上,目前还没有发现这个原因导致的性能问题。
  2. Key应该是标准的,可预期的,并且唯一的。不标准的Key(比如Math.random()产生的)将导致很多不必要的组件实例和DOM节点被创建,这会导致性能下降和子组件的状态丢失。