--- id: reconciliation title: Reconciliation permalink: docs/reconciliation.html --- 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. ## Motivation 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](http://grfia.dlsi.ua.es/ml/algorithms/references/editsurvey_bille.pdf) 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. ## 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. ### 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 `` to ``, or from `
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