Immutable Update Patterns
The articles listed in Prerequisite Concepts#Immutable Data Management give a number of good examples for how to perform basic update operations immutably, such as updating a field in an object or adding an item to the end of an array. However, reducers will often need to use those basic operations in combination to perform more complicated tasks. Here are some examples for some of the more common tasks you might have to implement.
Updating Nested Objects
The key to updating nested data is that every level of nesting must be copied and updated appropriately. This is often a difficult concept for those learning Redux, and there are some specific problems that frequently occur when trying to update nested objects. These lead to accidental direct mutation, and should be avoided.
Common Mistake #1: New variables that point to the same objects
Defining a new variable does not create a new actual object - it only creates another reference to the same object. An example of this error would be:
This function does correctly return a shallow copy of the top-level state object, but because the nestedState
variable was still pointing at the existing object, the state was directly mutated.
Common Mistake #2: Only making a shallow copy of one level
Another common version of this error looks like this:
Doing a shallow copy of the top level is not sufficient - the nestedState
object should be copied as well.
Correct Approach: Copying All Levels of Nested Data
Unfortunately, the process of correctly applying immutable updates to deeply nested state can easily become verbose and hard to read. Here's what an example of updating state.first.second[someId].fourth
might look like:
Obviously, each layer of nesting makes this harder to read, and gives more chances to make mistakes. This is one of several reasons why you are encouraged to keep your state flattened, and compose reducers as much as possible.
Inserting and Removing Items in Arrays
Normally, a Javascript array's contents are modified using mutative functions like push
, unshift
, and splice
. Since we don't want to mutate state directly in reducers, those should normally be avoided. Because of that, you might see "insert" or "remove" behavior written like this:
However, remember that the key is that the original in-memory reference is not modified. As long as we make a copy first, we can safely mutate the copy. Note that this is true for both arrays and objects, but nested values still must be updated using the same rules.
This means that we could also write the insert and remove functions like this:
The remove function could also be implemented as:
Updating an Item in an Array
Updating one item in an array can be accomplished by using Array.map
, returning a new value for the item we want to update, and returning the existing values for all other items:
Immutable Update Utility Libraries
Because writing immutable update code can become tedious, there are a number of utility libraries that try to abstract out the process. These libraries vary in APIs and usage, but all try to provide a shorter and more succinct way of writing these updates. For example, Immer makes immutable updates a simple function and plain JavaScript objects:
Some, like dot-prop-immutable, take string paths for commands:
Others, like immutability-helper (a fork of the now-deprecated React Immutability Helpers addon), use nested values and helper functions:
They can provide a useful alternative to writing manual immutable update logic.
A list of many immutable update utilities can be found in the Immutable Data#Immutable Update Utilities section of the Redux Addons Catalog.
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