Immutable collections for JavaScript
Immutable data cannot be changed once created, leading to much simpler
application development, no defensive copying, and enabling advanced memoization
and change detection techniques with simple logic. Persistent data presents
a mutative API which does not update the data in-place, but instead always
yields new updated data.
Immutable.js provides many Persistent Immutable data structures including:
List
, Stack
, Map
, OrderedMap
, Set
, OrderedSet
and Record
.
These data structures are highly efficient on modern JavaScript VMs by using
structural sharing via hash maps tries and vector tries as popularized
by Clojure and Scala, minimizing the need to copy or cache data.
Immutable.js also provides a lazy Seq
, allowing efficient
chaining of collection methods like map
and filter
without creating
intermediate representations. Create some Seq
with Range
and Repeat
.
Want to hear more? Watch the presentation about Immutable.js:
Getting started
Install immutable
using npm.
npm install immutable
Then require it into any module.
const { Map } = require('immutable')
const map1 = Map({ a: 1, b: 2, c: 3 })
const map2 = map1.set('b', 50)
map1.get('b')
map2.get('b')
Browser
To use Immutable.js from a browser, download dist/immutable.min.js
or use a CDN such as CDNJS
or jsDelivr.
Then, add it as a script tag to your page:
<script src="immutable.min.js"></script>
<script>
var map1 = Immutable.Map({a:1, b:2, c:3});
var map2 = map1.set('b', 50);
map1.get('b');
map2.get('b');
</script>
Or use an AMD loader (such as RequireJS):
require(['./immutable.min.js'], function (Immutable) {
var map1 = Immutable.Map({a:1, b:2, c:3});
var map2 = map1.set('b', 50);
map1.get('b');
map2.get('b');
});
If you're using webpack or
browserify, the immutable
npm module also works
from the browser.
Flow & TypeScript
Use these Immutable collections and sequences as you would use native
collections in your Flowtype or TypeScript programs while still taking
advantage of type generics, error detection, and auto-complete in your IDE.
Installing immutable
via npm brings with it type definitions for Flow (v0.39.0 or higher)
and TypeScript (v2.1.0 or higher), so you shouldn't need to do anything at all!
Using TypeScript with Immutable.js v4
Immutable.js type definitions embrace ES2015. While Immutable.js itself supports
legacy browsers and environments, its type definitions require TypeScript's 2015
lib. Include either "target": "es2015"
or "lib": "es2015"
in your
tsconfig.json
, or provide --target es2015
or --lib es2015
to the
tsc
command.
import { Map } from "immutable";
const map1 = Map({ a: 1, b: 2, c: 3 });
const map2 = map1.set('b', 50);
map1.get('b');
map2.get('b');
Using TypeScript with Immutable.js v3 and earlier:
Previous versions of Immutable.js include a reference file which you can include
via relative path to the type definitions at the top of your file.
import Immutable = require('immutable');
var map1: Immutable.Map<string, number>;
map1 = Immutable.Map({a:1, b:2, c:3});
var map2 = map1.set('b', 50);
map1.get('b');
map2.get('b');
The case for Immutability
Much of what makes application development difficult is tracking mutation and
maintaining state. Developing with immutable data encourages you to think
differently about how data flows through your application.
Subscribing to data events throughout your application creates a huge overhead of
book-keeping which can hurt performance, sometimes dramatically, and creates
opportunities for areas of your application to get out of sync with each other
due to easy to make programmer error. Since immutable data never changes,
subscribing to changes throughout the model is a dead-end and new data can only
ever be passed from above.
This model of data flow aligns well with the architecture of React
and especially well with an application designed using the ideas of Flux.
When data is passed from above rather than being subscribed to, and you're only
interested in doing work when something has changed, you can use equality.
Immutable collections should be treated as values rather than objects. While
objects represent some thing which could change over time, a value represents
the state of that thing at a particular instance of time. This principle is most
important to understanding the appropriate use of immutable data. In order to
treat Immutable.js collections as values, it's important to use the
Immutable.is()
function or .equals()
method to determine value equality
instead of the ===
operator which determines object reference identity.
const { Map } = require('immutable')
const map1 = Map( {a: 1, b: 2, c: 3 })
const map2 = map1.set('b', 2)
assert(map1.equals(map2) === true)
const map3 = map1.set('b', 50)
assert(map1.equals(map3) === false)
Note: As a performance optimization Immutable.js attempts to return the existing
collection when an operation would result in an identical collection, allowing
for using ===
reference equality to determine if something definitely has not
changed. This can be extremely useful when used within a memoization function
which would prefer to re-run the function if a deeper equality check could
potentially be more costly. The ===
equality check is also used internally by
Immutable.is
and .equals()
as a performance optimization.
If an object is immutable, it can be "copied" simply by making another reference
to it instead of copying the entire object. Because a reference is much smaller
than the object itself, this results in memory savings and a potential boost in
execution speed for programs which rely on copies (such as an undo-stack).
const { Map } = require('immutable')
const map1 = Map({ a: 1, b: 2, c: 3 })
const clone = map1;
JavaScript-first API
While Immutable.js is inspired by Clojure, Scala, Haskell and other functional
programming environments, it's designed to bring these powerful concepts to
JavaScript, and therefore has an Object-Oriented API that closely mirrors that
of ES2015 Array, Map, and Set.
The difference for the immutable collections is that methods which would mutate
the collection, like push
, set
, unshift
or splice
instead return a new
immutable collection. Methods which return new arrays like slice
or concat
instead return new immutable collections.
const { List } = require('immutable')
const list1 = List([ 1, 2 ]);
const list2 = list1.push(3, 4, 5);
const list3 = list2.unshift(0);
const list4 = list1.concat(list2, list3);
assert(list1.size === 2);
assert(list2.size === 5);
assert(list3.size === 6);
assert(list4.size === 13);
assert(list4.get(0) === 1);
Almost all of the methods on Array will be found in similar form on
Immutable.List
, those of Map found on Immutable.Map
, and those of Set
found on Immutable.Set
, including collection operations like forEach()
and map()
.
const { Map } = require('immutable')
const alpha = Map({ a: 1, b: 2, c: 3, d: 4 });
alpha.map((v, k) => k.toUpperCase()).join();
Accepts raw JavaScript objects.
Designed to inter-operate with your existing JavaScript, Immutable.js
accepts plain JavaScript Arrays and Objects anywhere a method expects an
Collection
.
const { Map } = require('immutable')
const map1 = Map({ a: 1, b: 2, c: 3, d: 4 })
const map2 = Map({ c: 10, a: 20, t: 30 })
const obj = { d: 100, o: 200, g: 300 }
const map3 = map1.merge(map2, obj);
This is possible because Immutable.js can treat any JavaScript Array or Object
as a Collection. You can take advantage of this in order to get sophisticated
collection methods on JavaScript Objects, which otherwise have a very sparse
native API. Because Seq evaluates lazily and does not cache intermediate
results, these operations can be extremely efficient.
const { Seq } = require('immutable')
const myObject = { a: 1, b: 2, c: 3 }
Seq(myObject).map(x => x * x).toObject();
Keep in mind, when using JS objects to construct Immutable Maps, that
JavaScript Object properties are always strings, even if written in a quote-less
shorthand, while Immutable Maps accept keys of any type.
const { fromJS } = require('immutable')
const obj = { 1: "one" }
Object.keys(obj)
obj["1"]
obj[1]
const map = fromJS(obj)
map.get("1")
map.get(1)
Property access for JavaScript Objects first converts the key to a string, but
since Immutable Map keys can be of any type the argument to get()
is
not altered.
Converts back to raw JavaScript objects.
All Immutable.js Collections can be converted to plain JavaScript Arrays and
Objects shallowly with toArray()
and toObject()
or deeply with toJS()
.
All Immutable Collections also implement toJSON()
allowing them to be passed
to JSON.stringify
directly.
const { Map, List } = require('immutable')
const deep = Map({ a: 1, b: 2, c: List([ 3, 4, 5 ]) })
deep.toObject()
deep.toArray()
deep.toJS()
JSON.stringify(deep)
Embraces ES2015
Immutable.js supports all JavaScript environments, including legacy
browsers (even IE8). However it also takes advantage of features added to
JavaScript in ES2015, the latest standard version of JavaScript, including
Iterators, Arrow Functions, Classes, and Modules. It's inspired
by the native Map and Set collections added to ES2015.
All examples in the Documentation are presented in ES2015. To run in all
browsers, they need to be translated to ES3.
const mapped = foo.map(x => x * x);
var mapped = foo.map(function (x) { return x * x; });
Nested Structures
The collections in Immutable.js are intended to be nested, allowing for deep
trees of data, similar to JSON.
const { fromJS } = require('immutable')
const nested = fromJS({ a: { b: { c: [ 3, 4, 5 ] } } })
A few power-tools allow for reading and operating on nested data. The
most useful are mergeDeep
, getIn
, setIn
, and updateIn
, found on List
,
Map
and OrderedMap
.
const nested2 = nested.mergeDeep({ a: { b: { d: 6 } } })
nested2.getIn([ 'a', 'b', 'd' ])
const nested3 = nested2.updateIn([ 'a', 'b', 'd' ], value => value + 1)
const nested4 = nested3.updateIn([ 'a', 'b', 'c' ], list => list.push(6))
Lazy Seq
Seq
describes a lazy operation, allowing them to efficiently chain
use of all the sequence methods (such as map
and filter
).
Seq is immutable — Once a Seq is created, it cannot be
changed, appended to, rearranged or otherwise modified. Instead, any mutative
method called on a Seq will return a new Seq.
Seq is lazy — Seq does as little work as necessary to respond to any
method call.
For example, the following does not perform any work, because the resulting
Seq is never used:
const { Seq } = require('immutable')
const oddSquares = Seq([ 1, 2, 3, 4, 5, 6, 7, 8 ])
.filter(x => x % 2)
.map(x => x * x)
Once the Seq is used, it performs only the work necessary. In this
example, no intermediate arrays are ever created, filter is called three times,
and map is only called once:
console.log(oddSquares.get(1));
Any collection can be converted to a lazy Seq with .toSeq()
.
const { Map } = require('immutable')
const seq = Map({ a: 1, b: 2, c: 3 }).toSeq()
Seq allows for the efficient chaining of sequence operations, especially when
converting to a different concrete type (such as to a JS object):
seq.flip().map(key => key.toUpperCase()).flip().toObject();
As well as expressing logic that would otherwise seem memory-limited:
const { Range } = require('immutable')
Range(1, Infinity)
.skip(1000)
.map(n => -n)
.filter(n => n % 2 === 0)
.take(2)
.reduce((r, n) => r * n, 1);
Note: A Collection is always iterated in the same order, however that order may
not always be well defined, as is the case for the Map
.
Equality treats Collections as Data
Immutable.js provides equality which treats immutable data structures as pure
data, performing a deep equality check if necessary.
const { Map, is } = require('immutable')
const map1 = Map({ a: 1, b: 2, c: 3 })
const map2 = Map({ a: 1, b: 2, c: 3 })
assert(map1 !== map2)
assert(is(map1, map2))
assert(map1.equals(map2))
Immutable.is()
uses the same measure of equality as Object.is
including if both are immutable and all keys and values are equal
using the same measure of equality.
Batching Mutations
If a tree falls in the woods, does it make a sound?
If a pure function mutates some local data in order to produce an immutable
return value, is that ok?
— Rich Hickey, Clojure
Applying a mutation to create a new immutable object results in some overhead,
which can add up to a minor performance penalty. If you need to apply a series
of mutations locally before returning, Immutable.js gives you the ability to
create a temporary mutable (transient) copy of a collection and apply a batch of
mutations in a performant manner by using withMutations
. In fact, this is
exactly how Immutable.js applies complex mutations itself.
As an example, building list2
results in the creation of 1, not 3, new
immutable Lists.
const { List } = require('immutable')
const list1 = List([ 1, 2, 3 ]);
const list2 = list1.withMutations(function (list) {
list.push(4).push(5).push(6);
});
assert(list1.size === 3);
assert(list2.size === 6);
Note: Immutable.js also provides asMutable
and asImmutable
, but only
encourages their use when withMutations
will not suffice. Use caution to not
return a mutable copy, which could result in undesired behavior.
Important!: Only a select few methods can be used in withMutations
including
set
, push
and pop
. These methods can be applied directly against a
persistent data-structure where other methods like map
, filter
, sort
,
and splice
will always return new immutable data-structures and never mutate
a mutable collection.
Documentation
Read the docs and eat your vegetables.
Docs are automatically generated from Immutable.d.ts.
Please contribute!
Also, don't miss the Wiki which
contains articles on specific topics. Can't find something? Open an issue.
Testing
If you are using the Chai Assertion Library, Chai Immutable provides a set of assertions to use against Immutable.js collections.
Contribution
Use Github issues for requests.
We actively welcome pull requests, learn how to contribute.
Changelog
Changes are tracked as Github releases.
Thanks
Phil Bagwell, for his inspiration
and research in persistent data structures.
Hugh Jackson, for providing the npm package
name. If you're looking for his unsupported package, see this repository.
License
Immutable.js is BSD-licensed. We also provide an additional patent grant.