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 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.
Install immutable using npm.
npm install immutableThen require it into any module.
var Immutable = require('immutable');
var map1 = Immutable.Map({a:1, b:2, c:3});
var map2 = map1.set('b', 50);
map1.get('b'); // 2
map2.get('b'); // 50To use immutable 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'); // 2
map2.get('b'); // 50
</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'); // 2
map2.get('b'); // 50
});If you're using browserify, the immutable npm module
also works from the browser.
Use these Immutable collections and sequences as you would use native collections in your TypeScript programs while still taking advantage of type generics, error detection, and auto-complete in your IDE.
Just add a reference with a relative path to the type declarations at the top of your file.
///<reference path='./node_modules/immutable/dist/immutable.d.ts'/>
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'); // 2
map2.get('b'); // 50Much 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 represents 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.
var map1 = Immutable.Map({a:1, b:2, c:3});
var map2 = map1.set('b', 2);
assert(map1.equals(map2) === true);
var map3 = map1.set('b', 50);
assert(map1.equals(map3) === false);Note: As a performance optimization Immutable 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 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).
var map1 = Immutable.Map({a:1, b:2, c:3});
var clone = map1;While immutable 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 ES6 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.
var list1 = Immutable.List.of(1, 2);
var list2 = list1.push(3, 4, 5);
var list3 = list2.unshift(0);
var 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().
var alpha = Immutable.Map({a:1, b:2, c:3, d:4});
alpha.map((v, k) => k.toUpperCase()).join();
// 'A,B,C,D'Designed to inter-operate with your existing JavaScript, immutable
accepts plain JavaScript Arrays and Objects anywhere a method expects an
Iterable with no performance penalty.
var map1 = Immutable.Map({a:1, b:2, c:3, d:4});
var map2 = Immutable.Map({c:10, a:20, t:30});
var obj = {d:100, o:200, g:300};
var map3 = map1.merge(map2, obj);
// Map { a: 20, b: 2, c: 10, d: 100, t: 30, o: 200, g: 300 }This is possible because immutable can treat any JavaScript Array or Object
as an Iterable. 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.
var myObject = {a:1,b:2,c:3};
Immutable.Seq(myObject).map(x => x * x).toObject();
// { a: 1, b: 4, c: 9 }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.
var obj = { 1: "one" };
Object.keys(obj); // [ "1" ]
obj["1"]; // "one"
obj[1]; // "one"
var map = Immutable.fromJS(obj);
map.get("1"); // "one"
map.get(1); // undefinedProperty 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.
All immutable Iterables can be converted to plain JavaScript Arrays and
Objects shallowly with toArray() and toObject() or deeply with toJS().
All Immutable Iterables also implement toJSON() allowing them to be passed to
JSON.stringify directly.
var deep = Immutable.Map({ a: 1, b: 2, c: Immutable.List.of(3, 4, 5) });
deep.toObject() // { a: 1, b: 2, c: List [ 3, 4, 5 ] }
deep.toArray() // [ 1, 2, List [ 3, 4, 5 ] ]
deep.toJS() // { a: 1, b: 2, c: [ 3, 4, 5 ] }
JSON.stringify(deep) // '{"a":1,"b":2,"c":[3,4,5]}'Immutable takes advantage of features added to JavaScript in ES6,
the latest standard version of ECMAScript (JavaScript), including Iterators,
Arrow Functions, Classes, and Modules. It's also inspired by the
Map and Set collections added to ES6. The library is "transpiled" to ES3
in order to support all modern browsers.
All examples are presented in ES6. To run in all browsers, they need to be translated to ES3.
// ES6
foo.map(x => x * x);
// ES3
foo.map(function (x) { return x * x; });The collections in immutable are intended to be nested, allowing for deep
trees of data, similar to JSON.
var nested = Immutable.fromJS({a:{b:{c:[3,4,5]}}});
// Map { a: Map { b: Map { c: List [ 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.
var nested2 = nested.mergeDeep({a:{b:{d:6}}});
// Map { a: Map { b: Map { c: List [ 3, 4, 5 ], d: 6 } } }nested2.getIn(['a', 'b', 'd']); // 6
var nested3 = nested2.updateIn(['a', 'b', 'd'], value => value + 1);
// Map { a: Map { b: Map { c: List [ 3, 4, 5 ], d: 7 } } }
var nested4 = nested3.updateIn(['a', 'b', 'c'], list => list.push(6));
// Map { a: Map { b: Map { c: List [ 3, 4, 5, 6 ], d: 7 } } }Seq describes a lazy operation, allowing them to efficiently chain
use of all the Iterable 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:
var oddSquares = Immutable.Seq.of(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 twice:
console.log(oddSquares.get(1)); // 9
Any collection can be converted to a lazy Seq with .toSeq().
var seq = Immutable.Map({a:1, b:1, c:1}).toSeq();
Seq allow 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();
// Map { A: 1, B: 1, C: 1 }
As well as expressing logic that would otherwise seem memory-limited:
Immutable.Range(1, Infinity)
.skip(1000)
.map(n => -n)
.filter(n => n % 2 === 0)
.take(2)
.reduce((r, n) => r * n, 1);
// 1006008
Note: An iterable is always iterated in the same order, however that order may
not always be well defined, as is the case for the Map.
Immutable provides equality which treats immutable data structures as pure
data, performing a deep equality check if necessary.
var map1 = Immutable.Map({a:1, b:1, c:1});
var map2 = Immutable.Map({a:1, b:1, c:1});
assert(map1 !== map2); // two different instances
assert(Immutable.is(map1, map2)); // have equivalent values
assert(map1.equals(map2)); // alternatively use the equals methodImmutable.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.
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 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 applies complex mutations itself.
As an example, building list2 results in the creation of 1, not 3, new
immutable Lists.
var list1 = Immutable.List.of(1,2,3);
var list2 = list1.withMutations(function (list) {
list.push(4).push(5).push(6);
});
assert(list1.size === 3);
assert(list2.size === 6);Note: immutable 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.
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.
If you are using the Chai Assertion Library, Chai Immutable provides a set of assertions to use against Immutable collections.
Use Github issues for requests.
We actively welcome pull requests, learn how to contribute.
Changes are tracked as Github releases.
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 v1.4.1.
Immutable is BSD-licensed. We also provide an additional patent grant.