fast-sort
Fast easy to use and flexible sorting with TypeScript support.
For speed comparison of fast-sort
vs other popular sort libraries check benchmark section.
For list of all available features check highlights section.
Quick examples
import { sort } from 'fast-sort';
const ascSorted = sort([1,4,2]).asc();
const descSorted = sort([1, 4, 2]).desc();
sort(users).desc(u => u.firstName);
sort(users).asc([
u => u.firstName,
u => u.lastName
]);
sort(users).by([
{ asc: u => u.firstName },
{ desc: u => u.address.city }
]);
sort(repositories).desc(r => r.openIssues + r.closedIssues);
sort(users).asc('firstName');
Fore even more examples check unit tests.
Highlights
- Sort flat arrays
- Sort array of objects by one or more properties
- Sort in multiple directions
- Natural sort support
- Support for custom sort instances
- Easy to read syntax
- Faster than other popular sort alternatives
- Undefined and null values are always sorted to bottom (with default comparer)
- TypeScript support
- Packed with features in small footprint with 0 dependencies (~ 850 bytes gzip)
- Compatible with any JS environment as Node, Web, etc..
Migrating from older versions
Documentation for v2 and older versions is available here.
For migrating to v3 you can reference CHANGELOG for what has been changed.
In place sorting
By default sort
does not mutate provided array it creates new "sorted" instance of array. inPlaceSort
on other hand mutates provided array by sorting it without creating new array instance. Benefits of inPlaceSort
is that it's slightly faster and more generous on memory as it's not creating new array instance every time sorting is done. Other than that there is no difference between using one or another.
const { sort, inPlaceSort } = require('fast-sort');
const array = [3, 1, 5];
const sorted = sort(array).asc();
inPlaceSort(array).asc();
Natural sorting / Language sensitive sorting
By default fast-sort
is not doing language sensitive sorting of strings.
e.g 'image-11.jpg'
will be sorted before 'image-2.jpg'
(in ascending sorting).
We can provide custom Intl.Collator comparer to fast-sort for language sensitive sorting of strings.
Keep in mind that natural sort is slower then default sorting so recommendation is to use it
only when needed.
import { sort, createNewSortInstance } from 'fast-sort';
const testArr = ['image-2.jpg', 'image-11.jpg', 'image-3.jpg'];
sort(testArr).desc();
sort(testArr).by({
desc: true,
comparer: new Intl.Collator(undefined, { numeric: true, sensitivity: 'base' }).compare,
});
const naturalSort = createNewSortInstance({
comparer: new Intl.Collator(undefined, { numeric: true, sensitivity: 'base' }).compare,
});
naturalSort(testArr).asc();
naturalSort(testArr).desc();
Custom sorting
Fast sort can be tailored to fit any sorting need or use case by:
- creating custom sorting instances
- overriding default comparer in
by
sorter - custom handling in provided callback function
- combination of any from above
For example we will sort tags
by "custom" tag importance (e.g vip
tag is of greater importance then captain
tag).
import { sort, createNewSortInstance } from 'fast-sort';
const tags = ['influencer', 'unknown', 'vip', 'captain'];
const tagsImportance = {
vip: 3,
influencer: 2,
captain: 1,
};
const descTags = sort(tags).desc(tag => tagImportance[tag] || 0);
const tagSorter = createNewSortInstance({
comparer: (a, b) => (tagImportance[a] || 0) - (tagImportance[b] || 0),
inPlaceSorting: true,
});
tagSorter(tags).asc();
tagSorter(tags).desc();
const defaultSort = sort(tags).asc();
More examples
sort(null).asc();
sort(33).desc();
const addresses = [{ city: 'Split' }, { city: undefined }, { city: 'Zagreb'}];
sort(addresses).asc(a => a.city);
sort(addresses).desc(a => a.city);
Benchmark
Five different benchmarks have been created to get better insight of how fast-sort perform under different scenarios.
Each benchmark is run with different array sizes raging from small 100 items to large 100 000 items.
Every run of benchmark outputs different results but the results are constantly showing better scores compared to similar popular sorting libraries.
Benchmark scores
Benchmark has been run on:
- 16 GB Ram
- Intel® Core™ i5-4570 CPU @ 3.20GHz × 4
- Ubuntu 16.04
- Node 8.9.1
Running benchmark
To run benchmark on your PC follow steps from below
- git clone https://github.com/snovakovic/fast-sort.git
- cd fast-sort/benchmark
- npm install
- npm start
In case you notice any irregularities in benchmark or you want to add sort library to benchmark score
please open issue here