Blazing fast array sorting that outperforms lodash sorting by ~2x (in some cases it's more then 5x). Take a look at the benchmark section for more information about performance.
- Sorting an array of objects by one or more properties
- Sorting flat arrays
- Sorting in multiple directions
- Easy to read syntax for asc and desc sorting
- Faster then other sort alternatives
- Undefined and null values are always sorted to bottom of list no matter if ordering is ascending or descending.
Under the hood sort use a native JavaScript sort. Usage of native sort implies that sorting is not necessarily stable and it also implies that input array is modified(sorted) same as it would be when applying native sort
import sort from 'fast-sort';
sort([1,4,2]).asc(); // => [1, 2, 4]
sort([1,4,2]).desc(); // => [4, 2, 1]
// Sort users [Object] ascending by firstName
sort(users).asc(u => u.firstName);
// If sorting by single property we can use string syntax
// NOTE: sorting by string is available from version [1.3.0]
sort(users).asc('firstName');
// For sorting by nested property we have to provide sort function
sort(users).desc(u => u.address.city);
// Sort users by firstName, lastName and city
sort(users).desc([
'firstName',
'lastName',
u => u.address.city // String syntax is not available for nested properties
]);
// Sort in multiple directions
// NOTE: Available from version [1.5.0]
sort(persons).by([
{ asc: 'name' }
{ desc: 'age' }
]);
// Sort by any custom logic e.g sort vip users first
sort(users).asc(u => u.tags === 'vip' ? 1 : -1);
// Sorting values that are not sortable will return same value back
sort(null).asc(); // => null
sort(33).desc(); // => 33
NOTE: fast-sort is part of js-flock library exported as single module.
Benchmarking sort is not an easy task as there is so many different scenarios that can happen while sorting. Because of that 5 different benchmarks have been created to test how fast-sort is behaving on different inputs and sort scenarios. Each benchmark is run with different array sizes from small 100 items to large 100 000 items.
Every run of benchmark outputs different results but the results are constantly better then lodash sort and in following benchmark score ranges from 1.37x to 13.51x faster then lodash sort. This will vary on each benchmark run but it should not vary too much.
Benchmark has been run on:
- 16 GB Ram
- Intel® Core™ i5-4570 CPU @ 3.20GHz × 4
- Ubuntu 16.04
- Node 8.9.1
To run benchmark on your PC follow steps from below
- git clone https://github.com/snovakovic/js-flock.git
- cd js-flock
- npm install
- npm run benchmark:sort
In case you notice any irregularities in benchmark or you want to add sort library to benchmark score please open issue here