hyperlru
v2.1.2
Published
Tiny & Fast LRU Implementation as possible
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hyperlru
Tiny & Fast LRU Implementation as possible.
Features
- Fast: High performance (See benchmark).
- Simple: The whole project is ~60 lines of code.
- Lightweight: The package weighs less than a megabyte, with zero dependencies.
There are a lot of LRU implementations, but most of them have a poor perfomance and they are hard to understand.
hyperlru is an Abstract LRU implementation using traditional and efficienty data structures:
- Double Linked List: It maintains the least recent list of items.
- Hash Table It keeps the data for easily access to cache content.
For use it, you need to provide one of the created providers:
Install
$ npm install hyperlru --save
Usage
const hyperlru = require('hyperlru')
const myProvider = require('my-hyperlru-provider')
const createLRU = hyperlru(myProvider)
const cache = createLRU({max: 1000})
Benchmark
| name | size | gzip | set | get1 | update | get2 | evict | |-----------------------------------------------------|---------|---------|------|-------|--------|-------|-------| | lru-fast | 2.34 kB | 793 B | 6855 | 27105 | 21550 | 25159 | 4003 | | tiny-lru | 4 kB | 1.64 kB | 4159 | 10746 | 18909 | 15925 | 4042 | | lru_cache | 2.19 kB | 756 B | 5320 | 14489 | 10785 | 15963 | 4242 | | simple-lru-cache | 1.43 kB | 565 B | 3289 | 12134 | 8600 | 15266 | 3334 | | hyperlru-object | 433 B | 265 B | 1152 | 8800 | 6205 | 8635 | 1039 | | hashlru | 628 B | 332 B | 4438 | 5834 | 4703 | 5960 | 3474 | | hyperlru-map | 329 B | 232 B | 850 | 4555 | 4030 | 4397 | 690 | | lru | 6.07 kB | 1.86 kB | 2672 | 3302 | 3142 | 3898 | 1347 | | lru-cache | 19.1 kB | 6.23 kB | 989 | 4702 | 3034 | 4536 | 773 | | secondary-cache | 22.6 kB | 6.54 kB | 1427 | 2292 | 2740 | 4579 | 1164 | | quick-lru | 1.23 kB | 489 B | 2441 | 2075 | 2525 | 2119 | 2525 | | modern-lru | 2.27 kB | 907 B | 1019 | 2531 | 2021 | 2456 | 731 | | mkc | 10.5 kB | 3.61 kB | 729 | 1230 | 715 | 1129 | 575 |
API
hyperlru([options])
options
max
Type: number
Default: 1000
Max of element to keep into the cache.
.set(key, value)
Set the value of the key and mark the key as most recently used.
It returns the value
.
.get(key)
Query the value of the key and mark the key as most recently used.
It returns the value of key if found; undefined
otherwise.
.peek(key)
Query the value of the key without marking the key as most recently used.
It returns the value of key if found; undefined
otherwise.
.keys()
It retrieves all the keys currently in the cache.
.values()
It retrieves all the values currently in the cache.
.clear()
Clear all the elements in the cache.
.remove(key)
Remove the value from the cache.
Returns: value of key if found; undefined
otherwise.
License
MIT © Kiko Beats.