finite key-value cache using the Least Recently Used (LRU) algorithm where the most recently used objects are keept in cache while less recently used items are purged
npm install lru-fast> This is an older version aimed for older JS environments lacking some post-ES5 features like Map and Symbol. If you're targeting a modern web browser or Nodejs, consider using the latest version instead.
A finite key-value cache using the Least Recently Used (LRU) cache algorithm where the most recently used objects are keept in cache while less recently used items are purged.
This implementation is compatible with most JavaScript environments (including ye olde browser) and is very efficient.
- Based on a doubly-linked list for low complexity random shuffling of entries.
- The cache object iself has a "head" (least recently used entry) and a
"tail" (most recently used entry).
- The "head" and "tail" are "entries" -- an entry might have a "newer" and
an "older" entry (doubly-linked, "older" being close to "head" and "newer"
being closer to "tail").
- Key lookup is done through a key-entry mapping native object, which on most
platforms mean O(1) complexity. This comes at a very low memory cost (for
storing two extra pointers for each entry).
Fancy ASCII art illustration of the general design:
``txt`
entry entry entry entry
______ ______ ______ ______
| head |.newer => | |.newer => | |.newer => | tail |
.oldest = | A | | B | | C | | D | = .newest
|______| <= older.|______| <= older.|______| <= older.|______|
removed <-- <-- <-- <-- <-- <-- <-- <-- <-- <-- <-- added
`js
let c = new LRUCache(3)
c.put('adam', 29)
c.put('john', 26)
c.put('angela', 24)
c.toString() // -> "adam:29 < john:26 < angela:24"
c.get('john') // -> 26
// Now 'john' is the most recently used entry, since we just requested it
c.toString() // -> "adam:29 < angela:24 < john:26"
c.put('zorro', 141) // -> {key:adam, value:29}
// Because we only have room for 3 entries, put-ing 'zorro' purged 'adam'
c.toString() // -> "angela:24 < john:26 < zorro:141"
`
Just copy the code on lru.js — for minimal functionality, you only need the lines up until the comment that says "Following code is optional".
If you're really into package managers and love having lots of complicated little files in your project, you can use npm install lru-fast
Additionally:
- Run tests with npm testnpm run benchmark
- Run benchmarks with
`ts
// An entry holds the key and value, and pointers to any older and newer entries.
interface Entry
older :Entry
newer :Entry
key :K;
value :V;
}
export class LRUCache
// Construct a new cache object which will hold up to limit entries.
// When the size == limit, a put operation will evict the oldest entry.
constructor(limit :number);
// Current number of items
size: number;
// Maximum number of items this map can hold
limit: number;
// Least recently-used entry
oldest: Entry
// Most recently-used entry
newest: Entry
// Put
// with the same key.
// Returns any entry which was removed to make room for a new entry, or undefined.
// Note: The behavior of this method changed between v0.1 and v0.2 where in v0.1
// putting multiple values with the same key would store all values (accessible
// via forEach and other forms of traversal.) v0.2 stores exactly one value per key.
put(key :K, value :V) : Entry
// Remove the least recently-used (oldest) entry from the cache.
// Returns the removed entry, or undefined if the cache was empty.
shift() : Entry
// Get and register recent use of
// Returns the value associated with
get(key :K) : V | undefined;
// Check if
// you do not want to chage the state of the cache, but only "peek" at it.
// Returns the entry associated with
//
// Note: The entry returned is managed by the cache (until purged) and thus
// contains members with strong references which might be altered at any time by
// the cache object. You should look at the returned entry as being immutable.
find(key :K) : V | undefined;
// Update the value of entry with
// Returns the old value, or undefined if entry was not in the cache.
set(key :K, value :V) : V | undefined;
// Remove entry
// Returns the removed value, or undefined if not found.
remove(key :K) : V | undefined;
// Removes all entries
removeAll();
// Return an array containing all keys of entries stored in the cache object, in
// arbitrary order.
keys() : Array
// Call fun for each entry. Starting with the newest entry if desc is a true
// value, otherwise starts with the oldest (head) enrty and moves towards the tail.
// context, Object key, Object value, LRUCache self
forEach(
fun :(context :any, key :K, value :V, self :LRUCache
context? :any,
desc? :boolean
) : void;
// Returns a JSON (array) representation
toJSON() : Array<{key :K, value :V}>;
// Returns a human-readable text representation
toString() : string;
}
`
If you need to perform any form of finalization of items as they are evicted from the cache, wrapping the shift method is a good way to do it:
`js`
let c = new LRUCache(123);
c.shift = function() {
let entry = LRUCache.prototype.shift.call(this);
doSomethingWith(entry);
return entry;
}
The internals calls shift as entries need to be evicted, so this method is guaranteed to be called for any item that's removed from the cache. The returned entry must not include any strong references to other entries. See note in the documentation of LRUCache.prototype.put (Object key, Object value) -> Object entry`.
Copyright (c) 2010-2016 Rasmus Andersson
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