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The tiny-lru npm package is a lightweight, in-memory Least Recently Used (LRU) cache. It is designed to be simple and efficient, making it suitable for use in environments where memory usage and performance are critical.
Creating an LRU Cache
This feature allows you to create an LRU cache with a specified maximum size. The cache will automatically evict the least recently used items when the size limit is reached.
const LRU = require('tiny-lru');
const cache = LRU(100); // Create a cache with a max size of 100 items
Setting and Getting Cache Items
You can store items in the cache using the `set` method and retrieve them using the `get` method. If the item is not found, `get` will return `undefined`.
cache.set('key', 'value');
const value = cache.get('key'); // 'value'
Deleting Cache Items
This feature allows you to delete specific items from the cache using the `delete` method.
cache.set('key', 'value');
cache.delete('key');
const value = cache.get('key'); // undefined
Clearing the Cache
You can clear all items from the cache using the `clear` method, which removes all entries.
cache.set('key1', 'value1');
cache.set('key2', 'value2');
cache.clear();
const value1 = cache.get('key1'); // undefined
const value2 = cache.get('key2'); // undefined
Cache Size and Item Count
This feature allows you to check the current number of items in the cache using the `size` property.
cache.set('key1', 'value1');
cache.set('key2', 'value2');
const size = cache.size; // 2
The lru-cache package is another popular LRU cache implementation for Node.js. It offers more features and configuration options compared to tiny-lru, such as time-to-live (TTL) settings for cache entries and more detailed cache statistics.
The quick-lru package is a minimalist LRU cache implementation that focuses on performance and simplicity. It is similar to tiny-lru in terms of its lightweight nature but offers a slightly different API.
The node-cache package provides a simple and efficient in-memory caching solution with support for TTL and other advanced features. It is more feature-rich compared to tiny-lru, making it suitable for more complex caching needs.
Least Recently Used cache for Client or Server.
var cache = lru(500);
Evicts the least recently used item from cache
return {Object} LRU instance
Example
cache.evict();
Item in "first" or "top" position
Example
var cache = lru();
cache.first; // null - it's a new cache!
Gets cached item and moves it to the front
param {String} key Item key
return {Mixed} Undefined or Item value
Example
var item = cache.get("myKey");
Hash of cache items
Example
var cache = lru();
cache.items; // {}
Max items to hold in cache (1000)
Example
var cache = lru(500);
cache.max; // 500
Item in "last" or "bottom" position
Example
var cache = lru();
cache.last; // null - it's a new cache!
Number of items in cache
Example
var cache = lru();
cache.length; // 0 - it's a new cache!
Removes item from cache
param {String} key Item key
return {Object} Item
Example
var staleItem = cache.remove("myKey");
Sets item in cache as first
param {String} key Item key
param {Mixed} value Item value
return {Object} LRU instance
Example
cache.set("myKey", {prop: true});
Lodash provides a memoize
function with a cache that can be swapped out as long as it implements the right interface. Sample usage with lodash:
_.memoize.Cache = lru().constructor;
var memoized = _.memoize(myFunc);
memoized.cache.max = 10;
See the lodash docs for more on memoize
.
Copyright (c) 2016 Jason Mulligan Licensed under the BSD-3 license.
24 January 2016
has
and delete
methods so that it's compatible with lodash's memoize function #1
/docs
as it will not be generated now f75b2eb
5e09785
has
and delete
methods so that it implements the parts of the Map method interface that make it compatible with lodash's memoize method. Add corresponding docs and tests. 6fa548e
FAQs
Tiny LRU cache for Client or Server
The npm package tiny-lru receives a total of 716,547 weekly downloads. As such, tiny-lru popularity was classified as popular.
We found that tiny-lru demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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