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0.4.1 • Public • Published

Adequate Cache

Entirely adequate node.js in-memory cache with lru and ttl support.

npm i --save adequate-cache


The cache is a class with a rather standard API surface.

const AdequateCache = require('adequate-cache');
const cache = new AdequateCache();
// Set a value for key
cache.set('key', 'value');
// Check whether key is in cache. Returns undefined if not found.
cache.has('key'); // true
// Retrieve value for key.
cache.get('key'); // 'value'
// Add another value to cache
cache.set('key2', 'value2');
// Get iterator for all keys in the cache
Array.from(cache.keys()); // ['key', 'key2']
// Delete value from cache
cache.del('key'); // true
cache.has('key'); // false
// Delete everything from cache
cache.get('key2'); // undefined

All operations are synchronous. Keys are always cast to string. Values can be any javascript value, except undefined (setting undefined is equivalent to deleting an entry).

TTL (time-to-live, in ms) can be provided as a setting "ttl" when creating the cache, or for each key. Max keys are configured through max option.

const AdequateCache = require('adequate-cache');
const cache = new AdequateCache({
  max: 2, // Hold only 2 keys, get rid of the least used ones
  ttl: 1000 // Live for 1 second
cache.set('a', {value: 'A'}); // TTL: 1 second (default)
cache.set('b', {value: 'B'}, 2000); // TTL: 2 seconds
cache.set('c', {value: 'C'}, null); // TTL: none (live forever)
cache.get('a'); // undefined, it was removed due to 'max' setting.

A few more fiddly options can be seen in the AdequateCacheOptions class.


Provide allows you to reduce boilerplate in a very common usage pattern, where you try to get a value from cache and fall back to an asynchronous fetch method.

Code like this:

const userCache = new AdequateCache();
function getUser(id) {
  if (userCache.has(id)) {
    return Promise.resolve(userCache.get(id));
  return fetchUser(id).then(user => {
    userCache.set(id, user);
    return user;
getUser(id).then(user => {

Can be converted to something like this:

const userCache = new AdequateCache({
  provider: fetchUser
userCache.provide(id).then(user => {

You can also have multiple input values. By default they will be stringified and joined into a string key, but you can also provide your own key generator.

const conversionRateCache = new AdequateCache({
  provider: getConversionRate,
  providerArgsToKey: (a, b) => `${a} to ${b}`
conversionRateCache.provide('USD', 'EUR').then(rate => {
  console.log('USD is worth ' + rate + ' EUR');

Version history

Date Version Details
2018/09/10 0.1.0 Initial release
2018/11/01 0.2.0 Added cache.provide(key) and provider option.
2018/11/01 0.2.1 Better docs
2018/12/14 0.3.0 cache.provide now accepts multiple arguments. providerArgsToKey added.
2019/05/17 0.3.1 cache.emptyOut() added.
2019/07/10 0.3.2 cache.keys() added.
2020/03/10 0.4.0 Provider promises are now reused, so provider() won't be called multiple times needlessly. Also removed package.lock from repo.
2020/03/10 0.4.1 Minor JSDoc fix

Implementation details

All values are stored as internal entries, in a native js Map. If cache is configured to have max capacity, entries are connected in a doubly-linked list and rearranged any time cache is touched.

There are no background intervals or timers. Cleaning ("vacuuming") is triggered occasionally, when user "touches" the cache and some of the conditions for vacuuming are met (enough time has passed, overflow is above certain factor, etc.). These factors are configurable through options. Vacuuming is (by default) done in a separate run loop instance, so the duration of cache calls remains constant.

Vacuuming complexity is at most O(N). All other operations are O(1). The trade-off is in potential memory fragmentation. The magnitude of this is to be determined.

Project status

Library is feature-complete, and covered with unit tests. It's been in production for more than a year, without any issues. There is no speed benchmarking at the moment.






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