memoizee

What is memoizee?

The memoizee npm package is a complete memoization library for JavaScript. It allows for caching the results of function calls based on the arguments provided. This can significantly improve performance for expensive function calls that are invoked repeatedly with the same parameters.

What are memoizee's main functionalities?

Basic memoization

This feature allows you to memoize any function, caching its results so that subsequent calls with the same arguments return immediately without recomputing.

const memoize = require('memoizee');
const expensiveFunction = (arg) => { /* complex computation */ };
const memoized = memoize(expensiveFunction);

Memoization with options

This feature allows you to customize the memoization behavior with options such as maxAge for cache expiration, preFetch for renewing cache just before it expires, and max for limiting the number of cache entries.

const memoize = require('memoizee');
const memoized = memoize(expensiveFunction, { maxAge: 1000, preFetch: 0.5, max: 10 });

Primitive mode

Primitive mode ensures that the cache keys are based on the value of the arguments rather than their reference, which is useful for arguments that are primitive values.

const memoize = require('memoizee');
const memoized = memoize(expensiveFunction, { primitive: true });

Asynchronous function memoization

This feature allows memoization of asynchronous functions, caching the resolved value of the promise.

const memoize = require('memoizee');
const expensiveAsyncFunction = async (arg) => { /* complex async computation */ };
const memoized = memoize(expensiveAsyncFunction, { promise: true });

WeakMap-based memoization

This feature uses WeakMap to store cache entries, which allows for garbage collection of non-referenced keys, useful for memoizing functions that accept objects as arguments.

const memoize = require('memoizee/weak');
const memoized = memoize(expensiveFunction);

Other packages similar to memoizee

lodash.memoize

Lodash provides a memoize function that caches the result of function calls. It's simpler than memoizee and doesn't offer as many options for customization, but it's widely used due to its inclusion in the Lodash utility library.

fast-memoize

Fast-memoize is a high-performance memoization library that claims to be the fastest memoization library for JavaScript. It offers a simple API but lacks some of the advanced features and customization options provided by memoizee.

memoization

This is a less known library that offers memoization capabilities. It provides a simple API for memoizing functions but does not have the extensive feature set and customization options that memoizee offers.

README

Memoizee

Complete memoize/cache solution for JavaScript

Originally derived from es5-ext package.

Memoization is best technique to save on memory or CPU cycles when we deal with repeated operations. For detailed insight see: http://en.wikipedia.org/wiki/Memoization

Features

• Works with any type of function arguments – no serialization is needed
• Works with any length of function arguments. Length can be set as fixed or dynamic.
• One of the fastest available solutions.
• Support for asynchronous functions
• Primitive mode which assures fast performance when arguments are conversible to strings.
• WeakMap based mode for garbage collection friendly configuration
• Can be configured for methods (when this counts in)
• Cache can be cleared manually or after specified timeout
• Cache size can be limited on LRU basis
• Optionally accepts resolvers that normalize function arguments before passing them to underlying function.
• Optional reference counter mode, that allows more sophisticated cache management
• Profile tool that provides valuable usage statistics
• Covered by over 500 unit tests

Installation

In your project path — note the two e's in memoizee:

$ npm install memoizee

memoize name was already taken, therefore project is published as memoizee on NPM.

To port it to Browser or any other (non CJS) environment, use your favorite CJS bundler. No favorite yet? Try: Browserify, Webmake or Webpack

Usage

var memoize = require('memoizee');

var fn = function (one, two, three) { /* ... */ };

memoized = memoize(fn);

memoized('foo', 3, 'bar');
memoized('foo', 3, 'bar'); // Cache hit

Configuration

All below options can be applied in any combination

Arguments length

By default fixed number of arguments that function take is assumed (it's read from function's length property) this can be overridden:

memoized = memoize(fn, { length: 2 });

memoized('foo');            // Assumed: 'foo', undefined
memoized('foo', undefined); // Cache hit

memoized('foo', 3, {}); // Third argument is ignored (but passed to underlying function)
memoized('foo', 3, 13); // Cache hit

Dynamic length behavior can be forced by setting length to false, that means memoize will work with any number of arguments.

memoized = memoize(fn, { length: false });

memoized('foo');
memoized('foo'); // Cache hit
memoized('foo', undefined);
memoized('foo', undefined); // Cache hit

memoized('foo', 3, {});
memoized('foo', 3, 13);
memoized('foo', 3, 13); // Cache hit

Primitive mode

If we work with large result sets, or memoize hot functions, default mode may not perform as fast as we expect. In that case it's good to run memoization in primitive mode. To provide fast access, results are saved in hash instead of an array. Generated hash ids are result of arguments to string convertion. Mind that this mode will work correctly only if stringified arguments produce unique strings.

memoized = memoize(fn, { primitive: true });

memoized('/path/one');
memoized('/path/one'); // Cache hit

Resolvers

When we're expecting arguments of certain type it's good to coerce them before doing memoization. We can do that by passing additional resolvers array:

memoized = memoize(fn, { length: 2, resolvers: [String, Boolean] });

memoized(12, [1,2,3].length);
memoized("12", true); // Cache hit
memoized({ toString: function () { return "12"; } }, {}); // Cache hit

Note. If your arguments are collections (arrays or hashes) that you want to memoize by content (not by self objects), you need to cast them to strings, for it's best to just use primitive mode. Arrays have standard string representation and work with primitive mode out of a box, for hashes you need to define toString method, that will produce unique string descriptions, or rely on JSON.stringify.

Similarly if you want to memoize functions by their code representation not by their objects, you should use primitive mode.

Memoizing asynchronous functions

With async option we indicate that we memoize asynchronous function.
Operations that result with an error are not cached.

afn = function (a, b, cb) {
  setTimeout(function () {
    cb(null, a + b);
  }, 200);
};
memoized = memoize(afn, { async: true });

memoized(3, 7, function (err, res) {
  memoized(3, 7, function (err, res) {
    // Cache hit
  });
});

memoized(3, 7, function (err, res) {
  // Cache hit
});

Memoizing methods

When we are defining a prototype, we may want to define a method that will memoize it's results in relation to each instance. A basic way to obtain that would be:

var Foo = function () {
  this.bar = memoize(this.bar.bind(this), { someOption: true });
  // ... constructor logic
};
Foo.prototype.bar = function () {
  // ... method logic
};

There's a lazy methods descriptor generator provided:

var d = require('d');
var memoizeMethods = require('memoizee/methods');

var Foo = function () {
  // ... constructor logic
};
Object.defineProperties(Foo.prototype, memoizeMethods({
  bar: d(function () {
    // ... method logic
  }, { someOption: true })
}));

WeakMap based configurations

In this case memoization cache is not bound to memoized function (which we may want to keep forever), but to objects for which given results were generated.

This mode works only for functions of which first argument is expected to be an object.
It can be combined with other options mentioned across documentation. However due to WeakMap specificity global clear is not possible.

var memoize = require('memoizee/weak');

var memoized = memoize(function (obj) { return Object.keys(obj); });

var obj = { foo: true, bar: false };
memoized(obj);
memoized(obj); // Cache hit

Cache handling

Manual clean up:

Delete data for particular call.

memoized.delete('foo', true);

Arguments passed to delete are treated with same rules as input arguments passed to function

Clear all cached data:

memoized.clear();

Expire cache after given period of time

With maxAge option we can ensure that cache for given call is cleared after predefined period of time (in milliseconds)

memoized = memoize(fn, { maxAge: 1000 }); // 1 second

memoized('foo', 3);
memoized('foo', 3); // Cache hit
setTimeout(function () {
  memoized('foo', 3); // No longer in cache, re-executed
  memoized('foo', 3); // Cache hit
}, 2000);

Additionally we may ask to pre-fetch in a background a value that is about to expire. Pre-fetch is invoked only if value is accessed close to its expiry date. By default it needs to be within at least 33% of maxAge timespan before expire:

memoized = memoize(fn, { maxAge: 1000, preFetch: true }); // Defaults to 0.33

memoized('foo', 3);
memoized('foo', 3); // Cache hit

setTimeout(function () {
  memoized('foo', 3); // Cache hit
}, 500);

setTimeout(function () {
  memoized('foo', 3); // Cache hit, silently pre-fetched in next tick
}, 800);

setTimeout(function () {
  memoized('foo', 3); // Cache hit
}, 1300);

Pre-fetch timespan can be customized:

memoized = memoize(fn, { maxAge: 1000, preFetch: 0.6 });

memoized('foo', 3);
memoized('foo', 3); // Cache hit

setTimeout(function () {
  memoized('foo', 3); // Cache hit, silently pre-fetched in next tick
}, 500);

setTimeout(function () {
  memoized('foo', 3); // Cache hit
}, 1300);

Thanks @puzrin for helpful suggestions concerning this functionality

Reference counter

We can track number of references returned from cache, and manually delete them. When the last reference is cleared, the cache is purged automatically:

memoized = memoize(fn, { refCounter: true });

memoized('foo', 3);           // refs: 1
memoized('foo', 3);           // Cache hit, refs: 2
memoized('foo', 3);           // Cache hit, refs: 3
memoized.deleteRef('foo', 3); // refs: 2
memoized.deleteRef('foo', 3); // refs: 1
memoized.deleteRef('foo', 3); // refs: 0, Cache purged for 'foo', 3
memoized('foo', 3);           // Re-executed, refs: 1

Limiting cache size

With max option you can limit cache size, it's backed with LRU algorithm, provided by low-level lru-queue utility

memoized = memoize(fn, { max: 2 });

memoized('foo', 3);
memoized('bar', 7);
memoized('foo', 3);    // Cache hit
memoized('bar', 7);    // Cache hit
memoized('lorem', 11); // Cache cleared for 'foo', 3
memoized('bar', 7);    // Cache hit
memoized('foo', 3);    // Re-executed, Cache cleared for 'lorem', 11
memoized('lorem', 11); // Re-executed, Cache cleared for 'bar', 7
memoized('foo', 3);    // Cache hit
memoized('bar', 7);    // Re-executed, Cache cleared for 'lorem', 11

Registering dispose callback

You can register a callback to be called on each value removed from the cache:

memoized = memoize(fn, { dispose: function (value) { /*…*/ } });

var foo3 = memoized('foo', 3);
var bar7 = memoized('bar', 7);
memoized.clear('foo', 3); // Dispose called with foo3 value
memoized.clear('bar', 7); // Dispose called with bar7 value

Benchmarks

Simple benchmark tests can be found in benchmark folder. Currently it's just plain simple calculation of fibonacci sequences. To run it you need to install other test candidates:

$ npm install underscore lodash lru-cache secondary-cache

Example output taken under Node v0.10.35 on 2011 MBP Pro:

Fibonacci 3000 x10:

1:    15ms  Memoizee (primitive mode)
2:    15ms  Underscore
3:    18ms  lru-cache                 LRU (max: 1000)
4:    21ms  secondary-cache           LRU (max: 1000)
5:    37ms  Lo-dash
6:    62ms  Memoizee (primitive mode) LRU (max: 1000)
7:   163ms  Memoizee (object mode)    LRU (max: 1000)
8:   195ms  Memoizee (object mode)

Profiling & Statistics

If you want to make sure how much you benefit from memoization or just check if memoization works as expected, loading profile module will give access to all valuable information.

Module needs to be imported before any memoization (that we want to track) is configured. Mind also that running profile module affects performance, it's best not to use it in production environment

var memProfile = require('memoizee/profile');

Access statistics at any time:

memProfile.statistics;         // Statistcs accessible for programmatical use
console.log(memProfile.log()); // Output statistics data in readable form

Example console output:

------------------------------------------------------------
Memoize statistics:

 Init  Cache  %Cache  Source location
11604  35682   75.46  (all)
 2112  19901   90.41  at /Users/medikoo/Projects/_packages/next/lib/fs/is-ignored.js:276:12
 2108   9087   81.17  at /Users/medikoo/Projects/_packages/next/lib/fs/is-ignored.js:293:10
 6687   2772   29.31  at /Users/medikoo/Projects/_packages/next/lib/fs/watch.js:125:9
  697   3922   84.91  at /Users/medikoo/Projects/_packages/next/lib/fs/is-ignored.js:277:15
------------------------------------------------------------

• Init – Initial hits
• Cache – Cache hits
• %Cache – What's the percentage of cache hits (of all function calls)
• Source location – Where in the source code given memoization was initialized

Tests

$ npm test

Contributors

• @puzrin (Vitaly Puzrin)
  • Proposal and help with coining right pre-fetch logic for maxAge variant