micro-memoize

What is micro-memoize?

micro-memoize is a tiny, performant memoization library for JavaScript. It is designed to cache the results of function calls to improve performance, especially for expensive or frequently called functions. The library is highly configurable and supports various options for customizing the memoization behavior.

What are micro-memoize's main functionalities?

Basic Memoization

This feature allows you to memoize a function so that its results are cached. Subsequent calls with the same arguments will return the cached result instead of recomputing.

const memoize = require('micro-memoize');

const expensiveFunction = (num) => {
  console.log('Computing...');
  return num * num;
};

const memoizedFunction = memoize(expensiveFunction);

console.log(memoizedFunction(5)); // Computing... 25
console.log(memoizedFunction(5)); // 25 (cached result)

Custom Cache Size

This feature allows you to set a custom cache size. Once the cache exceeds this size, the oldest cached results are discarded.

const memoize = require('micro-memoize');

const expensiveFunction = (num) => {
  console.log('Computing...');
  return num * num;
};

const memoizedFunction = memoize(expensiveFunction, { maxSize: 2 });

console.log(memoizedFunction(5)); // Computing... 25
console.log(memoizedFunction(6)); // Computing... 36
console.log(memoizedFunction(5)); // 25 (cached result)
console.log(memoizedFunction(7)); // Computing... 49
console.log(memoizedFunction(6)); // 36 (cached result)
console.log(memoizedFunction(5)); // Computing... 25 (cache size exceeded, recomputed)

Custom Equality Function

This feature allows you to provide a custom equality function to determine if two arguments are equivalent. This is useful for complex data structures where simple equality checks are insufficient.

const memoize = require('micro-memoize');

const expensiveFunction = (obj) => {
  console.log('Computing...');
  return obj.value * obj.value;
};

const isEqual = (a, b) => a.value === b.value;

const memoizedFunction = memoize(expensiveFunction, { isEqual });

console.log(memoizedFunction({ value: 5 })); // Computing... 25
console.log(memoizedFunction({ value: 5 })); // 25 (cached result)

Other packages similar to micro-memoize

lodash.memoize

lodash.memoize is a memoization function from the Lodash library. It provides basic memoization capabilities and is widely used due to Lodash's popularity. However, it may not be as performant or configurable as micro-memoize.

memoizee

memoizee is a highly configurable memoization library that supports various features like cache expiration, custom resolvers, and more. It is more feature-rich compared to micro-memoize but also larger in size.

fast-memoize

fast-memoize is a fast and efficient memoization library focused on performance. It is similar to micro-memoize in terms of speed but offers fewer configuration options.

README

micro-memoize

A tiny, crazy fast memoization library for the 95% use-case

Table of contents

• micro-memoize
  • Table of contents
  • Summary
  • Importing
  • Usage
    • Types
    • Composition
  • Options
    • isEqual
    • isMatchingKey
    • isPromise
    • maxSize
    • onCacheAdd
    • onCacheChange
    • onCacheHit
    • transformKey
  • Additional properties
    • memoized.cache
      • memoized.cache.snapshot
    • memoized.fn
    • memoized.isMemoized
    • memoized.options
  • Benchmarks
    • Single parameter (primitive only)
    • Single parameter (complex object)
    • Multiple parameters (primitives only)
    • Multiple parameters (complex objects)
  • Browser support
  • Node support
  • Development

Summary

As the author of moize, I created a consistently fast memoization library, but moize has a lot of features to satisfy a large number of edge cases. micro-memoize is a simpler approach, focusing on the core feature set with a much smaller footprint (~1.5kB minified+gzipped). Stripping out these edge cases also allows micro-memoize to be faster across the board than moize.

Importing

ESM in browsers:

import memoize from 'micro-memoize';

ESM in NodeJS:

import memoize from 'micro-memoize/mjs';

CommonJS:

const memoize = require('micro-memoize');

Usage

const assembleToObject = (one: string, two: string) => ({ one, two });

const memoized = memoize(assembleToObject);

console.log(memoized('one', 'two')); // {one: 'one', two: 'two'}
console.log(memoized('one', 'two')); // pulled from cache, {one: 'one', two: 'two'}

Types

If you need them, all types are available under the MicroMemoize namespace.

import { MicroMemoize } from 'micro-memoize';

Composition

Starting in 4.0.0, you can compose memoized functions if you want to have multiple types of memoized versions based on different options.

const simple = memoized(fn); // { maxSize: 1 }
const upToFive = memoized(simple, { maxSize: 5 }); // { maxSize: 5 }
const withCustomEquals = memoized(upToFive, { isEqual: deepEqual }); // { maxSize: 5, isEqual: deepEqual }

NOTE: The original function is the function used in the composition, the composition only applies to the options. In the example above, upToFive does not call simple, it calls fn.

Options

isEqual

function(object1: any, object2: any): boolean, defaults to isSameValueZero

Custom method to compare equality of keys, determining whether to pull from cache or not, by comparing each argument in order.

Common use-cases:

• Deep equality comparison
• Limiting the arguments compared

import { deepEqual } from 'fast-equals';

type ContrivedObject = {
  deep: string;
};

const deepObject = (object: {
  foo: ContrivedObject;
  bar: ContrivedObject;
}) => ({
  foo: object.foo,
  bar: object.bar,
});

const memoizedDeepObject = memoize(deepObject, { isEqual: deepEqual });

console.log(
  memoizedDeepObject({
    foo: {
      deep: 'foo',
    },
    bar: {
      deep: 'bar',
    },
    baz: {
      deep: 'baz',
    },
  }),
); // {foo: {deep: 'foo'}, bar: {deep: 'bar'}}

console.log(
  memoizedDeepObject({
    foo: {
      deep: 'foo',
    },
    bar: {
      deep: 'bar',
    },
    baz: {
      deep: 'baz',
    },
  }),
); // pulled from cache

NOTE: The default method tests for SameValueZero equality, which is summarized as strictly equal while also considering NaN equal to NaN.

isMatchingKey

function(object1: any[], object2: any[]): boolean

Custom method to compare equality of keys, determining whether to pull from cache or not, by comparing the entire key.

Common use-cases:

• Comparing the shape of the key
• Matching on values regardless of order
• Serialization of arguments

import { deepEqual } from 'fast-equals';

type ContrivedObject = { foo: string; bar: number };

const deepObject = (object: ContrivedObject) => ({
  foo: object.foo,
  bar: object.bar,
});

const memoizedShape = memoize(deepObject, {
  // receives the full key in cache and the full key of the most recent call
  isMatchingKey(key1, key2) {
    const object1 = key1[0];
    const object2 = key2[0];

    return (
      object1.hasOwnProperty('foo') &&
      object2.hasOwnProperty('foo') &&
      object1.bar === object2.bar
    );
  },
});

console.log(
  memoizedShape({
    foo: 'foo',
    bar: 123,
    baz: 'baz',
  }),
); // {foo: {deep: 'foo'}, bar: {deep: 'bar'}}

console.log(
  memoizedShape({
    foo: 'not foo',
    bar: 123,
    baz: 'baz',
  }),
); // pulled from cache

isPromise

boolean, defaults to false

Identifies the value returned from the method as a Promise, which will result in one of two possible scenarios:

• If the promise is resolved, it will fire the onCacheHit and onCacheChange options
• If the promise is rejected, it will trigger auto-removal from cache

const fn = async (one: string, two: string) => {
  return new Promise((resolve, reject) => {
    setTimeout(() => {
      reject(new Error(JSON.stringify({ one, two })));
    }, 500);
  });
};

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

memoized('one', 'two');

console.log(memoized.cache.snapshot.keys); // [['one', 'two']]
console.log(memoized.cache.snapshot.values); // [Promise]

setTimeout(() => {
  console.log(memoized.cache.snapshot.keys); // []
  console.log(memoized.cache.snapshot.values); // []
}, 1000);

NOTE: If you don't want rejections to auto-remove the entry from cache, set isPromise to false (or simply do not set it), but be aware this will also remove the cache listeners that fire on successful resolution.

maxSize

number, defaults to 1

The number of values to store in cache, based on a Least Recently Used basis. This operates the same as maxSize on moize, with the exception of the default being different.

const manyPossibleArgs = (one: string, two: string) => [one, two];

const memoized = memoize(manyPossibleArgs, { maxSize: 3 });

console.log(memoized('one', 'two')); // ['one', 'two']
console.log(memoized('two', 'three')); // ['two', 'three']
console.log(memoized('three', 'four')); // ['three', 'four']

console.log(memoized('one', 'two')); // pulled from cache
console.log(memoized('two', 'three')); // pulled from cache
console.log(memoized('three', 'four')); // pulled from cache

console.log(memoized('four', 'five')); // ['four', 'five'], drops ['one', 'two'] from cache

NOTE: The default for micro-memoize differs from the default implementation of moize. moize will store an infinite number of results unless restricted, whereas micro-memoize will only store the most recent result. In this way, the default implementation of micro-memoize operates more like moize.simple.

onCacheAdd

function(cache: Cache, options: Options): void

Callback method that executes whenever the cache is added to. This is mainly to allow for higher-order caching managers that use micro-memoize to perform superset functionality on the cache object.

const fn = (one: string, two: string) => [one, two];

const memoized = memoize(fn, {
  maxSize: 2,
  onCacheAdd(cache, options) {
    console.log('cache has been added to: ', cache);
    console.log('memoized method has the following options applied: ', options);
  },
});

memoized('foo', 'bar'); // cache has been added to
memoized('foo', 'bar');
memoized('foo', 'bar');

memoized('bar', 'foo'); // cache has been added to
memoized('bar', 'foo');
memoized('bar', 'foo');

memoized('foo', 'bar');
memoized('foo', 'bar');
memoized('foo', 'bar');

NOTE: This method is not executed when the cache is manually manipulated, only when changed via calling the memoized method.

onCacheChange

function(cache: Cache, options: Options): void

Callback method that executes whenever the cache is added to or the order is updated. This is mainly to allow for higher-order caching managers that use micro-memoize to perform superset functionality on the cache object.

const fn = (one: string, two: string) => [one, two];

const memoized = memoize(fn, {
  maxSize: 2,
  onCacheChange(cache, options) {
    console.log('cache has changed: ', cache);
    console.log('memoized method has the following options applied: ', options);
  },
});

memoized('foo', 'bar'); // cache has changed
memoized('foo', 'bar');
memoized('foo', 'bar');

memoized('bar', 'foo'); // cache has changed
memoized('bar', 'foo');
memoized('bar', 'foo');

memoized('foo', 'bar'); // cache has changed
memoized('foo', 'bar');
memoized('foo', 'bar');

NOTE: This method is not executed when the cache is manually manipulated, only when changed via calling the memoized method. When the execution of other cache listeners (onCacheAdd, onCacheHit) is applicable, this method will execute after those methods.

onCacheHit

function(cache: Cache, options: Options): void

Callback method that executes whenever the cache is hit, whether the order is updated or not. This is mainly to allow for higher-order caching managers that use micro-memoize to perform superset functionality on the cache object.

const fn = (one: string, two: string) => [one, two];

const memoized = memoize(fn, {
  maxSize: 2,
  onCacheHit(cache, options) {
    console.log('cache was hit: ', cache);
    console.log('memoized method has the following options applied: ', options);
  },
});

memoized('foo', 'bar');
memoized('foo', 'bar'); // cache was hit
memoized('foo', 'bar'); // cache was hit

memoized('bar', 'foo');
memoized('bar', 'foo'); // cache was hit
memoized('bar', 'foo'); // cache was hit

memoized('foo', 'bar'); // cache was hit
memoized('foo', 'bar'); // cache was hit
memoized('foo', 'bar'); // cache was hit

NOTE: This method is not executed when the cache is manually manipulated, only when changed via calling the memoized method.

transformKey

function(Array<any>): any

A method that allows you transform the key that is used for caching, if you want to use something other than the pure arguments.

const ignoreFunctionArgs = (one: string, two: () => {}) => [one, two];

const memoized = memoize(ignoreFunctionArgs, {
  transformKey: (args) => [JSON.stringify(args[0])],
});

console.log(memoized('one', () => {})); // ['one', () => {}]
console.log(memoized('one', () => {})); // pulled from cache, ['one', () => {}]

If your transformed keys require something other than SameValueZero equality, you can combine transformKey with isEqual for completely custom key creation and comparison.

const ignoreFunctionArg = (one: string, two: () => void) => [one, two];

const memoized = memoize(ignoreFunctionArg, {
  isMatchingKey: (key1, key2) => key1[0] === key2[0],
  // Cache based on the serialized first parameter
  transformKey: (args) => [JSON.stringify(args[0])],
});

console.log(memoized('one', () => {})); // ['one', () => {}]
console.log(memoized('one', () => {})); // pulled from cache, ['one', () => {}]

Additional properties

memoized.cache

Object

The cache object that is used internally. The shape of this structure:

{
  keys: any[][], // available as MicroMemoize.Key[]
  values: any[] // available as MicroMemoize.Value[]
}

The exposure of this object is to allow for manual manipulation of keys/values (injection, removal, expiration, etc).

const method = (one: string, two: string) => ({ one, two });

const memoized = memoize(method);

memoized.cache.keys.push(['one', 'two']);
memoized.cache.values.push('cached');

console.log(memoized('one', 'two')); // 'cached'

NOTE: moize offers a variety of convenience methods for this manual cache manipulation, and while micro-memoize allows all the same capabilities by exposing the cache, it does not provide any convenience methods.

memoized.cache.snapshot

Object

This is identical to the cache object referenced above, but it is a deep clone created at request, which will provide a persistent snapshot of the values at that time. This is useful when tracking the cache changes over time, as the cache object is mutated internally for performance reasons.

memoized.fn

function

The original function passed to be memoized.

memoized.isMemoized

boolean

Hard-coded to true when the function is memoized. This is useful for introspection, to identify if a method has been memoized or not.

memoized.options

Object

The options passed when creating the memoized method.

Benchmarks

All values provided are the number of operations per second (ops/sec) calculated by the Benchmark suite. Note that underscore, lodash, and ramda do not support mulitple-parameter memoization (which is where micro-memoize really shines), so they are not included in those benchmarks.

Benchmarks was performed on an i7 8-core Arch Linux laptop with 16GB of memory using NodeJS version 10.15.0. The default configuration of each library was tested with a fibonacci calculation based on the following parameters:

• Single primitive = 35
• Single object = {number: 35}
• Multiple primitives = 35, true
• Multiple objects = {number: 35}, {isComplete: true}

NOTE: Not all libraries tested support multiple parameters out of the box, but support the ability to pass a custom resolver. Because these often need to resolve to a string value, a common suggestion is to just JSON.stringify the arguments, so that is what is used when needed.

Single parameter (primitive only)

This is usually what benchmarks target for ... its the least-likely use-case, but the easiest to optimize, often at the expense of more common use-cases.

	Operations / second
fast-memoize	59,069,204
micro-memoize	48,267,295
lru-memoize	46,781,143
Addy Osmani	32,372,414
lodash	29,297,916
ramda	25,054,838
mem	24,848,072
underscore	24,847,818
memoizee	18,272,987
memoizerific	7,302,835

Single parameter (complex object)

This is what most memoization libraries target as the primary use-case, as it removes the complexities of multiple arguments but allows for usage with one to many values.

	Operations / second
micro-memoize	40,360,621
lodash	30,862,028
lru-memoize	25,740,572
memoizee	12,058,375
memoizerific	6,854,855
ramda	2,287,030
underscore	2,270,574
Addy Osmani	2,076,031
mem	2,001,984
fast-memoize	1,591,019

Multiple parameters (primitives only)

This is a very common use-case for function calls, but can be more difficult to optimize because you need to account for multiple possibilities ... did the number of arguments change, are there default arguments, etc.

	Operations / second
micro-memoize	33,546,353
lru-memoize	20,884,669
memoizee	7,831,161
Addy Osmani	6,447,448
memoizerific	5,587,779
mem	2,620,943
underscore	1,617,687
ramda	1,569,167
lodash	1,512,515
fast-memoize	1,376,665

Multiple parameters (complex objects)

This is the most robust use-case, with the same complexities as multiple primitives but managing bulkier objects with additional edge scenarios (destructured with defaults, for example).

	Operations / second
micro-memoize	34,857,438
lru-memoize	20,838,330
memoizee	7,820,066
memoizerific	5,761,357
mem	1,184,550
ramda	1,034,937
underscore	1,021,480
Addy Osmani	1,014,642
lodash	1,014,060
fast-memoize	949,213

Browser support

• Chrome (all versions)
• Firefox (all versions)
• Edge (all versions)
• Opera 15+
• IE 9+
• Safari 6+
• iOS 8+
• Android 4+

Node support

• 4+

Development

Standard stuff, clone the repo and npm install dependencies. The npm scripts available:

• build => run webpack to build development dist file with NODE_ENV=development
• build:minifed => run webpack to build production dist file with NODE_ENV=production
• dev => run webpack dev server to run example app (playground!)
• dist => runs build and build-minified
• lint => run ESLint against all files in the src folder
• prepublish => runs compile-for-publish
• prepublish:compile => run lint, test, transpile:es, transpile:lib, dist
• test => run AVA test functions with NODE_ENV=test
• test:coverage => run test but with nyc for coverage checker
• test:watch => run test, but with persistent watcher
• transpile:lib => run babel against all files in src to create files in lib
• transpile:es => run babel against all files in src to create files in es, preserving ES2015 modules (for pkg.module)

Changelog

4.0.10

• Fix #76 - noUncheckedIndexedAccess support on TS 4.1+