npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

yeezy-cache

v0.3.0

Published

Simple, light, function caching.

Downloads

2

Readme

Yeezy Cache

Why get cache like other modules? Get cache like Yeezy would.

Yeezy Cache provides simple, light, function result caching (memoization). By wrapping a function in the cache decorator you can avoid repeatedly reaching out to slower external services (such as a database or external API) or performing intensive processing—assuming your functions are pure or deterministic, of course, and therefore can be cached.

Getting Started

First install Yeezy:

npm install --save yeezy-cache 
# or
yarn add yeezy-cache

Next you'll need to configure Yeezy for your use-case (you only need to do this once in your project).

import { InMemoryStorage, configure } from "yeezy-cache"

configure({
    storage: new InMemoryStorage(),
    expiration: 60
})

Caching your first function

The only requirement for memoization is that a function must determine its output solely based on input—that is, the output of a function is the derivative of its input. To do so, simply wrap your function in the cache decorator.

import { cache } from "yeezy-cache"

const increment(input) => input + 1

export default cache(increment)

That's it! The first time you call your cached version of increment() the result will be calculated and cached. All subsequent calls, until the expiration, will be retrieved from your Storage.

Configuring Yeezy

Some options can be set at the global level. The storage option informs Yeezy where to store your cached items. The expiration option sets the default amount of time (in seconds) to cache results.

import { configure, InMemoryStorage } from "yeezy-cache"

configure({
    storage: new InMemoryStorage(),
    expiration: 60
})

The cache decorator also has optional parameters that can configure storage and expiration on a per-function cache basis.

import { cache } from "yeezy-cache"
import { RedisStorage } from "yeezy-cache-redis"

export default cache({
    storage: RedisStorage(),
    expiration: 120
})(increment)

Preventing Collisions

Yeezy tries to be as simple as possible to use. However, if you cache two functions with the same name and same number and types of arguments collisions will occur. By default Yeezy hashes the function name and arguments to produce a key which references the function's cached result. Therefore, in these edge-cases, it is required you use the key option to prevent collisions.

import { cache } from "yeezy-cache"

export default cache({
    key: 'plus-one-increment'
})(increment)

Storage

Yeezy ships with an InMemoryStorage object for experimentation, but also includes an interface (IStorage) for extending to any caching mechanism of choice.

Wishlist

  • Create Redis Storage module (yeezy-cache-redis).
  • Tests
  • Support specifying key hashing or encoding algorithm (base-64, sha-256, sha-512 etc.)
  • Support options for encrypting values for sensitive data storage.
  • Support logging options (e.g., log when caching, log when pulled from cache, etc.)