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

@keyvhq/core

v2.1.1

Published

Simple key-value storage with support for multiple backends

Downloads

85,552

Readme

Last version Coverage Status NPM Status

Keyv is a simple key-value storage with support for multiple backend adapters (MySQL, PostgreSQL, SQLite, Redis, Mongo, DynamoDB, Firestore, Memcached, and more).

Features

Forked from keyv, plus:

  • It isn't bloated.
  • It supports namespaces.
  • It supports TTL based expiry.
  • It has a simple Promise based API.
  • It handles all JSON types plus Buffer.
  • It's support a vary of storages adapters.
  • It can be easily embed inside another module.
  • It works with any storage that implements the Map API.
  • it handles database errors (db failures won't kill your app).
  • It supports the current active LTS version of Node.js or higher.
  • It's suitable as a TTL based cache or persistent key-value store.

Installation

npm install @keyvhq/core --save 

You can optionally install the storage adapter you want to use:

npm install @keyvhq/redis --save
npm install @keyvhq/mongo --save
npm install @keyvhq/sqlite --save
npm install @keyvhq/postgres --save
npm install @keyvhq/mysql --save

If you don't provide a specific storage adapter, a in-memory storage adapter is used by default.

Usage

Just create a new Keyv instance, using an specific storage adapter:

const keyv = new Keyv() // in-memory, by default
const keyvRedis = new Keyv({ store: new KeyvRedis('redis://user:pass@localhost:6379')})
const keyvMongo = new Keyv({ store: new KeyvMongo('mongodb://user:pass@localhost:27017/dbname')})
const keyvSQLite = new Keyv({ store: new KeyvSQLite('sqlite://path/to/database.sqlite')})
const keyvPostgreSQL = new Keyv({ store: new KeyvPostgreSQL('postgresql://user:pass@localhost:5432/dbname')})
const keyvMySQL = new Keyv({ store: new KeyvMySQL('mysql://user:pass@localhost:3306/dbname')})

await keyv.set('foo', 'expires in 1 second', 1000) // true
await keyv.set('foo', 'never expires') // true
await keyv.get('foo') // 'never expires'
await keyv.has('foo') // true
await keyv.delete('foo') // true
await keyv.has('foo') // false
await keyv.clear() // undefined

Namespaces

You can namespace your Keyv instance to avoid key collisions and allow you to clear only a certain namespace while using the same database.

const users = new Keyv({ store: new KeyvRedis('redis://user:pass@localhost:6379'), namespace: 'users' })
const cache = new Keyv({ store: new KeyvRedis('redis://user:pass@localhost:6379'), namespace: 'cache' })

await users.set('foo', 'users') // true
await cache.set('foo', 'cache') // true
await users.get('foo') // 'users'
await cache.get('foo') // 'cache'
await users.clear() // undefined
await users.get('foo') // undefined
await cache.get('foo') // 'cache'

Serialization

Keyv uses json-buffer for data serialization to ensure consistency across different backends.

You can optionally provide your own serialization functions to support extra data types or to serialize to something other than JSON.

The following example is using @keyvhq/compress as serializer:

const KeyvCompress = require('@keyvhq/compress')
const Keyv = require('@keyvhq/core')

const keyv = KeyvCompress(
  new Keyv({
    serialize: v8.serialize,
    deserialize: v8.deserialize
  })
)

Storage adapters

Keyv is designed to be easily embedded into other modules to add cache support.

Caching will work in memory by default and users have the option to also install a Keyv storage adapter and pass in a connection string, or any other storage that implements the Map API.

const KeyvRedis = require('@keyvhq/redis')
const Keyv = require('@keyvhq/core')
const got = require('got')

const cache = new Keyv({ store: new KeyvRedis('redis://user:pass@localhost:6379') })

await got('https://keyv.js.org', { cache })

The recommended pattern is to expose a cache option in your modules options which is passed through to Keyv.

For example, quick-lru is a completely unrelated module that implements the Map API.

const Keyv = require('@keyvhq/core')
const QuickLRU = require('quick-lru')

const lru = new QuickLRU({ maxSize: 1000 })
const keyv = new Keyv({ store: lru })

You should also set a namespace for your module so you can safely call .clear() without clearing unrelated app data.

All the adapters

The official storage adapters are covered by over 150 integration tests to guarantee consistent behaviour. They are lightweight, efficient wrappers over the DB clients making use of indexes and native TTLs where available.

Decorators

Community

You can also use third-party storage adapters or build your own. Keyv will wrap these storage adapters in TTL functionality and handle complex types internally.

API

constructor([options])

Returns a new Keyv instance.

options

Type: Object

The options object is also passed through to the storage adapter. Check your storage adapter docs for any extra options.

namespace

Type: String Default: undefined

Namespace for the current instance.

ttl

Type: Number Default: undefined

Default TTL. Can be overridden by specififying a TTL on .set().

serialize

Type: Function Default: JSONB.stringify

A custom serialization function.

deserialize

Type: Function Default: JSONB.parse

A custom deserialization function.

store

Type: Storage adapter instance Default: new Map()

The storage adapter instance to be used by Keyv.

raw

Type: Boolean Default: false

If set to true the raw DB object Keyv stores internally will be returned instead of just the value.

This contains the TTL timestamp.

.set(key, value, [ttl])

Set a value.

By default keys are persistent. You can set an expiry TTL in milliseconds.

Returns a promise which resolves to true.

.get(key, [options])

Returns a promise which resolves to the retrieved value.

.has(key)

Returns a promise which resolves to a boolean, indicating existence of a key.

.delete(key)

Deletes an entry.

Returns a promise which resolves to true if the key existed, false if not.

.clear()

Delete all entries in the current namespace.

Returns a promise which is resolved when the entries have been cleared.

When calling clear(), on a keyv instance with no namespace, all keys are cleared.

.iterator()

Returns an async iterator, which iterates over all the key-value pairs in the namespace. When called without a namespace, it iterates over all entries in the database.

The iterator shouldn't be used in environments where performance is key, or there are more than 1000 entries in the database, use an ORM or a native driver if you need to iterate over all entries.

License

keyv © Luke Childs, released under the MIT License. Maintained by Microlink with help from contributors.

microlink.io · GitHub microlinkhq · Twitter @microlinkhq