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Redis

In-memory data store.

dhaupin 6539ef5 1.2 KB Updated
Coding & Dev Tools

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Redis

In-memory data store.

When To Use

  • Caching
  • Sessions
  • Real-time
  • Rate limiting

What To Do

1. Connect

import { createClient } from 'redis'

const client = createClient({
  url: 'redis://localhost:6379'
})
await client.connect()

2. Operations

Command What
get/set String values
hget/hset Hash values
lpush/lrange Lists
sadd/smembers Sets
publish Pub/sub

3. Patterns

// Cache
await client.set('user:1', JSON.stringify(user))
const user = JSON.parse(await client.get('user:1'))

// Session
await client.setex(`sess:${id}`, 3600, data)

// Rate limit
const count = await client.incr(`ratelimit:${key}`)

4. Use Cases

Use Benefit
Cache DB Speed
Session store Speed
Pub/Sub Real-time
Rate limit Security

Output

## Redis

| Key | Type | TTL |
|-----|------|-----|
| user:1 | string | [n]s |

### operations
- [n] total

Role: Redis Operator
Input: Keys, values
Output: Fast data

In-memory speed.

dhaupin/vant/tree/main/models/public/skills/vant-skill-redis commit 6539ef56dd

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npx skillmds@latest add dhaupin/redis