Data Types Redis in-memory data store. Covers data structures, caching,
and pub/sub. Use for caching and real-time features.
USE WHEN: user mentions "redis", "caching", "session storage", "rate limiting",
"pub/sub", "sorted sets", "in-memory database", "cache invalidation"
DO NOT USE FOR: relational data - use `postgresql` or `mysql` instead,
document storage - use `mongodb` instead, full-text search - use `elasticsearch` instead
claude-dev-suite 11 星标 2026年3月15日
Deep Knowledge : Use mcp__documentation__fetch_docs with technology: redis for comprehensive documentation.
Data Types
Strings
SET user:1:name "John"
GET user:1:name
SETEX session:abc 3600 "user_data" # Expires in 1h
INCR page:views
Hashes
HSET user:1 name "John" email "[email protected] "
HGET user:1 name
HGETALL user:1
HINCRBY user:1 loginCount 1
Lists
npx skills add claude-dev-suite/claude-dev-suite
作者 claude-dev-suite
星标 11
更新时间 2026年3月15日
职业 LPUSH notifications:1 "New message"
RPUSH queue:jobs '{"task": "send_email"}'
LRANGE notifications:1 0 9
LPOP queue:jobs
Sets SADD user:1:roles "admin" "editor"
SISMEMBER user:1:roles "admin"
SMEMBERS user:1:roles
SINTER user:1:friends user:2:friends # Common friends
Sorted Sets ZADD leaderboard 100 "user:1" 200 "user:2"
ZRANGE leaderboard 0 9 REV WITHSCORES # Top 10
ZINCRBY leaderboard 10 "user:1"
Common Patterns
Caching async function getUser(id) {
const cached = await redis.get(`user:${id}`);
if (cached) return JSON.parse(cached);
const user = await db.users.find(id);
await redis.setex(`user:${id}`, 3600, JSON.stringify(user));
return user;
}
Rate Limiting async function rateLimit(ip) {
const key = `ratelimit:${ip}`;
const count = await redis.incr(key);
if (count === 1) await redis.expire(key, 60);
return count <= 100;
}
Production Readiness
Connection Configuration // redis.ts
import Redis from 'ioredis';
const redis = new Redis({
host: process.env.REDIS_HOST,
port: parseInt(process.env.REDIS_PORT || '6379'),
password: process.env.REDIS_PASSWORD,
db: parseInt(process.env.REDIS_DB || '0'),
// Connection pool
maxRetriesPerRequest: 3,
retryStrategy: (times) => {
if (times > 10) return null; // Stop retrying
return Math.min(times * 100, 3000);
},
// TLS for production
tls: process.env.NODE_ENV === 'production' ? {} : undefined,
// Keep-alive
keepAlive: 30000,
connectTimeout: 10000,
});
redis.on('error', (err) => {
console.error('Redis connection error:', err);
});
redis.on('connect', () => {
console.log('Redis connected');
});
export { redis };
Cache Patterns // Generalized cache-aside pattern
async function cacheAside<T>(
key: string,
ttl: number,
fetcher: () => Promise<T>
): Promise<T> {
const cached = await redis.get(key);
if (cached) {
return JSON.parse(cached);
}
const data = await fetcher();
await redis.setex(key, ttl, JSON.stringify(data));
return data;
}
// Cache invalidation
async function invalidatePattern(pattern: string): Promise<void> {
const keys = await redis.keys(pattern);
if (keys.length > 0) {
await redis.del(...keys);
}
}
// Example usage
const user = await cacheAside(
`user:${id}`,
3600, // 1 hour TTL
() => db.users.findUnique({ where: { id } })
);
// On user update
await invalidatePattern(`user:${id}*`);
Rate Limiting (Sliding Window) async function slidingWindowRateLimit(
key: string,
limit: number,
windowSeconds: number
): Promise<{ allowed: boolean; remaining: number }> {
const now = Date.now();
const windowStart = now - windowSeconds * 1000;
const multi = redis.multi();
multi.zremrangebyscore(key, 0, windowStart);
multi.zadd(key, now, `${now}-${Math.random()}`);
multi.zcard(key);
multi.expire(key, windowSeconds);
const results = await multi.exec();
const count = results?.[2]?.[1] as number;
return {
allowed: count <= limit,
remaining: Math.max(0, limit - count),
};
}
Session Storage interface SessionData {
userId: string;
roles: string[];
createdAt: number;
}
async function createSession(userId: string, roles: string[]): Promise<string> {
const sessionId = crypto.randomUUID();
const session: SessionData = {
userId,
roles,
createdAt: Date.now(),
};
await redis.setex(
`session:${sessionId}`,
86400, // 24 hours
JSON.stringify(session)
);
return sessionId;
}
async function getSession(sessionId: string): Promise<SessionData | null> {
const data = await redis.get(`session:${sessionId}`);
return data ? JSON.parse(data) : null;
}
async function deleteSession(sessionId: string): Promise<void> {
await redis.del(`session:${sessionId}`);
}
Distributed Locking async function acquireLock(
resource: string,
ttlMs: number
): Promise<string | null> {
const lockId = crypto.randomUUID();
const result = await redis.set(
`lock:${resource}`,
lockId,
'PX',
ttlMs,
'NX'
);
return result === 'OK' ? lockId : null;
}
async function releaseLock(resource: string, lockId: string): Promise<boolean> {
const script = `
if redis.call("get", KEYS[1]) == ARGV[1] then
return redis.call("del", KEYS[1])
else
return 0
end
`;
const result = await redis.eval(script, 1, `lock:${resource}`, lockId);
return result === 1;
}
Monitoring // Health check
async function healthCheck(): Promise<{ status: string; latency: number }> {
const start = Date.now();
await redis.ping();
return {
status: 'healthy',
latency: Date.now() - start,
};
}
// Key metrics
async function getMetrics() {
const info = await redis.info('stats');
const memory = await redis.info('memory');
return { info, memory };
}
Monitoring Metrics Metric Target Connection pool usage < 80% Cache hit ratio > 90% Latency (p99) < 5ms Memory usage < 80% max
Checklist
When NOT to Use This Skill
Relational data - Use postgresql or mysql for structured data with relationships
Document storage - Use mongodb for complex document structures
Full-text search - Use elasticsearch for search indexing and analytics
Primary database - Redis is for caching/sessions, not as main data store
Large objects - Store references in Redis, data in object storage
Anti-Patterns Anti-Pattern Problem Solution No TTL on keys Memory leak, unbounded growth Always set expiration with SETEX or EXPIRE Storing large objects Performance degradation, memory pressure Keep values small (<100KB), use compression Using KEYS in production Blocks server, O(N) operation Use SCAN for iteration No connection pooling Connection exhaustion Configure pool (ioredis, node-redis) Ignoring eviction policy Random data loss when full Set appropriate policy (allkeys-lru) Single Redis instance Single point of failure Use Redis Cluster or Sentinel No password in production Security vulnerability Always configure AUTH
Quick Troubleshooting Problem Diagnostic Fix Memory full INFO memory, MEMORY STATSIncrease maxmemory, set eviction policy Slow responses SLOWLOG GET 10Optimize queries, use pipelining Connection refused Check maxclients limit Increase limit or fix connection leaks High latency redis-cli --latencyCheck network, enable keep-alive Keys not expiring TTL key returns -1Set TTL on keys, check PERSIST calls Replication lag INFO replicationCheck network, reduce write load
Reference Documentation
Data Types | Skills Pool