Scale Beyond Standard Indexes Handling high-volume read traffic requires going beyond default Postgres sequential scans. By layering customized composite indexes alongside write-through Redis caching rules, database clusters can serve queries in sub-millisecond ranges.
Composite Indexes in Action When queries look up tables using multiple criteria (e.g., status and created dates), single-column index queries fail. Composite index generation resolves this latency:
sql
CREATE INDEX idx_orders_user_status_created
ON orders (user_id, status, created_at DESC);Implementing Redis Pipeline Eviction Avoid network round-trips by running batch pipeline updates for cached database entities:
typescript
import Redis from "ioredis";async function batchCacheUsers(users: { id: string; name: string }[]) { const pipeline = redis.pipeline(); for (const user of users) { pipeline.set(`user:${user.id}`, JSON.stringify(user), "EX", 3600); } await pipeline.exec(); } ```