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@nestjs-redis/throttler-storage

v1.2.0

Published

Redis storage for NestJS Throttler enabling distributed rate limiting across multiple application instances

Downloads

24,611

Readme

@nestjs-redis/throttler-storage

Redis-backed storage for NestJS Throttler enabling distributed rate limiting across instances.

npm version npm downloads License: MIT TypeScript NestJS Redis


Features

  • Distributed rate limiting with Redis
  • Drop-in replacement for in-memory storage
  • Works with existing @nestjs-redis/client connections
  • Client, Cluster and Sentinel support
  • Does not manage Redis connection lifecycle — pass an existing, managed client
  • Six pluggable rate-limiting algorithms via ThrottlerAlgorithm
  • All algorithms implemented as atomic Lua scripts (EVALSHA + NOSCRIPT fallback)
  • Optional block key support: lock out a client for a configurable duration after exceeding the limit

Installation

npm install @nestjs-redis/throttler-storage @nestjs-redis/client redis

The recommended approach is to use RedisModule from @nestjs-redis/client so Redis connections are lifecycle-managed by Nest (connect/disconnect with your app). Alternatively, you can pass your own Redis client (e.g. created with createClient() from redis) and manage its lifecycle yourself.

Quick Start

With existing Redis connection (Recommended)

import { Module } from '@nestjs/common';
import { ThrottlerModule, seconds } from '@nestjs/throttler';
import { RedisModule, RedisToken } from '@nestjs-redis/client';
import { RedisThrottlerStorage } from '@nestjs-redis/throttler-storage';

@Module({
  imports: [
    RedisModule.forRoot({ options: { url: 'redis://localhost:6379' } }),
    ThrottlerModule.forRootAsync({
      inject: [RedisToken()],
      useFactory: (redis) => ({
        throttlers: [{ limit: 5, ttl: seconds(60) }],
        storage: new RedisThrottlerStorage(redis),
      }),
    }),
  ],
})
export class AppModule {}

Without existing Redis connection

If you do not otherwise use Redis in your application, import RedisModule inside forRootAsync to scope the connection to the throttler:

@Module({
  imports: [
    ThrottlerModule.forRootAsync({
      imports: [
        RedisModule.forRoot({ options: { url: 'redis://localhost:6379' } }),
      ],
      inject: [RedisToken()],
      useFactory: (redis) => ({
        throttlers: [{ limit: 5, ttl: seconds(60) }],
        storage: new RedisThrottlerStorage(redis),
      }),
    }),
  ],
})
export class AppModule {}

Without RedisModule

If you do not want to use RedisModule, create a client yourself and manage its lifecycle. RedisThrottlerStorage does not manage the lifecycle of the provided client.

@Module({
  imports: [
    ThrottlerModule.forRootAsync({
      useFactory: async () => {
        const redis = createClient({ url: 'redis://localhost:6379' });
        await redis.connect();
        return {
          throttlers: [{ limit: 5, ttl: seconds(60) }],
          storage: new RedisThrottlerStorage(redis),
        };
      },
    }),
  ],
})
export class AppModule {}

Algorithms

Pass a ThrottlerAlgorithm as the second argument to RedisThrottlerStorage. The default is ThrottlerAlgorithm.FixedWindow.

import {
  RedisThrottlerStorage,
  ThrottlerAlgorithm,
} from '@nestjs-redis/throttler-storage';

new RedisThrottlerStorage(redis, ThrottlerAlgorithm.TokenBucket);

| Algorithm | Memory | Accuracy | Burst handling | Best for | | ---------------------- | ------ | --------------- | -------------------- | ------------------------------------ | | FixedWindow | O(1) | Low at boundary | Up to 2× at boundary | Drop-in NestJS replacement (default) | | SlidingWindowLog | O(n) | Exact | None | Strict per-user limits | | SlidingWindowCounter | O(1) | Good | Smoothed | General-purpose (recommended) | | TokenBucket | O(1) | Good | Yes (up to capacity) | Bursty clients | | LeakyBucketPolicing | O(1) | Good | None (hard reject) | Hard ingress cap, no queuing | | LeakyBucketShaping | O(1) | Good | None (queued) | Smooth output rate with queuing |

FixedWindow is the default because @nestjs/throttler's built-in in-memory storage uses fixed window internally — making this a true drop-in replacement with identical behavior. For new projects, SlidingWindowCounter is the recommended general-purpose choice: near-exact accuracy, low memory and no burst-at-boundary problem.

Learn more — Each algorithm is based on the reference implementations in the Redis rate limiting tutorial.

Custom algorithm

You can also bring your own Lua script. The script receives KEYS[1] (the rate-limit key) and ARGV[1..3] (ttlMs, limit, blockDurationMs), and must return a 4-element array [totalHits, timeToExpireMs, timeToBlockExpireMs, isBlocked].

For a complete example, see fixed-window.algorithm.ts.

new RedisThrottlerStorage(redis, {
  script: `
    local key = KEYS[1]
    local ttl_ms = tonumber(ARGV[1])
    local limit = tonumber(ARGV[2])
    -- ... your logic ...
    return { count, pttl, -1, 0 }
  `,
});

Block duration

All algorithms support an optional block period. When blockDuration is set in your throttler config, a client that exceeds the limit is locked out for the full block duration, even after the rate-limit window resets.

ThrottlerModule.forRootAsync({
  inject: [RedisToken()],
  useFactory: (redis) => ({
    throttlers: [{
      limit: 10,
      ttl: seconds(60),
      blockDuration: seconds(300), // block for 5 minutes after exceeding limit
    }],
    storage: new RedisThrottlerStorage(redis, ThrottlerAlgorithm.SlidingWindowLog),
  }),
}),

Links

Contributing

Please see the root contributing guidelines.

License

MIT © CSenshi