drye/node-rate-limiter-flexible

Rate limit by key and protection from DDoS and brute force attacks in process Memory, Cluster, Redis, MongoDb, MySQL, PostgreSQL

node-rate-limiter-flexible

rate-limiter-flexible limits number of actions by key and protects from DDoS and brute force attacks at any scale.

Fast. Average request takes 0.7ms in Cluster and 2.5ms in Distributed application.

Flexible. Combine limiters, block key for some duration, delay actions, manage failover with insurance options, configure smart key blocking in memory and many others.

Ready for growth. It provides unified API for all limiters. Whenever your application grows, it is ready. Prepare your limiters in minutes.

Friendly. No matter which node package you prefer: redis or ioredis, sequelize or knex, native driver or mongoose. It works with all of them.

It works in process Memory, Cluster, MongoDB, MySQL, PostgreSQL or Redis allows to control requests rate in single process or distributed environment.

It uses fixed window as it is much faster than rolling window. See comparative benchmarks with other libraries here

⭐ It is STARving, don't forget to feed the beast! ⭐

Advantages:

• TypeScript declaration bundled
• in-memory Block Strategy against really powerful DDoS attacks (like 100k requests per sec) Read about it and benchmarking here
• Insurance Strategy as emergency solution if database / store is down Read about Insurance Strategy here
• backed on native Promises
• works in Cluster without additional software See RateLimiterCluster benchmark and detailed description here
• shape traffic with Leaky Bucket analogy Read about Leaky Bucket analogy
• no race conditions
• covered by tests
• no prod dependencies
• useful get, block, penalty and reward methods

Example

const opts = {
  points: 6, // 6 points
  duration: 1, // Per second
};

const rateLimiter = new RateLimiterMemory(opts);

rateLimiter.consume(remoteAddress, 2) // consume 2 points
    .then((rateLimiterRes) => {
      // 2 points consumed
    })
    .catch((rateLimiterRes) => {
      // Not enough points to consume
    });

Express middleware

const rateLimiterMiddleware = (req, res, next) => {
  rateLimiter.consume(req.connection.remoteAddress)
    .then(() => {
      next();
    })
    .catch((rejRes) => {
      res.status(429).send('Too Many Requests');
    });
};

Koa middleware

app.use(async (ctx, next) => {
  try {
    await rateLimiter.consume(ctx.ip)
    next()
  } catch (rejRes) {
    ctx.status = 429
    ctx.body = 'Too Many Requests'
  }
})

Docs and Examples

• RateLimiterRedis
• RateLimiterMongo
• RateLimiterMySQL (support Sequelize and Knex)
• RateLimiterPostgres (support Sequelize and Knex)
• RateLimiterCluster (with PM2 support)
• RateLimiterMemory
• RateLimiterUnion Combine 2 or more limiters to act as single
• RLWrapperBlackAndWhite Black and White lists
• Express middleware
• Koa middleware
• Options
• API

Benchmark

Average latency during test pure NodeJS endpoint in cluster of 4 workers with everything set up on one server.

1000 concurrent clients with maximum 2000 requests per sec during 30 seconds.

1. Memory   0.34 ms
2. Cluster  0.69 ms
3. Redis    2.45 ms
4. Mongo    4.75 ms

500 concurrent clients with maximum 1000 req per sec during 30 seconds

5. PostgreSQL 7.48 ms (with connection pool max 100)
6. MySQL     14.59 ms (with connection pool 100)

Installation

npm i rate-limiter-flexible

yarn add rate-limiter-flexible

Options

• keyPrefix Default: 'rlflx' If you need to create several limiters for different purpose.

  Note: for some limiters it should correspond to Storage requirements for tables or collections name, as keyPrefix may be used as their name.

• points Default: 4 Maximum number of points can be consumed over duration

• duration Default: 1 Number of seconds before consumed points are reset

• execEvenly Default: false Delay action to be executed evenly over duration First action in duration is executed without delay. All next allowed actions in current duration are delayed by formula msBeforeDurationEnd / (remainingPoints + 2) with minimum delay of duration * 1000 / points It allows to cut off load peaks similar way to Leaky Bucket. Read detailed Leaky Bucket description

  Note: it isn't recommended to use it for long duration and few points, as it may delay action for too long with default execEvenlyMinDelayMs.

• execEvenlyMinDelayMs Default: duration * 1000 / points Sets minimum delay in milliseconds, when action is delayed with execEvenly

• blockDuration Default: 0 If positive number and consumed more than points in current duration, block for blockDuration seconds.

  It sets consumed points more than allowed points for blockDuration seconds, so actions are rejected.

Options specific to Redis, Mongo, MySQL, PostgreSQL

• storeClient Required Have to be redis, ioredis, mongodb, pg, mysql2, mysql or any other related pool or connection.

• inmemoryBlockOnConsumed Default: 0 Against DDoS attacks. Blocked key isn't checked by requesting Redis, MySQL or Mongo. In-memory blocking works in current process memory.

• inmemoryBlockDuration Default: 0 Block key for inmemoryBlockDuration seconds, if inmemoryBlockOnConsumed or more points are consumed

• insuranceLimiter Default: undefined Instance of RateLimiterAbstract extended object to store limits, when database comes up with any error.

  All data from insuranceLimiter is NOT copied to parent limiter, when error gone

  Note: insuranceLimiter automatically setup blockDuration and execEvenly to same values as in parent to avoid unexpected behaviour

Options specific to MySQL and PostgreSQL

• tableName Default: equals to 'keyPrefix' option By default, limiter creates table for each unique keyPrefix. All limits for all limiters are stored in one table if custom name is set.

• storeType Default: storeClient.constructor.name It is required only for Knex and have to be set to 'knex'

Options specific to MySQL

• dbName Default: 'rtlmtrflx' Database where limits are stored. It is created during creating a limiter

Options specific to Mongo

• dbName Default: 'node-rate-limiter-flexible' Database where limits are stored. It is created during creating a limiter. Doesn't work with Mongoose, as mongoose connection is established to exact database.

Options specific to Cluster

• timeoutMs Default: 5000 Timeout for communication between worker and master over IPC. If master doesn't response in time, promise is rejected with Error

API

RateLimiterRes object

Both Promise resolve and reject returns object of RateLimiterRes class if there is no any error. Object attributes:

RateLimiterRes = {
    msBeforeNext: 250, // Number of milliseconds before next action can be done
    remainingPoints: 0, // Number of remaining points in current duration 
    consumedPoints: 5, // Number of consumed points in current duration 
    isFirstInDuration: false, // action is first in current duration 
}

rateLimiter.consume(key, points = 1)

Returns Promise, which:

• resolved with RateLimiterRes when point(s) is consumed, so action can be done
• rejected only for database limiters if insuranceLimiter isn't setup: when some error happened, where reject reason rejRes is Error object
• rejected only for RateLimiterCluster if insuranceLimiter isn't setup: when timeoutMs exceeded, where reject reason rejRes is Error object
• rejected when there is no points to be consumed, where reject reason rejRes is RateLimiterRes object
• rejected when key is blocked (if block strategy is set up), where reject reason rejRes is RateLimiterRes object

Arguments:

• key is usually IP address or some unique client id
• points number of points consumed. default: 1

rateLimiter.get(key)

Get RateLimiterRes in current duration.

Returns Promise, which:

• resolved with RateLimiterRes if key is set
• resolved with null if key is NOT set or expired
• rejected only for database limiters if insuranceLimiter isn't setup: when some error happened, where reject reason rejRes is Error object
• rejected only for RateLimiterCluster if insuranceLimiter isn't setup: when timeoutMs exceeded, where reject reason rejRes is Error object

Arguments:

• key is usually IP address or some unique client id

rateLimiter.penalty(key, points = 1)

Fine key by points number of points for one duration.

Note: Depending on time penalty may go to next durations

Returns Promise, which:

• resolved with RateLimiterRes
• rejected only for database limiters if insuranceLimiter isn't setup: when some error happened, where reject reason rejRes is Error object
• rejected only for RateLimiterCluster if insuranceLimiter isn't setup: when timeoutMs exceeded, where reject reason rejRes is Error object

rateLimiter.reward(key, points = 1)

Reward key by points number of points for one duration.

Note: Depending on time reward may go to next durations

Returns Promise, which:

• resolved with RateLimiterRes
• rejected only for database limiters if insuranceLimiter isn't setup: when some error happened, where reject reason rejRes is Error object
• rejected only for RateLimiterCluster if insuranceLimiter isn't setup: when timeoutMs exceeded, where reject reason rejRes is Error object

rateLimiter.block(key, secDuration)

Block key for secDuration seconds

Returns Promise, which:

• resolved with RateLimiterRes
• rejected only for database limiters if insuranceLimiter isn't setup: when some error happened, where reject reason rejRes is Error object
• rejected only for RateLimiterCluster if insuranceLimiter isn't setup: when timeoutMs exceeded, where reject reason rejRes is Error object

Contribution

Appreciated, feel free!

Make sure you've launched npm run eslint before creating PR, all errors have to be fixed.

You can try to run npm run eslint-fix to fix some issues.

Any new limiter with storage have to be extended from RateLimiterStoreAbstract. It has to implement at least 3 methods:

• _getRateLimiterRes parses raw data from store to RateLimiterRes object
• _upsert inserts or updates limits data by key and returns raw data
• _get returns raw data by key

All other methods depends on store. See RateLimiterRedis or RateLimiterPostgres for example.