Comqtt is an embeddable high-performance MQTT broker server written in Go, and supporting distributed cluster, and compliant with the MQTT v3.0 and v3.1.1 and v5.0 specification for the development of IoT and smarthome projects. The server can be used either as a standalone binary or embedded as a library in your own projects. Comqtt message throughput is comparable with everyone's favourites such as Mosquitto, Mosca, and VerneMQ.

👍 Comqtt code is cleaner, easier to read, customize, and extend than other Mqtt Broker code! 😍

👍 If you like this project or it's useful to you, please give it a STAR, let more people know about it, and contribute in it's maintenance together! 💪

📦 💬 See Github Discussions for discussions about releases

Ongoing discussion about current and future releases can be found at https://github.com/wind-c/comqtt/discussions

Developers in China can join wechat group discussions at #32

MQTT stands for MQ Telemetry Transport. It is a publish/subscribe, extremely simple and lightweight messaging protocol, designed for constrained devices and low-bandwidth, high-latency or unreliable networks. Learn more

Unless it's a critical issue, new releases typically go out over the weekend. At some point in the future this repo may be converted to an organisation, or collaborators added if the project continues to grow.

• Full MQTTv5 Feature Compliance, compatibility for MQTT v3.1.1 and v3.0.0.
• TCP, Websocket, (including SSL/TLS) and Dashboard listeners.
• File-based server, auth, storage and bridge configuration, Click to see config examples.
• Auth and ACL Plugin is supported Redis, HTTP, Mysql and PostgreSql.
• Packets are bridged to kafka according to the configured rule.
• Single-machine mode supports local storage BBolt, Badger and Redis.
• Hook design pattern makes it easy to develop plugins for Auth, Bridge, and Storage.
• Cluster support is based on Gossip and Raft, Click to Cluster README.

• Dashboard.
• Rule engine.
• Bridge(Other Mqtt Broker、RocketMQ、RabbitMQ).
• Enhanced Metrics support.
• CoAP.

Comqtt can be used as a standalone broker. Simply checkout this repository and run the cmd/single/main.go entrypoint in the cmd folder which will expose tcp (:1883), websocket (:1882), and dashboard (:8080) listeners.

cd cmd
go build -o comqtt ./single/main.go

./comqtt
or
./comqtt --conf=./config/single.yml

If you want to obtain the bridge and multiple authentication capabilities, you need to use the configuration file to start.Click to config example.

A simple Dockerfile is provided for running the cmd/single/main.go Websocket, TCP, and Stats server:

docker build -t comqtt:latest .
docker run -p 1883:1883 -p 1882:1882 -p 8080:8080 comqtt:latest

Importing Comqtt as a package requires just a few lines of code to get started.

import (
  "log"

  "github.com/wind-c/comqtt/v2/mqtt"
  "github.com/wind-c/comqtt/v2/mqtt/hooks/auth"
  "github.com/wind-c/comqtt/v2/mqtt/listeners"
)

func main() {
  // Create the new MQTT Server.
  server := mqtt.New(nil)

  // Allow all connections.
  _ = server.AddHook(new(auth.AllowHook), nil)

  // Create a TCP listener on a standard port.
  tcp := listeners.NewTCP("t1", ":1883", nil)
  err := server.AddListener(tcp)
  if err != nil {
    log.Fatal(err)
  }

  err = server.Serve()
  if err != nil {
    log.Fatal(err)
  }
}

Examples of running the broker with various configurations can be found in the mqtt/examples folder.

The server comes with a variety of pre-packaged network listeners which allow the broker to accept connections on different protocols. The current listeners are:

Use the listeners.Listener interface to develop new listeners. If you do, please let us know!

A *listeners.Config may be passed to configure TLS.

Examples of usage can be found in the mqtt/examples folder or cmd/single/main.go.

A number of configurable options are available which can be used to alter the behaviour or restrict access to certain features in the server.

server := mqtt.New(&mqtt.Options{
  Capabilities: mqtt.Capabilities{
    MaximumSessionExpiryInterval: 3600,
    Compatibilities: mqtt.Compatibilities{
      ObscureNotAuthorized: true,
    },
  },
  ClientNetWriteBufferSize: 1024,
  ClientNetReadBufferSize: 1024,
  SysTopicResendInterval: 10,
})

Review the mqtt.Options, mqtt.Capabilities, and mqtt.Compatibilities structs for a comprehensive list of options.

A universal event hooks system allows developers to hook into various parts of the server and client life cycle to add and modify functionality of the broker. These universal hooks are used to provide everything from authentication, persistent storage, to debugging tools.

Hooks are stackable - you can add multiple hooks to a server, and they will be run in the order they were added. Some hooks modify values, and these modified values will be passed to the subsequent hooks before being returned to the runtime code.

Many of the internal server functions are now exposed to developers, so you can make your own Hooks by using the above as examples. If you do, please Open an issue and let everyone know!

Currently, Auth and ACL support the following back-end storage: Redis, Mysql, Postgresql, and Http. User password supported encryption algorithm: 0 no encrypt, 1 bcrypt(cost=10), 2 md5, 3 sha1, 4 sha256, 5 sha512, 6 hmac-sha1, 7 hmac-sha256, 8 hmac-sha512.

The following uses the postgresql and bcrypt encryption algorithms as examples.

The schema required is as follows:

BEGIN;
CREATE TABLE mqtt_user (
    id serial PRIMARY KEY,
    username TEXT NOT NULL UNIQUE,
    password TEXT NOT NULL,
    allow smallint DEFAULT 1 NOT NULL,
    created timestamp with time zone DEFAULT NOW(),
    updated timestamp
);

CREATE TABLE mqtt_acl(
    id serial PRIMARY KEY,
    username TEXT NOT NULL,
    topic TEXT NOT NULL,
    access smallint DEFAULT 3 NOT NULL,
    created timestamp with time zone DEFAULT NOW(),
    updated timestamp
);
CREATE INDEX mqtt_acl_username_idx ON mqtt_acl(username);
COMMIT;

Note that password for MQTT clients stored in PostgreSQL is stored as bcrypt hashed passwords. Therefore, to create / update new MQTT clients you can use this Python snippet:

import bcrypt
salt = bcrypt.gensalt(rounds=10)
hashed = bcrypt.hashpw(b"VeryVerySecretPa55w0rd", salt)
print(f"Password hash for MQTT client: {hashed}")

Go snippet:

import "golang.org/x/crypto/bcrypt"
hashed, err := bcrypt.GenerateFromPassword(pwd, bcrypt.DefaultCost)
if err != nil {
	return 
}
println("Password hash for MQTT client: ", hashed)

The schema required is as follows:

BEGIN;
CREATE TABLE auth (
    id INT AUTO_INCREMENT PRIMARY KEY,
    username VARCHAR(255) NOT NULL UNIQUE,
    password VARCHAR(255) NOT NULL,
    allow SMALLINT DEFAULT 1 NOT NULL,
    created TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated TIMESTAMP NULL
);
CREATE TABLE acl (
    id INT AUTO_INCREMENT PRIMARY KEY,
    username VARCHAR(255) NOT NULL,
    topic VARCHAR(255) NOT NULL,
    access SMALLINT DEFAULT 3 NOT NULL,
    created TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated TIMESTAMP NULL
);
CREATE INDEX acl_username_idx ON acl(username);
COMMIT;

By default, Comqtt uses a DENY-ALL access control rule. To allow connections, this must overwritten using an Access Control hook. The simplest of these hooks is the auth.AllowAll hook, which provides ALLOW-ALL rules to all connections, subscriptions, and publishing. It's also the simplest hook to use:

server := mqtt.New(nil)
_ = server.AddHook(new(auth.AllowHook), nil)

Don't do this if you are exposing your server to the internet or untrusted networks - it should really be used for development, testing, and debugging only.

The Auth Ledger hook provides a sophisticated mechanism for defining access rules in a struct format. Auth ledger rules come in two forms: Auth rules (connection), and ACL rules (publish subscribe).

Auth rules have 4 optional criteria and an assertion flag:

ACL rules have 3 optional criteria and an filter match:

Rules are processed in index order (0,1,2,3), returning on the first matching rule. See hooks/auth/ledger.go to review the structs.

server := mqtt.New(nil)
err := server.AddHook(new(auth.Hook), &auth.Options{
    Ledger: &auth.Ledger{
    Auth: auth.AuthRules{ // Auth disallows all by default
      {Username: "peach", Password: "password1", Allow: true},
      {Username: "melon", Password: "password2", Allow: true},
      {Remote: "127.0.0.1:*", Allow: true},
      {Remote: "localhost:*", Allow: true},
    },
    ACL: auth.ACLRules{ // ACL allows all by default
      {Remote: "127.0.0.1:*"}, // local superuser allow all
      {
        // user melon can read and write to their own topic
        Username: "melon", Filters: auth.Filters{
          "melon/#":   auth.ReadWrite,
          "updates/#": auth.WriteOnly, // can write to updates, but can't read updates from others
        },
      },
      {
        // Otherwise, no clients have publishing permissions
        Filters: auth.Filters{
          "#":         auth.ReadOnly,
          "updates/#": auth.Deny,
        },
      },
    },
  }
})

The ledger can also be stored as JSON or YAML and loaded using the Data field:

err = server.AddHook(new(auth.Hook), &auth.Options{
    Data: data, // build ledger from byte slice: yaml or json
})

See examples/auth/encoded/main.go for more information.

A basic Redis storage hook is available which provides persistence for the broker. It can be added to the server in the same fashion as any other hook, with several options. It uses github.com/redis/go-redis/v9 under the hook, and is completely configurable through the Options value.

err := server.AddHook(new(redis.Hook), &redis.Options{
  Options: &rv8.Options{
    Addr:     "localhost:6379", // default redis address
    Password: "",               // your password
    DB:       0,                // your redis db
  },
})
if err != nil {
  log.Fatal(err)
}

For more information on how the redis hook works, or how to use it, see the mqtt/examples/persistence/redis/main.go or hooks/storage/redis code.

There's also a BadgerDB storage hook if you prefer file based storage. It can be added and configured in much the same way as the other hooks (with somewhat less options).

err := server.AddHook(new(badger.Hook), &badger.Options{
  Path: badgerPath,
})
if err != nil {
  log.Fatal(err)
}

For more information on how the badger hook works, or how to use it, see the mqtt/examples/persistence/badger/main.go or hooks/storage/badger code.

There is also a BoltDB hook which has been deprecated in favour of Badger, but if you need it, check mqtt/examples/persistence/bolt/main.go.

Many hooks are available for interacting with the broker and client lifecycle. The function signatures for all the hooks and mqtt.Hook interface can be found in mqtt/hooks.go.

The most flexible event hooks are OnPacketRead, OnPacketEncode, and OnPacketSent - these hooks be used to control and modify all incoming and outgoing packets.

If you are building a persistent storage hook, see the existing persistent hooks for inspiration and patterns. If you are building an auth hook, you will need OnACLCheck and OnConnectAuthenticate.

To publish basic message to a topic from within the embedding application, you can use the server.Publish(topic string, payload []byte, retain bool, qos byte) error method.

err := server.Publish("direct/publish", []byte("packet scheduled message"), false, 0)

The Qos byte in this case is only used to set the upper qos limit available for subscribers, as per MQTT v5 spec.

If you want more control, or want to set specific MQTT v5 properties and other values you can create your own publish packets from a client of your choice. This method allows you to inject MQTT packets (no just publish) directly into the runtime as though they had been received by a specific client. Most of the time you'll want to use the special client flag inline=true, as it has unique privileges: it bypasses all ACL and topic validation checks, meaning it can even publish to $SYS topics.

Packet injection can be used for any MQTT packet, including ping requests, subscriptions, etc. And because the Clients structs and methods are now exported, you can even inject packets on behalf of a connected client (if you have a very custom requirements).

cl := server.NewClient(nil, "local", "inline", true)
server.InjectPacket(cl, packets.Packet{
  FixedHeader: packets.FixedHeader{
    Type: packets.Publish,
  },
  TopicName: "direct/publish",
  Payload: []byte("scheduled message"),
})

MQTT packets still need to be correctly formed, so refer our the test packets catalogue and MQTTv5 Specification for inspiration.

See the hooks example to see this feature in action.

Comqtt tests over a thousand scenarios with thoughtfully hand written unit tests to ensure each function does exactly what we expect. You can run the tests using go:

go run --cover ./...

You can check the broker against the Paho Interoperability Test by starting the broker using examples/paho/main.go, and then running the mqtt v5 and v3 tests with python3 client_test5.py from the interoperability folder.

Note that there are currently a number of outstanding issues regarding false negatives in the paho suite, and as such, certain compatibility modes are enabled in the paho/main.go example.

Comqtt performance is comparable with popular brokers such as Mosquitto, EMQX, and others.

Performance benchmarks were tested using MQTT-Stresser on a Apple Macbook Air M2, using cmd/main.go default settings. Taking into account bursts of high and low throughput, the median scores are the most useful. Higher is better.

The values presented in the benchmark are not representative of true messages per second throughput. They rely on an unusual calculation by mqtt-stresser, but are usable as they are consistent across all brokers. Benchmarks are provided as a general performance expectation guideline only. Comparisons are performed using out-of-the-box default configurations.

mqtt-stresser -broker tcp:https://localhost:1883 -num-clients=2 -num-messages=10000

mqtt-stresser -broker tcp:https://localhost:1883 -num-clients=10 -num-messages=10000

Million Message Challenge (hit the server with 1 million messages immediately):

mqtt-stresser -broker tcp:https://localhost:1883 -num-clients=100 -num-messages=10000

Not sure what's going on with EMQX here, perhaps the docker out-of-the-box settings are not optimal, so take it with a pinch of salt as we know for a fact it's a solid piece of software.

Contributions and feedback are both welcomed and encouraged! Open an issue to report a bug, ask a question, or make a feature request.