First add it to $GOPATH
go get github.com/Joker666/cogman
Then add configuration for rabbitmq for messaging, redis as backend, optionally mongodb as backend for re-enqueuing feature.
Start the server to consume the tasks and start the client session to send tasks to server. Start server and client.
Write task handlers and register them.
Send the tasks to process.
And voila!, you have set up the simplest background processing job server.
You should see something like this when everything is up and running
In python world you have Celery, in Ruby world you have Resque, SideKiq, in C# Hangfire. All of them had one thing in common, simple interface to get started. When building products in Golang, this was apparent that, there is no library with a simple interface. We have Machinery, which is an excellent library, but has a steep learning curve. Also it has tonnes of features baked in that you do not need but is required anyway.
Also the way it handled processing of future tasks with RabbitMQ's Dead Letter Exchange, we were not very fond of it. So we decided to make our own job processing library. This is a opinionated library as it uses RabbitMQ as the message broker and Redis and optionally MongoDB backend for more features. This setup has worked great for us in production and under stress and I believe this can work for large tasks as well
- Go
- RabbitMQ
- Redis
- MongoDB (optional)
- Task Priority
- Persistence
- Queue type
- Retries
- Multiple consumer & server
- Concurrency
- Redis and Mongo log
- Re-enqueue recovered task
- Handle Reconnection
- UI
- Rest API
Cogman api config example.
cfg := &config.Config{
ConnectionTimeout: time.Minute * 10, // default value 10 minutes
RequestTimeout : time.Second * 5, // default value 5 second
AmqpURI : "amqp://localhost:5672", // required
RedisURI: "redis://localhost:6379/0", // required
MongoURI: "mongodb://root:secret@localhost:27017/", // optional
RedisTTL: time.Hour * 24 * 7, // optional. default value 1 week
MongoTTL: time.Hour * 24 * 30, // optional. default value 1 month
HighPriorityQueueCount: 2, // optional. default value 1
LowPriorityQueueCount : 4, // optional. default value 1
StartRestServer: true // optional. default value false
}
Client & Server also has individual config file to use them separately.
This Cogman api call will start a client and a server.
if err := cogman.StartBackground(cfg); err != nil {
log.Fatal(err)
}
Instead, if you want you can initiate Client & Server individually:
// Client
client, err := cogman.NewSession(cfg)
if err != nil {
log.Fatal(err)
}
if err := client.Connect(); err != nil {
log.Fatal(err)
}
// Server
server, err := cogman.NewServer(cfg)
if err != nil {
log.Fatal(err)
}
go func() {
defer server.Stop()
if err = server.Start(); err != nil {
log.Fatal(err)
}
}()
Tasks are grouped by two priority level. Based on that it will be assigned to a queue.
type Task struct {
TaskID string // unique. ID should be assigned by Cogman.
Name string // required. And Task name must be registered with a task handler
OriginalTaskID string // a retry task will carry it's parents ID.
PrimaryKey string // optional. Client can set any key to trace a task.
Retry int // default value 0.
Prefetch int // optional. Number of task fetch from queue by consumer at a time.
Payload []byte // required
Priority TaskPriority // required. High or Low
Status Status // current task status
FailError string // default empty. If Status is failed, it must have a value.
Duration *float64 // task execution time.
CreatedAt time.Time // create time.
UpdatedAt time.Time // last update time.
}
Any struct can be passed as a handler it implements below interface
:
type Handler interface {
Do(ctx context.Context, payload []byte) error
}
A function type HandlerFunc
also can pass as handler.
type HandlerFunc func(ctx context.Context, payload []byte) error
func (h HandlerFunc) Do(ctx context.Context, payload []byte) error {
return h(ctx, payload)
}
// Register task handler from Server side
server.Register(taskName, handler)
server.Register(taskName, handlerFunc)
Sending task using Cogman API:
if err := cogman.SendTask(*task, handler); err != nil {
log.Fatal(err)
}
// If a task handler is already registered, you can pass nil.
if err := cogman.SendTask(*task, nil); err != nil {
log.Fatal(err)
}
Sending task using Cogman Client/Server:
// Sending task from client
if err := client.SendTask(task); err != nil {
return err
}
Cogman queue type:
- High_Priority_Queue [default Queue]
- Low_Priority_Queue [lazy Queue]
There are two types queues that Cogman maintains. Default & Lazy queue. High priority tasks would be pushed to default queue and low priority task would be pushed to lazy queue. The number of each type of queues can be set by client/server through configuration. Queue won't be lost after any sort of connection interruption.
Cogman Client & Server both handles reconnection. If the client loses connection, it can still take tasks, and those will be processed immediate after Cogman client gets back the connection. After Server reconnects, it will start to consume tasks without losing any task.
Re-enqueue feature to recover all the initiated task those are lost for connection error. If client somehow loses the amqp connection, Cogman can still take the task in offline. All offline task will be re-queue after connection re-established. Cogman fetches all the offline tasks from mongo logs, and re-initiate them. Mongo connection required here. For re-enqueuing, task retry count would not change.
Comparison among the other job/task process runner.
Feature | Cogman | Machinery |
---|---|---|
Backend | redis/mongo | redis |
Priorities | ✓ | ✓ |
Re-Enqueue | ✓ | |
Concurrency | ✓ | ✓ |
Re-Connection | ✓ | |
Delayed jobs | ✓ | |
Concurrent client/server | ✓ | |
Re-try | ✓ | ✓ |
Persistence | ✓ | ✓ |
UI | ||
Rest API | ✓ | |
Chain | ✓ | |
Chords | ✓ | |
Groups | ✓ |
Want to contribute? Great!
To fix a bug or enhance an existing module, follow these steps:
- Fork the repo
- Create a new branch (
git checkout -b improve-feature
) - Make the appropriate changes in the files
- Add changes to reflect the changes made
- Commit your changes (
git commit -am 'Improve feature'
) - Push to the branch (
git push origin improve-feature
) - Create a Pull Request
If you find a bug, kindly open an issue here.
If you'd like to request/add a new function, feel free to do so by opening an issue here.
MIT © MD Ahad Hasan