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• Redis, SQS, IronMQ, and in-memory backends.
• Automatically scaling number of goroutines used to fetch (fetcher) and process messages (worker).
• Global rate limiting.
• Global limit of workers.
• Call once - deduplicating messages with same name.
• Automatic retries with exponential backoffs.
• Automatic pausing when all messages in queue fail.
• Fallback handler for processing failed messages.
• Message batching. It is used in SQS and IronMQ backends to add/delete messages in batches.
• Automatic message compression using snappy / s2.

Resources:

• Get started
• Examples
• Discussions
• Chat
• Reference

To get started, see Golang Task Queue documentation.

Producer:

import (
    "github.com/vmihailenco/taskq/v3"
    "github.com/vmihailenco/taskq/v3/redisq"
)

// Create a queue factory.
var QueueFactory = redisq.NewFactory()

// Create a queue.
var MainQueue = QueueFactory.RegisterQueue(&taskq.QueueOptions{
    Name:  "api-worker",
    Redis: Redis, // go-redis client
})

// Register a task.
var CountTask = taskq.RegisterTask(&taskq.TaskOptions{
    Name: "counter",
    Handler: func() error {
        IncrLocalCounter()
        return nil
    },
})

ctx := context.Background()

// And start producing.
for {
	// Call the task without any args.
	err := MainQueue.Add(CountTask.WithArgs(ctx))
	if err != nil {
		panic(err)
	}
	time.Sleep(time.Second)
}

Consumer:

// Start consuming the queue.
if err := MainQueue.Start(context.Background()); err != nil {
    log.Fatal(err)
}

• Golang ORM for PostgreSQL, MySQL, MSSQL, and SQLite
• Golang PostgreSQL
• Golang HTTP router
• Golang ClickHouse

Thanks to all the people who already contributed!