Golang asynchronous task/job queue with Redis, SQS, IronMQ, and in-memory backends

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Features

• 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

Getting started

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.varQueueFactory=redisq.NewFactory()
// Create a queue.varMainQueue=QueueFactory.RegisterQueue(&taskq.QueueOptions{
Name: "api-worker",
Redis: Redis, // go-redis client
})
// Register a task.varCountTask=taskq.RegisterTask(&taskq.TaskOptions{
Name: "counter",
Handler: func() error {
IncrLocalCounter()
returnnil
},
})
ctx:=context.Background()
// And start producing.for {
// Call the task without any args.err:=MainQueue.Add(CountTask.WithArgs(ctx))
iferr!=nil {
panic(err)
}
time.Sleep(time.Second)
}

Consumer:

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

See also

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

Contributors

Thanks to all the people who already contributed!