taskq
BeanstalkD
taskq | BeanstalkD | |
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7 | 14 | |
1,200 | 6,477 | |
- | 0.2% | |
0.0 | 0.0 | |
7 months ago | 1 day ago | |
Go | C | |
BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
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taskq
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What is the best task queue?
Hi, I'm starting a new project that involves distributing task on different (and possibly distributed) workers in Golang. So I'm looking for the best task queue library to use; for now the ones I like are the following (in no particular order): - asynq - machinery - taskq
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Are there any actively maintained or official Golang libraries for managing work queues?
+ taskq
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Golang task queue
I had a look at: 1. machinery - https://github.com/RichardKnop/machinery 2. go-celery - https://github.com/gocelery/gocelery 3. asynq - https://github.com/hibiken/asynq 3. taskq - https://github.com/vmihailenco/taskq
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How to plan and execute a large number of tasks in Go?
Oh my god, I have to deal with a similar system at work and I wish we hadn't tried to handroll this. If its possible you should look into something off-the-shelf. Could Celery work for 1000*10000 tasks? But if you must do it yourself, https://github.com/vmihailenco/taskq looks good
- Redis messaging queue suggestions
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Kafka Message Task Queue
I was looking at https://github.com/vmihailenco/taskq to use potentially to manage tasks being picked up by a set of workers. Since we already have a Kakfa expertise I was looking to potentially use that instead.
- Switching from Celery and Python to Go
BeanstalkD
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Ruby 3.3
There's beanstalkd, it has a few Python libraries and it works out of the box with ActiveJob via Backburner.
https://beanstalkd.github.io/
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A Developer's Journal: Simplifying the Twelve-Factor App
Messaging/Queueing Systems (Amazon SQS, RabbitMQ, Beanstalkd)
- Load Balancing
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SQL Maxis: Why We Ditched RabbitMQ and Replaced It with a Postgres Queue
Not when a queue is involved. IME trying to replicate something like beanstalkd (https://beanstalkd.github.io/) in postgres is asking for trouble for anything but trivial workloads.
If you're measuring throughput in jobs/s, use a real work queue.
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Christmas giveaway: 10 copies of my book Domain-driven Design with Golang book, also AMA
Before Kafka was a standard, I created a go library for beanstalkd that act like an RPC.
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PHP parallel processing idea
Then there are queue libraries like beanstalkd, RabbitMQ or built-in features like queues from Laravel. These will probably get you quicker to your goal then trying the process managing route.
- How to do distributed cronjobs with worker queues?
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Write Your Own Task Queue
The only task queue I loved was beanstalkd -- it's beautifully written and highly performant. Starting it takes seconds and it's been running for a decade:
https://beanstalkd.github.io/
- Golang task queue
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What are some popular background job processing frameworks in the Rust ecosystem?
It's not rust (it's C), but beanstalkd is a pretty incredible work queue that processes millions of jobs a day (10K+/s at peak) for my company. I know there are a few rust drivers available.
What are some alternatives?
machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
Benthos - Fancy stream processing made operationally mundane
Apache Kafka - Mirror of Apache Kafka
Asynq - Simple, reliable, and efficient distributed task queue in Go
Gearman
gocelery - Celery Distributed Task Queue in Go
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
go-jdeque - Chunk based deque for Go
celery - Distributed Task Queue (development branch)
lmstfy - A task queue with REST API
nsq - A realtime distributed messaging platform