WebAug 21, 2024 · RQ has a lot in common with Celery, but it is way simpler, and could vastly reduce our project’s complexity. In order to get a feel of RQ’s design concepts and … WebYes 100%. Async helps a single request. Celery helps do stuff in the background across hundred of servers. If all you use celery for is to send emails? Sure dump it. But like 95% of my workload is celery crunching, not even on my webservers. Async doesn’t do anything for it. dikamilo • 2 yr. ago Agreed. Scalability with Celery is fantastic.
Lambdify — новый взгляд на работу с AWS Lambda / Хабр
Web我正在尝试在Django应用程序中运行Pytorch模型.由于不建议在视图中执行模型(或任何长期运行的任务),因此我决定在芹菜任务中运行它.我的模型很大,加载大约需要12秒钟,大约需要3秒才能推断.这就是为什么我决定按照每个请求负担得起的负担.因此,我尝试将其加载在设置中,并将其保存在此处以 ... WebFeb 5, 2024 · It’s plausible to think that after a few seconds the API, web service, or anything you are using may be back on track and working again. In this cases, you may … le grand andely
How to generate Queues per user inside celery? - Stack Overflow
WebApr 26, 2024 · In celery the only way to achieve this is by routing those tasks to a different server. RQ and huey only work with python, Celery works with python, go and node too. Type of queues WebFeb 27, 2024 · Both celery/RQ generate a main. Redis has other uses beyond being a queue: it can be a simple cache that you application accesses on the same server before … WebIf you’re familiar with Celery, you might be used to its @task decorator. Starting from RQ >= 0.3, there exists a similar decorator: from rq.decorators import job @job('low', connection=my_redis_conn, timeout=5) def add(x, y): return x + y job = add.delay(3, 4) time.sleep(1) print(job.result) # Changed to job.return_value () in RQ >= 1.12.0 legrand armadio