Celery + gevent仅使用一个CPU内核 [英] Celery + gevent using only one CPU core

问题描述

我在用gevent运行Celery时遇到了性能负载问题，一切都在我的VPS的同一内核上运行.

I've issues with performance load running Celery with gevent, everything is running on the same core on my VPS.

这里是4个Celery实例的屏幕快照，每个实例具有20个gevent并发性.

Here's a screenshot of 4 Celery instance with 20 gevent concurrency each

如何解决此问题?我在做什么错了?

How to fix this ? What am I doing wrong ?

这是我的第一个任务:

def update_sender():
    items = models.Item.objects.filter(active=True).all()
    count = items.count()
    items = [i.id for i in items]
    step = count / settings.WORKERS
    for job in list(chunks(items, step)):
        update_item.apply_async(args=[job])

调用以下子任务:

def update_item(items):
    for item in items:
        try:
            i = models.Item.objects.get(id=item)
            url = "someurl"
            rep = requests.get(url)
            jrep = rep.json()
            tracker = ItemTracker(i, jrep)
            if tracker.skip():
                continue
            if tracker.method1():
                if not tracker.method2():
                    tracker.method3()
                tracker.save()

这都是关于执行大量HTTP请求并同时更新数据库的事情.

It's all about doing a lot of HTTP requests and updating database concurrently.

推荐答案

带有gevent的Celery仍仅使用一个进程，它只是在进程内部启动多个greenlet，但仍一次仅执行一个greenlet.要允许使用多个内核，您需要使用芹菜多

Celery with gevent still only uses a single process, its just starting multiple greenlets inside of the process, but it is still only executing one greenlet at a time. To allow using more than 1 core, you need to start multiple celery processes using something like celery-multi

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