Starling:如何加快队列速度

发布于 2024-07-15 04:18:31 字数 232 浏览 9 评论 0原文

我今天推出了一个网站,该网站大量使用 Starling 和 Workling 来处理后台任务队列。

流量一直很大,虽然我的服务器 CPU/内存没有承受太大的压力,但作业队列严重备份。

我对 Starling 和 Workling 都缺乏经验,迫切需要了解如何加快队列速度。

这可能是一个非常简单的配置问题,但我们将非常感谢所有建议和想法。

如果您需要更多信息,请告诉我。

I've launched a website today which makes heavy use of Starling and Workling to handle the background task queue.

Traffic has been heavy and although my server CPU/memory has not been under too much strain, the job queue is seriously backing up.

I am inexperienced with both Starling and Workling and urgently need to understand how I can speed up the queue.

This is probably quite a simple configuration issue but all suggestions and thoughts would be very appreciated.

Please let me know if you need more information.

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旧时浪漫 2024-07-22 04:18:31

我最终弄清楚了如何做到这一点,非常简单。 只需从命令行启动更多工作进程 - 有多少内存就可以运行多少个进程。 它们都将从一个或多个 Starling 实例中获取作业,如 workling.yml 中指定的那样。 请注意,:multiple 必须是=> truescript/workling_client 中才能正常工作。

I worked out how to do this in the end, it's very simple. Just start up more workling processes from the command line - there can be as many running as there is memory for. They will all pick up jobs from one or more instances of Starling, as specified in workling.yml. Note that :multiple must be => true in script/workling_client for this to work.

§对你不离不弃 2024-07-22 04:18:31

如果您有权访问另一台服务器,则可以在服务器之间分配任务。 您可能已经看过,但 Railscasts 有一个非常好的对 Starling 和 Workling 的介绍

您还可以在 Google 图书上查看一本书,其中包含更多高级信息:

实用的 Rails 插件

If you have access to another server you can split the tasks up between the servers. You've probably seen it but Railscasts has a pretty good introduction to Starling and Workling.

There is also a book you can view on Google books with more advanced information:

Practical Rails Plugins

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