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web-services - 为什么YouTube使用阻止I / O(Why YouTube use blocking I/O)

Can't find new article about YouTube architecture, the last one is from 2012 - " 7 Years Of YouTube Scalability Lessons In 30 Minutes ", and it says:

(找不到有关YouTube体系结构的新文章,上一篇是2012年的文章-“ 30分钟内YouTube的可伸缩性教训7年 ”,其中说:)

YouTube is not asynchronous, everything is blocking.

(YouTube不是异步的,一切都在阻塞。)

Not-very-popular videos are stored at file system.

(不太受欢迎的视频存储在文件系统中。)

I understand that YouTube have I/O concurrency on RAID level (faster I/O), but still some videos may take up to 10 seconds.

(我了解YouTube在RAID级别具有I / O并发(更快的I / O),但是某些视频可能仍需要10秒钟的时间。)

There are so many reactive frameworks now and it's hard to believe YouTube is still blocking.

(现在有许多反应式框架,很难相信YouTube仍在阻止。)

Why YouTube use blocking requests?

(为什么YouTube使用阻止请求?)

Is it still blocking at 2019?

(它在2019年是否仍然受阻?)

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