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author | Achilleas Pipinellis <axilleas@axilleas.me> | 2016-09-25 13:44:09 +0300 |
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committer | Achilleas Pipinellis <axilleas@axilleas.me> | 2016-10-11 17:13:04 +0300 |
commit | d8f33c0a51d9106ece6cd4bae469e40734e05f85 (patch) | |
tree | f8168d158bb85d303e6dcab953ebf6a26c9dfdd2 /doc/operations/unicorn.md | |
parent | 6602b917f7ffcb8c8e9134ee156ac49c24ed2a9b (diff) |
Move operations/ to new location
[ci skip]
Diffstat (limited to 'doc/operations/unicorn.md')
-rw-r--r-- | doc/operations/unicorn.md | 87 |
1 files changed, 1 insertions, 86 deletions
diff --git a/doc/operations/unicorn.md b/doc/operations/unicorn.md index bad61151bda..fbc9697b755 100644 --- a/doc/operations/unicorn.md +++ b/doc/operations/unicorn.md @@ -1,86 +1 @@ -# Understanding Unicorn and unicorn-worker-killer - -## Unicorn - -GitLab uses [Unicorn](http://unicorn.bogomips.org/), a pre-forking Ruby web -server, to handle web requests (web browsers and Git HTTP clients). Unicorn is -a daemon written in Ruby and C that can load and run a Ruby on Rails -application; in our case the Rails application is GitLab Community Edition or -GitLab Enterprise Edition. - -Unicorn has a multi-process architecture to make better use of available CPU -cores (processes can run on different cores) and to have stronger fault -tolerance (most failures stay isolated in only one process and cannot take down -GitLab entirely). On startup, the Unicorn 'master' process loads a clean Ruby -environment with the GitLab application code, and then spawns 'workers' which -inherit this clean initial environment. The 'master' never handles any -requests, that is left to the workers. The operating system network stack -queues incoming requests and distributes them among the workers. - -In a perfect world, the master would spawn its pool of workers once, and then -the workers handle incoming web requests one after another until the end of -time. In reality, worker processes can crash or time out: if the master notices -that a worker takes too long to handle a request it will terminate the worker -process with SIGKILL ('kill -9'). No matter how the worker process ended, the -master process will replace it with a new 'clean' process again. Unicorn is -designed to be able to replace 'crashed' workers without dropping user -requests. - -This is what a Unicorn worker timeout looks like in `unicorn_stderr.log`. The -master process has PID 56227 below. - -``` -[2015-06-05T10:58:08.660325 #56227] ERROR -- : worker=10 PID:53009 timeout (61s > 60s), killing -[2015-06-05T10:58:08.699360 #56227] ERROR -- : reaped #<Process::Status: pid 53009 SIGKILL (signal 9)> worker=10 -[2015-06-05T10:58:08.708141 #62538] INFO -- : worker=10 spawned pid=62538 -[2015-06-05T10:58:08.708824 #62538] INFO -- : worker=10 ready -``` - -### Tunables - -The main tunables for Unicorn are the number of worker processes and the -request timeout after which the Unicorn master terminates a worker process. -See the [omnibus-gitlab Unicorn settings -documentation](https://gitlab.com/gitlab-org/omnibus-gitlab/blob/master/doc/settings/unicorn.md) -if you want to adjust these settings. - -## unicorn-worker-killer - -GitLab has memory leaks. These memory leaks manifest themselves in long-running -processes, such as Unicorn workers. (The Unicorn master process is not known to -leak memory, probably because it does not handle user requests.) - -To make these memory leaks manageable, GitLab comes with the -[unicorn-worker-killer gem](https://github.com/kzk/unicorn-worker-killer). This -gem [monkey-patches](https://en.wikipedia.org/wiki/Monkey_patch) the Unicorn -workers to do a memory self-check after every 16 requests. If the memory of the -Unicorn worker exceeds a pre-set limit then the worker process exits. The -Unicorn master then automatically replaces the worker process. - -This is a robust way to handle memory leaks: Unicorn is designed to handle -workers that 'crash' so no user requests will be dropped. The -unicorn-worker-killer gem is designed to only terminate a worker process _in -between requests_, so no user requests are affected. - -This is what a Unicorn worker memory restart looks like in unicorn_stderr.log. -You see that worker 4 (PID 125918) is inspecting itself and decides to exit. -The threshold memory value was 254802235 bytes, about 250MB. With GitLab this -threshold is a random value between 200 and 250 MB. The master process (PID -117565) then reaps the worker process and spawns a new 'worker 4' with PID -127549. - -``` -[2015-06-05T12:07:41.828374 #125918] WARN -- : #<Unicorn::HttpServer:0x00000002734770>: worker (pid: 125918) exceeds memory limit (256413696 bytes > 254802235 bytes) -[2015-06-05T12:07:41.828472 #125918] WARN -- : Unicorn::WorkerKiller send SIGQUIT (pid: 125918) alive: 23 sec (trial 1) -[2015-06-05T12:07:42.025916 #117565] INFO -- : reaped #<Process::Status: pid 125918 exit 0> worker=4 -[2015-06-05T12:07:42.034527 #127549] INFO -- : worker=4 spawned pid=127549 -[2015-06-05T12:07:42.035217 #127549] INFO -- : worker=4 ready -``` - -One other thing that stands out in the log snippet above, taken from -GitLab.com, is that 'worker 4' was serving requests for only 23 seconds. This -is a normal value for our current GitLab.com setup and traffic. - -The high frequency of Unicorn memory restarts on some GitLab sites can be a -source of confusion for administrators. Usually they are a [red -herring](https://en.wikipedia.org/wiki/Red_herring). +This document was moved to [administration/operations/unicorn](../administration/operations/unicorn.md). |