Toshimaru Enomoto <[email protected]> wrote:
> Hi,
> 
> After bumping unicorn from 6.0 to 6.1,
> I observed it reduced memory usage much.
> 
> In production, the memory usage has been almost halved! :0
> Startup memory usage is almost the same, but after a few minutes,
> there is a big difference in the memory usage between v6.0 and v6.1.
> 
> I looked into the cause of this and I found using epoll reduces memory usage.
> https://gist.github.com/toshimaru/c33cfdb2e1b2540ff0481092e8c36745

Quoting the lynx dump of above gist:
> Environment
> 
>      * Ruby 3.1 (ruby:3.1 docker image)
>      * unicorn 6.1
>      * Rails 6.1
> 
> Workload
> 
>      * Run unicorn with 4 worker processes
>      * Request 100 times to unicorn app
> 
> unicorn 6.1 without epoll
> 
>   def prep_readers(readers)
> -   wtr = Unicorn::Waiter.prep_readers(readers)
> -   @timeout *= 500 # to milliseconds for epoll, but halved
> -   wtr
> - rescue
>     require_relative 'select_waiter'
>     @timeout /= 2.0 # halved for IO.select
>     Unicorn::SelectWaiter.new
>   end
> 
> # free -h # before 100 requests
>                total        used        free      shared  buff/cache   
> available
> Mem:           1.9Gi       805Mi       169Mi       199Mi       1.0Gi       
> 797Mi
> Swap:          1.0Gi       155Mi       868Mi
> 
> # free -h # after 100 requests
>                total        used        free      shared  buff/cache   
> available
> Mem:           1.9Gi       943Mi        85Mi       192Mi       956Mi       
> 670Mi
> Swap:          1.0Gi       163Mi       860Mi
> 
> unicorn 6.1 with epoll
> 
>   def prep_readers(readers)
>     wtr = Unicorn::Waiter.prep_readers(readers)
>     @timeout *= 500 # to milliseconds for epoll, but halved
>     wtr
> - rescue
> -   require_relative 'select_waiter'
> -   @timeout /= 2.0 # halved for IO.select
> -   Unicorn::SelectWaiter.new
>   end
> 
> # free -h # before 100 requests
>                total        used        free      shared  buff/cache   
> available
> Mem:           1.9Gi       802Mi       160Mi       192Mi       1.0Gi       
> 811Mi
> Swap:          1.0Gi       163Mi       860Mi
> # free -h # after 100 requests
>                total        used        free      shared  buff/cache   
> available
> Mem:           1.9Gi       805Mi       156Mi       192Mi       1.0Gi       
> 808Mi
> Swap:          1.0Gi       163Mi       860Mi
> 
> Does anyone observe the same enhancement?

I haven't seen it, nor is it expected...
Note: free(1) may be misleading if other processes are active.

What do the VSZ and RSS columns of "ps aux" say?

> Or does anyone have an idea why it happened?

Nobody else responded, so I guess not.

How complex is your application w.r.t memory allocations?  The
epoll code path may use fewer allocations and stack than
IO.select, but I figured it'd be lost in the noise since most
applications do a lot more allocations.

Btw, please don't use gist or similar services for small text
that can easily be inlined w/o HTML/JS overhead on websites.
Some users download and read mail offline; requiring extra network
round-trips decreases the likelyhood your messages will be read.
My mindset as a GNU/Linux hacker remains optimizing everything
for i486 users on dialup :)
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