Low commit activity in last 3 years
There's a lot of open issues
No release in over a year
Kill unicorn workers by memory and request counts
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
 Dependencies

Development

>= 0.9.2

Runtime

 Project Readme

unicorn-worker-killer

Unicorn is widely used HTTP-server for Rack applications. One thing we thought Unicorn missed, is killing the Unicorn workers based on the number of requests and consumed memories.

unicorn-worker-killer gem provides automatic restart of Unicorn workers based on 1) max number of requests, and 2) process memory size (RSS), without affecting any requests. This will greatly improves site's stability by avoiding unexpected memory exhaustion at the application nodes.

Install

No external process like god is required. Just install one gem: unicorn-worker-killer.

gem 'unicorn-worker-killer'

Usage

Add these lines to your config.ru. (These lines should be added above the require ::File.expand_path('../config/environment', __FILE__) line.

# Unicorn self-process killer
require 'unicorn/worker_killer'

# Max requests per worker
use Unicorn::WorkerKiller::MaxRequests, 3072, 4096

# Max memory size (RSS) per worker
use Unicorn::WorkerKiller::Oom, (192*(1024**2)), (256*(1024**2))

This gem provides two modules.

Unicorn::WorkerKiller::MaxRequests(max_requests_min=3072, max_requests_max=4096, verbose=false)

This module automatically restarts the Unicorn workers, based on the number of requests which worker processed.

max_requests_min and max_requests_max specify the min and max of maximum requests per worker. The actual limit is decided by rand() between max_requests_min and max_requests_max per worker, to prevent all workers to be dead at the same time. Once the number exceeds the limit, that worker is automatically restarted.

If verbose is set to true, then after every request, your log will show the requests left before restart. This logging is done at the info level.

Unicorn::WorkerKiller::Oom(memory_limit_min=(1024\*\*3), memory_limit_max=(2\*(1024\*\*3)), check_cycle = 16, verbose = false)

This module automatically restarts the Unicorn workers, based on its memory size.

memory_limit_min and memory_limit_max specify the min and max of maximum memory in bytes per worker. The actual limit is decided by rand() between memory_limit_min and memory_limit_max per worker, to prevent all workers to be dead at the same time. Once the memory size exceeds memory_size, that worker is automatically restarted.

The memory size check is done in every check_cycle requests.

If verbose is set to true, then every memory size check will be shown in your logs. This logging is done at the info level.

Special Thanks