docker-compose搭建gitlab｜内存优化

1 环境

• docker
• docker-compose
• 良心云2核4G

2 搭建

• mkdir /home/gitlab
  cd /home/gitlab
  vim docker-compose.yml
  

  version: '3'
  
  services:
    gitlab:
      image: 'gitlab/gitlab-ce:latest'
      restart: always
      container_name: gitlab-ce
      privileged: true
      environment:
        - GITLAB_OMNIBUS_CONFIG=external_url 'http://123.456.789.10'
        - TZ=Asia/Shanghai
      ports:
        - '1080:80'
      volumes:
        - '/home/gitlab/config:/etc/gitlab'
        - '/home/gitlab/logs:/var/log/gitlab'
        - '/home/gitlab/data:/var/opt/gitlab'
  

  注：

  1. 不使用https证书，无需映射443，22端口也无需映射

3 内存优化

• vim /home/gitlab/config/gitlab.rb
  # 添加如下配置
  

  # 关闭业务监控
  prometheus_monitoring['enable'] = false
  puma['enable'] = true
  puma['worker_timeout'] = 60
  # 进程数（最低2，默认cpu核数+1）
  puma['worker_processes'] = 2
  puma['per_worker_max_memory_mb'] = 300
  # sidekiq并发数
  sidekiq['concurrency'] = 16
  # 数据库缓存大小
  postgresql['shared_buffers'] = "256MB"
  # 数据库并发数
  postgresql['max_worker_processes'] = 8
  

• # gitlab-ce重新加载配置，容器id更改为自己的id
  docker exec -it 3nh32nhoeu gitlab-ctl reconfigure
  

启用swap分区也可以优化内存。

---

错误：

• Gitlab 更新后gitlab-ctl reconfigure 提示 can only have one web server puma unicorn 错误

  在更新从老版本更新到14.0版本后，自动更新失败，手动执行gitlab-ctl reconfigure后，程序提示can only have on web server puma unicorn的错误。此错误是由于新版本的gitlab默认使用puma代替unicorn。如果你的配置文件里面以前启动了uncorn的设置，那么就会出现puma和unicorn冲突的问题。解决方法就是把gitlab.rb中的unicorn的配置改为puma相关配置即可。具体参数可以对照此表

  更改完成后再次执行gitlab-ctl reconfigure就可以成功了

  Unicorn	Puma
  unicorn['enable']	puma['enable']
  unicorn['worker_timeout']	puma['worker_timeout']
  unicorn['worker_processes']	puma['worker_processes']
  n/a	puma['ha']
  n/a	puma['min_threads']
  n/a	puma['max_threads']
  unicorn['listen']	puma['listen']
  unicorn['port']	puma['port']
  unicorn['socket']	puma['socket']
  unicorn['pidfile']	puma['pidfile']
  unicorn['tcp_nopush']	n/a
  unicorn['backlog_socket']	n/a
  unicorn['somaxconn']	puma['somaxconn']
  n/a	puma['state_path']
  unicorn['log_directory']	puma['log_directory']
  unicorn['worker_memory_limit_min']	n/a
  unicorn['worker_memory_limit_max']	puma['per_worker_max_memory_mb']
  unicorn['exporter_enabled']	puma['exporter_enabled']
  unicorn['exporter_address']	puma['exporter_address']
  unicorn['exporter_port']	puma['exporter_port']