接着上一篇管理python程序的db schema, 本篇介绍远程部署到指定环境(prod or staging).
使用的技术是Capistrano.
环境准备
Clone Template
使用下面的命名获得模版,里面有准备好的各个config以及基本bin包。
git clone https://github.com/flying-bird/python-db-schema
Install Package
cd python-db-schema
bundle install
Change Config
Update config/deploy/production.rb
default config in python-db-schema/config/deploy/production.rb:
➜ python-db-schema git:(master) less config/deploy/production.rb
# Simple Role Syntax
# ==================
# Supports bulk-adding hosts to roles, the primary server in each group
# is considered to be the first unless any hosts have the primary
# property set. Don't declare `role :all`, it's a meta role.
role :app, %w{your_name@prod_env_ip_or_host}
role :web, %w{your_name@prod_env_ip_or_host}
role :db, %w{your_name@prod_env_ip_or_host}
将上面的config的your_name和prod_env_ip_or_host定制成你需要的参数就好。
Update config/deploy.rb
➜ python-db-schema git:(master) less config/deploy.rb
set :application, 'python-db-schema'
set :repo_url, 'https://github.com/flying-bird/python-db-schema'
set :branch, "master"
set :user, "your_account"
set :deploy_via, :copy
set :linked_dirs, %w{log}
set :deploy_to, '/tmp/your_deploy_path'
将上面的config的your_account,your_deploy_path和repo_url定制成你需要的参数就好。
Deploy
你可以在本地使用下面的command,将code部署到production环境。
cap production deploy
在上述命令运行成功之后,登录到prouction env上check下目录结构,如下所示:
your_account@production_host: ls /tmp/python-db-schema
current git-ssh.sh releases repo revisions.log shared
your_account@production_host: ls /tmp/python-db-schema/current
Gemfile Gemfile.lock README.md REVISION Rakefile bin config log src
Migrate DB Schema
将code部署到production之后,apply db schema到production环境。
更新config/database.yml
只要将username/password/database改成特定值就好,笔者的配置如下:
staging:
adapter: mysql2
encoding: utf8
pool: 20
username: mysql
password: 123456
socket: /var/lib/mysql/mysql.sock
host: 192.168.10.111
port: 3306
database: dashboard_test
production:
adapter: mysql2
encoding: utf8
pool: 20
username: mysql
password: 123456
socket: /var/lib/mysql/mysql.sock
host: 192.168.10.222
port: 3306
database: dashboard_production
Apply Schema in Production Env
rake db:migrate RAILS_ENV=production
输出结果如下:
== 20170405024951 CreatePipelineTable: migrating ==============================
-- create_table(:d_pipeline)
-> 0.0355s
== 20170405024951 CreatePipelineTable: migrated (0.0356s) =====================