使用 LightHouse 搭建 Umami 网站统计系统

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猫猫摸大鱼

发布于 2022-07-20 12:30:02

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发布于 2022-07-20 12:30:02

文章被收录于专栏：摸鱼

前言

本文基于 Umami in Docker 以及腾讯云 MySQL 实例，故而参考性不强，更多的是作为防止我自己忘了怎么搭建的一个教程。

本来在使用的是 matomo 统计系统，但是由于 matomo 太过占用服务器（1c2g）资源，而且最近正在迁移网站到其他服务器上，于是就打算用 “相对更加轻量化的matomo” --- Umami 来代替我本来的 matomo ；再加上手里有一台腾讯云的 MySQL 实例，就打算使用 Umami in Docker 以及腾讯云 MySQL 的方案来搭建 Umami 。

1. 配置MySQL

1.1 新建数据库账号

账号名为 umami ，主机为 % 或你的服务器的内网 / 外网 IP ，设置密码

1.2 新建数据库

命名为 umami ，字符集建议为 utf8mb4

1.3 导入数据库

将如下代码保存为 umami.sql 文件，导入数据库 umami

drop table if exists event;
drop table if exists pageview;
drop table if exists session;
drop table if exists website;
drop table if exists account;

create table account (
    user_id int unsigned not null auto_increment primary key,
    username varchar(255) unique not null,
    password varchar(60) not null,
    is_admin bool not null default false,
    created_at timestamp default current_timestamp,
    updated_at timestamp default current_timestamp
) ENGINE=InnoDB COLLATE=utf8_general_ci;

create table website (
    website_id int unsigned not null auto_increment primary key,
    website_uuid varchar(36) unique not null,
    user_id int unsigned not null,
    name varchar(100) not null,
    domain varchar(500),
    share_id varchar(64) unique,
    created_at timestamp default current_timestamp,
    foreign key (user_id) references account(user_id) on delete cascade
) ENGINE=InnoDB COLLATE=utf8_general_ci;

create table session (
    session_id int unsigned not null auto_increment primary key,
    session_uuid varchar(36) unique not null,
    website_id int unsigned not null references website(website_id) on delete cascade,
    created_at timestamp default current_timestamp,
    hostname varchar(100),
    browser varchar(20),
    os varchar(20),
    device varchar(20),
    screen varchar(11),
    language varchar(35),
    country char(2),
    foreign key (website_id) references website(website_id) on delete cascade
) ENGINE=InnoDB COLLATE=utf8_general_ci;

create table pageview (
    view_id int unsigned not null auto_increment primary key,
    website_id int unsigned not null,
    session_id int unsigned not null,
    created_at timestamp default current_timestamp,
    url varchar(500) not null,
    referrer varchar(500),
    foreign key (website_id) references website(website_id) on delete cascade,
    foreign key (session_id) references session(session_id) on delete cascade
) ENGINE=InnoDB COLLATE=utf8_general_ci;

create table event (
    event_id int unsigned not null auto_increment primary key,
    website_id int unsigned not null,
    session_id int unsigned not null,
    created_at timestamp default current_timestamp,
    url varchar(500) not null,
    event_type varchar(50) not null,
    event_value varchar(50) not null,
    foreign key (website_id) references website(website_id) on delete cascade,
    foreign key (session_id) references session(session_id) on delete cascade
) ENGINE=InnoDB COLLATE=utf8_general_ci;

create index website_user_id_idx on website(user_id);

create index session_created_at_idx on session(created_at);
create index session_website_id_idx on session(website_id);

create index pageview_created_at_idx on pageview(created_at);
create index pageview_website_id_idx on pageview(website_id);
create index pageview_session_id_idx on pageview(session_id);
create index pageview_website_id_created_at_idx on pageview(website_id, created_at);
create index pageview_website_id_session_id_created_at_idx on pageview(website_id, session_id, created_at);

create index event_created_at_idx on event(created_at);
create index event_website_id_idx on event(website_id);
create index event_session_id_idx on event(session_id);

insert into account (username, password, is_admin) values ('admin', '$2b$10$BUli0c.muyCW1ErNJc3jL.vFRFtFJWrT8/GcR4A.sUdCznaXiqFXa', true);

2. 运行Umami

先拉取镜像

docker pull ghcr.io/mikecao/umami:mysql-latest

如果国内机拉取速度慢的话，使用

docker pull ghcr.dockerproxy.com/mikecao/umami:mysql-latest

然后 docker run

docker run -d  --name umami  --net=host  -e DATABASE_URL=mysql://umami:password@Mysql_Address:Port/umami   -e DATABASE_TYPE=mysql  -e HASH_SALT=8K95dbd6UvQJxjP2xAek7vDLolirFwzpT8H9MgkYZq   ghcr.io/mikecao/umami:mysql-latest

其中的

HASH_SALT 为哈希加盐，随意输入即可

DATABASE_URL=mysql://username:password@Mysql_Address:Port/databasename

username 为步骤1.1添加的用户名 umami ，

password 为步骤1.1设置的密码，

Mysql_Address 为 MySQL 地址，

Port 为 MySQL 端口，

databasename 为步骤1.2添加的数据库名 umami，

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