sqler sql 转rest api 的工具试用
sqler 从开源很快就获取了1k的star,使用起来很方便,而且也很灵活,支持的数据库也比较多。
支持的功能
- 无需依赖,可独立使用;
- 支持多种数据可类型,包括:SQL Server, MYSQL, SQLITE, PostgreSQL, Cockroachdb 等;
- 内置 RESTful 服务器;
- 内置 RESP Redis 协议,可以使用任何 redis 客户端连接到 SQLer;
- 内置 Javascript 解释器,可轻松转换结果;
- 内置验证器;
- 自动使用预备语句;
- 使用(HCL)配置语言;
- 可基于 unix glob 模式加载多个配置文件;
- 每条 SQL 查询可被命名为宏;
- 在每个宏内可使用 Go text/template;
- 每个宏都有自己的 Context(查询参数 + 正文参数)作为.Input(map [string] interface{}),而.Utils是辅助函数列表,目前它只包含 SQLEscape;
- 可自定义授权程序,授权程序只是一个简单的 webhook,sqler 使用这个 webhook 验证是否应该完成某请求
测试环境准备
为了方便测试,我制作了一个比较简单的docker 镜像dalongrong/sqler:1.5,对于运行的参数可以通过环境
变量指定
- docker-compose 文件
version: "3"
services:
sqler:
image: dalongrong/sqler:1.5
environment:
- "DSN=root:dalongrong@tcp(mysqldb:3306)/test?multiStatements=true"
ports:
- "3678:3678"
- "8025:8025"
mysqldb:
image: mysql:5.7.16
ports:
- 3306:3306
command: --character-set-server=utf8mb4 --collation-server=utf8mb4_unicode_ci
environment:
MYSQL_ROOT_PASSWORD: dalongrong
MYSQL_DATABASE: test
MYSQL_USER: test
MYSQL_PASSWORD: test
TZ: Asia/Shanghai
- 说明
镜像dalongrong/sqler:1.5 包含一个默认的配置,也可以通过环境指定,配置内容来自官方
内容如下:
// create a macro/endpoint called "_boot",
// this macro is private "used within other macros"
// because it starts with "_".
_boot {
// the query we want to execute
exec = <<SQL
CREATE TABLE IF NOT EXISTS `users` (
`ID` INT UNSIGNED AUTO_INCREMENT PRIMARY KEY,
`name` VARCHAR(30) DEFAULT "@anonymous",
`email` VARCHAR(30) DEFAULT "@anonymous",
`password` VARCHAR(200) DEFAULT "",
`time` INT UNSIGNED
);
SQL
}
// adduser macro/endpoint, just hit `/adduser` with
// a `?user_name=&user_email=` or json `POST` request
// with the same fields.
adduser {
// what request method will this macro be called
// default: ["ANY"]
methods = ["POST"]
// authorizers,
// sqler will attempt to send the incoming authorization header
// to the provided endpoint(s) as `Authorization`,
// each endpoint MUST return `200 OK` so sqler can continue, other wise,
// sqler will break the request and return back the client with the error occured.
// each authorizer has a method and a url, if you ignored the method
// it will be automatically set to `GET`.
// authorizers = ["GET http://web.hook/api/authorize", "GET http://web.hook/api/allowed?roles=admin,root,super_admin"]
// the validation rules
// you can specifiy seprated rules for each request method!
rules {
user_name = ["required"]
user_email = ["required", "email"]
user_password = ["required", "stringlength: 5,50"]
}
// the query to be executed
exec = <<SQL
{{ template "_boot" }}
/* let's bind a vars to be used within our internal prepared statment */
{{ .BindVar "name" .Input.user_name }}
{{ .BindVar "email" .Input.user_email }}
{{ .BindVar "emailx" .Input.user_email }}
INSERT INTO users(name, email, password, time) VALUES(
/* we added it above */
:name,
/* we added it above */
:email,
/* it will be secured anyway because it is encoded */
'{{ .Input.user_password | .Hash "bcrypt" }}',
/* generate a unix timestamp "seconds" */
{{ .UnixTime }}
);
SELECT * FROM users WHERE id = LAST_INSERT_ID();
SQL
}
// list all databases, and run a transformer function
databases {
exec = "SHOW DATABASES"
transformer = <<JS
// there is a global variable called `$result`,
// `$result` holds the result of the sql execution.
(function(){
newResult = []
for ( i in $result ) {
newResult.push($result[i].Database)
}
return newResult
})()
JS
}
运行&&测试
- 运行
docker-compose up -d
- 添加数据
rest 接口地址为8025
添加数据curl 命令
curl -X POST \
http://localhost:8025/adduser \
-H 'Content-Type: application/json' \
-H 'Postman-Token: a7784ea1-9f50-46ee-92ac-1d850334f3f1' \
-H 'cache-control: no-cache' \
-d '{
"user_name":"dalong",
"user_email":"1141591465@qq.com",
"user_password":"dalongdemo"
}'
返回结果
{
"data": [
{
"ID": 1,
"email": "1141591465@qq.com",
"name": "dalong",
"password": "$2a$10$nfPllaq3AqYDwu4SQTskWeN0BphHCoBzwmb4rj6Q0OB21voBHCZke",
"time": 1547127497
}
],
"success": true
}
数据库数据
说明
sqler 的设计很方便,我们通过简单的配置就可以创建灵活的rest api 了,很强大,而且内置的认证处理,数据校验。。。
参考资料
https://www.infoq.cn/article/LZxqJd-ZcNiUKcG1APDz
https://github.com/alash3al/sqler
https://github.com/rongfengliang/sqler-docker-compose