SELECT * FROM type inner join article on type.id=article.type_id;
SELECT type.*,article.* FROM type inner join article USING(id);
How to use Mysql using
Example
In normal times, when we do related table queries, it usually looks like this
select * from 表1 inner join 表2 on 表1.相同的列=表2.相同的列;
Then it can be changed to this and it will have the same effect
select 表1的列 from 表1 inner join 表2 on 表1.相同的列=表2 .相同的列
Then it’s okay Change it to this
select * from 表1 inner join 表2 using(相同的列);
First type
SELECT * FROM type,article where type.id=article.type_id;
SELECT * FROM type inner join article on type.id=article.type_id;
Copy after login
SELECT * FROM type inner join article on type.id=article.type_id;
SELECT type.*,article.* FROM type inner join article USING(id);
Copy after login
SELECT type.*,article.* FROM type inner join article USING(id);
##Table
CREATE TABLE `type` ( `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '类型编号', `type_name` varchar(255) DEFAULT '' COMMENT '文章类型名称', `order_num` int(11) NOT NULL DEFAULT '0', `icon` varchar(255) DEFAULT '' COMMENT '自定义图标', PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8 COMMENT='文章类型表'; INSERT INTO `demo`.`type` (`id`, `type_name`, `order_num`, `icon`) VALUES ('1', '前端教程', '1', 'iconclass-9'); INSERT INTO `demo`.`type` (`id`, `type_name`, `order_num`, `icon`) VALUES ('2', '前端工具', '2', 'icontoolset'); INSERT INTO `demo`.`type` (`id`, `type_name`, `order_num`, `icon`) VALUES ('3', '随笔', '9', 'iconnote');
CREATE TABLE `article` ( `id` int(11) NOT NULL AUTO_INCREMENT, `type_id` int(11) DEFAULT '0' COMMENT '文章类型编号', `title` varchar(255) DEFAULT '' COMMENT '文章标题', `article_content` text COMMENT '文章主体内容', `introduce` text COMMENT '文章简介', `add_time` int(11) DEFAULT NULL COMMENT '文章发布时间', `view_count` int(11) DEFAULT '0' COMMENT '浏览次数', PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8 COMMENT='文章内容表'; INSERT INTO `demo`.`article` (`id`, `type_id`, `title`, `article_content`, `introduce`, `add_time`, `view_count`) VALUES ('1', '1', 'Vue3.x 的生命周期和钩子函数', '# 简要描述\r\n\r\n- 用户注册接口\r\n\r\n 请求URL\r\n- ` http://xx.com/api/user/register `\r\n \r\n 请求方式\r\n- POST \r\n\r\n 参数\r\n\r\n|参数名|必选|类型|说明|\r\n|:---- |:---|:----- |----- |\r\n|username |是 |string |用户名 |\r\n|password |是 |string | 密码 |\r\n|name |否 |string | 昵称 |\r\n\r\n# 返回示例 \r\n\r\n```\r\n {\r\n \"error_code\": 0,\r\n \"data\": {\r\n \"uid\": \"1\",\r\n \"username\": \"12154545\",\r\n \"name\": \"吴系挂\",\r\n \"groupid\": 2 ,\r\n \"reg_time\": \"1436864169\",\r\n \"last_login_time\": \"0\",\r\n }\r\n }\r\n```\r\n\r\n返回参数说明 \r\n\r\n|参数名|类型|说明|\r\n|:----- |:-----|----- |\r\n|groupid |int |用户组id,1:超级管理员;2:普通用户 |\r\n\r\n# 备注 \r\n\r\n- 更多返回错误代码请看首页的错误代码描述', 'Vue3.x 生命周期', '1640069422', '2'); INSERT INTO `demo`.`article` (`id`, `type_id`, `title`, `article_content`, `introduce`, `add_time`, `view_count`) VALUES ('3', '3', 'Redis + NodeJS 实现一个能处理海量数据的异步任务队列系统', '在最近的业务中,接到了一个需要处理约十万条数据的需求。这些数据都以字符串的形式给到,并且处理它们的步骤是异步且耗时的(平均处理一条数据需要 25s 的时间)。如果以串行的方式实现,其耗时是相当长的:', '异步任务队列系统', '1640069422', '15');
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