Mybatis Generator通用Join的实现
通常,我们使用Mybatis实现join表关联的时候,一般都是通过在xml或注解里写自定义sql实现。
本文通过Mybatis Generator的插件功能新增一个JoinPlugin插件,只要在配置文件里加上该插件就可以使用。无其他第三方依赖。如下图:
该插件符合mbg plugin即插即用的特点,不影响生成的实体类,只对生成的Example文件做少量变动(新增一个内部类)。
首选我们看一下使用效果,如果符合你的要求,请关注支持。
/**
* 简单join查询示例
* select t0.user_id as t0_user_id,t0.user_name as t0_user_name,t0.login_account as t0_login_account,t0.login_password as t0_login_password,
* t0.user_sex as t0_user_sex,t0.user_email as t0_user_email,t0.user_mobile as t0_user_mobile,t0.user_avatar as t0_user_avatar,
* t0.user_company as t0_user_company,t0.user_dept as t0_user_dept,t0.is_del as t0_is_del,t0.is_admin as t0_is_admin,
* t0.system_type as t0_system_type,t0.last_login_time as t0_last_login_time,t0.create_time as t0_create_time,t0.create_user as t0_create_user,
* t0.update_time as t0_update_time,t0.update_user as t0_update_user,
* t2.role_id as t2_role_id,t2.role_name as t2_role_name
* from auth_user as t0
* inner join auth_user_role as t1 on t0.user_id = t1.user_id
* left join auth_role as t2 on t2.role_id = t1.role_id
* where ( ( t0.user_id is not null and ( t0.create_time is not null or t0.create_user is not null ) ) ) and ( t1.user_id <>999999 and t1.role_id >=1 )
* order by t2.role_id desc,t0.create_time
* limit 10,100
*/
public void joinTable() {
AuthUserExample authUserExample=new AuthUserExample();
AuthUserExample.Criteria criteria=authUserExample.createCriteria();
//where条件
criteria.andUserIdIsNotNull();
criteria.createOrCriteria().andCreateTimeIsNotNull().andCreateUserIsNotNull(); //关联user_role
AuthUserRoleExample urExample=new AuthUserRoleExample();
//where中user_role表的条件
urExample.createCriteria().andUserIdNotEqualTo(999999).andRoleIdGreaterThanOrEqualTo(1);
criteria.createJoinCriteria()
.innerJoinTable(urExample)
//使用User表的user_id关联user_role表的user_id
.on(a->a.getUserId(), a->a.equalTo(b->b.tableInfo.getUserId())); //关联role
AuthRoleExample roleExample=new AuthRoleExample();
criteria.createJoinCriteria()
.leftJoinTable(roleExample)
//使用role表的role_id关联user_role表的role_id
.on(a->a.tableInfo.getRoleId(), a->a.equalTo(b->b.tableInfo.getRoleId()), urExample)
//先按照role表的role_id降序
.orderByDesc(a->a.tableInfo.getRoleId())
//再按照user表的create_time升序
.orderByFirstTable(a->a.getCreateTime())
//跳过前10条
.skip(10)
//取100条记录
.take(100)
//只查询role表的role_id和role_name两个字段
.select(a->new String[] {a.tableInfo.getRoleId(),a.tableInfo.getRoleName()}); //执行查询
List<Tuple> userList=userDao.selectJoinByExample(authUserExample);
int totalItemCount=(int) userDao.countJoinByExample(authUserExample);
System.out.println(userList.size()+",total:"+totalItemCount);
for(Tuple tuple:userList) {
AuthUser authUser=tuple.getObject(AuthUser.class);
AuthUserRole authUserRole=tuple.getObject(AuthUserRole.class);
AuthRole authRole=tuple.getObject(AuthRole.class);
totalItemCount++;
}
}
控制台打印内容如下:
2020-04-23 23:09:16.326 INFO 10308 --- [nio-9000-exec-4] p.r.m.i.SqlStatementInterceptor : ===>sql:select t0.user_id as t0_user_id,t0.user_name as t0_user_name,t0.login_account as t0_login_account,t0.login_password as t0_login_password,t0.user_sex as t0_user_sex,t0.user_email as t0_user_email,t0.user_mobile as t0_user_mobile,t0.user_avatar as t0_user_avatar,t0.user_company as t0_user_company,t0.user_dept as t0_user_dept,t0.is_del as t0_is_del,t0.is_admin as t0_is_admin,t0.system_type as t0_system_type,t0.last_login_time as t0_last_login_time,t0.create_time as t0_create_time,t0.create_user as t0_create_user,t0.update_time as t0_update_time,t0.update_user as t0_update_user,t0.`type` as t0_type,t0.title as t0_title,t0.bz as t0_bz,t2.role_id as t2_role_id,t2.role_name as t2_role_name
from auth_user as t0
inner join auth_user_role as t1 on t0.user_id = t1.user_id
left join auth_role as t2 on t2.role_id = t1.role_id
where ( ( t0.user_id is not null and ( t0.create_time is not null or t0.create_user is not null ) ) ) and ( t1.user_id <>999999 and t1.role_id >=1 )
order by t2.role_id desc,t0.create_time
limit 10,100
2020-04-23 23:09:16.329 DEBUG 10308 --- [nio-9000-exec-4] c.r.m.d.A.selectJoinByExample : ==> Preparing: select t0.user_id as t0_user_id,t0.user_name as t0_user_name,t0.login_account as t0_login_account,t0.login_password as t0_login_password,t0.user_sex as t0_user_sex,t0.user_email as t0_user_email,t0.user_mobile as t0_user_mobile,t0.user_avatar as t0_user_avatar,t0.user_company as t0_user_company,t0.user_dept as t0_user_dept,t0.is_del as t0_is_del,t0.is_admin as t0_is_admin,t0.system_type as t0_system_type,t0.last_login_time as t0_last_login_time,t0.create_time as t0_create_time,t0.create_user as t0_create_user,t0.update_time as t0_update_time,t0.update_user as t0_update_user,t0.`type` as t0_type,t0.title as t0_title,t0.bz as t0_bz,t2.role_id as t2_role_id,t2.role_name as t2_role_name from auth_user as t0 inner join auth_user_role as t1 on t0.user_id = t1.user_id left join auth_role as t2 on t2.role_id = t1.role_id WHERE ( ( t0.user_id is not null and ( t0.create_time is not null or t0.create_user is not null ) ) ) and ( t1.user_id <>? and t1.role_id >=? ) order by t2.role_id desc,t0.create_time limit 10,100
2020-04-23 23:09:16.330 DEBUG 10308 --- [nio-9000-exec-4] c.r.m.d.A.selectJoinByExample : ==> Parameters: 999999(Integer), 1(Integer)
2020-04-23 23:09:16.361 DEBUG 10308 --- [nio-9000-exec-4] c.r.m.d.A.selectJoinByExample : <== Total: 100
2020-04-23 23:09:16.367 INFO 10308 --- [nio-9000-exec-4] p.r.m.i.SqlStatementInterceptor : c.r.m.d.AuthUserMapper.selectJoinByExample:41ms
2020-04-23 23:09:16.371 INFO 10308 --- [nio-9000-exec-4] p.r.m.i.SqlStatementInterceptor : ===>sql:select count(*)
from auth_user as t0
inner join auth_user_role as t1 on t0.user_id = t1.user_id
left join auth_role as t2 on t2.role_id = t1.role_id
where ( ( t0.user_id is not null and ( t0.create_time is not null or t0.create_user is not null ) ) ) and ( t1.user_id <>999999 and t1.role_id >=1 )
2020-04-23 23:09:16.375 DEBUG 10308 --- [nio-9000-exec-4] c.r.m.d.A.countJoinByExample : ==> Preparing: select count(*) from auth_user as t0 inner join auth_user_role as t1 on t0.user_id = t1.user_id left join auth_role as t2 on t2.role_id = t1.role_id WHERE ( ( t0.user_id is not null and ( t0.create_time is not null or t0.create_user is not null ) ) ) and ( t1.user_id <>? and t1.role_id >=? )
2020-04-23 23:09:16.376 DEBUG 10308 --- [nio-9000-exec-4] c.r.m.d.A.countJoinByExample : ==> Parameters: 999999(Integer), 1(Integer)
2020-04-23 23:09:16.385 DEBUG 10308 --- [nio-9000-exec-4] c.r.m.d.A.countJoinByExample : <== Total: 1
2020-04-23 23:09:16.385 INFO 10308 --- [nio-9000-exec-4] p.r.m.i.SqlStatementInterceptor : c.r.m.d.AuthUserMapper.countJoinByExample:14ms
100,total:5190
通过上面简单例子我们可以看到,生成的sql是完全符合预期的,并且不需要我们额外的手写sql了。
该插件特点:
1.可关联多表,on多个字段关联,on多种条件查询,例如:left join t_role as t1 on t0.role_id=t1.role_id and t0.sys_type=t1.role_type and t1.is_del=0 and t1.role_type='T'
2.可自定义表别名
3.sql中的所有表都可自定义要查询的字段,表字段多时,指定字段查询明显提高效率
4.分页、多表排序支持,函数式编程写法
5.支持in,exists等子查询
6.mybatis原生特性,无其他依赖
该插件原理:
由于mbg每个表都生成一个xml,在xml里自动组装生成的sql,并返回map对象。通过mybatis的拦截器拦截返回结果,将map转换成不同表的实体对象然后组装返回到一个类Tuple中。
本插件初衷:为了简化开发人员的数据库sql繁琐查询工作及改善mybatis写join关联时只能自定义的状况。开发过程中当表结构改变时,所有手写自定义的sql里的字段都要改一遍。
另外,mbg1.4.0的dynamic-sql不怎么好用,这么久了更新这样一个新版本很失望。
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