标签：生成 map order ota 打印 实体 string limit info
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再手写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.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。
标签：生成 map order ota 打印 实体 string limit info
原文地址：https://www.cnblogs.com/RexSheng/p/12764426.html
