SQL查询

mysql> create table t_worker(

-> department_id int(11) not null comment '部门号',

-> worker_id int(11) primary key not null comment '职工号',

-> worker_date date not null comment '工作时间',

-> wages float(8,2) not null comment '工资',

-> politics varchar(10) not null default '群众' comment '政治面貌',

-> name varchar(20) not null comment '姓名',

-> borth_date date not null comment '出生日期');

mysql> insert into t_worker values (101,1001,'2015-5-4',7500.00,'群众','张春燕','1990-7-1');

Query OK, 1 row affected (0.01 sec)

mysql> insert into t_worker values (101,1002,'2019-2-6',5200.00,'团员','李名博','19

97-2-8');

Query OK, 1 row affected (0.01 sec)

mysql> insert into t_worker values (102,1003,'2008-1-4',10500.00,'党员','王博涵','1

983-6-8');

Query OK, 1 row affected (0.01 sec)

mysql> insert into t_worker values (102,1004,'2016-10-10',5500.00,'群众','赵小军','

1994-9-5');

Query OK, 1 row affected (0.01 sec)

mysql> insert into t_worker values (102,1005,'2014-4-1',8800.00,'党员','钱有财','19

92-12-30');

Query OK, 1 row affected (0.01 sec)

mysql> insert into t_worker values (103,1006,'2019-5-5',5500.00,'党员','孙菲菲','19

96-9-2');

Query OK, 1 row affected (0.01 sec)

(1)mysql> select * from t_worker;

(2)mysql> select distinct department_id from t_worker;

(3)mysql> select count(1) from t_worker;

(4)mysql> select max(wages) , min(wages) from t_worker;

(5)mysql> select round(avg(wages),2),sum(wages) from t_worker;

(6)mysql> create table work_date(worker_id int(11) primary key not null comment'职工号',name varchar(20) not null comment'姓名', worker_date date not null comment'工作时间');

mysql> desc work_date;

(7)mysql> select year(now())-year( borth_date) from t_worker

-> where politics='党员';

(8)mysql> select name from t_worker

-> where wages between 4000 and 8000;

(9)mysql> select name from t_worker

-> where name like '孙%' or name like '李%';

(10)mysql> select worker_id,name from t_worker

-> where department_id in (102,103) and politics!='党员';

(11)mysql> select * from t_worker

-> order by borth_date ;

(12)mysql> select worker_id,name from t_worker order by wages desc limit 1,3;

(13)mysql> select count(1) from t_worker

-> where politics='党员';

(14)mysql> select sum(wages),round(avg(wages),2) from t_worker;

(15)mysql> select department_id,count(1) from t_worker

-> group by department_id

-> having count(1)>=3;

相关推荐
王码码203514 分钟前
Flutter for OpenHarmony 实战之基础组件:第二十七篇 BottomSheet — 动态底部弹窗与底部栏菜单
android·flutter·harmonyos
2501_9151063215 分钟前
app 上架过程,安装包准备、证书与描述文件管理、安装测试、上传
android·ios·小程序·https·uni-app·iphone·webview
vistaup31 分钟前
OKHTTP 默认构建包含 android 4.4 的TLS 1.2 以及设备时间不对兼容
android·okhttp
常利兵37 分钟前
ButterKnife在Android 35 + Gradle 8.+环境下的适配困境与现代化迁移指南
android
撩得Android一次心动37 分钟前
Android LiveData 全面解析:使用Java构建响应式UI【源码篇】
android·java·android jetpack·livedata
熊猫钓鱼>_>1 小时前
移动端开发技术选型报告:三足鼎立时代的开发者指南(2026年2月)
android·人工智能·ios·app·鸿蒙·cpu·移动端
证榜样呀1 小时前
2026 中专大数据技术专业可考的证书有哪些,必看!
大数据·sql
Codefengfeng1 小时前
数据安全知识点速通
sql
逍遥德3 小时前
Sring事务详解之02.如何使用编程式事务?
java·服务器·数据库·后端·sql·spring