swaaaay
swaaaay
全部文章
题解
未归档(36)
归档
标签
去牛客网
登录
/
注册
swaaaay的博客
全部文章
/ 题解
(共10篇)
题解 | #查找所有员工的last_name和first_name以及对应的dept_name#
来自专栏
select e.last_name,e.first_name,ifnull(dep.dept_name,null) from ((employees e left join dept_emp d on e.emp_no=d.emp_no) m left join departments dep o...
Sqlite
2021-12-22
0
383
题解 | #统计出当前各个title类型对应的员工当前薪水对应的平均工资#
来自专栏
SELECT t.title, avg(s.salary) FROM titles t INNER JOIN salaries s on t.emp_no=s.emp_no GROUP BY t.title ORDER BY avg(s.salary);
Sqlite
2021-12-22
0
288
题解 | #获取每个部门中当前员工薪水最高的相关信息#
来自专栏
sqlite SELECT de.dept_no,de.emp_no, max(s.salary) maxSalary FROM dept_emp de INNER JOIN salaries s ON de.emp_no=s.emp_no GROUP BY de.dept_no;
Sqlite
2021-12-15
1
270
题解 | #批量插入数据#
来自专栏
insert into actor values (1,'PENELOPE','GUINESS','2006-02-15 12:34:33'),(2,'NICK','WAHLBERG','2006-02-15 12:34:33')
Sqlite
2021-11-24
0
302
题解 | #牛客每个人最近的登录日期(二)#
来自专栏
select u.name u_n, c.name c_n, max(date) from login l inner join user u on l.user_id=u.id left join client c on l.client_id=c.id group by l.user_id ...
Sqlite
2021-11-17
0
320
题解 | #使用join查询方式找出没有分类的电影id以及名称#
来自专栏
select f.film_id, f.title from film f left join film_category fc on f.film_id=fc.film_id left join category c on fc.category_id=c.category_id where c...
Sqlite
2021-11-10
0
405
题解 | #统计各个部门的工资记录数#
来自专栏
select d.dept_no,d.dept_name, count(s.salary) from ((departments d left join dept_emp de on d.dept_no=de.dept_no) mark left join salaries s on mark.em...
Sqlite
2021-11-03
0
311
题解 | #统计出当前各个title类型对应的员工当前薪水对应的平均工资#
来自专栏
select t.title title, avg(s.salary) from titles t inner join salaries s on t.emp_no=s.emp_no group by title order by avg(s.salary)
Sqlite
2021-10-27
0
362
题解 | #查找所有员工的last_name和first_name以及对应的dept_name#
来自专栏
select e.last_name,e.first_name,ifnull(dep.dept_name,null) from ((employees e left join dept_emp d on e.emp_no=d.emp_no) m left join departments dep o...
Sqlite
2021-10-27
0
393
题解 | #获取每个部门中当前员工薪水最高的相关信息#
来自专栏
SELECT d.dept_no,d.emp_no,max(s.salary) maxSalary from dept_emp d inner join salaries s on d.emp_no=s.emp_no group by d.dept_no;
Sqlite
2021-10-20
1
365