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数据获取
表的数据信息(sql文件)放在这个链接里了,提取码:52xz,需要的自行提取。数据来自网上的练习,已经给小伙伴们总结好了。
https://pan.baidu.com/s/11YMWaXtZb9K60cpOuYTwag
将数据导入到mysql中
大家可以直接在navicat运行该脚本,就可以直接导入数据了,如果遇到问题很可能是编码问题,改一下数据库的编码为gb2312,如图:
基础20题
点击新建查询就可以写我们的mysql基础20题了。- #(1)查询和Zlotkey相同部门的员工姓名和工资
- SELECT
- last_name,
- salary
- FROM
- employees
- WHERE
- department_id = ( SELECT department_id from employees WHERE last_name = "Zlotkey" );
- #(2)查询工资比公司平均工资高的员工的员工号,姓名和工资。
- SELECT
- employee_id,
- last_name,
- salary
- FROM
- employees
- WHERE
- salary > (SELECT AVG(salary) FROM employees);
- #(3)选择工资大于所有JOB_ID = SA_MAN 的员工的工资的员工的last_name, job_id, salary
- SELECT
- last_name,
- job_id,
- salary
- FROM
- employees
- WHERE
- salary > ( SELECT max( salary ) FROM employees WHERE job_id = "SA_MAN" );
- #(4)查询和姓名中包含字母u的员工在相同部门的员工的员工号和姓名
- SELECT
- employee_id,
- last_name
- FROM
- employees
- WHERE
- department_id IN (
- SELECT DISTINCT
- ( department_id )
- FROM
- employees
- WHERE
- last_name LIKE "%u%")
-
- #(5)查询在部门的location_id为1700的部门工作的员工的员工号
- SELECT
- employee_id
- FROM
- employees
- WHERE
- department_id IN ( SELECT department_id FROM departments WHERE location_id = 1700 );
-
- #(6)查询管理者是King的员工姓名和工资
- SELECT
- last_name,
- salary
- FROM
- employees
- WHERE
- manager_id IN ( SELECT employee_id FROM employees WHERE last_name = "K_ing" );
- #(7)查询工资最低的员工信息: last_name, salary
- SELECT
- last_name,
- salary
- FROM
- employees
- WHERE
- salary = ( SELECT min( salary ) FROM employees );
-
- #(8)查询平均工资最低的部门信息
- SELECT
- b.department_id,
- d.department_name,
- d.manager_id,
- d.location_id
- FROM
- departments d
- JOIN (
- SELECT
- department_id,
- AVG( salary ) AS avg_salary
- FROM
- employees
- GROUP BY
- department_id
- HAVING
- avg_salary IN (
- SELECT
- MIN( a.avg_salary )
- FROM (
- SELECT
- department_id,
- AVG( salary ) AS avg_salary
- FROM employees
- GROUP BY department_id
- ) AS a
- )
- ) AS b
- ON d.department_id = b.department_id;
- #(9)查询平均工资最低的部门信息和该部门的平均工资(相关子查询)
- SELECT
- b.department_id,
- d.department_name,
- d.manager_id,
- d.location_id,
- b.avg_salary
- FROM
- departments d
- JOIN (
- SELECT
- department_id,
- AVG( salary ) AS avg_salary
- FROM
- employees
- GROUP BY
- department_id
- HAVING
- avg_salary IN (
- SELECT
- MIN( a.avg_salary )
- FROM (
- SELECT
- department_id,
- AVG( salary ) AS avg_salary
- FROM employees
- GROUP BY department_id
- ) AS a
- )
- ) AS b
- ON d.department_id = b.department_id;
- #(10)查询平均工资最高的 job 信息
- SELECT
- b.job_id,
- j.job_title,
- j.min_salary,
- j.max_salary
- FROM
- jobs j
- JOIN
- (
- SELECT
- job_id ,
- AVG(salary) AS avg_salary
- FROM
- employees
- GROUP BY
- job_id
- HAVING
- avg_salary in
- (
- SELECT
- MAX(a.avg_salary)
- FROM
- (
- SELECT
- job_id,
- AVG( salary ) AS avg_salary
- FROM
- employees
- GROUP BY
- job_id
- ) as a
- )
- )as b
- ON j.job_id = b.job_id;
- #(11)查询平均工资高于公司平均工资的部门有哪些?
- SELECT
- department_id,
- AVG(salary) as avg_salary
- FROM
- employees
- WHERE
- department_id is not null
- GROUP BY
- department_id
- HAVING
- avg_salary > (
- SELECT
- AVG(salary)
- FROM
- employees );
- #(12)查询出公司中所有 manager 的详细信息
- SELECT
- *
- FROM
- employees
- WHERE
- employee_id in
- (
- SELECT
- DISTINCT manager_id
- FROM
- employees);
- #(13)各个部门中 最高工资中最低的那个部门的 最低工资是多少?
- SELECT
- MAX(salary) as max_salary
- FROM
- employees
- WHERE
- department_id is not null
- GROUP BY
- department_id
- ORDER BY
- max_salary
- LIMIT 0,1;
- #(14)查询平均工资最高的部门的 manager 的详细信息: last_name, department_id, email, salary
- SELECT
- last_name,
- department_id,
- email,
- salary
- FROM
- employees
- WHERE
- employee_id in
- (
- SELECT
- DISTINCT manager_id
- FROM
- employees
- WHERE
- department_id = (
- SELECT
- department_id
- FROM
- employees
- GROUP BY
- department_id
- HAVING
- AVG( salary ) IN (
- SELECT
- MAX( a.avg_salary )
- FROM
- (
- SELECT
- department_id,
- AVG( salary ) AS avg_salary
- FROM
- employees
- GROUP BY
- department_id
- ) AS a
- )
- )
- );
- #(15)查询部门的部门号,其中不包括job_id是"ST_CLERK"的部门号
- SELECT
- department_id
- FROM
- employees
- WHERE
- job_id NOT IN (
- SELECT
- job_id
- FROM
- employees
- WHERE
- job_id = "ST_CLERK");
- #(16)选择所有没有管理者的员工的last_name
- SELECT
- last_name
- FROM
- employees
- WHERE
- manager_id is null;
- #(17)查询员工号、姓名、雇用时间、工资,其中员工的管理者为 ‘De Haan’
- SELECT
- employee_id,
- last_name,
- hiredate,
- salary
- FROM
- employees
- WHERE
- manager_id = (SELECT
- employee_id
- FROM
- employees
- WHERE
- last_name = "De Haan");
- #(18)查询各部门中工资比本部门平均工资高的员工的员工号, 姓名和工资(相关子查询)
- SELECT employee_id,last_name,salary,department_id
- FROM employees e1
- WHERE salary > (
- # 查询某员工所在部门的平均
- SELECT AVG(salary)
- FROM employees e2
- WHERE e2.department_id = e1.`department_id`);
- #(19)查询每个部门下的部门人数大于 5 的部门名称(相关子查询)
- SELECT
- department_name
- FROM
- departments
- WHERE
- department_id in (
- SELECT
- department_id
- FROM
- employees
- GROUP BY
- department_id
- HAVING
- COUNT(*) > 5);
- #(20)查询每个国家下的部门个数大于 2 的国家编号(相关子查询)
- SELECT
- country_id
- FROM
- locations
- WHERE
- location_id in (
- SELECT
- location_id
- FROM
- departments
- GROUP BY
- location_id
- HAVING
- COUNT(*) > 2);
- 好了,今天的分享已经结束了,以后我还会多多更新这些对于大数据技术较为基础的相关分享,希望大家能共同进步,一起加油!
复制代码 来源:https://www.cnblogs.com/cjybigdatablog/p/18324077
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