基于mysql的sakila数据库脚本分析
本例是基于mysql的sakila数据库脚本的复杂查询分析,大家可以去mysql官网上下载此脚本;也可以进入我的资源页进行下载:
关系图如下:
下面是查询的案例:
1.查询某部电影的所属类别,语言
SELECT film.title AS '电影名称', category.name AS '种类名称', language.name AS '语言' FROM film_category
LEFT JOIN film ON film_category.`film_id` = film.`film_id`
LEFT JOIN `category` ON film_category.category_id = category.category_id
LEFT JOIN LANGUAGE ON film.language_id = language.language_id
WHERE film.title = 'ACADEMY DINOSAUR';
2.查询某部电影的演员有哪些
SELECT film.title AS '电影名称', CONCAT(actor.last_name, CONCAT(" ", actor.first_name)) AS '参与演员'
FROM film
INNER JOIN film_actor
ON film.`film_id` = film_actor.`film_id`
INNER JOIN actor
ON film_actor.`actor_id` = actor.`actor_id`
WHERE film.title = 'ACADEMY DINOSAUR';
3.查询某部电影的演员人数
SELECT film.title AS '电影名称', COUNT(film_actor.`actor_id`) AS '参演人数' FROM film
INNER JOIN film_actor ON film.`film_id` = film_actor.`film_id`
WHERE film.title = 'ACADEMY DINOSAUR';
4.查询电影id,库存数
SELECT film.`film_id` AS '电影id', COUNT(inventory.`film_id`) AS '库存数'
FROM film, inventory
WHERE film.`film_id` = inventory.`film_id`
GROUP BY film.`film_id`;
5.查询:电影名,库存数
SELECT film.`title` AS '电影名称', COUNT(inventory.`film_id`) AS '库存数'
FROM film LEFT JOIN inventory ON film.`film_id` = inventory.`film_id`
GROUP BY film.`title`;
6.查询store对应的地址和负责人姓名
SELECT address.`address` AS 'store地址', CONCAT(staff.first_name, CONCAT(" ", staff.`last_name`)) AS '负责人姓名'
FROM store
INNER JOIN address ON store.`address_id` = address.`address_id`
INNER JOIN staff ON store.`manager_staff_id` = staff.`staff_id`;
7.查询staff姓名及其对应的地址
SELECT CONCAT(staff.first_name, CONCAT(" ", staff.`last_name`)) AS 'staff姓名', address.`address` AS '住址'
FROM staff LEFT JOIN address ON staff.`address_id` = address.`address_id`;
8.查询某个顾客的消费记录:顾客名、消费金额
SELECT CONCAT(customer.`first_name`, CONCAT(" ", customer.`last_name`)) AS '顾客名', COUNT(payment.`amount`) AS '消费金额'
FROM customer
LEFT JOIN rental ON customer.`customer_id` = rental.`customer_id`
LEFT JOIN payment ON rental.`rental_id` = payment.`rental_id`
WHERE customer.`customer_id` = 1;
9.查询某个员工的销售总额:员工名,销售总额
SELECT CONCAT(staff.first_name, CONCAT(" ", staff.`last_name`)) AS '员工姓名', COUNT(payment.`amount`) AS '销售总额'
FROM payment LEFT JOIN staff ON payment.`staff_id` = staff.`staff_id`
GROUP BY staff.`first_name`;
10.查询某个顾客借出的影片名
SELECT `title` AS '影片名' -- CONCAT(`first_name`, CONCAT(" ", `last_name`)) AS '顾客名',
FROM
(
SELECT DISTINCT(customer.`customer_id`), customer.`first_name`, customer.`last_name`, inventory.`film_id`
FROM customer
INNER JOIN store ON customer.`store_id` = store.`store_id`
INNER JOIN inventory ON inventory.`store_id` = store.`store_id`
) AS tt
INNER JOIN film ON film.`film_id` = tt.film_id
WHERE `customer_id` = 1;
11.查询某片子的受欢迎程度,根据欢迎程度来进行排序
SELECT title AS '电影名称', COUNT(title) AS '租借次数'
FROM
(
SELECT film.`title`
FROM film
LEFT JOIN inventory ON film.`film_id` = inventory.`film_id`
LEFT JOIN rental ON inventory.`inventory_id` = rental.`inventory_id`
) AS tt
GROUP BY title
ORDER BY 租借次数 DESC;
12.查询滞留最多的DVD:什么是滞留最多??? 是不是借出次数最少的???
其中重复的语句比较多,怎么解决 where和 from后面的子表怎么传递??
SELECT title, title_sum
FROM
(
SELECT title, COUNT(title) AS 'title_sum'
FROM
(
SELECT film.`title`
FROM film
LEFT JOIN inventory ON film.`film_id` = inventory.`film_id`
LEFT JOIN rental ON inventory.`inventory_id` = rental.`inventory_id`
) AS tt
GROUP BY title
) AS aa
WHERE title_sum IN
(
SELECT MIN(title_sum)
FROM
(
SELECT title, COUNT(title) AS 'title_sum'
FROM
(
SELECT film.`title`
FROM film
LEFT JOIN inventory ON film.`film_id` = inventory.`film_id`
LEFT JOIN rental ON inventory.`inventory_id` = rental.`inventory_id`
) AS tt
GROUP BY title
) AS aa
);
13.查询消费最高的客户,以及该客户的最喜欢借阅的片子类型
SELECT cus_fav.cus_id AS '顾客编号', cus_fav.cus_name AS '顾客姓名', cus_fav.cate_name AS '最爱的电影类型', MAX(cus_fav.cate_num) AS '租借次数'
FROM
(
SELECT cus.id AS 'cus_id', cus.name AS 'cus_name', category.`name` AS 'cate_name', COUNT(category.`name`) AS 'cate_num'
FROM
(
SELECT cus_py.cus_id AS 'id', cus_py.cus_name AS 'name', MAX(cus_py.total_amount) AS 'amount'
FROM
(
SELECT customer.`customer_id` AS 'cus_id', CONCAT(customer.`first_name`, CONCAT(" ", customer.`last_name`)) AS 'cus_name', COUNT(payment.`amount`) AS 'total_amount'
FROM customer LEFT JOIN payment ON customer.`customer_id` = payment.`customer_id`
GROUP BY cus_id
) AS cus_py
) AS cus
INNER JOIN rental ON rental.`customer_id` = cus.id
INNER JOIN inventory ON inventory.`inventory_id` = rental.`inventory_id`
INNER JOIN film ON film.`film_id` = inventory.`film_id`
INNER JOIN film_category ON film_category.`film_id` = film.`film_id`
INNER JOIN category ON category.`category_id` = film_category.`category_id`
GROUP BY cate_name
) AS cus_fav;
14.查询某部电影所属的类别,语言,演员数
SELECT film.`title` AS '电影名称', category.`name` AS '类别', language.`name` AS '语言', COUNT(actor.`actor_id`) AS '演员人数'
FROM film
LEFT JOIN film_category ON film.`film_id` = film_category.`film_id`
LEFT JOIN category ON category.`category_id` = film_category.`category_id`
LEFT JOIN LANGUAGE ON film.`language_id` = language.`language_id`
LEFT JOIN film_actor ON film.`film_id` = film_actor.`film_id`
LEFT JOIN actor ON film_actor.`actor_id` = actor.`actor_id`
WHERE film.`film_id` = 1;
15.查询某个顾客的消费记录;接待的员工名。消费金额
SELECT cus.customer_name AS '顾客名', cus.staff_name AS '员工名', COUNT(cus.amount) AS '消费额'
FROM
(
SELECT CONCAT(customer.`first_name`, CONCAT(" ", customer.`last_name`)) AS 'customer_name', CONCAT(staff.`first_name`, CONCAT(" ", staff.`last_name`)) AS 'staff_name', payment.`amount` AS 'amount'
FROM customer
INNER JOIN payment ON customer.`customer_id` = payment.`customer_id`
INNER JOIN staff ON payment.`staff_id` = staff.`staff_id`
WHERE customer.`customer_id` = 1
) AS cus
GROUP BY cus.staff_name;
16.查询某个顾客的消费总数
SELECT CONCAT(customer.`first_name`, CONCAT(" ", customer.`last_name`)) AS '顾客名', SUM(payment.`amount`) AS '消费金额'
FROM customer
LEFT JOIN rental ON customer.`customer_id` = rental.`customer_id`
LEFT JOIN payment ON rental.`rental_id` = payment.`rental_id`
WHERE customer.`customer_id` = 1;
基于mysql的sakila数据库脚本分析的更多相关文章
- 对Oracle 、SQL Server、MySQL、PostgreSQL数据库优缺点分析
对Oracle .SQL Server.MySQL.PostgreSQL数据库优缺点分析 Oracle Database Oracle Database,又名Oracle RDBMS,或简称Oracl ...
- 新浪微博基于MySQL的分布式数据库实践
提起微博,相信大家都是很了解的.但是有谁知道微博的数据库架构是怎样的呢?在今天举行的2011数据库技术大会上,新浪首席DBA杨海潮为我们详细解读了新浪微博的数据库架构——基于MySQL的分布式数据库实 ...
- Unknown command '\b'. 关于Mysql导入外部数据库脚本报错的解决
来自网络转载 还是字符集的问题 使用source导入外部sql文件: mysql> source F:\php\bookorama.sql;--------------source F:---- ...
- MySQL客户端导入数据库脚本,字段值出现乱码解决方法
解决方法1:在MySql安装目录下找到my.ini,将[mysql]下的default-character-set=latin1改为default-character-set=utf8,保存,然后重启 ...
- 基于MySQL协议的数据库中间层项目Atlas - 360团队
一.简介 Atlas是由 Qihoo 360公司Web平台部基础架构团队开发维护的一个基于MySQL协议的数据中间层项目.它在MySQL官方推出的MySQL-Proxy 0.8.2版本的基础上,修改了 ...
- MySQL Workbench 导出数据库脚本(图文)
1.如下图红框所示,在Server Administration那里,点击"New Server Instance" 2.如下图所示,如果是连接本地数据库,则选localhost, ...
- 获取MySQL服务提供的sakila数据库(Example Databases)
关于这个数据库也就是样例数据库,数据库,数据库,最可怕的就是没有数据了,对吧?没有数据你学个什么呀. 可是,没有数据,咱会自己insert,那只能适用于初学者.对于数据库的优化方面的学习,还是有大数据 ...
- 基于Mysql数据库亿级数据下的分库分表方案
移动互联网时代,海量的用户数据每天都在产生,基于用户使用数据的用户行为分析等这样的分析,都需要依靠数据都统计和分析,当数据量小时,问题没有暴露出来,数据库方面的优化显得不太重要,一旦数据量越来越大时, ...
- MySql 获取服务提供的sakila数据库(Example Databases)
关于这个数据库也就是样例数据库,数据库,数据库,最可怕的就是没有数据了,对吧?没有数据你学个什么呀. 可是,没有数据,咱会自己insert,那只能适用于初学者.对于数据库的优化方面的学习,还是有大数据 ...
随机推荐
- Day2基本数据类型 字节 和类型转换
Java基础语法 注释 1.单行注释:// 加内容 2.多行注释:/* 多行注释 */ 3.文档注释: /** * * */ 有趣的注释 标识符 关键字 基本数据类型 八大基本数据类型 //整数in ...
- python + pytest基本使用方法(拓展库)
一.测试钩子配置文件 import pytest# conftest.py 是pytest特有的本地测试配置文件;# 既可以用来设置项目级别的Fixture,也可用来导入外部插件,还可以指定钩子函数# ...
- Requests方法 -- session方法
import requests#禁用安全请求警告from requests.packages.urllib3.exceptions import InsecureRequestWarningreque ...
- Java语言程序与数据结构(基础篇)-随记
有关代码见BasicJava U1-Java概述 1-程序设计风格和文档 1.注释风格 注释:// ; 块注释:/* ~ / ; javadoc注释:/* ~ */ javadoc注释 eg. /** ...
- Python基础之subprocess
前言 subprocess这个函数很好用,类似于控制台执行,功能很多,今天先介绍subprocess调用exe,并行调用两个或两个以上的exe. Subprocess调用exe 调用exe有几种方式, ...
- 【阅读笔记】Java核心技术卷一 #4.Chapter6
6 接口.lambda 表达式与内部类 6.1 接口 6.1.1 接口概念 接口绝不能含有实例域:但在接口中可以定义常量,被自动设为 public static final 接口中的所有方法自动地属于 ...
- Apache ActiveMQ(CVE-2016-3088)
影响版本 Apache ActiveMQ 5.0.0-5.13.x 路径地址 http://192.168.49.2:8161/admin/test/systemProperties.jsp 该漏洞允 ...
- OpenFaaS实战之四:模板操作(template)
欢迎访问我的GitHub https://github.com/zq2599/blog_demos 内容:所有原创文章分类汇总及配套源码,涉及Java.Docker.Kubernetes.DevOPS ...
- 远程访问Jupyter Notebook的两种方式:命令行和配置文件
远程访问Jupyter Notebook的两种方式:命令行和配置文件 相关配置:Ubuntu 16.04服务器,本地Win10,使用了Xshell,Xftp工具. 相关配置主要分为三步: 服务器上的J ...
- netty系列之:netty中的ByteBuf详解
目录 简介 ByteBuf详解 创建一个Buff 随机访问Buff 序列读写 搜索 其他衍生buffer方法 和现有JDK类型的转换 总结 简介 netty中用于进行信息承载和交流的类叫做ByteBu ...