一次数据库作业 题目如下:

Consider the following SQL table definitions:

CREATE TABLE OlympicEvent (
Name text,
Year int,
Description text
);
CREATE TABLE Athlete (
Name text,
DateOfBirth date,
Gender char,
Nationality text
);

1. Define sensible key constraints for these tables in SQL. Note: An olympic event (such as 200m sprint) can take place in multiple years. Different athletes may have identical names, but should be distinguishable by date of birth. [1 mark]

2. Define an SQL constraint that restricts Gender to sensible values. [1 mark]

3. Create the SQL definition for a table Competes recording medals won by athletes competing in Olympic events. Define sensible key and foreign key constraints, as well as a constraint which ensures that medals can only be gold, silver or bronze. Note: While it can happen (in the case of ties) that multiple gold or silver medals are handed out for the same event, an athlete cannot gain multiple medals for the same event.[3 marks]

4. Write an SQL query returning all nations (nationalities of athletes) that won at least 2 gold medals in 2018. Do not use aggregation (GROUP BY). Note: Each nation satisfying the criteria should be listed only once.[3 marks]

5. Express the same query using aggregation. Submit your answers as pdf file via stream. Include your name and student ID.[2 marks]

对于前3问来讲,无非就是建表再加限制

CREATE TABLE OlympicEvent (
Name VARCHAR(20),
Year int,
Description text,
CONSTRAINT pk_OlympicEvent PRIMARY KEY (Name,Year)
);
CREATE TABLE Athlete (
Name VARCHAR(20),
DateOfBirth date,
Gender char(20) CHECK (Gender ='male' OR Gender = 'female'),
Nationality text,
CONSTRAINT pk_Athlete PRIMARY KEY (Name,DateOfBirth)
);
CREATE TABLE Competes (
Athlete_name VARCHAR(20),
DateOfBirth date,
OlympicEvent_name VARCHAR(20),
OlympicEvent_year int,
Medal CHAR(20) CHECK (Medal = 'gold' OR Medal = 'silver' OR Medal = 'bronze'),
CONSTRAINT fk_Athelete FOREIGN KEY (Athlete_name,DateOfBirth) REFERENCES Athlete(Name,DateOfBirth),
CONSTRAINT fk_OlympicEvent FOREIGN KEY (OlympicEvent_name,OlympicEvent_year) REFERENCES OlympicEvent(Name, Year)
);

然后往里面加数据

athlete:

olympicEvent表:

competes表:

第5问的话 联表后再用group by 也不是很难

SELECT athlete.Nationality ,count(1) as sum_medals FROM athlete,competes WHERE competes.Athlete_name = athlete.Name GROUP BY athlete.Nationality HAVING count(1)>=2;

结果如下

第4问 题目中不让用group by 问了问老师 也不让用sum count之类的聚集函数

我写的代码如下

WITH medal_nationality AS (
SELECT athlete_name, athlete.dateofbirth, olympicevent_year, olympicevent_name, nationality FROM athlete, competes
WHERE athlete.Name = competes.Athlete_name AND athlete.DateOfBirth = competes.DateOfBirth
) SELECT DISTINCT nationality FROM medal_nationality t1
WHERE EXISTS(
SELECT * FROM medal_nationality t2
WHERE t1.nationality = t2.nationality AND
(t1.athlete_name, t1.dateofbirth, t1.olympicevent_name, t1.olympicevent_year) <>
(t2.athlete_name, t2.dateofbirth, t2.olympicevent_name, t2.olympicevent_year)
);

利用with as 将medal_nationality选出来 包含 athlete_name, athlete.dateofbirth, olympicevent_year, olympicevent_name, nationality 5个字段,后用exists来选出只返回true的值,条件是必须国籍相等,但两个人不能是同一个人(见问题1),最后结果为:

算是不用group by 最后也把需要的数据筛选出来了吧 总结完毕 _(:з」∠)_

对sql作业的总结(不用group by 通过with as,exists实现分类)的更多相关文章

  1. 如何跑通第一个 SQL 作业

    简介: 本文由阿里巴巴技术专家周凯波(宝牛)分享,主要介绍如何跑通第一个SQL. 一.SQL的基本概念 1.SQL 分类 SQL分为四类,分别是数据查询语言(DQL).数据操纵语言(DML).数据定义 ...

  2. sql中的 where 、group by 和 having 用法解析

    --sql中的 where .group by 和 having 用法解析 --如果要用到group by 一般用到的就是“每这个字” 例如说明现在有一个这样的表:每个部门有多少人 就要用到分组的技术 ...

  3. Linux 上配置 SQL Server Always On Availability Group

    SQL Server Always On Availability Group 配置步骤:配置三台 Linux 集群节点创建 Availability Group配置 Cluster Resource ...

  4. Ubuntu上配置SQL Server Always On Availability Group(Configure Always On Availability Group for SQL Server on Ubuntu)

    下面简单介绍一下如何在Ubuntu上一步一步创建一个SQL Server AG(Always On Availability Group),以及配置过程中遇到的坑的填充方法. 目前在Linux上可以搭 ...

  5. Configure Always On Availability Group for SQL Server on RHEL——Red Hat Enterprise Linux上配置SQL Server Always On Availability Group

    下面简单介绍一下如何在Red Hat Enterprise Linux上一步一步创建一个SQL Server AG(Always On Availability Group),以及配置过程中遇到的坑的 ...

  6. MS SQL作业Schedule的限制注意事项

      最近遇到了一个关于MS SQL作业Schedule下有限制的特殊案例,有一个作业,用户要求执行的时间为:9:30,14:30,16:30, 19:00,于是我设置了两个Schedule,其中一个每 ...

  7. 转:sql篇 select from where group by having order by

    原文地址: sql篇 select from where group by having order by select from where group by having order by  的基 ...

  8. Configure Always On Availability Group for SQL Server on Ubuntu——Ubuntu上配置SQL Server Always On Availability Group

    下面简单介绍一下如何在Ubuntu上一步一步创建一个SQL Server AG(Always On Availability Group),以及配置过程中遇到的坑的填充方法. 目前在Linux上可以搭 ...

  9. 查看sql 作业明细及运行记录

    --查看作业明细及状态 select j.name 'Job名', j.description '描述', j.ENABLED job_enabled, cast(js.last_run_date a ...

随机推荐

  1. 描边shader(法线外拓)

    描边的思路是需要两个pass.第一个pass让顶点沿着法线方向延伸出去,使得模型变大一圈.第二个pass正常渲染,让正常渲染的模型挡在第一个pass之上,这样就会露出延伸出去的部分,延伸出去的就是我们 ...

  2. C# CultureInfo中常用的InvariantCulture

    本文参考自CultureInfo中重要的InvariantCulture,纯属读书笔记,加深记忆 1.CultureInfo的InvariantCulture的作用 (1).CultureInfo使整 ...

  3. 谈 Python 程序和 C 程序的整合 (转载)

    http://www.ibm.com/developerworks/cn/linux/l-cn-pythonandc/ 概览 Python 是一种用于快速开发软件的编程语言,它的语法比较简单,易于掌握 ...

  4. Android 再谈handler

    今天在做http网络事件的响应网络接收处理一般不能放在主线程中使用,目前也只会使用AsyncTask进行处理!之前虽然写过handler处理的一些文章但是发现全不会了!无奈~ 关于handler某位兄 ...

  5. php 内存共享shmop源码阅读

    多进程通信的时候,会涉及到共享内存.shmop_open()创建或打开一个内存块 PHP_FUNCTION(shmop_open) { long key, mode, size; struct php ...

  6. 【c++】explicit 隐式类类型转换

    上代码 #include <iostream> #include <sstream> using namespace std; class A { public: A(cons ...

  7. Eigen库矩阵运算使用方法

    Eigen库矩阵运算使用方法 Eigen这个类库,存的东西好多的,来看一下主要的几个头文件吧: ——Core 有关矩阵和数组的类,有基本的线性代数(包含 三角形 和 自伴乘积 相关),还有相应对数组的 ...

  8. 编写DBCP连接池

    #配置数据库数据源package com.itang.utils; import java.io.InputStream; import java.sql.Connection; import jav ...

  9. 从服务器下载文件 DownloadServlet()

    .html代码 <!DOCTYPE html> <html> <head> <meta charset="UTF-8"> <t ...

  10. javaEE Design Patter(1)初步了解23种常用设计模式

    设计模式分为三大类: 创建型模式,共五种:工厂方法模式.抽象工厂模式.单例模式.建造者模式.原型模式. 结构型模式,共七种:适配器模式.装饰器模式.代理模式.外观模式.桥接模式.组合模式.享元模式. ...