Oracle做学生信息系统的脚本 无 要求的约束条件有: 主键是学号;入学日期必须大于出生日期;总分必须在0到700之间;学号和姓名不能为空create table student (sid number not null primary key,name nvarchar2(10) not null,birthday date,sdate date,addres
Oracle做学生信息系统的脚本要求的约束条件有: 主键是学号;入学日期必须大于出生日期;总分必须在0到700之间;学号和姓名不能为空 create table student ( sid number not null primary key, name nvarchar2(10) not null, birthday date, sdate date, address nvarchar2(20), mark number, constraint ck_sdate check(sdate>birthday), constraint ck_mark check(mark>=0 and mark<=700))tablespace users; insert into student values(1001,'张三','1-1月-1981','1-1月-1999','上海',600); 用OEM再创建以上表student2,添加约束,并在数据输入窗口输入以下记录: 表字段名(英文部分)及部分数据如下: sid(学号)name(姓名)birthday(出生日期)sdate(入学日期)address(家庭地址 ) mark(入学总分) 1001 张三名 1981-1-1 1999-1-1 张三名的家庭地址 600 1002 李三名 1982-2-2 2000-1-1 李三名的家庭地址 620 1003 张四名 1983-3-3 2001-1-1 张四名的家庭地址 580 1004 李四名 1984-4-4 2002-1-1 李四名的家庭地址 592
计算出学生总数; select count(1) as 学生总数 from student; 查询出姓名中第二个字符为“三”而且不姓张的学生; select * from student where name like '_三%' and name not like '张%'; 查询出在1982-1-1和1984-1-1之间出生的学生的姓名; select name,birthday from student where birthday between to_date('1982-1-1','yyyy-MM-dd') and to_date('1984-1-1','yyyy-MM-dd'); 查询出年龄最小的学生; select * from student where birthday in (select max(birthday) from student); 查询出在学校待的时间最长的学生; select * from student where sdate in (select min(sdate) from student); 计算出所有学生总分的平均分; select avg(mark) as 平均分 from student; 显示总分最高的学生的总分和姓名; select name,mark from student where mark in (select max(mark) from student); 删除总分在600以下的学生,然后进行回滚; delete from student where mark<600 ;rollback; 为表添加两列,一列是sex(性别),一列是speciality(专业), 其中,专业部分的默认值是“外语”;且有一个名为CK_SEX的约束条件:性别只能是“男”或“女; 修改专业的默认值为“计算机”; alter table student add(sex nvarchar2(4) check (sex='男' or sex='女'), speciality nvarchar2(10) default '外语'); alter table student modify(speciality default '计算机');
id(编号) sid(学生编号) testtype(考试类型) score(分数) 1 1001 期中 580 2 1001 期末 590 3 1002 期中 570 4 1002 期末 595 5 1003 期中 570 6 1003 期末 565 create table score ( id number not null, sid number not null, testtype nvarchar2(10), score number );
用OEM界面给score创建一个外键,对应student的主键,然后在sql*plus中用sql语句删除此外键,再用sql语句为score创建一个外键; alter table score drop constraint SCORE_FK21245050242859; alter table score add (constraint fk_sid foreign key(sid) references student(sid));
select sid,name,address from student where mark>610 and sid in (select sid from score where testtype='期末' and score>=590);
update score set score=score+10 where testtype='期末' and sid in (select sid from student where mark>=600);
select * from student where sid not in (select sid from score);

MySQL uses a GPL license. 1) The GPL license allows the free use, modification and distribution of MySQL, but the modified distribution must comply with GPL. 2) Commercial licenses can avoid public modifications and are suitable for commercial applications that require confidentiality.

The situations when choosing InnoDB instead of MyISAM include: 1) transaction support, 2) high concurrency environment, 3) high data consistency; conversely, the situation when choosing MyISAM includes: 1) mainly read operations, 2) no transaction support is required. InnoDB is suitable for applications that require high data consistency and transaction processing, such as e-commerce platforms, while MyISAM is suitable for read-intensive and transaction-free applications such as blog systems.

In MySQL, the function of foreign keys is to establish the relationship between tables and ensure the consistency and integrity of the data. Foreign keys maintain the effectiveness of data through reference integrity checks and cascading operations. Pay attention to performance optimization and avoid common errors when using them.

There are four main index types in MySQL: B-Tree index, hash index, full-text index and spatial index. 1.B-Tree index is suitable for range query, sorting and grouping, and is suitable for creation on the name column of the employees table. 2. Hash index is suitable for equivalent queries and is suitable for creation on the id column of the hash_table table of the MEMORY storage engine. 3. Full text index is used for text search, suitable for creation on the content column of the articles table. 4. Spatial index is used for geospatial query, suitable for creation on geom columns of locations table.

TocreateanindexinMySQL,usetheCREATEINDEXstatement.1)Forasinglecolumn,use"CREATEINDEXidx_lastnameONemployees(lastname);"2)Foracompositeindex,use"CREATEINDEXidx_nameONemployees(lastname,firstname);"3)Forauniqueindex,use"CREATEU

The main difference between MySQL and SQLite is the design concept and usage scenarios: 1. MySQL is suitable for large applications and enterprise-level solutions, supporting high performance and high concurrency; 2. SQLite is suitable for mobile applications and desktop software, lightweight and easy to embed.

Indexes in MySQL are an ordered structure of one or more columns in a database table, used to speed up data retrieval. 1) Indexes improve query speed by reducing the amount of scanned data. 2) B-Tree index uses a balanced tree structure, which is suitable for range query and sorting. 3) Use CREATEINDEX statements to create indexes, such as CREATEINDEXidx_customer_idONorders(customer_id). 4) Composite indexes can optimize multi-column queries, such as CREATEINDEXidx_customer_orderONorders(customer_id,order_date). 5) Use EXPLAIN to analyze query plans and avoid

Using transactions in MySQL ensures data consistency. 1) Start the transaction through STARTTRANSACTION, and then execute SQL operations and submit it with COMMIT or ROLLBACK. 2) Use SAVEPOINT to set a save point to allow partial rollback. 3) Performance optimization suggestions include shortening transaction time, avoiding large-scale queries and using isolation levels reasonably.


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