黑脸艺术家 发表于 2023-4-12 10:50:34

MySQL语句查询表中数据

库:
CREATE DATABASE IF NOT EXISTS 实验二
DEFAULT CHARACTER SET utf8mb4
DEFAULT COLLATE utf8mb4_0900_ai_ci;

CREATE TABLE IF NOT EXISTS 学生表 (
      sno CHAR(10) NOT NULL COMMENT '学号',
    sn VARCHAR(12) NOT NULL COMMENT '姓名',
    sex ENUM('男','女') NOT NULL DEFAULT '男' COMMENT '性别',
    dat DATE NOT NULL COMMENT '出生日期',
    maj VARCHAR(10) NOT NULL COMMENT '专业',
    DEP VARCHAR(10) NOT NULL COMMENT '院系',
    pho VARCHAR(11) NOT NULL COMMENT '联系电话',
    PRIMARY KEY (sno)
) ENGINE = InnoDB DEFAULT CHARSET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci;
INSERT INTO 学生表 (sno,sn,sex,dat,maj,DEP,pho)
VALUES ('0433','张艳','女','2000-9-13','计算机','信息学院',NULL),
('0496','李越','女','2001-1-23','信息','信息学院','1381290xxxx'),
('0529','赵欣','男','2002-2-27','信息','信息学院','1350222xxxx'),
('0531','张志国','女','2002-10-10','自动化','工学院','1331256xxxx'),
('0538','于兰兰','男','2002-2-1','数学','理学院','1331200xxxx'),
('0591','王丽丽','女','2003-3-21','计算机','信息学院','1332080xxxx'),
('0592','王海强','女','2003-9-1','数学','理学院',NULL);


CREATE TABLE IF NOT EXISTS 课程表 (
      course_sno CHAR(10) NOT NULL COMMENT '课程号',
    cn CHAR(30) NOT NULL COMMENT '课程名',
    cnu FLOAT(6) NOT NULL COMMENT '学分数',
    cti FLOAT(6) NOT NULL COMMENT '学时数',
    tec VARCHAR(12) NOT NULL COMMENT '任课教师',
    PRIMARY KEY (course_sno)
) ENGINE = InnoDB DEFAULT CHARSET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci;
INSERT INTO 课程表 (course_sno,cn,cnu,cti,tec)
VALUES ('K001','计算机图形学','2.5','40','胡晶晶'),
('K002','计算机应用基础','3','48','任泉'),
('K006','数据结构','4','64','马跃先'),
('M001','政治经济学','4','64','孔繁新'),
('S001','高等数学','3','48','赵晓尘');


CREATE TABLE IF NOT EXISTS 学生成绩表 (
      course_sno CHAR(10) NOT NULL COMMENT '课程号',
    sno CHAR(10) NOT NULL COMMENT '学号',
    tim TIMESTAMP NOT NULL COMMENT '选课时间',
    nor INT NOT NULL COMMENT '平时成绩',
      pro FLOAT NOT NULL COMMENT '平时成绩比重',
    tex INT NOT NULL COMMENT '考试成绩',
    PRIMARY KEY (course_sno,sno)
) ENGINE = InnoDB DEFAULT CHARSET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci;
INSERT INTO 学生成绩表(course_sno,sno,tim,nor,pro,tex)
VALUES ('K001','0433','2017-8-23 16:14:11','90.5','0.4','93.5'),
('K001','0529','2017-8-24 8:15:11','85','0.3','90'),
('K001','0531','2017-8-25 10:18:34','57','0.4','75'),
('K001','0591','2017-8-24 15:20:24','81.5','0.4','71.5'),
('K002','0496','2018-2-25 15:20:24',NULL,'0.3',NULL),
('K002','0529','2018-2-24 10:15:21','70','0.4','83'),
('K002','0531','2018-2-25 13:20:19','75','0.2','81.5'),
('K002','0538','2018-2-24 14:20:24','70.5','0.4','73'),
('K002','0592','2018-2-15 9:18:12','85','0.4',NULL),
('K006','0531','2018-8-25 19:17:25','93','0.3','86'),
('K006','0591','2018-8-24 13:19:45','85','0.4','82'),
('M001','0496','2019-2-23 10:8:11','83','0.3','91'),
('M001','0591','2019-2-25 12:14:12','92.5','0.4','89'),
('S001','0531','2019-8-26 13:15:12','82.5','0.4','77'),
('S001','0538','2019-8-27 15:10:12','75.2','0.3',NULL);





碰见的一些问题

1.查询学时数大于60的课程信息:
SELECT *
FROM 课程表
WHERE cti>60;
显示错误:Error Code: 1054. Unknown column 'cti>60' in 'where clause'

2.查询在2003年出生的学生的学号、姓名、出生日期和年龄。
SELECT sno,sn,dat,age
FROM 学生表
WHERE ’2004-1-1’>dat>=’2003-1-1’;
显示错误:Error Code: 1054. Unknown column 'age' in 'field list'

3.查询姓张的学生的学号、姓名和专业。
SELECT sno,sn,maj
FROM 学生表
WHERE sn LIKE ’张’;
显示错误:Error Code: 1054. Unknown column '’张’' in 'where clause'   (同1类型错误)

4.查询没有考试成绩的学号和课程号。
SELECT sno,course_sno
FROM 学生成绩表
WHERE tex IS NULL;
运行结果:data:image/png;base64,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怎么都是NULL...

5.查询选修了K001课程的学生人数。
SELECTCOUNT(course_sn) AS 学生人数
FROM 学生成绩表
WHERE course_sno=K001;
显示错误:Error Code: 1054. Unknown column 'course_sn' in 'field list'   (同2类型错误)


6.查询选修三门以上(含三门)课程的学生的学号和考试平均分。
SELECT 学生表.sno,学生成绩表.AVG(tex) AS COUNR(sno,tex)
FROM 学生成绩表,学生表
WHERE 学生表.sno=学生成绩表.AVG(tex)
显示错误:Error Code: 1064. You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near '(sno,tex) FROM 学生成绩表,学生表 WHERE 学生表.sno=学生成绩表.AVG' at line 1   (我看课本上写AVG是SQL聚合函数,按列计算平均值)


7.查询“于兰兰”的选课信息,列出学号、姓名、课程名。SELECT 学生表.sno,学生成绩表.course_snoFROM 学生表,学生成绩表WHERE sn=’于兰兰’;显示错误:Error Code: 1054. Unknown column '’于兰兰’' in 'where clause'


8.查询选修“计算机应用基础”的学生的学号、姓名。
SELECT sno,sn
FROM 学生成绩表,学生表
WHERE cn=’计算机应用基础’;
显示错误:Error Code: 1052. Column 'sno' in field list is ambiguous


然后下面两个是按照自连接查询法,给表取两个别名x、y
9.查询与“张艳”同一班级的学生的学号和姓名。SELECT x.sno,x.snFROM 学生表 AS x, 学生表 AS yWHERE x.maj AND y.sn=’张艳’;显示错误:Error Code: 1054. Unknown column '’张艳’' in 'where clause'


10.查询比“计算机应用基础”学时多的课程的课程号、课程名和课时。SELECT x.course_sno AS 课程号, x.cn AS 课程名, x.ct AS 学时FROM 课程表 AS x, 课程表 AS yWHERE x.ct>y.ct AND y.course_sno=’计算机应用基础’;显示错误:Error Code: 1054. Unknown column 'x.ct' in 'field list'
谢谢大佬了!!!!!!!!!!!!


isdkz 发表于 2023-4-12 13:39:14

根据您的问题,我为您提供了修改后的查询语句。以下是您的问题和相应的修改后的查询语句:

1、查询学时数大于60的课程信息:
SELECT *
FROM 课程表
WHERE cti > 60;

2、查询在2003年出生的学生的学号、姓名、出生日期和年龄。
SELECT sno, sn, dat, TIMESTAMPDIFF(YEAR, dat, CURDATE()) AS age
FROM 学生表
WHERE dat >= '2003-01-01' AND dat < '2004-01-01';

3、查询姓张的学生的学号、姓名和专业。
SELECT sno, sn, maj
FROM 学生表
WHERE sn LIKE '张%';

4、查询没有考试成绩的学号和课程号。
SELECT sno, course_sno
FROM 学生成绩表
WHERE tex IS NULL;

5、查询选修了K001课程的学生人数。
SELECT COUNT(sno) AS 学生人数
FROM 学生成绩表
WHERE course_sno = 'K001';

6、查询选修三门以上(含三门)课程的学生的学号和考试平均分。
SELECT sno, AVG(tex) AS 平均分
FROM 学生成绩表
GROUP BY sno
HAVING COUNT(course_sno) >= 3;

7、查询“于兰兰”的选课信息,列出学号、姓名、课程名。
SELECT 学生表.sno, 学生表.sn, 课程表.cn
FROM 学生表
JOIN 学生成绩表 ON 学生表.sno = 学生成绩表.sno
JOIN 课程表 ON 学生成绩表.course_sno = 课程表.course_sno
WHERE 学生表.sn = '于兰兰';

8、查询选修“计算机应用基础”的学生的学号、姓名。
SELECT 学生表.sno, 学生表.sn
FROM 学生表
JOIN 学生成绩表 ON 学生表.sno = 学生成绩表.sno
JOIN 课程表 ON 学生成绩表.course_sno = 课程表.course_sno
WHERE 课程表.cn = '计算机应用基础';

9、查询与“张艳”同一班级的学生的学号和姓名。
SELECT x.sno, x.sn
FROM 学生表 AS x
JOIN 学生表 AS y ON x.maj = y.maj
WHERE y.sn = '张艳';

10、查询比“计算机应用基础”学时多的课程的课程号、课程名和课时。
SELECT x.course_sno AS 课程号, x.cn AS 课程名, x.cti AS 学时
FROM 课程表 AS x
JOIN 课程表 AS y ON x.cti > y.cti
WHERE y.cn = '计算机应用基础';
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