


Questions pratiques sélectionnées MtSQL essentielles avec réponses
Noms de table et champs (MySQL)
Table des étudiants
Étudiant(s_id, s_name, s_birth, s_sex)
Carte d'étudiant, nom de l'étudiant, date de naissance, sexe de l'étudiantTableau des cours
Cours(c_id, c_name, t_id)
ID du cours, nom du cours, ID de l'enseignantTable des professeurs
Professeur(t_id, t_name)
ID de l'enseignant, nom de l'enseignantTableau des scores
Score(s_id, c_id, s_score)
ID étudiant, ID de cours, score
Test Data - Creating Tables
- Student Table
CREATE TABLE `Student`( `s_id` VARCHAR(20), `s_name` VARCHAR(20) NOT NULL DEFAULT '', `s_birth` VARCHAR(20) NOT NULL DEFAULT '', `s_sex` VARCHAR(10) NOT NULL DEFAULT '', PRIMARY KEY(`s_id`) );
- Course Table
CREATE TABLE `Course`( `c_id` VARCHAR(20), `c_name` VARCHAR(20) NOT NULL DEFAULT '', `t_id` VARCHAR(20) NOT NULL, PRIMARY KEY(`c_id`) );
- Teacher Table
CREATE TABLE `Teacher`( `t_id` VARCHAR(20), `t_name` VARCHAR(20) NOT NULL DEFAULT '', PRIMARY KEY(`t_id`) );
- Score Table
CREATE TABLE `Score`( `s_id` VARCHAR(20), `c_id` VARCHAR(20), `s_score` INT(3), PRIMARY KEY(`s_id`,`c_id`) );
- Inserting Test Data into Student Table
INSERT INTO Student VALUES('01', 'John Doe', '1990-01-01', 'Male'); INSERT INTO Student VALUES('02', 'Jane Smith', '1990-12-21', 'Male'); INSERT INTO Student VALUES('03', 'Michael Brown', '1990-05-20', 'Male'); INSERT INTO Student VALUES('04', 'Emily Davis', '1990-08-06', 'Male'); INSERT INTO Student VALUES('05', 'Lucy Johnson', '1991-12-01', 'Female'); INSERT INTO Student VALUES('06', 'Sophia Williams', '1992-03-01', 'Female'); INSERT INTO Student VALUES('07', 'Olivia Taylor', '1989-07-01', 'Female'); INSERT INTO Student VALUES('08', 'Victoria King', '1990-01-20', 'Female');
- Inserting Test Data into Course Table
INSERT INTO Course VALUES('01', 'Literature', '02'); INSERT INTO Course VALUES('02', 'Mathematics', '01'); INSERT INTO Course VALUES('03', 'English', '03');
- Inserting Test Data into Teacher Table
INSERT INTO Teacher VALUES('01', 'Andrew'); INSERT INTO Teacher VALUES('02', 'Bethany'); INSERT INTO Teacher VALUES('03', 'Charlie');
- Transcript Test Data
insert into Score values('01' , '01' , 80); insert into Score values('01' , '02' , 90); insert into Score values('01' , '03' , 99); insert into Score values('02' , '01' , 70); insert into Score values('02' , '02' , 60); insert into Score values('02' , '03' , 80); insert into Score values('03' , '01' , 80); insert into Score values('03' , '02' , 80); insert into Score values('03' , '03' , 80); insert into Score values('04' , '01' , 50); insert into Score values('04' , '02' , 30); insert into Score values('04' , '03' , 20); insert into Score values('05' , '01' , 76); insert into Score values('05' , '02' , 87); insert into Score values('06' , '01' , 31); insert into Score values('06' , '03' , 34); insert into Score values('07' , '02' , 89); insert into Score values('07' , '03' , 98);
Exercise questions and SQL statements
- Retrieve the information and course scores of students who have a higher score in course '01' than in course '02'
SELECT a.*, b.s_score AS '01_score', c.s_score AS '02_score' FROM student a JOIN score b ON a.s_id = b.s_id AND b.c_id = '01' LEFT JOIN score c ON a.s_id = c.s_id AND c.c_id = '02' WHERE b.s_score > COALESCE(c.s_score, 0); -- Using COALESCE instead of OR c.c_id = NULL -- Alternatively SELECT a.*, b.s_score AS '01_score', c.s_score AS '02_score' FROM student a, score b, score c WHERE a.s_id = b.s_id AND a.s_id = c.s_id AND b.c_id = '01' AND c.c_id = '02' AND b.s_score > c.s_score;
- Retrieve the information and course scores of students who have a lower score in course '01' than in course '02'
SELECT a.*, b.s_score AS '01_score', c.s_score AS '02_score' FROM student a LEFT JOIN score b ON a.s_id = b.s_id AND b.c_id = '01' JOIN score c ON a.s_id = c.s_id AND c.c_id = '02' WHERE COALESCE(b.s_score, 0) < c.s_score; -- Using COALESCE for clarity
- Retrieve student IDs, names, and average scores for students with an average score of 60 or above
SELECT b.s_id, b.s_name, ROUND(AVG(a.s_score), 2) AS avg_score FROM student b JOIN score a ON b.s_id = a.s_id GROUP BY b.s_id, b.s_name HAVING AVG(a.s_score) >= 60;
- Retrieve student IDs, names, and average scores for students with an average score below 60 (including those with no scores)
SELECT b.s_id, b.s_name, ROUND(AVG(a.s_score), 2) AS avg_score FROM student b LEFT JOIN score a ON b.s_id = a.s_id GROUP BY b.s_id, b.s_name HAVING AVG(a.s_score) < 60 UNION SELECT a.s_id, a.s_name, 0 AS avg_score FROM student a WHERE a.s_id NOT IN (SELECT DISTINCT s_id FROM score);
- Retrieve student IDs, names, total courses selected, and total scores across all courses
SELECT a.s_id, a.s_name, COUNT(b.c_id) AS sum_course, SUM(b.s_score) AS sum_score FROM student a LEFT JOIN score b ON a.s_id = b.s_id GROUP BY a.s_id, a.s_name;
- Query the number of teachers with the surname "Smith"
SELECT COUNT(t_id) FROM teacher WHERE t_name LIKE 'Smith%';
- Query the information of students who have taken classes taught by Teacher "John Doe"
SELECT a.* FROM student a JOIN score b ON a.s_id = b.s_id WHERE b.c_id IN ( SELECT c_id FROM course WHERE t_id = ( SELECT t_id FROM teacher WHERE t_name = 'John Doe' ) );
- Query the information of students who have not taken classes taught by Teacher "John Doe"
SELECT * FROM student c WHERE c.s_id NOT IN ( SELECT a.s_id FROM student a JOIN score b ON a.s_id = b.s_id WHERE b.c_id IN ( SELECT a.c_id FROM course a JOIN teacher b ON a.t_id = b.t_id WHERE t_name = 'John Doe' ) );
- Query the information of students who have taken both courses with IDs "Math101" and "Science101"
SELECT a.* FROM student a, score b, score c WHERE a.s_id = b.s_id AND a.s_id = c.s_id AND b.c_id = 'Math101' AND c.c_id = 'Science101';
- Query the information of students who have taken the course with ID "Math101" but have not taken the course with ID "Science101"
SELECT a.* FROM student a WHERE a.s_id IN (SELECT s_id FROM score WHERE c_id = 'Math101') AND a.s_id NOT IN (SELECT s_id FROM score WHERE c_id = 'Science101');
- Query information of students who have not taken all courses
-- @wendiepei's approach SELECT s.* FROM student s LEFT JOIN Score s1 ON s1.s_id = s.s_id GROUP BY s.s_id HAVING COUNT(s1.c_id) < (SELECT COUNT(*) FROM course); -- @k1051785839's approach SELECT * FROM student WHERE s_id NOT IN ( SELECT s_id FROM score t1 GROUP BY s_id HAVING COUNT(*) = (SELECT COUNT(DISTINCT c_id) FROM course) );
- Query information of students who have taken at least one course in common with student ID '01'
SELECT * FROM student WHERE s_id IN ( SELECT DISTINCT a.s_id FROM score a WHERE a.c_id IN ( SELECT c_id FROM score WHERE s_id = '01' ) );
- Query information of students who have taken exactly the same courses as student ID '01'
SELECT t3.* FROM ( SELECT s_id, group_concat(c_id ORDER BY c_id) group1 FROM score WHERE s_id <> '01' GROUP BY s_id ) t1 INNER JOIN ( SELECT group_concat(c_id ORDER BY c_id) group2 FROM score WHERE s_id = '01' GROUP BY s_id ) t2 ON t1.group1 = t2.group2 INNER JOIN student t3 ON t1.s_id = t3.s_id
- Query the names of students who have not taken any course taught by Teacher "Tom"
select a.s_name from student a where a.s_id not in ( select s_id from score where c_id = (select c_id from course where t_id =( select t_id from teacher where t_name = 'Tom')));
- Query student IDs, names, and average scores of students who have failed two or more courses
SELECT a.s_id, a.s_name, ROUND(AVG(b.s_score), 2) AS average_score FROM student a LEFT JOIN score b ON a.s_id = b.s_id WHERE a.s_id IN ( SELECT s_id FROM score WHERE s_score < 60 GROUP BY s_id HAVING COUNT(*) >= 2 ) GROUP BY a.s_id, a.s_name;
- Retrieve student information for students who scored less than 60 on course "01", ordered by score in descending order.
SELECT a.*, b.c_id, b.s_score FROM student a JOIN score b ON a.s_id = b.s_id WHERE b.c_id = '01' AND b.s_score < 60 ORDER BY b.s_score DESC;
- Display the scores of all courses and the average score for each student, ordered by their average score from highest to lowest.
SELECT a.s_id, MAX(CASE WHEN c_id = '01' THEN s_score END) AS Chinese, MAX(CASE WHEN c_id = '02' THEN s_score END) AS Math, MAX(CASE WHEN c_id = '03' THEN s_score END) AS English, ROUND(AVG(s_score), 2) AS average_score FROM score a GROUP BY a.s_id ORDER BY average_score DESC;
- Query the highest score, lowest score, average score, pass rate, medium rate, good rate, and excellent rate for each course. Display in the following format: Course ID, Course Name, Highest Score, Lowest Score, Average Score, Pass Rate, Medium Rate, Good Rate, Excellent Rate.
-- Pass is >=60, Medium is 70-80, Good is 80-90, Excellent is >=90
SELECT a.c_id, b.c_name, MAX(s_score) AS HighestScore, MIN(s_score) AS LowestScore, ROUND(AVG(s_score), 2) AS AverageScore, ROUND(100 * (SUM(CASE WHEN s_score >= 60 THEN 1 ELSE 0 END) / COUNT(s_score)), 2) AS PassRate, ROUND(100 * (SUM(CASE WHEN s_score BETWEEN 70 AND 80 THEN 1 ELSE 0 END) / COUNT(s_score)), 2) AS MediumRate, ROUND(100 * (SUM(CASE WHEN s_score BETWEEN 80 AND 90 THEN 1 ELSE 0 END) / COUNT(s_score)), 2) AS GoodRate, ROUND(100 * (SUM(CASE WHEN s_score >= 90 THEN 1 ELSE 0 END) / COUNT(s_score)), 2) AS ExcellentRate FROM score a LEFT JOIN course b ON a.c_id = b.c_id GROUP BY a.c_id, b.c_name;
Copier après la connexion- Sort scores by course and display rankings. MySQL does not have a built-in RANK() function, so we'll use variables to simulate it.
SELECT a.s_id, a.c_id, @rank := IF(@prev_score = a.s_score, @rank, @rank + 1) AS rank_without_ties, @prev_score := a.s_score AS score FROM (SELECT s_id, c_id, s_score FROM score ORDER BY c_id, s_score DESC) a, (SELECT @rank := 0, @prev_score := NULL) r ORDER BY a.c_id, a.rank_without_ties;
Copier après la connexion- Query the total score of each student and rank them
SELECT a.s_id, @rank := IF(@prev_score = a.sum_score, @rank, @rank + 1) AS rank, @prev_score := a.sum_score AS total_score FROM (SELECT s_id, SUM(s_score) AS sum_score FROM score GROUP BY s_id ORDER BY sum_score DESC) a, (SELECT @rank := 0, @prev_score := NULL) r ORDER BY total_score DESC;
Copier après la connexion- Query the average score of different courses taught by different teachers, sorted from highest to lowest
SELECT a.t_id, c.t_name, a.c_id, ROUND(AVG(s_score), 2) AS avg_score FROM course a LEFT JOIN score b ON a.c_id = b.c_id LEFT JOIN teacher c ON a.t_id = c.t_id GROUP BY a.c_id, a.t_id, c.t_name ORDER BY avg_score DESC;
Copier après la connexion- Query the information of students who rank second and third in all courses along with their scores
(SELECT d.*, c.ranking, c.s_score, c.c_id FROM (SELECT s_id, s_score, c_id, @rank := IF(@prev_cid = c_id, @rank + 1, 1) AS ranking, @prev_cid := c_id FROM score, (SELECT @rank := 0, @prev_cid := NULL) AS var_init WHERE c_id = '01' ORDER BY c_id, s_score DESC ) c LEFT JOIN student d ON c.s_id = d.s_id WHERE c.ranking BETWEEN 2 AND 3 ) UNION (SELECT d.*, c.ranking, c.s_score, c.c_id FROM (SELECT similar structure as above but with c_id = '02' in the WHERE clause) c LEFT JOIN student d ON c.s_id = d.s_id WHERE c.ranking BETWEEN 2 AND 3 ) UNION (SELECT similar structure as above but with c_id = '03' in the WHERE clause);
Copier après la connexion- Count the number of students in each score range for each subject:
select distinct f.c_name, a.c_id, b.`85-100`, b.Percentage as `[85-100] Percentage`, c.`70-85`, c.Percentage as `[70-85] Percentage`, d.`60-70`, d.Percentage as `[60-70] Percentage`, e.`0-60`, e.Percentage as `[0-60] Percentage` from score a left join ( select c_id, SUM(case when s_score > 85 and s_score <= 100 then 1 else 0 end) as `85-100`, ROUND(100*(SUM(case when s_score > 85 and s_score <= 100 then 1 else 0 end)/count(*)),2) as Percentage from score GROUP BY c_id ) b on a.c_id = b.c_id left join ( select c_id, SUM(case when s_score > 70 and s_score <= 85 then 1 else 0 end) as `70-85`, ROUND(100*(SUM(case when s_score > 70 and s_score <= 85 then 1 else 0 end)/count(*)),2) as Percentage from score GROUP BY c_id ) c on a.c_id = c.c_id left join ( select c_id, SUM(case when s_score > 60 and s_score <= 70 then 1 else 0 end) as `60-70`, ROUND(100*(SUM(case when s_score > 60 and s_score <= 70 then 1 else 0 end)/count(*)),2) as Percentage from score GROUP BY c_id ) d on a.c_id = d.c_id left join ( select c_id, SUM(case when s_score >= 0 and s_score <= 60 then 1 else 0 end) as `0-60`, ROUND(100*(SUM(case when s_score >= 0 and s_score <= 60 then 1 else 0 end)/count(*)),2) as Percentage from score GROUP BY c_id ) e on a.c_id = e.c_id left join course f on a.c_id = f.c_id;
Copier après la connexion- Query average scores and their ranks for students:
select a.s_id, @i:=@i+1 as 'No Gaps in Ranking', @k:=(case when @avg_score=a.avg_s then @k else @i end) as 'With Gaps in Ranking', @avg_score:=avg_s as 'Average Score' from (select s_id, ROUND(AVG(s_score),2) as avg_s from score GROUP BY s_id ORDER BY avg_s DESC) a, (select @avg_score:=0, @i:=0, @k:=0) b;
Copier après la connexion- Query records of the top three students in each subject:
select a.s_id, a.c_id, a.s_score from score a left join score b on a.c_id = b.c_id and a.s_score < b.s_score group by a.s_id, a.c_id, a.s_score having count(b.s_id) < 3 order by a.c_id, a.s_score desc;
Copier après la connexion- Query the number of students enrolled in each course:
select c_id, count(s_id) from score group by c_id;
Copier après la connexion- Query the student ID and name of students who have taken exactly two courses:
select s_id, s_name from student where s_id in (select s_id from score group by s_id having count(c_id) = 2);
Copier après la connexion- Query the number of male and female students:
select s_sex, count(s_sex) as Count from student group by s_sex;
Copier après la connexion- Query student information whose name contains the character "Tom":
select * from student where s_name like '%Tom%';
Copier après la connexion- Query list of students with the same name and gender, and count of such names:
select a.s_name, a.s_sex, count(*) as Count from student a join student b on a.s_id != b.s_id and a.s_name = b.s_name and a.s_sex = b.s_sex group by a.s_name, a.s_sex;
Copier après la connexion- Query list of students born in 1990:
select s_name from student where s_birth like '1990%';
Copier après la connexion- Query average scores for each course, ordered by average score descending, and course ID ascending if average scores are the same:
select c_id, round(avg(s_score), 2) as avg_score from score group by c_id order by avg_score desc, c_id asc;
Copier après la connexion- Query student ID, name, and average score of students with average score >= 85:
select a.s_id, b.s_name, round(avg(a.s_score), 2) as avg_score from score a left join student b on a.s_id = b.s_id group by s_id having avg_score >= 85;
Copier après la connexion- Query names and scores of students who scored less than 60 in the course "mathematics":
select a.s_name, b.s_score from student a join score b on a.s_id = b.s_id where b.c_id = (select c_id from course where c_name = 'mathematics') and b.s_score < 60;
Copier après la connexion- Query course-wise scores and total scores of all students:
select a.s_id, a.s_name, sum(case c.c_name when 'history' then b.s_score else 0 end) as 'history', sum(case c.c_name when 'mathematics' then b.s_score else 0 end) as 'mathematics', sum(case c.c_name when 'Politics' then b.s_score else 0 end) as 'Politics', sum(b.s_score) as 'Total score' from student a left join score b on a.s_id = b.s_id left join course c on b.c_id = c.c_id group by a.s_id, a.s_name;
Copier après la connexion- Query names, course names, and scores of students scoring above 70 in any course:
select a.s_name, b.c_name, c.s_score from student a left join score c on a.s_id = c.s_id left join course b on c.c_id = b.c_id where c.s_score >= 70;
Copier après la connexion- Query courses where students failed:
select a.s_id, a.c_id, b.c_name, a.s_score from score a left join course b on a.c_id = b.c_id where a.s_score < 60;
Copier après la connexion- Query student ID and name of students who scored above 80 in course '01':
select a.s_id, b.s_name from score a left join student b on a.s_id = b.s_id where a.c_id = '01' and a.s_score > 80;
Copier après la connexion- Count number of students in each course:
select count(*) from score group by c_id;
Copier après la connexion- Query information of the highest scoring student in courses taught by teacher "Tom": -- Get teacher ID
select c_id from course c, teacher d where c.t_id = d.t_id and d.t_name = 'Tom';
Copier après la connexion-- Get maximum score (could have ties)
select max(s_score) from score where c_id = '02';
Copier après la connexion-- Get information
select a.*, b.s_score, b.c_id, c.c_name from student a left join score b on a.s_id = b.s_id left join course c on b.c_id = c.c_id where b.c_id = (select c_id from course c, teacher d where c.t_id = d.t_id and d.t_name = 'Tom') and b.s_score in (select max(s_score) from score where c_id = '02');
Copier après la connexion- Query student ID, course ID, and score where different courses have the same score:
select distinct b.s_id, b.c_id, b.s_score from score a, score b where a.c_id != b.c_id and a.s_score = b.s_score;
Copier après la connexion- Query top two scores for each course:
select a.s_id, a.c_id, a.s_score from score a where (select count(1) from score b where b.c_id = a.c_id and b.s_score >= a.s_score) <= 2 order by a.c_id;
Copier après la connexion- Count number of students enrolled in each course (courses with more than 5 students):
select c_id, count(*) as total from score group by c_id having total > 5 order by total, c_id asc;
Copier après la connexion- Query student IDs who have enrolled in at least two courses:
select s_id, count(*) as sel from score group by s_id having sel >= 2;
Copier après la connexion- Query information of students who have enrolled in all courses:
select * from student where s_id in (select s_id from score group by s_id having count(*) = (select count(*) from course));
Copier après la connexion- Query age of each student: -- Calculate age based on birthdate; subtract one if current month/day is before birthdate's month/day
select s_birth, (date_format(now(), '%Y') - date_format(s_birth, '%Y') - (case when date_format(now(), '%m%d') > date_format(s_birth, '%m%d') then 0 else 1 end)) as age from student;
Copier après la connexion- Query students whose birthday is this week:
select * from student where week(date_format(now(), '%Y%m%d')) = week(s_birth);
Copier après la connexion- Query students whose birthday is next week:
select * from student where week(date_format(now(), '%Y%m%d')) + 1 = week(s_birth);
Copier après la connexion- Query students whose birthday is this month:
select * from student where month(date_format(now(), '%Y%m%d')) = month(s_birth);
Copier après la connexion- Query students whose birthday is next month:
select * from student where month(date_format(now(), '%Y%m%d')) + 1 = month(s_birth);
Copier après la connexionOK,If you find this article helpful, feel free to share it with more people.
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MySQL gère efficacement les données structurées par la structure de la table et la requête SQL, et met en œuvre des relations inter-tableaux à travers des clés étrangères. 1. Définissez le format de données et tapez lors de la création d'une table. 2. Utilisez des clés étrangères pour établir des relations entre les tables. 3. Améliorer les performances par l'indexation et l'optimisation des requêtes. 4. Bases de données régulièrement sauvegarde et surveillent régulièrement la sécurité des données et l'optimisation des performances.

MySQL vaut la peine d'être appris car il s'agit d'un puissant système de gestion de la base de données open source adapté au stockage, à la gestion et à l'analyse des données. 1) MySQL est une base de données relationnelle qui utilise SQL pour faire fonctionner les données et convient à la gestion structurée des données. 2) Le langage SQL est la clé pour interagir avec MySQL et prend en charge les opérations CRUD. 3) Le principe de travail de MySQL inclut l'architecture client / serveur, le moteur de stockage et l'optimiseur de requête. 4) L'utilisation de base comprend la création de bases de données et de tables, et l'utilisation avancée implique de rejoindre des tables à l'aide de la jointure. 5) Les erreurs courantes incluent les erreurs de syntaxe et les problèmes d'autorisation, et les compétences de débogage incluent la vérification de la syntaxe et l'utilisation des commandes Explication. 6) L'optimisation des performances implique l'utilisation d'index, l'optimisation des instructions SQL et la maintenance régulière des bases de données.

MySQL convient aux débutants pour acquérir des compétences de base de données. 1. Installez les outils MySQL Server et Client. 2. Comprendre les requêtes SQL de base, telles que SELECT. 3. 掌握数据操作: : 创建表、插入、更新、删除数据。 4. 学习高级技巧: : 子查询和窗口函数。 5. 调试和优化: : 检查语法、使用索引、避免 Sélectionner * , 并使用 Limite。

MySQL convient aux débutants car il est facile à utiliser et puissant. 1.MySQL est une base de données relationnelle et utilise SQL pour les opérations CRUD. 2. Il est simple à installer et nécessite la configuration du mot de passe de l'utilisateur racine. 3. Utilisez l'insertion, la mise à jour, la suppression et la sélection pour effectuer des opérations de données. 4. OrderBy, où et jointure peut être utilisé pour des requêtes complexes. 5. Le débogage nécessite de vérifier la syntaxe et d'utiliser Expliquez pour analyser la requête. 6. Les suggestions d'optimisation incluent l'utilisation d'index, le choix du bon type de données et de bonnes habitudes de programmation.
