How to process student test score data in the online examination system: MySQL table structure design skills

How to process student test score data in the online examination system: MySQL table structure design skills

With the development of technology, more and more educational institutions have begun to adopt An online examination system is used to assess students’ academic performance. In this system, students' test score data is very important information. It can not only be used to evaluate students' learning levels, but also to analyze and improve teaching effects. Therefore, when designing the database of the online examination system, we need to reasonably design the table structure to save students' examination score data.

The following introduces some commonly used MySQL table structure design techniques, as well as specific code examples.

1. Create students table (students):
   In the examination system, you first need to create a student table to save students' personal information. This table can contain fields such as student ID, name, grade, and class. You can use the following SQL statement to create a student table:

CREATE TABLE students (
  student_id   INT PRIMARY KEY AUTO_INCREMENT,
  name         VARCHAR(20) NOT NULL,
  grade        INT NOT NULL,
  class        INT NOT NULL
);

2. Create an exam table (exams):
   Next, we need to create an exam table to save the basic information of the exam, such as exams Fields such as date (exam_date), exam subject (subject), exam duration (duration), etc. You can use the following SQL statement to create an exam table:

CREATE TABLE exams (
  exam_id      INT PRIMARY KEY AUTO_INCREMENT,
  exam_date    DATE NOT NULL,
  subject      VARCHAR(50) NOT NULL,
  duration     INT NOT NULL
);

3. Create a score table (scores):
   Test scores are the most critical data in the online exam system, we need to create a score table To save student test score information. This table can contain fields such as student ID (student_id), exam ID (exam_id), and exam score (score). The following SQL statement can be used to create a score table:

CREATE TABLE scores (
  student_id   INT NOT NULL,
  exam_id      INT NOT NULL,
  score        INT NOT NULL,
  PRIMARY KEY (student_id, exam_id),
  FOREIGN KEY (student_id) REFERENCES students(student_id),
  FOREIGN KEY (exam_id) REFERENCES exams(exam_id)
);

In this table, we used the student ID and exam ID as the composite primary key to ensure that each student has only one score record in each exam . At the same time, a foreign key association between the student ID and exam ID fields was also created to ensure the integrity and correctness of the data.

In addition to the above-mentioned student, examination and score tables, based on actual needs, we can also create other related tables, such as subject tables, question tables, etc., to better manage data in the examination system.

The following is an example that demonstrates how to insert data into the above table and query students' test scores:

-- 向学生表中插入数据
INSERT INTO students (name, grade, class)
VALUES ('张三', 2020, 1),
       ('李四', 2020, 1),
       ('王五', 2020, 2);

-- 向考试表中插入数据
INSERT INTO exams (exam_date, subject, duration)
VALUES ('2021-01-01', '数学', 120),
       ('2021-01-02', '英语', 90);

-- 向成绩表中插入数据
INSERT INTO scores (student_id, exam_id, score)
VALUES (1, 1, 80),
       (2, 1, 85),
       (3, 1, 90),
       (1, 2, 75),
       (2, 2, 90),
       (3, 2, 95);

-- 查询学生的考试成绩
SELECT s.name, e.subject, sc.score
FROM students s
JOIN scores sc ON s.student_id = sc.student_id
JOIN exams e ON sc.exam_id = e.exam_id;

Through the above code example, we can see how to insert the student table and exam table and score table data, and query students' test scores through SQL statements.

Summary:
When designing the database of the online examination system, reasonable table structure design is very important. The above MySQL table structure design skills can help us save students' test score data and query and analyze it through SQL statements. Of course, according to actual needs, we can also optimize and adjust the table structure according to changes in design and business logic to best meet the needs of the system.

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