Home Database Mysql Tutorial Essential MtSQL Selected Practice Questions with Answers

Essential MtSQL Selected Practice Questions with Answers

Aug 07, 2024 pm 08:40 PM

Essential MtSQL Selected Practice Questions with Answers

Table Names and Fields(MySQL)

  1. Student Table
    Student(s_id, s_name, s_birth, s_sex)
    Student ID, Student Name, Date of Birth, Student Gender

  2. Course Table

    Course(c_id, c_name, t_id)
    Course ID, Course Name, Teacher ID

  3. Teacher Table

    Teacher(t_id, t_name)
    Teacher ID, Teacher Name

  4. Score Table

    Score(s_id, c_id, s_score)
    Student ID, Course ID, Score

Test Data - Creating Tables

  1. 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`)  
);
Copy after login
  1. 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`)  
);
Copy after login
  1. Teacher Table
CREATE TABLE  `Teacher`(  
`t_id`  VARCHAR(20),  
`t_name`  VARCHAR(20) NOT NULL DEFAULT '',  
PRIMARY KEY(`t_id`)  
);
Copy after login
  1. Score Table
CREATE TABLE  `Score`(  
`s_id`  VARCHAR(20),  
`c_id`  VARCHAR(20),  
`s_score`  INT(3),  
PRIMARY KEY(`s_id`,`c_id`)  
);
Copy after login
  1. 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');
Copy after login
  1. 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');
Copy after login
  1. Inserting Test Data into Teacher Table
INSERT INTO Teacher VALUES('01', 'Andrew');  
INSERT INTO Teacher VALUES('02', 'Bethany');  
INSERT INTO Teacher VALUES('03', 'Charlie');
Copy after login
  1. 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);
Copy after login

Exercise questions and SQL statements

  1. 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;
Copy after login
  1. 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

Copy after login
  1. 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;
Copy after login
  1. 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);
Copy after login
  1. 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;
Copy after login
  1. Query the number of teachers with the surname "Smith"
SELECT  COUNT(t_id) FROM teacher WHERE t_name LIKE  'Smith%';
Copy after login
  1. 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'  
    )  
);
Copy after login
  1. 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'  
    )  
);
Copy after login
  1. 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';
Copy after login
  1. 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');
Copy after login
  1. 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)  
);
Copy after login
  1. 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'  
    )  
);
Copy after login
  1. 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 &lt;> '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
Copy after login
  1. 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')));
Copy after login
  1. 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;
Copy after login
  1. 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;
Copy after login
  1. 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;
Copy after login
  1. 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;
    
    Copy after login
    1. 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;
    
    Copy after login
    1. 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;
    
    Copy after login
    1. 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;
    
    Copy after login
    1. 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);
    
    Copy after login
    1. 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;
    
    Copy after login
    1. 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;
    
    Copy after login
    1. 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;
    
    Copy after login
    1. Query the number of students enrolled in each course:
    select c_id, count(s_id) from score group by c_id;
    
    Copy after login
    1. 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);
    
    Copy after login
    1. Query the number of male and female students:
    select s_sex, count(s_sex) as Count from student group by s_sex;
    
    Copy after login
    1. Query student information whose name contains the character "Tom":
    select * from student where s_name like '%Tom%';
    
    Copy after login
    1. 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;
    
    Copy after login
    1. Query list of students born in 1990:
    select s_name from student where s_birth like '1990%';
    
    Copy after login
    1. 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;
    
    Copy after login
    1. 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;
      
      Copy after login
      1. 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;
      
      Copy after login
      1. 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;
      
      Copy after login
      1. 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;
      
      Copy after login
      1. 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;
      
      Copy after login
      1. 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;
      
      Copy after login
      1. Count number of students in each course:
      select count(*) from score group by c_id;
      
      Copy after login
      1. 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';
      
      Copy after login

      -- Get maximum score (could have ties)

      select max(s_score) from score where c_id = '02';
      
      Copy after login

      -- 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');
      
      Copy after login
      1. 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;
      
      Copy after login
      1. 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;
      
      Copy after login
      1. 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;
      
      Copy after login
      1. 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;
      
      Copy after login
      1. 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));
      
      Copy after login
      1. 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;
      
      Copy after login
      1. Query students whose birthday is this week:
      select * from student where week(date_format(now(), '%Y%m%d')) = week(s_birth);
      
      Copy after login
      1. Query students whose birthday is next week:
      select * from student where week(date_format(now(), '%Y%m%d')) + 1 = week(s_birth);
      
      Copy after login
      1. Query students whose birthday is this month:
      select * from student where month(date_format(now(), '%Y%m%d')) = month(s_birth);
      
      Copy after login
      1. Query students whose birthday is next month:
      select * from student where month(date_format(now(), '%Y%m%d')) + 1 = month(s_birth);
      
      Copy after login

      OK,If you find this article helpful, feel free to share it with more people.

      If you want to find a SQL tool to practice, you can try our sqlynx, which has a simple interface and is easy to use. https://www.sqlynx.com/download/ Free download

      The above is the detailed content of Essential MtSQL Selected Practice Questions with Answers. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

Explain InnoDB Full-Text Search capabilities. Explain InnoDB Full-Text Search capabilities. Apr 02, 2025 pm 06:09 PM

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Difference between clustered index and non-clustered index (secondary index) in InnoDB. Difference between clustered index and non-clustered index (secondary index) in InnoDB. Apr 02, 2025 pm 06:25 PM

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values ​​and pointers to data rows, and is suitable for non-primary key column queries.

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Can mysql and mariadb coexist Can mysql and mariadb coexist Apr 08, 2025 pm 02:27 PM

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Apr 02, 2025 pm 07:05 PM

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

See all articles