SEM V MYSQL Practical 4

Abdul Haseeb - Sep 4 - - Dev Community
  1. Display those book names whose name is 6 characters long.
   SELECT Title FROM Book WHERE LENGTH(Title) = 6;
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  1. Display the first 2 records from the Book table.
   SELECT * FROM Book LIMIT 2;
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  1. Display from the 4th to the 7th records from the Book table.
   SELECT * FROM Book LIMIT 4, 4;
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  1. Display book name, publisher name, and price from the book table which do not have price value.
   SELECT Title, Pub, Price FROM Book WHERE Price IS NULL;
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  1. Display the Author name, price, and 15% of Price as Discount from the table Book.
   SELECT Author, Price, Price * 0.15 AS Discount FROM Book;
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  1. Display the student name and date of returning that have returned in the month ‘January’ from Book_Issue table.
   SELECT Name, DOR FROM Book_Issue WHERE MONTH(DOR) = 1;
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  1. Display Roll no wise no. of books taken from Book_Issue table.
   SELECT RNO, COUNT(*) AS Books_Taken FROM Book_Issue GROUP BY RNO;
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  1. Display the name in upper case, reverse of the student name, and total no. of characters of student name from Book_Issue table.
   SELECT UPPER(Name) AS Upper_Name, REVERSE(Name) AS Reversed_Name, LENGTH(Name) AS Name_Length FROM Book_Issue;
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  1. Display the number of days for which the book is taken by the student.
   SELECT Name, DATEDIFF(DOR, DOI) AS Days_Taken FROM Book_Issue;
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  1. Display the number of days for which the book is taken by the student where the number of days is greater than 10.

    SELECT Name, DATEDIFF(DOR, DOI) AS Days_Taken FROM Book_Issue WHERE DATEDIFF(DOR, DOI) > 10;
    
  2. Display the student name and Roll no. who have taken Science books or Thriller books (i.e., Bookid starts from S or T) from the Book_Issue table and who issued in the year 2023.

    SELECT Name, RNO FROM Book_Issue 
    WHERE (Book_id LIKE 'S%' OR Book_id LIKE 'T%') 
      AND YEAR(DOI) = 2023;
    
  3. Increase the price of all books by 20%. Display the books and price whose price is more than 2500.

    UPDATE Book SET Price = Price * 1.20;
    SELECT * FROM Book WHERE Price > 2500;
    
  4. Display the book details in ascending order of their price for publisher name ‘Techmedia’.

    SELECT * FROM Book WHERE Pub = 'Techmedia' ORDER BY Price ASC;
    
  5. Display the details of the books in ascending order of the publisher name and descending of price.

    SELECT * FROM Book ORDER BY Pub ASC, Price DESC;
    
  6. Display all the unique publishers in descending order.

    SELECT DISTINCT Pub FROM Book ORDER BY Pub DESC;
    
  7. Display the student name, bookid, and DOJ who have issued in the year on 05-01-2024, 18-02-2024, and 15-06-2023 in ascending order.

    SELECT Name, Book_id, DOI FROM Book_Issue 
    WHERE DOI IN ('2024-01-05', '2024-02-18', '2023-06-15') 
    ORDER BY DOI ASC;
    
  8. Display all the books except those published by ‘Pearson’ & ‘Techmedia’ in ascending order of price.

    SELECT * FROM Book 
    WHERE Pub NOT IN ('Pearson', 'Techmedia') 
    ORDER BY Price ASC;
    
  9. Display the sum of prices given to the Pearson publisher.

    SELECT SUM(Price) AS Total_Price FROM Book WHERE Pub = 'Pearson';
    
  10. Display the total quantity publisher-wise whose total quantity is less than 100.

    SELECT Pub, SUM(Qty) AS Total_Qty 
    FROM Book 
    GROUP BY Pub 
    HAVING Total_Qty < 100;
    
  11. Display the category and number of books published for each category which contains at least 2 books.

    SELECT Category, COUNT(*) AS Number_of_Books 
    FROM Book 
    GROUP BY Category 
    HAVING COUNT(*) >= 2;
    
  12. Display each category’s total, average, minimum, and maximum price, and number of books.

    SELECT Category, 
           SUM(Price) AS Total_Price, 
           AVG(Price) AS Average_Price, 
           MIN(Price) AS Minimum_Price, 
           MAX(Price) AS Maximum_Price, 
           COUNT(*) AS Number_of_Books
    FROM Book
    GROUP BY Category;
    
  13. Display book details whose quantity is an odd value.

    SELECT * FROM Book WHERE Qty % 2 = 1;
    
  14. Display all records from Book_Issue table showing message as (example) ‘Krishna issued the book R185 on 2023-06-02’.

    SELECT CONCAT(Name, ' issued the book ', Book_id, ' on ', DOI) AS Issue_Message 
    FROM Book_Issue;
    
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