Enter and run your own SELECT statements In these exercises, you’ll enter and ru
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Question
Enter and run your own SELECT statements In these exercises, you’ll enter and run your own SELECT statements.
1. Write a SELECT statement that returns four columns from the Products table: product_code, product_name, list_price, and discount_percent. Then, run this statement to make sure it works correctly. Add an ORDER BY clause to this statement that sorts the result set by list price in descending sequence. Then, run this statement again to make sure it works correctly. This is a good way to build and test a statement, one clause at a time.
2. Write a SELECT statement that returns one column from the Customers table named full_name that joins the last_name and first_name columns. Format this column with the last name, a comma, a space, and the first name like this: Doe, John Sort the result set by last name in ascending sequence. Return only the customers whose last name begins with letters from M to Z.
3. Write a SELECT statement that returns these columns from the Products table: product_name The product_name column list_price The list_price column date_added The date_added column Return only the rows with a list price that’s greater than 500 and less than 2000. Sort the result set in descending sequence by the date_added column.
4. Write a SELECT statement that returns these column names and data from the Products table: product_name The product_name column list_price The list_price column discount_percent The discount_percent column discount_amount A column that’s calculated from the previous two columns discount_price A column that’s calculated from the previous three columns Use the ROWNUM pseudo column so the result set contains only the first 5 rows. Sort the result set by discount price in descending sequence.
5. Write a SELECT statement that returns these column names and data from the Order_Items table: item_id The item_id column item_price The item_price column discount_amount The discount_amount column quantity The quantity column price_total A column that’s calculated by multiplying the item price by the quantity discount_total A column that’s calculated by multiplying the discount amount by the quantity item_total A column that’s calculated by subtracting the discount amount from the item price and then multiplying by the quantity Only return rows where the item_total is greater than 500. Sort the result set by item total in descending sequence. Work with nulls and test expressions 6. Write a SELECT statement that returns these columns from the Orders table: order_id The order_id column order_date The order_date column ship_date The ship_date column Return only the rows where the ship_date column contains a null value.
7. Write a SELECT statement that uses the SYSDATE function to create a row with these columns: today_unformatted The SYSDATE function unformatted today_formatted The SYSDATE function in this format: MM-DD-YYYY This displays a number for the month, a number for the day, and a four-digit year. Use a FROM clause that specifies the Dual table.
8. Write a SELECT statement that creates a row with these columns: price 100 (dollars) tax_rate .07 (7 percent) tax_amount The price multiplied by the tax total The price plus the tax To calculate the fourth column, add the expressions you used for the first and third columns. Use a FROM clause that specifies the Dual table.
Explanation / Answer
Select is normally used to retrieve data by specifying column names suceeding it.
Order by is used to sort the list which is by default ascending but if we need to sort it in descending order,
Syntax: Order by column_name desc
ROUND function is used to round off the answer upto number of digits required
1.) Select product_code, product_name, list_price,discount_percent from Products order by list_price desc
2.) SELECT last_name+', '+ first_name AS full_name FROM Customers WHERE LastName LIKE '[M-Z]%' order by last_name
3.) SELECT product_name, list_price, date_added FROM products WHERE list_price BETWEEN 500 and 2000 ORDER BY date_added DESC;
4.)SELECT product_name, list_price, discount_percent, ROUND(list_price - (discount_percent / 100 * list_price), 2) AS discount_price FROM products
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