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SQL Exercises: Display the orders in ascending order according to the order number

SQL Formatting Output: Exercise-3 with Solution

From the following table, write a SQL query to find all the orders. Sort the result-set in ascending order by ord_no. Return all fields.

Sample table: orders


Sample Solution:

SELECT * 
FROM orders 
ORDER BY ord_no;

Output of the Query:

ord_no	purch_amt	ord_date	customer_id	salesman_id
70001	150.50		2012-10-05	3005		5002
70002	65.26		2012-10-05	3002		5001
70003	2480.40		2012-10-10	3009		5003
70004	110.50		2012-08-17	3009		5003
70005	2400.60		2012-07-27	3007		5001
70007	948.50		2012-09-10	3005		5002
70008	5760.00		2012-09-10	3002		5001
70009	270.65		2012-09-10	3001		5005
70010	1983.43		2012-10-10	3004		5006
70011	75.29		2012-08-17	3003		5007
70012	250.45		2012-06-27	3008		5002
70013	3045.60		2012-04-25	3002		5001

Relational Algebra Expression:

Relational Algebra Expression: Display the orders according to the order number arranged by ascending order.

Relational Algebra Tree:

Relational Algebra Tree: Display the orders according to the order number arranged by ascending order.

Explanation:

Syntax of display the order number arranged by ascending order

Pictorial presentation:

Result of display the order number arranged by ascending order

Practice Online


Query Visualization:

Duration:

Query visualization of Display the orders according to the order number arranged by ascending order - Duration

Rows:

Query visualization of Display the orders according to the order number arranged by ascending order - Rows

Cost:

Query visualization of Display the orders according to the order number arranged by ascending order - Cost

 

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Previous: From the following table, write a SQL query to find the number of orders booked for each day. Return the result in a format like "For 2001-10-10 there are 15 orders".
Next: From the following table, write a SQL query to find all the orders. Sort the result-set in descending order by ord_date. Return all fields.

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SQL: Tips of the Day

Copy data into another table

If both tables are truly the same schema:

INSERT INTO newTable
SELECT * FROM oldTable

Otherwise, you'll have to specify the column names (the column list for newTable is optional if you are specifying a value for all columns and selecting columns in the same order as newTable's schema):

INSERT INTO newTable (col1, col2, col3)
SELECT column1, column2, column3
FROM oldTable

Ref: https://bit.ly/3jMQkbA