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SQL Subquery Exercises: Find all orders with order amounts which is above the average amount of the related customer

SQL SUBQUERY: Exercise-12 with Solution

12. From the following tables write a SQL query to find those orders, which are higher than the average amount of the orders. Return ord_no, purch_amt, ord_date, customer_id and salesman_id.

Sample table: Orders


Sample table: Customer


Sample Solution:

SELECT * 
FROM orders a
WHERE purch_amt >
    (SELECT AVG(purch_amt) FROM orders b 
     WHERE b.customer_id = a.customer_id);

Output of the Query:

ord_no	purch_amt	ord_date	customer_id	salesman_id
70008	5760.00		2012-09-10	3002		5001
70003	2480.40		2012-10-10	3009		5003
70013	3045.60		2012-04-25	3002		5001
70007	948.50		2012-09-10	3005		5002

Explanation:

SQL Subqueries: Find all orders with order amounts which is above the average amount of the related customer.

Practice Online


Inventory database model

Query Visualization:

Duration:

Query visualization of Find all orders with order amounts which is above the average amount of the related customer - Duration

Rows:

Query visualization of Find all orders with order amounts which is above the average amount of the related customer - Rows

Cost:

Query visualization of Find all orders with order amounts which is above the average amount of the related customer - Cost

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Previous: From the following tables, write a SQL query to find the salespeople who had more than one customer. Return salesman_id and name.
Next: From the following tables, write a SQL query to find those orders, which are equal or higher than average amount of the orders. Return ord_no, purch_amt, ord_date, customer_id and salesman_id.

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SQL: Tips of the Day

SQL Server SELECT into existing table.

INSERT INTO dbo.TABLETWO
SELECT col1, col2
  FROM dbo.TABLEONE
 WHERE col3 LIKE @search_key

This assumes there's only two columns in dbo.TABLETWO - you need to specify the columns otherwise:

INSERT INTO dbo.TABLETWO
  (col1, col2)
SELECT col1, col2
  FROM dbo.TABLEONE
 WHERE col3 LIKE @search_key

Database: SQL Server

Ref: https://bit.ly/3y6tpA3