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SQL: Using precedence with specified condition

SQL Boolean Operator Statement: Exercise-10 with Solution

Write a SQL query that displays order number, purchase amount, and the achieved and unachieved percentage (%) for those orders that exceed 50% of the target value of 6000.

Sample table: orders


Sample Solution :

SELECT ord_no,purch_amt, 
(100*purch_amt)/6000 AS "Achieved %", 
(100*(6000-purch_amt)/6000) AS "Unachieved %" 
FROM  orders 
WHERE (100*purch_amt)/6000>50;

Output of the Query:

ord_no	purch_amt	Achieved %			Unachieved %
70008	5760.00		96.0000000000000000	4.0000000000000000
70013	3045.60		50.7600000000000000	49.2400000000000000

Explanation :

Syntax of display order number, purchase amount, the achieved and unachieved percentage (%) for those order which exceeds the 50% of target value of 6000

Pictorial presentation :

Result of display order number, purchase amount, the achieved and unachieved percentage (%) for those order which exceeds the 50% of target value of 6000

Practice Online


Query Visualization:

Duration:

Query visualization of Using precedence with specified condition - Duration

Rows:

Query visualization of Using precedence with specified condition - Rows

Cost:

Query visualization of Using precedence with specified condition - Cost

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Previous: From the following table, write a SQL query to find all orders subject to following conditions. Exclude combination of order date equal to '2012-08-17' or customer ID higher than 3005 and purchase amount less than 1000.
Next: From the following table, write a SQL query to find the details of all employees whose last name is ‘Dosni’ or ‘Mardy’. Return emp_idno, emp_fname, emp_lname, and emp_dept.

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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