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SQL CASE Expression
The SQL CASE
expression is a control flow statement that allows you to add conditional logic to your SQL queries. It's similar to the if-else
statements found in many programming languages. The CASE
expression goes through conditions and returns a value when the first condition is met. If no conditions are true, it returns a default value.
Here’s the general syntax:
CASE
WHEN condition1 THEN result1
WHEN condition2 THEN result2
...
ELSE resultN
END
Let's look at some examples to better understand how the CASE
expression works.
Example 1: Basic CASE
Expression
Suppose you have a table Employees
with columns EmployeeID
, Name
, and DepartmentID
. You want to create a report that shows each employee's department name instead of the department ID.
SELECT
EmployeeID,
Name,
DepartmentID,
CASE
WHEN DepartmentID = 1 THEN 'HR'
WHEN DepartmentID = 2 THEN 'Finance'
WHEN DepartmentID = 3 THEN 'Engineering'
ELSE 'Other'
END AS DepartmentName
FROM Employees;
Output:
EmployeeID | Name | DepartmentID | DepartmentName |
---|---|---|---|
1 | Alice | 1 | HR |
2 | Bob | 3 | Engineering |
3 | Charlie | 2 | Finance |
4 | David | 4 | Other |
Example 2: CASE
Expression with Aggregate Functions
Suppose you have a table Orders
with columns OrderID
, CustomerID
, OrderDate
, and Amount
. You want to categorize each order as 'Small', 'Medium', or 'Large' based on the Amount
.
SELECT
OrderID,
CustomerID,
Amount,
CASE
WHEN Amount < 100 THEN 'Small'
WHEN Amount BETWEEN 100 AND 500 THEN 'Medium'
ELSE 'Large'
END AS OrderSize
FROM Orders;
Output:
OrderID | CustomerID | Amount | OrderSize |
---|---|---|---|
101 | 1 | 50 | Small |
102 | 2 | 300 | Medium |
103 | 1 | 700 | Large |
104 | 3 | 150 | Medium |
Example 3: Nested CASE
Expression
Suppose you have a table Sales
with columns SaleID
, ProductID
, Quantity
, and SaleDate
. You want to determine the sales performance for each product based on the quantity sold.
SELECT
SaleID,
ProductID,
Quantity,
CASE
WHEN Quantity < 10 THEN 'Low'
WHEN Quantity BETWEEN 10 AND 50 THEN
CASE
WHEN Quantity < 30 THEN 'Medium'
ELSE 'High-Medium'
END
ELSE 'High'
END AS Performance
FROM Sales;
Output:
SaleID | ProductID | Quantity | Performance |
---|---|---|---|
1 | 101 | 5 | Low |
2 | 102 | 25 | Medium |
3 | 103 | 40 | High-Medium |
4 | 104 | 60 | High |
Example 4: CASE
Expression with GROUP BY
Suppose you have a table Products
with columns ProductID
, ProductName
, and Price
. You want to categorize the products into different price ranges and get the count of products in each category.
SELECT
CASE
WHEN Price < 50 THEN 'Cheap'
WHEN Price BETWEEN 50 AND 150 THEN 'Affordable'
ELSE 'Expensive'
END AS PriceRange,
COUNT(*) AS ProductCount
FROM Products
GROUP BY
CASE
WHEN Price < 50 THEN 'Cheap'
WHEN Price BETWEEN 50 AND 150 THEN 'Affordable'
ELSE 'Expensive'
END;
Output:
PriceRange | ProductCount |
---|---|
Cheap | 10 |
Affordable | 20 |
Expensive | 5 |
These examples demonstrate the versatility and power of the CASE
expression in SQL for implementing conditional logic directly in your queries.
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