SQL Else If

How do you implement conditional logic in SQL?

SQL doesn't have a direct `else if` statement like some programming languages. Instead, you use nested `CASE` statements or multiple `CASE` expressions to achieve the same result. This allows you to define multiple conditions and corresponding actions.

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Description

SQL, unlike some programming languages, doesn't have a direct `else if` construct. To implement conditional logic, you typically use the `CASE` statement. The `CASE` statement allows you to evaluate multiple conditions and return different results based on which condition is met. This is particularly useful for complex data transformations and filtering. A single `CASE` expression can handle multiple conditions, but for more complex scenarios, nested `CASE` statements are necessary. This approach is equivalent to the `else if` construct in other languages, enabling you to create sophisticated decision-making logic within your SQL queries. It's crucial to understand that the `CASE` statement evaluates conditions sequentially, returning the result of the first matching condition. If no condition matches, a default result (specified by the `ELSE` clause) can be returned.

Why SQL Else If is important

The ability to implement conditional logic is essential for data manipulation. `CASE` statements allow you to tailor your queries to specific needs, filtering data based on various criteria and transforming it into meaningful insights. This is crucial for reporting, analysis, and data-driven decision-making.

SQL Else If Example Usage


-- Sample table (Customers)
CREATE TABLE Customers (
    CustomerID INT PRIMARY KEY,
    FirstName VARCHAR(50),
    LastName VARCHAR(50),
    City VARCHAR(50)
);

INSERT INTO Customers (CustomerID, FirstName, LastName, City) VALUES
(1, 'John', 'Doe', 'New York'),
(2, 'Jane', 'Doe', 'Los Angeles'),
(3, 'John', 'Doe', 'Chicago'),
(4, 'Peter', 'Pan', 'London'),
(5, 'Jane', 'Doe', 'Los Angeles');

-- Identify and delete duplicate rows based on FirstName and LastName
DELETE FROM Customers
WHERE CustomerID NOT IN (
    SELECT MIN(CustomerID)
    FROM Customers
    GROUP BY FirstName, LastName
    HAVING COUNT(*) > 1
);

SELECT * FROM Customers;

Common Mistakes

Forgetting the `END` keyword to close the `CASE` statement.
Incorrectly ordering conditions within the `CASE` statement. The first matching condition determines the result.
Not providing a default `ELSE` clause, which can lead to unexpected results if no condition is met.

SQL Else If

How do you implement conditional logic in SQL?

Description

Why SQL Else If is important

SQL Else If Example Usage

Common Mistakes

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