SQL Mod

Galaxy Glossary

What does the MOD operator do in SQL?

The MOD operator in SQL returns the remainder of a division operation. It's useful for tasks like checking for even/odd numbers, calculating cycles, and more.
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Description

The MOD operator, also known as the modulo operator, is a fundamental arithmetic operator in SQL. It calculates the remainder after dividing one number (the dividend) by another (the divisor). For instance, 10 MOD 3 would return 1, because 10 divided by 3 leaves a remainder of 1. This seemingly simple operation has surprisingly diverse applications in database queries and data analysis.One common use case is determining if a number is even or odd. If a number MOD 2 equals 0, it's even; otherwise, it's odd. This is a straightforward way to filter data based on parity.Another application is in calculating cycles or patterns. Imagine you have a table of products with a production cycle. Using MOD, you can determine which products are due for a specific stage of production based on their production sequence number and the cycle length. This is particularly useful in inventory management or production scheduling.The MOD operator is also helpful in tasks like data validation. For example, you could check if an order number is within a specific range by using MOD to determine if it falls within a particular group or cycle.Crucially, the MOD operator works with various data types, including integers and decimals, although the results might differ slightly depending on the specific implementation and data type.

Why SQL Mod is important

The MOD operator is crucial for data manipulation and analysis in SQL. It allows for concise and efficient filtering, pattern recognition, and data validation, making it a valuable tool for any SQL developer.

Example Usage


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

INSERT INTO Customers (CustomerID, CustomerName) VALUES
(1, 'Alice Smith'),
(2, 'Bob Johnson'),
(3, 'Charlie Brown'),
(4, 'David Lee'),
(5, 'Eve Garcia'),
(6, 'Frank Davis');

-- Query to find customers whose names start with 'A', 'B', or 'C'
SELECT CustomerName
FROM Customers
WHERE CustomerName LIKE 'A%' OR CustomerName LIKE 'B%' OR CustomerName LIKE 'C%';

-- More efficient query using IN
SELECT CustomerName
FROM Customers
WHERE CustomerName LIKE 'A%'
   OR CustomerName LIKE 'B%'
   OR CustomerName LIKE 'C%';

-- Equivalent query using IN
SELECT CustomerName
FROM Customers
WHERE CustomerName LIKE ANY ('A%', 'B%', 'C%');

-- More concise query using IN
SELECT CustomerName
FROM Customers
WHERE CustomerName LIKE '%Smith' OR CustomerName LIKE '%Johnson' OR CustomerName LIKE '%Brown';

-- Equivalent query using IN
SELECT CustomerName
FROM Customers
WHERE CustomerName LIKE ANY ('%Smith', '%Johnson', '%Brown');

Common Mistakes

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