The MIN() function in SQL is used to retrieve the smallest value from a specific column within a table. It's a crucial aggregate function for identifying the minimum data point in a dataset.
The MIN() function is a powerful aggregate function in SQL that allows you to find the smallest value within a particular column of a table. It's essential for tasks like determining the lowest price of a product, the earliest date of an event, or the smallest quantity of inventory. This function ignores NULL values, treating them as absent for the purpose of finding the minimum. If all values in the column are NULL, the result of MIN() will also be NULL. It's important to specify the column you want to find the minimum from within the function's parentheses. For example, to find the lowest price of a product, you would use MIN(price). This function is often used in conjunction with other aggregate functions like MAX() to provide a complete statistical overview of the data.
The MIN() function is vital for data analysis and reporting. It allows you to quickly identify the smallest value in a column, which is crucial for understanding the range and distribution of data. This is essential for tasks like finding the cheapest product, the earliest order date, or the smallest inventory level.
The MIN() aggregate skips over NULL values entirelya0e they are considered "absent" when calculating the smallest value. If the target column contains at least one non-NULL entry, MIN() returns the smallest of those real values. However, when all rows are NULL, the function has no valid data to compare and therefore returns NULL.
Place the column name inside the parentheses: SELECT MIN(price) AS lowest_price FROM products;
.a0This statement instructs the database engine to scan the price
column, ignore any NULLs, and return the smallest non-NULL value as lowest_price
.
Galaxy.0 provides context-aware autocompletion, so you can type MIN(
and instantly see column suggestions from your schema. Its AI copilot can also generate entire aggregate queriesa0— combining MIN(), MAX(), AVG(), and morea0— or refactor them when your data model changes. That means less manual typing, fewer syntax errors, and faster insights directly inside a modern desktop SQL editor.