SQL MIN() Function

The MIN() function in SQL returns the smallest value from a specified column or expression. It is widely used in data analysis to identify minimum numeric, date, or string values while automatically ignoring NULL values.

• Finds the lowest value for reporting and decisions.
• Works with WHERE, GROUP BY, HAVING, and subqueries.

Example: First, we create a demo SQL database and table, on which we use the MIN() functions.

Query:

SELECT MIN(Price) AS LowestPrice
FROM Products;

• Finds the lowest price in the Products table.
• Shows the result as LowestPrice.

Syntax:

SELECT MIN(column_name)
FROM table_name;

Examples of SQL MIN() Function

In this section, we will demonstrate the MIN() function using two sample tables Employee and Sales; consider these tables for the examples below:

Example 1: Find the Lowest Invoice Amount in a Month

To determine the smallest invoice price processed in a specific month. This query is particularly useful when analyzing monthly trends or identifying the least expensive transaction in a given period.

Query:

SELECT MIN(price) AS [Lowest Invoice]
FROM Sales
WHERE InvoiceMonth = 'July';

Output:

• MIN(price) returns the lowest invoice amount for July.
• Filters records using WHERE, so only July data is evaluated.

Example 2: Find the Lowest Invoice in Specific Months

The IN clause allows for filtering data across multiple specified values, making it convenient to analyze trends or minimum values across a range of categories or time periods.

Query:

SELECT MIN(price) AS [Lowest Invoice]
FROM Sales
WHERE InvoiceMonth IN ('June', 'July');

Output:

• IN allows checking multiple months at once.
• Returns $99, the smallest price among matching records.

Using SQL MIN() Function with GROUP BY

The GROUP BY clause groups rows by columns, and with MIN() it returns the smallest value in each group, useful for finding the lowest amounts across categories, periods, or regions.

Example 1: Minimum Invoice per Month

The GROUP BY clause is useful when we need to aggregate data into meaningful groups, such as months, categories, or regions, and perform calculations like finding the minimum value within each group.

Query:

SELECT InvoiceMonth, MIN(price) AS [Lowest Invoice]
FROM Sales
GROUP BY InvoiceMonth;

Output:

• GROUP BY divides data by month.
• MIN(price) gives the smallest value per group.

Example 2: Filtered Grouping

This query demonstrates how filtering and grouping work together: WHERE narrows the data, and GROUP BY analyzes the filtered groups.

Query:

SELECT InvoiceMonth, MIN(price) AS [Lowest Invoice]
FROM Sales
WHERE InvoiceMonth IN ('June', 'July')
GROUP BY InvoiceMonth;

Output:

• WHERE filters data to specific months.
• GROUP BY returns separate minimum values for each month.

Using SQL MIN() with ORDER BY

The ORDER BY clause is used to sort query results in ascending or descending order. When paired with the MIN() function, it helps prioritize groups based on their smallest values, making the output more organized and easier to interpret.

Example: Sort by Minimum Invoice Amount

To sort groups by their minimum invoice price in ascending order, the query uses the combination of GROUP BY and ORDER BY clauses:

Query:

SELECT InvoiceMonth, MIN(price) AS [Lowest Invoice]
FROM Sales
GROUP BY InvoiceMonth
ORDER BY MIN(price);

Output:

• ORDER BY sorts results by the minimum price.
• Helps rank months from lowest to highest invoice.

Using SQL MIN() with HAVING Clause

The HAVING clause is used to filter grouped data based on aggregate conditions. Unlike WHERE, which filters rows before grouping, HAVING applies conditions after the groups are formed. This method is effective for pinpointing groups that meet specific aggregate conditions.

Example 1: Minimum Invoice Greater Than $150

This query filters groups where the smallest invoice price exceeds $150.

Query:

SELECT InvoiceMonth, MIN(price) AS [Lowest Invoice]
FROM Sales
GROUP BY InvoiceMonth
HAVING MIN(price) > 150;

Output:

• HAVING filters groups after aggregation.
• Shows months where min price > 150 (July only).

Example 2: Minimum Invoice Less Than $150

This query filters groups where the smallest invoice price is below $150.

Query:

SELECT InvoiceMonth, MIN(price) AS [Lowest Invoice]
FROM Sales
GROUP BY InvoiceMonth
HAVING MIN(price) < 150;

Output:

• HAVING checks aggregate values.
• Includes only June because its min price is 99.

Combining MIN() with Other Aggregate Functions

The MIN() function can be combined with other aggregate functions such as MAX(), AVG(), and SUM() to generate a more comprehensive view of your data. This approach helps in summarizing key metrics in a single query.

Example: Aggregate Analysis

This query calculates the lowest, highest, average, and total invoice amounts for each month.

Query:

SELECT InvoiceMonth,
 MIN(price) AS [Lowest Invoice],
 MAX(price) AS [Highest Invoice],
 AVG(price) AS [Average Invoice],
 SUM(price) AS [Total Invoice]
FROM Sales
GROUP BY InvoiceMonth;

Output:

• Multiple aggregates summarize key metrics per month.
• MIN, MAX, AVG, SUM give a complete monthly analysis.

Using SQL MIN() IN Subqueries

Subqueries can be used with the MIN() function to fetch detailed information about the record that has the smallest value in a column. This technique is useful for isolating specific rows based on aggregate results.

Example: Fetch Record with Minimum Price

This query retrieves the complete record associated with the lowest invoice price.

Query:

SELECT *
FROM Sales
WHERE price = (SELECT MIN(price) FROM Sales);

Output:

• Subquery finds the lowest price in the table.
• Main query returns the complete record matching that price.

Using SQL MIN() Within the WHERE Clause

The MIN() function can be directly used within the WHERE clause to filter rows based on the smallest value in a column. This approach allows precise targeting of records that match specific criteria.

Example: Details of Invoice with Minimum Price

This query retrieves detailed information about the invoice associated with the lowest price.

Query:

SELECT e.Name, e.City, e.Designation, s.InvoiceMonth, s.Price, s.Product
FROM Sales AS s
JOIN Employee AS e
ON e.ID = s.PersonID
WHERE s.Price = (SELECT MIN(price) FROM Sales);

Output:

• JOIN links Sales and Employee to show detailed info.
• Subquery ensures only the minimum-price invoice is selected.