SQL Aggregates

SQL SUM

Summing Values with SUM

SUM calculates the total of numeric values, ignoring NULLs.

Introduction to SQL SUM

The SQL SUM function is an aggregate function that returns the total sum of a numeric column. It's commonly used in data analysis to calculate the total of a group of numbers, such as sales amounts or quantities. The SUM function ignores NULL values, which means it only considers rows with actual numeric data.

Basic Syntax of SQL SUM

To use the SUM function, you need to specify the column you wish to sum. The basic syntax is as follows:

Using SUM with WHERE Clause

The SUM function can be combined with the WHERE clause to filter records before calculating the total. This is useful for summing only specific rows that meet certain criteria.

Grouping Results with SUM

Often, you'll want to calculate the sum for different groups of data. You can achieve this by using the GROUP BY clause, which groups rows that have the same values in specified columns into summary rows, like totals.

Handling NULL Values in SUM

As mentioned earlier, the SUM function ignores NULL values. This is advantageous when you have incomplete data, as it prevents inaccurate summations due to missing values. If all values are NULL, the SUM function returns NULL.

Practical Example of SQL SUM

Consider a sales table containing columns for product_id, quantity_sold, and sale_price. You can calculate the total revenue generated by using the SUM function on a calculated column.

Conclusion

The SUM function is a powerful tool for data aggregation, allowing you to quickly compute the total of numeric values in a dataset. By combining it with other SQL clauses like WHERE and GROUP BY, you can perform detailed analyses and extract meaningful insights from your data.

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