Postgres abs() function
Summary: The Postgres
abs()function returns the non-negative magnitude of any numeric input (integer, float, or decimal) by removing the sign without altering the value. Use it when you need to compare magnitudes, calculate distances, measure forecast discrepancies, or sort rows by size regardless of positive or negative sign. The@operator is a Postgres alias forabs(), and a functional index onabs(column)can speed up queries that filter large datasets by absolute value.
Postgres abs() function
Section titled “Postgres abs() function”Calculate the absolute value of a number
The Postgres abs() function is used to compute the absolute value of a number. The absolute value is the non-negative value of a number without regard to its sign.
It's useful in multiple scenarios when working with numbers, such as calculating distances, comparing magnitudes regardless of direction, or ensuring non-negative values in financial calculations.
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Function signature
Section titled “Function signature”The abs() function has a simple form:
abs(number) -> numbernumber: The input value for which you want to calculate the absolute value. It can be of any numeric data type - integer, floating-point, or decimal.
Example usage
Section titled “Example usage”Consider a table transactions with an amount column that contains both positive (deposits) and negative (withdrawals) values. We can use abs() to order the transactions by their magnitude.
WITH transactions(id, amount) AS (
VALUES
(1, 100.50),
(2, -75.25),
(3, 200.00),
(4, -150.75)
)
SELECT id, amount
FROM transactions
ORDER BY abs(amount) DESC;This query retrieves the transaction IDs and amounts, ordering them by the absolute value of the amount, in descending order.
id | amount
----+---------
3 | 200.00
4 | -150.75
1 | 100.50
2 | -75.25
(4 rows)Other examples
Section titled “Other examples”Using abs() for distance calculations
Section titled “Using abs() for distance calculations”The abs() function is also frequently used for distance calculations, where the direction is not relevant. Suppose we have a table of geographical coordinates and we want to find points within a certain range of a reference point.
WITH locations(name, latitude, longitude) AS (
VALUES
('Point A', 40.7128, -74.0060),
('Point B', 40.7484, -73.9857),
('Point C', 41.6892, -74.0445),
('Reference', 40.7300, -73.9950)
)
SELECT
name,
abs(latitude - 40.7300) AS lat_diff,
abs(longitude - (-73.9950)) AS long_diff
FROM locations
WHERE
abs(latitude - 40.7300) <= 0.05 AND
abs(longitude - (-73.9950)) <= 0.05;This query finds all points within 0.05 degrees (approximately 5.5 km) of the reference point (40.7300, -73.9950) in both latitude and longitude.
name | lat_diff | long_diff
-----------+----------+-----------
Point A | 0.0172 | 0.0110
Point B | 0.0184 | 0.0093
Reference | 0.0000 | 0.0000
(4 rows)Combining abs() with other functions
Section titled “Combining abs() with other functions”We can combine abs() with other functions for more complex calculations. For example, to measure the percentage discrepancy between forecasted and actual sales, we can use abs() to calculate the size of the difference and then divide it by the forecasted value.
WITH sales_data(product, forecast, actual) AS (
VALUES
('Product A', 1000, 1100),
('Product B', 500, 450),
('Product C', 750, 725),
('Product D', 300, 400)
)
SELECT
product,
forecast,
actual,
round(abs(actual - forecast) / forecast::numeric * 100, 2) AS percentage_difference
FROM sales_data
ORDER BY percentage_difference DESC;This query orders the products by the percentage difference between the forecasted and actual sales.
product | forecast | actual | percentage_difference
-----------+----------+--------+-----------------------
Product D | 300 | 400 | 33.33
Product A | 1000 | 1100 | 10.00
Product B | 500 | 450 | 10.00
Product C | 750 | 725 | 3.33
(4 rows)Additional considerations
Section titled “Additional considerations”Performance implications
Section titled “Performance implications”The abs() function is pretty quick, as it's a simple mathematical operation. However, if you frequently filter or join a large dataset based on absolute values, consider creating a functional index using abs() to speed up queries.
Alternative functions and operators
Section titled “Alternative functions and operators”- The
@operator: Postgres provides the@operator as an alternative to theabs()function. It performs the same operation (calculating the absolute value) and can be used interchangeably withabs(). For example,@ -5is equivalent toabs(-5).
Resources
Section titled “Resources”- PostgreSQL documentation: Mathematical Functions and Operators
- PostgreSQL documentation: Numeric Types
Related docs (Functions)
Section titled “Related docs (Functions)”- Aggregate functions
- Array functions
- Date / Time functions
- JSON functions
- Window functions
- String functions
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