Postgres array_length() function
Summary: The Postgres
array_length(anyarray, int)function returns the number of elements along a specified dimension of an array, returning NULL when the dimension does not exist or the input is NULL. Use it to filter rows by array size in WHERE clauses, enforce array size with CHECK constraints, or inspect multi-dimensional arrays by querying each dimension separately. Differs fromcardinality(), which counts all elements across all dimensions, and fromarray_dims(), which returns dimension bounds as text.
Postgres array_length() function
Section titled “Postgres array_length() function”Determine the length of an array
The Postgres array_length() function is used to determine the length of an array along a specified dimension.
Use it when working with multi-dimensional arrays or when you need to perform operations based on the size of an array. Examples include data analysis where you might need to filter rows based on the number of elements in an array column. Another use case might be application development where you need to validate the size of array inputs since Postgres doesn't natively have a fixed-size array data type.
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Function signature
Section titled “Function signature”The array_length() function has the following signature:
array_length(anyarray, int) -> intanyarray: The input array to measure.int: The array dimension to measure (1-based index).
Example usage
Section titled “Example usage”Consider a products table with a categories column that contains arrays of product categories. We can use array_length() to find out how many categories each product belongs to.
WITH products(product_name, categories) AS (
VALUES
('Laptop', ARRAY['Electronics', 'Computers']),
('Coffee Maker', ARRAY['Appliances', 'Kitchen', 'Electronics']),
('Book', ARRAY['Books'])
)
SELECT
product_name,
categories,
array_length(categories, 1) AS category_count
FROM products;This query returns the product name, the array of categories it is listed in, and the count of categories for each product.
product_name | categories | category_count
--------------+----------------------------------+----------------
Laptop | {Electronics,Computers} | 2
Coffee Maker | {Appliances,Kitchen,Electronics} | 3
Book | {Books} | 1
(3 rows)Advanced examples
Section titled “Advanced examples”Filter rows based on array length
Section titled “Filter rows based on array length”You can use array_length() in a WHERE clause to filter rows based on the size of an array.
WITH orders(order_id, items) AS (
VALUES
(1, ARRAY['Shirt', 'Pants', 'Shoes']),
(2, ARRAY['Book']),
(3, ARRAY['Laptop', 'Mouse', 'Keyboard', 'Monitor'])
)
SELECT *
FROM orders
WHERE array_length(items, 1) > 2;This query selects all orders that contain more than two items.
order_id | items
----------+---------------------------------
1 | {Shirt,Pants,Shoes}
3 | {Laptop,Mouse,Keyboard,Monitor}
(2 rows)Use with multi-dimensional arrays
Section titled “Use with multi-dimensional arrays”array_length() can be used with multi-dimensional arrays by specifying the dimension to measure.
WITH matrix AS (
SELECT ARRAY[[1, 2, 3], [4, 5, 6]] AS data
)
SELECT
array_length(data, 1) AS rows,
array_length(data, 2) AS columns,
array_length(data, 3) AS depth
FROM matrix;This query returns the number of rows and columns in a 2D array. There is no third dimension in this case, so array_length(data, 3) returns NULL.
rows | columns | depth
------+---------+-------
2 | 3 |
(1 row)Use in a CHECK constraint
Section titled “Use in a CHECK constraint”You can use array_length() in a CHECK constraint to enforce a condition based on the size of an array column. For example, consider a table that stores the starting lineup of basketball teams as an array.
CREATE TABLE basketball_team (
team_name TEXT PRIMARY KEY,
starting_lineup TEXT[],
CONSTRAINT check_starting_lineup CHECK (array_length(starting_lineup, 1) = 5)
);This constraint ensures that the starting_lineup array column always contains exactly five elements.
INSERT INTO basketball_team (team_name, starting_lineup)
VALUES ('Lakers', ARRAY['LeBron James', 'Anthony Davis', 'Russell Westbrook', 'Carmelo Anthony', 'Dwight Howard']);
-- Success
INSERT INTO basketball_team (team_name, starting_lineup)
VALUES ('Warriors', ARRAY['Stephen Curry', 'Klay Thompson', 'Draymond Green']);
-- ERROR: new row for relation "basketball_team" violates check constraint "check_starting_lineup"
-- DETAIL: Failing row contains (Warriors, {"Stephen Curry","Klay Thompson","Draymond Green"}).Additional considerations
Section titled “Additional considerations”Null handling
Section titled “Null handling”array_length() returns NULL if the input array is NULL or if the specified dimension does not exist. Always handle potential NULL values in your queries to avoid unexpected results.
Indexing
Section titled “Indexing”Note that Postgres array dimensions are indexed starting from 1, not 0. If you specify a dimension less than 1, array_length() returns NULL.
SELECT array_length(ARRAY[1, 2, 3], 0);Performance implications
Section titled “Performance implications”array_length() is generally efficient, but be cautious when using it in WHERE clauses on large tables. Consider creating a function index on the array length if you frequently filter based on this condition.
Alternative functions
Section titled “Alternative functions”cardinality()- Returns the total number of elements in an array, or NULL if the array is NULL. It's equivalent toarray_length(anyarray, 1)for one-dimensional arrays.array_dims()- Returns a text representation of the array's dimensions.array_upper()andarray_lower()- Return the upper and lower bounds of the specified array dimension.
Resources
Section titled “Resources”Related docs (Functions)
Section titled “Related docs (Functions)”- Aggregate functions
- Date / Time functions
- JSON functions
- Window functions
- String functions
- Math functions
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