Aggregate Functions

Aggregate functions compute a single result from a set of input rows. They are typically used with the GROUP BY clause in SELECT statements, but can also be used without GROUP BY to aggregate over all rows. When used in a SELECT with non-aggregate columns and no GROUP BY, the result is a single row. All standard aggregate functions ignore NULL values (except count(*)). If every input value is NULL, the aggregate returns NULL, with the exception of count() (which returns 0) and total() (which returns 0.0).

Function Reference

Function	Return Type	Description
`array_agg(X)`	BLOB (array)	Collects all values of X into an array (Turso extension)
`avg(X)`	REAL	Average of all non-NULL values of X
`count(X)`	INTEGER	Count of rows where X is not NULL
`count(*)`	INTEGER	Count of all rows in the group
`group_concat(X)`	TEXT	Concatenation of all non-NULL values of X, separated by commas
`group_concat(X, Y)`	TEXT	Concatenation of all non-NULL values of X, separated by Y
`string_agg(X, Y)`	TEXT	Alias for `group_concat(X, Y)`
`max(X)`	same as X	Maximum non-NULL value of X
`min(X)`	same as X	Minimum non-NULL value of X
`sum(X)`	INTEGER or REAL	Sum of all non-NULL values of X. Returns NULL if all values are NULL
`total(X)`	REAL	Sum of all non-NULL values of X. Always returns REAL, 0.0 if all values are NULL

Detailed Descriptions and Examples

The examples below use the following table:

CREATE TABLE sales (
    id INTEGER PRIMARY KEY,
    region TEXT,
    product TEXT,
    amount REAL,
    quantity INTEGER
);

INSERT INTO sales VALUES
    (1, 'North', 'Widget', 100.00, 5),
    (2, 'North', 'Gadget', 250.00, 2),
    (3, 'South', 'Widget', 150.00, 8),
    (4, 'South', 'Gadget', NULL, 3),
    (5, 'North', 'Widget', 200.00, NULL),
    (6, 'South', 'Widget', 175.00, 6);

avg(X)

avg(X)

Returns the average of all non-NULL values of X as a REAL (floating-point) number. Returns NULL if all values are NULL.

Parameter	Type	Description
X	any numeric	The expression to average

Return type: REAL

SELECT avg(amount) FROM sales;
-- 175.0 (sum of non-NULL amounts / count of non-NULL amounts = 875.0 / 5)

SELECT region, avg(amount) AS avg_amount
FROM sales
GROUP BY region;

region	avg_amount
North	183.333333333333
South	162.5

avg(X) ignores NULL values in both the sum and the count. In the example above, the South region has three non-NULL amounts (150 + 175 = 325, but also the NULL row is excluded), so the average is computed over the non-NULL values only.

count(X) and count(*)

count(X)
count(*)

count(X) returns the number of rows where X is not NULL. count(*) returns the total number of rows in the group, including rows with NULL values.

Parameter	Type	Description
X	any	The expression to count non-NULL values for
`*`	special	Counts all rows regardless of NULL

Return type: INTEGER

SELECT count(*) FROM sales;
-- 6 (all rows)

SELECT count(amount) FROM sales;
-- 5 (excludes the row where amount is NULL)

SELECT region, count(*) AS total_rows, count(amount) AS rows_with_amount
FROM sales
GROUP BY region;

region	total_rows	rows_with_amount
North	3	3
South	3	2

group_concat(X) and group_concat(X, Y)

group_concat(X)
group_concat(X, Y)

Concatenates all non-NULL values of X into a single string. The default separator is a comma (,). When Y is provided, it is used as the separator instead.

Parameter	Type	Description
X	any	The expression whose values to concatenate
Y	TEXT	Separator string (default: `","`)

Return type: TEXT

SELECT group_concat(product) FROM sales;
-- 'Widget,Gadget,Widget,Gadget,Widget,Widget'

SELECT group_concat(DISTINCT product) FROM sales;
-- 'Widget,Gadget'

SELECT region, group_concat(product, ' | ') AS products
FROM sales
GROUP BY region;

region	products
North	Widget \| Gadget \| Widget
South	Widget \| Gadget \| Widget

string_agg(X, Y)

string_agg(X, Y)

Alias for group_concat(X, Y). Provided for compatibility with PostgreSQL.

Parameter	Type	Description
X	any	The expression whose values to concatenate
Y	TEXT	Separator string

Return type: TEXT

SELECT region, string_agg(product, ', ') AS products
FROM sales
GROUP BY region;

region	products
North	Widget, Gadget, Widget
South	Widget, Gadget, Widget

max(X) and min(X)

max(X)
min(X)

max(X) returns the maximum non-NULL value of X. min(X) returns the minimum non-NULL value of X. Values are compared using the standard SQLite comparison rules. Returns NULL if all values are NULL.

Parameter	Type	Description
X	any	The expression to find the maximum or minimum value of

Return type: Same as the input type

SELECT max(amount), min(amount) FROM sales;
-- max: 250.0, min: 100.0

SELECT region, max(amount) AS highest, min(amount) AS lowest
FROM sales
GROUP BY region;

region	highest	lowest
North	250.0	100.0
South	175.0	150.0

When max(X) or min(X) is called with a single argument in an aggregate context, it acts as an aggregate function. When called with two or more arguments (e.g., max(a, b, c)), it acts as a scalar function and returns the largest argument.

sum(X) and total(X)

sum(X)
total(X)

Both functions return the sum of all non-NULL values of X. They differ in return type and behavior when all values are NULL.

Parameter	Type	Description
X	any numeric	The expression to sum

Return type:

sum(X): INTEGER if all non-NULL inputs are integers and no overflow occurs, otherwise REAL. Returns NULL if all values are NULL.
total(X): Always REAL. Returns 0.0 if all values are NULL.

SELECT sum(amount), total(amount) FROM sales;
-- sum: 875.0, total: 875.0

SELECT sum(quantity), total(quantity) FROM sales;
-- sum: 24, total: 24.0

Difference between sum() and total()

The key difference appears when all values in the group are NULL:

CREATE TABLE empty_amounts (val REAL);
INSERT INTO empty_amounts VALUES (NULL), (NULL);

SELECT sum(val) FROM empty_amounts;
-- NULL

SELECT total(val) FROM empty_amounts;
-- 0.0

This makes total() convenient when you need a numeric result even for empty or all-NULL groups:

SELECT
    region,
    sum(amount) AS sum_amount,
    total(amount) AS total_amount
FROM sales
GROUP BY region;

region	sum_amount	total_amount
North	550.0	550.0
South	325.0	325.0

-- total() is useful in arithmetic to avoid NULL propagation
SELECT total(amount) * 1.1 AS with_tax FROM sales;
-- 962.5

-- sum() with all NULLs would produce NULL, making the multiplication NULL too

sum(X) returns an integer result when all inputs are integers and the result fits within a 64-bit signed integer. If the sum overflows, it automatically switches to REAL. Use total(X) when you always want a floating-point result.

Using Aggregates with GROUP BY

The GROUP BY clause partitions rows into groups. Each aggregate function is computed independently for each group.

SELECT
    region,
    product,
    count(*) AS order_count,
    sum(amount) AS total_sales,
    avg(amount) AS avg_sale,
    min(amount) AS min_sale,
    max(amount) AS max_sale
FROM sales
GROUP BY region, product;

region	product	order_count	total_sales	avg_sale	min_sale	max_sale
North	Gadget	1	250.0	250.0	250.0	250.0
North	Widget	2	300.0	150.0	100.0	200.0
South	Gadget	1	NULL	NULL	NULL	NULL
South	Widget	2	325.0	162.5	150.0	175.0

Filtering Groups with HAVING

The HAVING clause filters groups after aggregation. Use WHERE to filter rows before aggregation and HAVING to filter groups after.

SELECT region, sum(amount) AS total_sales
FROM sales
WHERE amount IS NOT NULL
GROUP BY region
HAVING sum(amount) > 400;

region	total_sales
North	550.0

Aggregates with DISTINCT

The DISTINCT keyword causes the aggregate to consider only unique non-NULL values.

SELECT count(product) FROM sales;
-- 6 (all non-NULL product values)

SELECT count(DISTINCT product) FROM sales;
-- 2 (only 'Widget' and 'Gadget')

SELECT group_concat(DISTINCT product) FROM sales;
-- 'Widget,Gadget'

Aggregates as Window Functions

All standard aggregate functions can be used as window functions. When used with an OVER clause, the function computes a running or partitioned result without collapsing rows.

SELECT
    id,
    region,
    amount,
    sum(amount) OVER (PARTITION BY region ORDER BY id) AS running_total,
    count(*) OVER (PARTITION BY region) AS region_count
FROM sales
ORDER BY region, id;

id	region	amount	running_total	region_count
1	North	100.0	100.0	3
2	North	250.0	350.0	3
5	North	200.0	550.0	3
3	South	150.0	150.0	3
4	South	NULL	150.0	3
6	South	175.0	325.0	3

Turso Extension: array_agg(X)

array_agg(X) is a Turso extension and is not part of standard SQLite. It is available by default in Turso without loading any additional extensions.

array_agg(X)

Collects all values of X (including NULLs) into an array. Returns NULL if the group is empty.

Parameter	Type	Description
X	any	The expression whose values to collect into an array

Return type: BLOB (array)

SELECT array_agg(name) FROM users;
-- ["Alice","Bob","Charlie"]

SELECT department, array_agg(name) FROM employees GROUP BY department;

department	array_agg(name)
Engineering	[“Alice”,“Bob”]
Sales	[“Charlie”,“Diana”,“Eve”]

-- Control ordering with a subquery
SELECT array_agg(name) FROM (SELECT name FROM users ORDER BY name);

-- Combine with array_length
SELECT array_length(array_agg(name)) FROM users;
-- 3

For more array functions, see Array Functions.

Turso Extension: stddev(X)

stddev(X) is a Turso extension and is not part of standard SQLite. It is available by default in Turso without loading any additional extensions.

stddev(X)

Returns the population standard deviation of all non-NULL values of X. Returns NULL if there are no non-NULL values.

Parameter	Type	Description
X	any numeric	The expression to compute the standard deviation of

Return type: REAL

SELECT stddev(amount) FROM sales;

SELECT region, avg(amount) AS mean, stddev(amount) AS std_dev
FROM sales
GROUP BY region;

Extension Aggregate Functions

The following aggregate functions are available through the percentile extension. Load it before use.

These functions require the percentile extension. Load it with SELECT load_extension('./percentile'); or by configuring your connection to auto-load it.

median(X)

median(X)

Returns the median (middle value) of all non-NULL values of X.

Parameter	Type	Description
X	any numeric	The expression to find the median of

Return type: REAL

SELECT median(amount) FROM sales;
-- 175.0

SELECT region, median(amount) AS median_amount
FROM sales
GROUP BY region;

percentile(Y, P)

percentile(Y, P)

Returns the P-th percentile of all non-NULL values of Y. Uses linear interpolation between adjacent values.

Parameter	Type	Description
Y	any numeric	The values to compute the percentile over
P	REAL	The percentile to compute (0.0 to 100.0)

Return type: REAL

SELECT percentile(amount, 50) FROM sales;   -- 50th percentile (median)
SELECT percentile(amount, 90) FROM sales;   -- 90th percentile
SELECT percentile(amount, 25) FROM sales;   -- 25th percentile (Q1)

percentile_cont(Y, P) and percentile_disc(Y, P)

percentile_cont(Y, P)
percentile_disc(Y, P)

SQL-standard percentile functions. percentile_cont uses continuous (interpolated) distribution, while percentile_disc returns the nearest discrete input value.

Parameter	Type	Description
Y	any numeric	The values to compute the percentile over
P	REAL	The percentile fraction (0.0 to 1.0)

Return type: REAL

-- Continuous percentile (interpolates between values)
SELECT percentile_cont(amount, 0.5) FROM sales;

-- Discrete percentile (returns an actual input value)
SELECT percentile_disc(amount, 0.5) FROM sales;

Note the difference in P range: percentile(Y, P) takes P from 0 to 100, while percentile_cont and percentile_disc take P from 0.0 to 1.0.

Getting Started

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SQL Reference

Changelog

Aggregate Functions

Aggregate Functions

Function Reference

Detailed Descriptions and Examples

avg(X)

count(X) and count(*)

group_concat(X) and group_concat(X, Y)

string_agg(X, Y)

max(X) and min(X)

sum(X) and total(X)

Difference between sum() and total()

Using Aggregates with GROUP BY

Filtering Groups with HAVING

Aggregates with DISTINCT

Aggregates as Window Functions

Turso Extension: array_agg(X)

Turso Extension: stddev(X)

Extension Aggregate Functions

median(X)

percentile(Y, P)

percentile_cont(Y, P) and percentile_disc(Y, P)

See Also

​Aggregate Functions

​Function Reference

​Detailed Descriptions and Examples

​avg(X)

​count(X) and count(*)

​group_concat(X) and group_concat(X, Y)

​string_agg(X, Y)

​max(X) and min(X)

​sum(X) and total(X)

​Difference between sum() and total()

​Using Aggregates with GROUP BY

​Filtering Groups with HAVING

​Aggregates with DISTINCT

​Aggregates as Window Functions

​Turso Extension: array_agg(X)

​Turso Extension: stddev(X)

​Extension Aggregate Functions

​median(X)

​percentile(Y, P)

​percentile_cont(Y, P) and percentile_disc(Y, P)

​See Also

Aggregate Functions

Function Reference

Detailed Descriptions and Examples

avg(X)

count(X) and count(*)

group_concat(X) and group_concat(X, Y)

string_agg(X, Y)

max(X) and min(X)

sum(X) and total(X)

Difference between sum() and total()

Using Aggregates with GROUP BY

Filtering Groups with HAVING

Aggregates with DISTINCT

Aggregates as Window Functions

Turso Extension: array_agg(X)

Turso Extension: stddev(X)

Extension Aggregate Functions

median(X)

percentile(Y, P)

percentile_cont(Y, P) and percentile_disc(Y, P)

See Also