Categories:

Aggregate Functions (General) , Window Functions (General, Window Frame)

AVG

Returns the average of non-NULL records. If all records inside a group are NULL, the function returns NULL.

Syntax

Aggregate function

AVG( [ DISTINCT ] <expr1> )

Window function

AVG( [ DISTINCT ] <expr1> ) OVER (
                                 [ PARTITION BY <expr2> ]
                                 [ ORDER BY <expr3> [ ASC | DESC ] [ <window_frame> ] ]
                                 )

For details about window_frame syntax, see Window Frame Syntax and Usage.

Arguments

expr1

This is an expression that evaluates to a numeric data type (INTEGER, FLOAT, DECIMAL, etc.).

expr2

This is the optional expression to partition by.

expr3

This is the optional expression to order by within each partition.

Usage Notes

  • When passed a VARCHAR expression, this function implicitly casts the input to floating point values. If the cast cannot be performed, an error is returned.

  • When this function is called as a window function (i.e. with an OVER clause):

    • If the OVER clause contains an ORDER BY subclause, then:

      • A window frame is required. If no window frame is specified explicitly, then the ORDER BY implies a cumulative window frame:

        RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW

        For information about window frames, including syntax and examples, see Window Frame Syntax and Usage.

        For information about implied window frames, see also Window Frame Usage Notes.

      • Using the keyword DISTINCT inside the window function is prohibited and results in a compile-time error.

Examples

Setup:

CREATE OR REPLACE TABLE avg_example(int_col int, d decimal(10,5), s1 varchar(10), s2 varchar(10));
INSERT INTO avg_example VALUES
    (1, 1.1, '1.1','one'), 
    (1, 10, '10','ten'),
    (2, 2.4, '2.4','two'), 
    (2, NULL, NULL, 'NULL'),
    (3, NULL, NULL, 'NULL'),
    (NULL, 9.9, '9.9','nine');

Show the data:

SELECT * 
    FROM avg_example 
    ORDER BY int_col, d;
+---------+----------+------+------+
| INT_COL |        D | S1   | S2   |
|---------+----------+------+------|
|       1 |  1.10000 | 1.1  | one  |
|       1 | 10.00000 | 10   | ten  |
|       2 |  2.40000 | 2.4  | two  |
|       2 |     NULL | NULL | NULL |
|       3 |     NULL | NULL | NULL |
|    NULL |  9.90000 | 9.9  | nine |
+---------+----------+------+------+

Calculate the average of the columns that are numeric or that can be converted to numbers:

SELECT AVG(int_col), AVG(d)
    FROM avg_example;
+--------------+---------------+
| AVG(INT_COL) |        AVG(D) |
|--------------+---------------|
|     1.800000 | 5.85000000000 |
+--------------+---------------+

Combine AVG with GROUP BY to calculate the averages of different groups:

SELECT int_col, AVG(d), AVG(s1) 
    FROM avg_example 
    GROUP BY int_col
    ORDER BY int_col;
+---------+---------------+---------+
| INT_COL |        AVG(D) | AVG(S1) |
|---------+---------------+---------|
|       1 | 5.55000000000 |    5.55 |
|       2 | 2.40000000000 |    2.4  |
|       3 |          NULL |    NULL |
|    NULL | 9.90000000000 |    9.9  |
+---------+---------------+---------+

Use as a simple window function:

SELECT 
       int_col,
       AVG(int_col) OVER(PARTITION BY int_col) 
    FROM avg_example
    ORDER BY int_col;
+---------+-----------------------------------------+
| INT_COL | AVG(INT_COL) OVER(PARTITION BY INT_COL) |
|---------+-----------------------------------------|
|       1 |                                   1.000 |
|       1 |                                   1.000 |
|       2 |                                   2.000 |
|       2 |                                   2.000 |
|       3 |                                   3.000 |
|    NULL |                                    NULL |
+---------+-----------------------------------------+
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