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Home/ Questions/Q 7807371
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Editorial Team
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Editorial Team
Asked: June 2, 20262026-06-02T02:50:15+00:00 2026-06-02T02:50:15+00:00

I’m trying to implement a custom aggregate function in Postgres which will average directions

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I’m trying to implement a custom aggregate function in Postgres which will average directions in degrees – i.e. I want to able to do:

SELECT circavg(direction) FROM sometable;

This can be done using the formula:

xbar = atan2(sum(sin(xi), sum(cos(xi)))

I think I need to define an sfunc which will take a direction, and add the sine and cosine of that into two accumulators. The final function then converts the two components back into a direction using atan2.

I can’t work out how to define the sfunc so that the current state consists of two components e.g. (float, float). The documentation is a bit short on concrete examples, so any help is appreciated.

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  1. Editorial Team
    Editorial Team
    2026-06-02T02:50:17+00:00Added an answer on June 2, 2026 at 2:50 am

    You can make use of an ARRAY type internally. Argument type can still be any numeric type. Demonstrating with float (= double precision):

    CREATE OR REPLACE FUNCTION f_circavg (float[], float)
      RETURNS float[] LANGUAGE sql STRICT AS
    'SELECT ARRAY[$1[1] + sin($2), $1[2] + cos($2), 1]';
    
    CREATE OR REPLACE FUNCTION f_circavg_final (float[])
      RETURNS float  LANGUAGE sql AS
    'SELECT CASE WHEN $1[3] > 0 THEN atan2($1[1], $1[2]) END';
    
    CREATE AGGREGATE circavg (float) (
       sfunc     = f_circavg
     , stype     = float[]
     , finalfunc = f_circavg_final
     , initcond  = '{0,0,0}'
    );

    The transition function f_circavg() is defined STRICT, so it ignores rows with NULL input. It also sets a third array element to identify sets with one or more input rows – else the CASE the final function returns NULL.

    Temporary table for testing:

    CREATE TEMP TABLE t (x float);
    INSERT INTO t VALUES (2), (NULL), (3), (4), (5);
    

    I threw in a NULL value to also test the STRICT magic. Call:

    SELECT circavg(x) FROM t;
    
           circavg
    -------------------
     -2.78318530717959
    

    Cross check:

    SELECT atan2(sum(sin(x)), sum(cos(x))) FROM t;
    
           atan2
    -------------------
     -2.78318530717959
    

    Returns the same. Seems to work. In test with a bigger table the last expression with regular aggregate functions was 4x faster than the custom aggregate.

    Test for zero input rows / only NULL input:

    SELECT circavg(x) FROM t WHERE false;     -- no input rows
    SELECT circavg(x) FROM t WHERE x IS NULL; -- only NULL input
    

    Returns NULL in both cases.

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