PostgreSQL 8.4.0 Documentation
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# 9.22. Set Returning Functions

This section describes functions that possibly return more than one row. Currently the only functions in this class are series generating functions, as detailed in Table 9-45 and Table 9-46.

Table 9-45. Series Generating Functions

Function | Argument Type | Return Type | Description
--- | --- | --- | ---
``generate_series`(`start`, `stop`)` | `int` or `bigint` | `setof int` or `setof bigint` (same as argument type) | Generate a series of values, from `start` to `stop` with a step size of one
``generate_series`(`start`, `stop`, `step`)` | `int` or `bigint` | `setof int` or `setof bigint` (same as argument type) | Generate a series of values, from `start` to `stop` with a step size of `step`
``generate_series`(`start`, `stop`, `step` `interval`)` | `timestamp` or `timestamp with time zone` | `setof timestamp` or `setof timestamp with time zone` (same as argument type) | Generate a series of values, from `start` to `stop` with a step size of `step`

When `step` is positive, zero rows are returned if `start` is greater than `stop`. Conversely, when `step` is negative, zero rows are returned if `start` is less than `stop`. Zero rows are also returned for `NULL` inputs. It is an error for `step` to be zero. Some examples follow:

    SELECT * FROM generate_series(2,4);
     generate_series
    -----------------
                   2
                   3
                   4
    (3 rows)

    SELECT * FROM generate_series(5,1,-2);
     generate_series
    -----------------
                   5
                   3
                   1
    (3 rows)

    SELECT * FROM generate_series(4,3);
     generate_series
    -----------------
    (0 rows)

    -- this example relies on the date-plus-integer operator
    SELECT current_date + s.a AS dates FROM generate_series(0,14,7) AS s(a);
       dates
    ------------
     2004-02-05
     2004-02-12
     2004-02-19
    (3 rows)

    SELECT * FROM generate_series('2008-03-01 00:00'::timestamp,
                                  '2008-03-04 12:00', '10 hours');
       generate_series
    ---------------------
     2008-03-01 00:00:00
     2008-03-01 10:00:00
     2008-03-01 20:00:00
     2008-03-02 06:00:00
     2008-03-02 16:00:00
     2008-03-03 02:00:00
     2008-03-03 12:00:00
     2008-03-03 22:00:00
     2008-03-04 08:00:00
    (9 rows)

Table 9-46. Subscript Generating Functions

Function | Return Type | Description
--- | --- | ---
``generate_subscripts`(`array anyarray`, `dim int`)` | `setof int` | Generate a series comprising the given array's subscripts.
``generate_subscripts`(`array anyarray`, `dim int`, `reverse boolean`)` | `setof int` | Generate a series comprising the given array's subscripts. When `reverse` is true, the series is returned in reverse order.

`generate_subscripts` is a convenience function that generates the set of valid subscripts for the specified dimension of the given array. Zero rows are returned for arrays that do not have the requested dimension, or for NULL arrays (but valid subscripts are returned for NULL array elements). Some examples follow:

    -- basic usage
    select generate_subscripts('{NULL,1,NULL,2}'::int[], 1) as s;
     s
    ---
     1
     2
     3
     4
    (4 rows)

    -- presenting an array, the subscript and the subscripted
    -- value requires a subquery
    select * from arrays;
             a
    --------------------
     {-1,-2}
     {100,200}
    (2 rows)

    select a as array, s as subscript, a[s] as value
    from (select generate_subscripts(a, 1) as s, a from arrays) foo;
       array   | subscript | value
    -----------+-----------+-------
     {-1,-2}   |         1 |    -1
     {-1,-2}   |         2 |    -2
     {100,200} |         1 |   100
     {100,200} |         2 |   200
    (4 rows)

    -- unnest a 2D array
    create or replace function unnest2(anyarray)
    returns setof anyelement as $$
    select $1[i][j]
       from generate_subscripts($1,1) g1(i),
            generate_subscripts($1,2) g2(j);
    $$ language sql immutable;
    CREATE FUNCTION
    postgres=# select * from unnest2(array[[1,2],[3,4]]);
     unnest2
    ---------
           1
           2
           3
           4
    (4 rows)

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