If all your columns share the same data type and order of rows does not have to be enforced:
SELECT t.id, v.*
FROM tbl t, LATERAL (
VALUES
('col1', col1)
, ('col2', col2)
, ('col3', col3)
-- etc.
) v(col, val);
About LATERAL (requires Postgres 9.3 or later):
Combining it with a VALUES expression:
For varying data types, the common denominator would be text, since every type can be cast to text. Plus, order enforced:
SELECT t.id, v.col, v.val
FROM tbl t, LATERAL (
VALUES
(1, 'col1', col1::text)
, (2, 'col2', col2::text)
, (3, 'col3', col3::text)
-- etc.
) v(rank, col, val)
ORDER BY t.id, v.rank;
In Postgres 9.4 or later use the new unnest() for multiple arrays:
SELECT t.id, v.*
FROM tbl t, unnest('{col1,col2,col3}'::text[]
, ARRAY[col1,col2,col3]) v(col, val);
-- , ARRAY[col1::text,col2::text,col3::text]) v(col, val);
The commented alternative for varying data types.
Full automation for Postgres 9.4:
The query above is convenient to automate for a dynamic set of columns:
CREATE OR REPLACE FUNCTION f_transpose (_tbl regclass, VARIADIC _cols text[])
RETURNS TABLE (id int, col text, val text) AS
$func$
BEGIN
RETURN QUERY EXECUTE format(
'SELECT t.id, v.* FROM %s t, unnest($1, ARRAY[%s]) v'
, _tbl, array_to_string(_cols, '::text,') || '::text'))
-- , _tbl, array_to_string(_cols, ','))) -- simple alternative for only text
USING _cols;
END
$func$ LANGUAGE plpgsql;
Call - with table name and any number of column names, any data types:
SELECT * FROM f_transpose('table_name', 'column1', 'column2', 'column3');
Weakness: the list of column names is not safe against SQL injection. You could gather column names from pg_attribute instead. Example: