CREATE TABLE produk
(
seq_id serial NOT NULL,
name character varying(100) NOT NULL
) ;
INSERT INTO produk (seq_id, name) VALUES (1, 'beer');
INSERT INTO produk (seq_id, name) VALUES (2, 'in');
INSERT INTO produk (seq_id, name) VALUES (3, 'beer');
INSERT INTO produk (seq_id, name) VALUES (4, 'can');
INSERT INTO produk (seq_id, name) VALUES (6, 'goods');
INSERT INTO produk (seq_id, name) VALUES (7, 'goods');
INSERT INTO produk (seq_id, name) VALUES (8, 'can');
INSERT INTO produk (seq_id, name) VALUES (5, 'goods');
MySQL:
select name, group_concat(cast(seq_id as char)) as id_of_duplicates
from produk
group by name
order by name;
PostgreSQL:
create aggregate array_accum (
sfunc = array_append,
basetype = anyelement,
stype = anyarray,
initcond = '{}'
);
CREATE OR REPLACE FUNCTION _group_concat(text, text)
RETURNS text AS $$
SELECT CASE
WHEN $2 IS NULL THEN $1
WHEN $1 IS NULL THEN $2
ELSE $1 operator(pg_catalog.||) ',' operator(pg_catalog.||) $2
END
$$ IMMUTABLE LANGUAGE SQL;
CREATE AGGREGATE group_concat (
BASETYPE = text,
SFUNC = _group_concat,
STYPE = text
);
first approach:
select name, array_accum(seq_id)
from produk
group by name
select name, array_to_string(array_accum(seq_id), ',')
from produk
group by name;
second approach (mysql-compatible approach):
select name, group_concat(seq_id) as id_of_duplicates
from produk
group by name
order by name;
MySQL GROUP_CONCAT with ordering:
select name, group_concat(cast(seq_id as char) order by seq_id) as id_of_duplicates
from produk
group by name
order by name;
PostgreSQL equivalent:
select name, group_concat(distinct seq_id) as id_of_duplicates
from produk
group by name
order by name;
using customized sort:
select name, group_concat(seq_id) as id_of_duplicates
from
(
select name, seq_id
from produk
order by name, seq_id
) as x
group by name
http://s2.diffuse.it/blog/show/10-group_concat_on_postgresql