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