사용자 정의 열을 기준으로 각 그룹에 대해 첫 번째 N 행을 가져와야합니다.
다음 표가 주어진다 :
db=# SELECT * FROM xxx;
id | section_id | name
----+------------+------
1 | 1 | A
2 | 1 | B
3 | 1 | C
4 | 1 | D
5 | 2 | E
6 | 2 | F
7 | 3 | G
8 | 2 | H
(8 rows)
각 section_id 에 대해 처음 2 개의 행 ( name으로 정렬 됨 )이 필요합니다 . 예 :
id | section_id | name
----+------------+------
1 | 1 | A
2 | 1 | B
5 | 2 | E
6 | 2 | F
7 | 3 | G
(5 rows)
PostgreSQL 8.3.5를 사용하고 있습니다.
답변
새로운 솔루션 (PostgreSQL 8.4)
SELECT
*
FROM (
SELECT
ROW_NUMBER() OVER (PARTITION BY section_id ORDER BY name) AS r,
t.*
FROM
xxx t) x
WHERE
x.r <= 2;
답변
v9.3부터 측면 결합을 수행 할 수 있습니다
select distinct t_outer.section_id, t_top.id, t_top.name from t t_outer
join lateral (
select * from t t_inner
where t_inner.section_id = t_outer.section_id
order by t_inner.name
limit 2
) t_top on true
order by t_outer.section_id;
그것은 빠를 수도 있지만, 물론, 당신은 당신의 데이터와 사용 사례에 특히 성능을 테스트해야합니다.
답변
다른 솔루션이 있습니다 (PostgreSQL <= 8.3).
SELECT
*
FROM
xxx a
WHERE (
SELECT
COUNT(*)
FROM
xxx
WHERE
section_id = a.section_id
AND
name <= a.name
) <= 2
답변
SELECT x.*
FROM (
SELECT section_id,
COALESCE
(
(
SELECT xi
FROM xxx xi
WHERE xi.section_id = xo.section_id
ORDER BY
name, id
OFFSET 1 LIMIT 1
),
(
SELECT xi
FROM xxx xi
WHERE xi.section_id = xo.section_id
ORDER BY
name DESC, id DESC
LIMIT 1
)
) AS mlast
FROM (
SELECT DISTINCT section_id
FROM xxx
) xo
) xoo
JOIN xxx x
ON x.section_id = xoo.section_id
AND (x.name, x.id) <= ((mlast).name, (mlast).id)
답변
-- ranking without WINDOW functions
-- EXPLAIN ANALYZE
WITH rnk AS (
SELECT x1.id
, COUNT(x2.id) AS rnk
FROM xxx x1
LEFT JOIN xxx x2 ON x1.section_id = x2.section_id AND x2.name <= x1.name
GROUP BY x1.id
)
SELECT this.*
FROM xxx this
JOIN rnk ON rnk.id = this.id
WHERE rnk.rnk <=2
ORDER BY this.section_id, rnk.rnk
;
-- The same without using a CTE
-- EXPLAIN ANALYZE
SELECT this.*
FROM xxx this
JOIN ( SELECT x1.id
, COUNT(x2.id) AS rnk
FROM xxx x1
LEFT JOIN xxx x2 ON x1.section_id = x2.section_id AND x2.name <= x1.name
GROUP BY x1.id
) rnk
ON rnk.id = this.id
WHERE rnk.rnk <=2
ORDER BY this.section_id, rnk.rnk
;