我尝试编写一些查询，允许我为特定表格的每一行选择N行（按特定顺序）。
换句话说 - 我有选择查询，可以获得我需要的所有结果， 但是我需要修改它以通过添加额外的过滤器（附加表）来返回统一的数据分布。
我有什么：
Table "target_table"
Column | Type | Modifiers
------------+------------------------+-----------------------
site_id | integer | not null default 0
code | integer | not null default 0
teaser_id | integer | not null default 0
cpm | bigint | not null
show_type | smallint | not null default 1
ctr_table | character varying(255) |
Table "table_filter_1"
Column | Type | Modifiers
-------------+--------+-----------
campaign_id | bigint | not null
group_id | bigint | not null
View "view_1"
Column | Type | Modifiers
-------------+---------+-----------
teaser_id | bigint |
user_id | bigint |
campaign_id | bigint |
AND查询：
SELECT
cache.teaser_id,
cache.cpm,
cache.show_type
FROM target_table as cache
JOIN view_1 t
ON cache.teaser_id = t.teaser_id
JOIN table_filter_1 g
ON t.campaign_id = g.campaign_id AND g.group_id = 55
WHERE cache.show_type IN (4444) AND
cache.site_id = 999999
AND (cache.code = 4)
GROUP BY cache.teaser_id, cache.cpm, cache.show_type
ORDER BY cpm DESC
LIMIT 500;
我也有桌子：
Table "table_filter_2"
Column | Type | Modifiers
-------------+--------+-----------
campaign_id | bigint | not null
group_id | bigint | not null
Table "table_filter_3"
Column | Type | Modifiers
-------------+--------+-----------
campaign_id | bigint | not null
group_id | bigint | not null
＆＃34; table_filter_2＆＃34;和＆＃34; table_filter_3＆＃34;类似于＆＃34; table_filter_1＆＃34;
目标是修改查询，以便它可以从＆＃34; target_table＆＃34;中选择数据。根据＆＃34; table_filter_2＆＃34;和＆＃34; table_filter_3＆＃34;， 等
1）对于＆＃34; table_filter_2＆＃34;的每一行从＆＃34; target_table＆＃34;中选择5个值，然后为＆＃34; table_filter_3＆＃34;的每一行选择从＆＃34; target_table＆＃34;;中选择5个值
2）联盟结果;
3）按teaser_id列分组以防止重复;
4）退货由＆＃34; cpm＆＃34;栏目结果。
我尝试以下一种方式做到：
1）在CTE中选择第一个查询的campaign_ids
2）从＆＃34; table_filter_2＆＃34;中选择group_ids;在CTE。
3）从＆＃34; table_filter_3＆＃34;中选择group_ids。在CTE。
4）过滤查询但未结束（错误）。
WITH temp_data AS (
SELECT DISTINCT
t.campaign_id,
cache.cpm
FROM target_table as cache
JOIN view_1 t
ON cache.teaser_id = t.teaser_id
JOIN table_filter_1 g
ON t.campaign_id = g.campaign_id AND g.group_id = 17
WHERE cache.show_type IN (4444)
AND cache.site_id = 999999
AND (cache.geo_code = 4)
GROUP BY cache.teaser_id, cache.cpm, cache.show_type
ORDER BY cache.cpm DESC, t.campaign_id ASC
), cte_3 AS (
SELECT cdg.group_id, cdg.campaign_id
FROM campaigns_devices_groups cdg
WHERE cdg.campaign_id IN (SELECT campaign_id FROM temp_data)
), cte_4 AS (
SELECT cosg.group_id, cosg.campaign_id
FROM campaigns_operation_systems_groups cosg
WHERE cosg.campaign_id IN (SELECT campaign_id FROM temp_data)
)
SELECT (_row).*
FROM (
SELECT unnest(array(
SELECT
cache.teaser_id,
cache.cpm,
cache.show_type
FROM target_table AS cache
JOIN view_1 t
ON cache.teaser_id = t.teaser_id
JOIN table_filter_1 g
ON t.campaign_id = g.campaign_id AND g.group_id = 17
JOIN table_filter_2 cdg
ON t.campaign_id = cdg.campaign_id
AND cdg.group_id = cte_3.group_id
WHERE cache.show_type IN (4444) AND
cache.site_id = 999999
AND (cache.geo_code = 4)
GROUP BY cache.teaser_id, cache.cpm, cache.show_type
ORDER BY cpm DESC
LIMIT 5
)) AS _row
FROM cte_3
WHERE group_id IS NOT NULL
OFFSET 0
) AS _t;
任何帮助将不胜感激！
示例结果：
我得到的第一个（原始）查询：
teaser_id | cpm | show_type |
-----------+---------+-----------+
3391517 | 192644 | 4096 |
401516 | 180232 | 4096 |
3391215 | 165000 | 4096 |
3391514 | 193244 | 4096 |
3321513 | 192244 | 4096 |
3491511 | 194544 | 4096 |
3393512 | 122644 | 4096 |
对于最终查询或查询，我需要相同的结果格式。