我有这张表,用于通过 station_id 进行分组查询。
+------------------+---------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+------------------+---------------+------+-----+---------+-------+
| id | varchar(50) | NO | PRI | NULL | |
| station_id | tinyint(3) | NO | | NULL | |
| game_type_id | smallint(1) | NO | MUL | NULL | |
| price | decimal(10,2) | YES | | 0.00 | |
| date_created | datetime | YES | MUL | NULL | |
| bet_no1 | tinyint(2) | YES | | 0 | |
| bet_no2 | tinyint(2) | YES | | 0 | |
+------------------+---------------+------+-----+---------+-------+
以下是我使用 GROUP BY station_id
在桌面上显示的查询SELECT station_id,
COUNT(*) as bet_counts,
FORMAT(SUM(price),2) as gross
FROM bets
WHERE bet_void=0
AND date_created >= '2013-02-12 00:00:00'
AND date_created < '2013-02-23 00:00:00'
GROUP BY station_id
查询会给我。
+------------+------------+-------+
| station_id | bet_counts | gross |
+------------+------------+-------+
| 1 | 14 | 16.00 |
| 2 | 5 | 5.00 |
| 7 | 11 | 11.00 |
+------------+------------+-------+
但我还有另一个查询,它会计算每个 station_id 的每个特定投注( game_type_id )。我通常在循环语句中查询它。
SELECT COUNT(*) as count
FROM bets
WHERE game_type_id = 1
AND station_id = {station_id from first query}
AND date_created >= '2013-02-12 00:00:00'
AND date_created < '2013-02-23 00:00:00'
我的问题是,如何在一个查询中进行此操作并仍使用 GROUP BY station_id ,并获取每个 game_type_id 的投注数量?像这样的结果。
+------------+------------+-------+-------------------------+-------------------------+
| station_id | bet_counts | gross | count_of_game_type_id_1 | count_of_game_type_id_2 |
+------------+------------+-------+-------------------------+-------------------------+
| 1 | 14 | 16.00 | 10 | 4 |
| 2 | 5 | 5.00 | 3 | 2 |
| 7 | 11 | 11.00 | 11 | 0 |
+------------+------------+-------+-------------------------+-------------------------+
答案 0 :(得分:1)
您可以通过将结果加在一起来完成此操作。但是,两个查询中的逻辑非常相似,因此您可以将它们组合成一个聚合查询:
SELECT station_id,sum(case when bet_void = 0 then 1 else 0 end) as bet_counts,
FORMAT(SUM(case when bet_void = 0 then price else 0 end),2) as gross,
sum(case when game_type_id = 1 then 1 else 0 end) as count
FROM bets b
where date_created >= '2013-02-12 00:00:00' AND date_created < '2013-02-23 00:00:00'
GROUP BY station_id