我有2张桌子
1 - 优惠券
2 - 牵引
对于每个优惠券,在tractions表中可能会有几行 我希望列出所有优惠券和不同条件下的跟踪数量
SELECT `coupons`.`id` ,
count( tractions_all.id ) AS `all` ,
count( tractions_void.id ) AS void,
count( tractions_returny.id ) AS returny,
count( tractions_burned.id ) AS burned
FROM `coupons`
LEFT JOIN `tractions` AS `tractions_all`
ON `coupons`.`id` = `tractions_all`.`coupon_parent`
LEFT JOIN `tractions` AS `tractions_void`
ON `coupons`.`id` = `tractions_void`.`coupon_parent`
AND `tractions_void`.`expired` =1
LEFT JOIN `tractions` `tractions_returny`
ON `tractions_returny`.`coupon_parent` = `coupons`.`id`
AND `tractions_returny`.`expired` =11
LEFT JOIN `tractions` `tractions_burned`
ON `tractions_burned`.`coupon_parent` = `coupons`.`id`
AND `tractions_burned`.`expired` =0
AND '2014-02-12'
WHERE `coupons`.`parent` =0
GROUP BY `coupons`.`id`
现在只有我的一张优惠券有2
牵引力burned traction
其他优惠券根本没有牵引力
这是结果
因为你可以看到id=13
的优惠券有4个牵引力,而它应该是2 ...我做错了什么?如果我删除最后一个连接它工作正常,我得到2
答案 0 :(得分:1)
您一次聚合多个维度,从而为每个ID生成笛卡尔积。
如果您的数据量不是很大,解决此问题的最简单方法是使用distinct
:
SELECT `coupons`.`id` ,
count(distinct tractions_all.id ) AS `all` ,
count(distinct tractions_void.id ) AS void,
count(distinct tractions_returny.id ) AS returny,
count(distinct tractions_burned.id ) AS burned
如果您的数据很大,那么您可能需要先将值聚合为子查询,然后再进行连接。