Mysql 为应具有值的列连接返回零
我相信我的查询格式不正确,但我的谷歌技能还没有找到一个有效的解决方案。这是我的疑问:Mysql 为应具有值的列连接返回零,mysql,join,Mysql,Join,我相信我的查询格式不正确,但我的谷歌技能还没有找到一个有效的解决方案。这是我的疑问: use movement; select t1.StoreNumber, t1.saleDate, t1.departmentNumber, sum(t1.dollarsSold), sum(ifnull(t2.loss,0)) from movement.movement t1 left join knownLoss.producekl t2 ON t1.StoreNumber = t2.Store wher
use movement;
select t1.StoreNumber, t1.saleDate, t1.departmentNumber, sum(t1.dollarsSold), sum(ifnull(t2.loss,0))
from movement.movement t1
left join knownLoss.producekl t2 ON t1.StoreNumber = t2.Store
where t1.StoreNumber = 3
AND (t1.departmentNumber = 10 OR t1.departmentNumber = 20 OR t1.departmentNumber = 27 OR t1.departmentNumber = 30 OR t1.departmentNumber = 40 OR t1.departmentNumber = 50 OR t1.departmentNumber = 51 OR t1.departmentNumber = 60 OR t1.departmentNumber = 70 OR t1.departmentNumber = 80 OR t1.departmentNumber = 81 OR t1.departmentNumber = 82 OR t1.departmentNumber = 90 OR t1.departmentNumber = 95 OR t1.departmentNumber = 96 OR t1.departmentNumber = 97)
AND t1.saleDate > date_sub(curdate(), interval 7 day)
group by t1.saleDate, t1.StoreNumber, t1.departmentNumber;
我的预期输出是在最后两列中提供一个按销售日期、商店和部门分组的表格,汇总销售总额和销售损失
我的预期输出应该如下所示:
-------------------------------------------------------------
| Store Number | Sale Date | Dept Num | Dollars Sold | Loss |
-------------------------------------------------------------
| 1 | 2017-3-9 | 10 | 7435.26 | 0.00 |
-------------------------------------------------------------
| 1 | 2017-3-9 | 20 | 30.50 | 3.00 |
-------------------------------------------------------------
| 1 | 2017-3-10 | 10 | 2503.22 | 4.00 |
-------------------------------------------------------------
| 2 | 2017-3-11 | 10 | 5685.49 |17.50 |
-------------------------------------------------------------
| 3 | 2017-3-9 | 10 | 75.26 | 4.55 |
-------------------------------------------------------------
| 4 | 2017-3-9 | 10 | 7435.26 | 0.00 |
-------------------------------------------------------------
| 4 | 2017-3-13 | 30 | 20.45 | 1.99 |
-------------------------------------------------------------
损失列不是我的预期输出,而是全部为零
-------------------------------------------------------------
| Store Number | Sale Date | Dept Num | Dollars Sold | Loss |
-------------------------------------------------------------
| 1 | 2017-3-9 | 10 | 7435.26 | 0.00 |
-------------------------------------------------------------
| 1 | 2017-3-9 | 20 | 30.50 | 0.00 |
-------------------------------------------------------------
| 1 | 2017-3-10 | 10 | 2503.22 | 0.00 |
-------------------------------------------------------------
| 2 | 2017-3-11 | 10 | 5685.49 | 0.00 |
-------------------------------------------------------------
| 3 | 2017-3-9 | 10 | 75.26 | 0.00 |
-------------------------------------------------------------
| 4 | 2017-3-9 | 10 | 7435.26 | 0.00 |
-------------------------------------------------------------
| 4 | 2017-3-13 | 30 | 20.45 | 0.00 |
-------------------------------------------------------------
即使当我单独查询t2时,它也会返回结果
use knownLoss;
select t2.Store, t2.Department, t2.klDate, sum(t2.loss)
from producekl t2
group by klDate, Store, Department;
所以我的加入一定是一团糟,但我不知道怎么办。有什么想法吗?FWIW,我觉得这更容易阅读 我不熟悉curdatee函数,所以我用它代替了其他函数
SELECT t1.StoreNumber
, t1.saleDate
, t1.departmentNumber
, SUM(t1.dollarsSold)
, SUM(IFNULL(t2.loss,0))
FROM movement.movement t1
LEFT
JOIN knownLoss.producekl t2
ON t1.StoreNumber = t2.Store
WHERE t1.StoreNumber = 3
AND t1.departmentNumber IN(10,20,27,30,40,50,51,60,70,80,81,82,90,95,96,97)
AND t1.saleDate > DATE_SUB(CURDATE(), INTERVAL 7 DAY)
GROUP BY t1.saleDate
, t1.StoreNumber
, t1.departmentNumber;
请注意,组BY中缺少saledate。糟糕。我终于解决了这个问题。我加入的表都没有唯一的值,因此我必须使用子查询来生成唯一的值。这是最终的查询,它产生了我所期望的输出
SELECT t2.StoreNumber
, t2.departmentNumber
, sum(t2.Sales) AS netSales
, ifnull(sum(t3.loss),0) AS knownLoss
, ifnull(round(avg(t3.loss / t2.Sales),4),0) AS percentLoss
from ( SELECT t1.StoreNumber
, t1.departmentNumber
, SUM(t1.dollarsSold) AS Sales
FROM movement.movement t1
WHERE t1.StoreNumber = 1
AND t1.departmentNumber = 80
AND t1.saleDate >= date_sub(SUBDATE(curdate(), WEEKDAY(curdate())), interval 7 day)
AND t1.saleDate < SUBDATE(curdate(), WEEKDAY(curdate()))
GROUP BY t1.StoreNumber
, t1.departmentNumber) t2
left join
(select Store, Department, sum(loss) AS loss
from producekl
where Department = 80
AND Store = 1
AND klDate >= date_sub(SUBDATE(curdate(), WEEKDAY(curdate())), interval 7 day)
AND klDate < SUBDATE(curdate(), WEEKDAY(curdate()))
group by Store, Department) t3 ON t2.StoreNumber = t3.Store
GROUP BY t2.StoreNumber, t2.departmentNumber
感谢草莓鼓励良好的格式,它帮助我更快地解决了问题。我怀疑你的t1.StoreNumber和t2.Store是不相关的。您如何查询producekl退货?请参阅中的。一根没有棒棒糖的棍子一点也不好玩。请注意,格式化更容易阅读,但它返回相同的结果。我不希望按日期分组,这只是我用来返回结果的标准,这应该是在日期范围内出现的值的总和,如果我包括日期,它将把我要查找的总数分成我不想要的部分。虽然格式很好,但我需要记住,格式对易读性很重要。