为具有值的列加入返回的零

时间:2017-03-09 05:52:15

标签: mysql join

我认为我的查询格式不正确,但我的Google技能尚未找到有效的解决方案。这是我的问题:

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给出按销售日期,商店和部门总结销售总额和销售损失分组的表格

我的预期输出应如下所示:

-------------------------------------------------------------
| 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 |
-------------------------------------------------------------

损失列的全部为零,而不是我预期的输出损失列。

-------------------------------------------------------------
| 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 |
-------------------------------------------------------------

即使我单独查询t2,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;

所以我的联系必须弄乱,但我无法弄明白。有什么想法吗?

2 个答案:

答案 0 :(得分:1)

FWIW,我发现这更容易阅读...

我不熟悉curdatee()函数,因此我将其替换为其他内容......

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,GROUP BY中缺少saledate。 BAD。

答案 1 :(得分:0)

我终于解决了这个问题。我加入的表都没有唯一值,因此我必须使用子查询来生成唯一值。这是导致我期望的输出的最终查询。

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Strawberry鼓励良好的格式化,它帮助我更快地解决了我的问题。