Mysql 查询以从四个表中获取数据_Mysql

Mysql 查询以从四个表中获取数据

mysql

Mysql 查询以从四个表中获取数据,mysql,Mysql,我有以下计划，采购订单 +-------------------+----------------------+ | purchase_order_id | purchase_order | +-------------------+----------------------+ | 54 | Purchase Order 12345 | | 56 | po-laptop-hp-3 | |

我有以下计划， 采购订单

+-------------------+----------------------+
| purchase_order_id | purchase_order       |
+-------------------+----------------------+
|                54 | Purchase Order 12345 |
|                56 | po-laptop-hp-3       |
|                57 | po-laptop-hp-1       |
+-------------------+----------------------+

+-------------------+--------------------------+-------------------+
| delivery_order_id | purchase_order_detail_id | recieved_quantity |
+-------------------+--------------------------+-------------------+
|                62 |                       61 |               250 |
|                63 |                       62 |               300 |
|                64 |                       63 |                34 |
|                65 |                       64 |                34 |
|                66 |                       65 |                34 |
|                67 |                       66 |                34 |
|                68 |                       61 |                34 |
|                69 |                       61 |                34 |
+-------------------+--------------------------+-------------------+

采购订单详细信息

+--------------------------+-------------------+---------+------------------+
| purchase_order_detail_id | purchase_order_id | item_id | ordered_quantity |
+--------------------------+-------------------+---------+------------------+
|                       61 |                54 |     279 |              500 |
|                       62 |                54 |     286 |              700 |
|                       63 |                56 |     279 |               43 |
|                       64 |                57 |     279 |               43 |
|                       65 |                57 |     286 |               43 |
|                       66 |                57 |     287 |               43 |
+--------------------------+-------------------+---------+------------------+

交货单

+-------------------+----------------------+
| purchase_order_id | purchase_order       |
+-------------------+----------------------+
|                54 | Purchase Order 12345 |
|                56 | po-laptop-hp-3       |
|                57 | po-laptop-hp-1       |
+-------------------+----------------------+

+-------------------+--------------------------+-------------------+
| delivery_order_id | purchase_order_detail_id | recieved_quantity |
+-------------------+--------------------------+-------------------+
|                62 |                       61 |               250 |
|                63 |                       62 |               300 |
|                64 |                       63 |                34 |
|                65 |                       64 |                34 |
|                66 |                       65 |                34 |
|                67 |                       66 |                34 |
|                68 |                       61 |                34 |
|                69 |                       61 |                34 |
+-------------------+--------------------------+-------------------+

股票

+----------+-------------------+------------+----------+------------------+---------------+
| stock_id | delivery_order_id | project_id | quantity | initial_quantity | stock_type_id |
+----------+-------------------+------------+----------+------------------+---------------+
|       12 |                62 |          1 |       60 |               60 |             1 |
|       13 |                63 |          1 |      120 |              120 |             1 |
|       14 |                63 |          1 |       50 |               50 |             1 |
|       15 |                64 |          1 |       12 |               12 |             1 |
|       16 |                62 |          1 |      120 |              120 |             1 |
|       17 |                62 |          1 |       12 |               12 |             1 |
+----------+-------------------+------------+----------+------------------+---------------+

我已经编写了这个查询，但它返回重复的结果

      SELECT po.created_on
           , po.purchase_order
           , i.item_name
           , u.unit_name
           , pod.ordered_quantity
           , do.recieved_quantity
           , do.recieved_on
           , po.remarks
        FROM purchase_order        po
           , purchase_order_detail pod
           , delivery_order        do
           , stock                 s
           , item                  i
           , unit                  u
       WHERE u.unit_id                    = i.unit_id 
         AND i.item_id                    = pod.item_id
         AND po.purchase_order_id         = pod.purchase_order_id
         AND pod.purchase_order_detail_id = do.purchase_order_detail_id  
         AND do.delivery_order_id         = s.delivery_order_id
         AND s.project_id                 = 1 
    ORDER BY po.purchase_order_id
           , pod.item_id
           ;

结果

+---------------------+----------------------+------------+-----------+------------------+-------------------+---------------------+---------------------------------------+
| created_on          | purchase_order       | item_name  | unit_name | ordered_quantity | recieved_quantity | recieved_on         | remarks                               |
+---------------------+----------------------+------------+-----------+------------------+-------------------+---------------------+---------------------------------------+
| 2015-02-24 22:48:15 | Purchase Order 12345 | HP Laptops | Unit      |              500 |               250 | 2015-02-21 00:00:00 | Adding first Purchase Order as a Test |
| 2015-02-24 22:48:15 | Purchase Order 12345 | HP Laptops | Unit      |              500 |               250 | 2015-02-21 00:00:00 | Adding first Purchase Order as a Test |
| 2015-02-24 22:48:15 | Purchase Order 12345 | Lenovo     | Unit      |              700 |               300 | 2015-02-21 00:00:00 | Adding first Purchase Order as a Test |
| 2015-02-24 22:48:15 | Purchase Order 12345 | Lenovo     | Unit      |              700 |               300 | 2015-02-21 00:00:00 | Adding first Purchase Order as a Test |
| 2015-02-24 22:55:40 | po-laptop-hp-3       | HP Laptops | Unit      |               43 |                34 | 2015-02-21 00:00:00 | dfgsdfgsd                             |
+---------------------+----------------------+------------+-----------+------------------+-------------------+---------------------+---------------------------------------+

关系是从上到下的一对多。我想要得到的是每个采购订单、每个项目的订购数量、总接收数量以及库存数量，其中project_id=1 from stock

我期待着这样的事情

+-------------------+---------+------------------+---------------+----------+
| purchase_order_id | item_id | ordered_quantity | totalReceived | quantity |
+-------------------+---------+------------------+---------------+----------+
|                54 |     279 |              500 |           314 |      192 |
|                54 |     286 |              700 |           300 |      170 |
|                56 |     279 |               43 |            34 |       12 |
+-------------------+---------+------------------+---------------+----------+

尝试修改查询以使用不同的外部联接，而不是笛卡尔（“逗号”）联接

编辑

谢谢你澄清了我第一部分的错误。我现在意识到我们不能在一个查询中完成所有的计算（因为我们在不同的部分中对不同的列进行分组），所以我开始编写单独的子查询并将它们连接在一起。步骤如下：

获取每个项目的已接收总已接收数量之和交货订单表中的采购订单详细信息id
将该子查询与delivery_order表本身连接起来，以获取各种delivery_order_id值的totalReceived
将该结果集与purchase\u order\u detail表联接，以获取每个交货订单id的purchase\u order\u id、item\u id和ordered\u数量

我们现在有了一个结果集，包括交货订单id、采购订单id、物料id、订单数量和总接收量。最后两件事是：

从库存表中获取每个交货订单id的数量总和（）
在order_id匹配（因此我们只获得一行）和project_id为1（因此我们只获得必要的delivery_order_id值）的条件下，将其与上述结果集连接起来。我将该条件放在sum子查询的
```
WHERE
```
子句中

以下是您的最终查询：

SELECT tmp1.purchase_order_id, tmp1.item_id, tmp1.ordered_quantity, tmp1.totalReceived, tmp2.quantity
FROM(
  SELECT tmp.delivery_order_id, pod.purchase_order_id, pod.item_id, pod.ordered_quantity, tmp.totalReceived
  FROM purchase_order_detail pod
  JOIN(
    SELECT do.delivery_order_id, tmp.purchase_order_detail_id, tmp.totalReceived
    FROM delivery_order do
    JOIN(
      SELECT do.purchase_order_detail_id, SUM(do.received_quantity) AS totalReceived
      FROM delivery_order do
      GROUP BY do.purchase_order_detail_id) tmp ON tmp.purchase_order_detail_id = do.purchase_order_detail_id) 
    tmp ON tmp.purchase_order_detail_id = pod.purchase_order_detail_id) tmp1
JOIN(
  SELECT s.delivery_order_id, SUM(quantity) AS quantity
  FROM stock s
  WHERE s.project_id = 1
  GROUP BY s.delivery_order_id) tmp2 ON tmp2.delivery_order_id = tmp1.delivery_order_id;

这是你的电话号码。如果您想了解结果是如何分别组合在一起的，它还显示了所有中间步骤。

您对样本数据的预期结果是什么？您的查询非常接近，但它返回了rowing结果，运行此命令可以查看订购数量和接收数量的差异。嗯，我将尝试解决它。你能用我应该得到的正确结果编辑你的问题吗？你的查询的问题是，当他们的多个已收数量与一个已订购数量相比时，它返回的结果不正确，否则是正确的。我的问题也发生了同样的情况。@MTaqi我为误解感到抱歉。我已经修改了这个问题，并用一个有效的解决方案替换了我的答案。@MTaqi您有机会测试编辑过的解决方案吗？有什么问题吗？