SQL Server - 基於另一列的Sum，並與STUFF / XML PATH結合使用？

Question

我不確定這是否令人難以置信，所以請提前道歉。

CREATE TABLE TestOrder
(
[OrderLineID] INT NOT NULL IDENTITY PRIMARY KEY,
[Item] NVARCHAR(30) NULL,
[OrderQty] INT NULL,
[Status1] INT NULL, 
[Quantity_at_sts1] INT NULL,
[Status2] INT NULL, 
[Quantity_at_sts2] INT NULL,
[Status3] INT NULL, 
[Quantity_at_sts3] INT NULL,
[Status4] INT NULL, 
[Quantity_at_sts4] INT NULL,
[Status5] INT NULL, 
[Quantity_at_sts5] INT NULL,
[OrderRef] NVARCHAR(10) NULL
)

INSERT INTO TestOrder
values
('TSHIRT','1','100','1','0','0','0','0','0','0','0','0','Ord.1'),
('SOCKS','4','50','4','0','0','0','0','0','0','0','0','Ord.2'),
('SHIRT','5','10','1','50','2','0','0','0','0','0','0','Ord.3'),
('SHIRT','5','100','2','0','0','0','0','0','0','0','0','Ord.3'),
('SOCKS','10','10','4','50','2','0','0','0','0','0','0','Ord.4'),
('SOCKS','10','50','3','100','1','0','0','0','0','0','0','Ord.4')

。

| OrderLineID | Item | OrderQty | Status1 | Quantity_at_sts1 | Status2 | Quantity_at_sts2 | Status3 | Quantity_at_sts3 | Status4 | Quantity_at_sts_4 | Status5 | Quantity_at_sts5 | OrderRef |
|-------------|------|----------|---------|------------------|---------|------------------|---------|------------------|---------|-------------------|---------|------------------|----------|
|    1        |TSHIRT|   1      |    100  |       1          |   0     |    0             |   0     |         0        |    0    |         0         |    0    |         0        |   Ord.1  |
|    2        |SOCKS |   4      |    50   |       4          |   0     |    0             |   0     |         0        |    0    |         0         |    0    |         0        |   Ord.2  |
|    3        |SHIRT |   5      |    10   |       1          |   50    |    2             |   0     |         0        |    0    |         0         |    0    |         0        |   Ord.3  |
|    4        |SHIRT |   5      |    100  |       2          |   0     |    0             |   0     |         0        |    0    |         0         |    0    |         0        |   Ord.3  |
|    5        |SOCKS |   10     |    10   |       4          |   50    |    2             |   0     |         0        |    0    |         0         |    0    |         0        |   Ord.4  |
|    6        |SOCKS |   10     |    50   |       3          |   100   |    1             |   0     |         0        |    0    |         0         |    0    |         0        |   Ord.4  |

所以這個表實際上是一個訂單表，所有“status1，quantity_at_sts1，status2 ......”等列實際上是該訂單的進度。 想象一下，你有10到100之間的各種狀態，10個'未開始'，100個'完成和發送'。 “OrderRef”列實際上是這些感興趣的訂單的關鍵標識符; 例如，'Ord.3'和'Ord.4'的4行實際上只是每個訂單上的一個單項，但每行的狀態不同。

到目前為止，我一直在使用case語句將所有這些狀態放到一個更容易閱讀的列中（忽略所有的轉換，因為它們僅在實際數據上需要）：

select
CASE
WHEN status2 = 0 THEN '['+CAST(status1 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts1 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10))
WHEN status2 > 0 AND status3 = 0 THEN '['+CAST(status1 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts1 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10))+' - '+'['+CAST(status2 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts2 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10))
WHEN status3 > 0 AND status4 = 0 THEN '['+CAST(status1 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts1 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10))+' - '+'['+CAST(status2 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts2 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10))+' - ['+CAST(status3 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts3 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10))
WHEN status4 > 0 AND status5 = 0 THEN '['+CAST(status1 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts1 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10))+' - '+'['+CAST(status2 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts2 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10))+' - ['+CAST(status3 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts3 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10)) + ' - ['+CAST(status4 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts4 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10))
when status5 > 0 then '['+CAST(status1 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts1 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10))+' - '+'['+CAST(status2 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts2 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10))+' - ['+CAST(status3 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts3 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10)) + ' - ['+CAST(status4 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts4 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10)) + ' - ['+CAST(status5 AS NVARCHAR(10))+'] '+CAST(CAST(CAST(quantity_at_sts5 AS DECIMAL(20, 6)) AS FLOAT) AS NVARCHAR(10))
END AS 'all_statuses'
, *
from testorder

。

| all_statuses     |  OrderLineID | Item | OrderQty | Status1 | Quantity_at_sts1 | Status2 | Quantity_at_sts2 | Status3 | Quantity_at_sts3 | Status4 | Quantity_at_sts_4 | Status5 | Quantity_at_sts5 | OrderRef |
|------------------|--------------|------|----------|---------|------------------|---------|------------------|---------|------------------|---------|-------------------|---------|------------------|----------|
| [100] 1          |      1       |TSHIRT|   1      |    100  |       1          |   0     |    0             |   0     |         0        |    0    |         0         |    0    |         0        |   Ord.1  |
| [50] 4           |      2       |SOCKS |   4      |    50   |       4          |   0     |    0             |   0     |         0        |    0    |         0         |    0    |         0        |   Ord.2  |
| [10] 1 - [50] 2  |      3       |SHIRT |   5      |    10   |       1          |   50    |    2             |   0     |         0        |    0    |         0         |    0    |         0        |   Ord.3  |
| [100] 2          |      4       |SHIRT |   5      |    100  |       2          |   0     |    0             |   0     |         0        |    0    |         0         |    0    |         0        |   Ord.3  |
| [10] 4 - [50] 2  |      5       |SOCKS |   10     |    10   |       4          |   50    |    2             |   0     |         0        |    0    |         0         |    0    |         0        |   Ord.4  |
| [50] 3 - [100] 1 |      6       |SOCKS |   10     |    50   |       3          |   100   |    1             |   0     |         0        |    0    |         0         |    0    |         0        |   Ord.4  |

我的理想是按每個唯一的OrderRef值匯總，all_statuses是具有OrderRef值的所有行的總和量：

| all_statuses               |  OrderQty  |  OrderRef |
|----------------------------|------------|-----------|
| [100] 1                    |      1     |   Ord.1   |
| [50] 4                     |      4     |   Ord.2   |
| [10] 1 - [50] 2 - [100] 2  |      5     |   Ord.3   |
| [10] 4 - [50] 5 - [100] 1  |      10    |   Ord.4   |

但是我有兩個問題我正在努力：

1. 將所有狀態（甚至跨多行）放入單個列中
2. 總結具有相同狀態的多行的數量（例如，在Ord.4的情況下）

我對STUFF FOR XML PATH有一點經驗，並認為我可以用STUFF組合做一些荒謬的CASE，但我很難找到一種方法。 這有點太復雜嗎？

Answer 1

第一步是將列拆分為行，您可以使用CROSS APPLY和表值構造函數來執行

SELECT  o.OrderRef, x.*
FROM    #TestOrder AS o
        CROSS APPLY
        (VALUES 
            (1, o.Status1, o.Quantity_at_sts1),
            (2, o.Status2, o.Quantity_at_sts2),
            (3, o.Status3, o.Quantity_at_sts3),
            (4, o.Status4, o.Quantity_at_sts4),
            (5, o.Status5, o.Quantity_at_sts5)
        ) x (StatusNumber, StatusID, Quantity)
WHERE   x.StatusID > 0;

這使：

OrderRef    StatusNumber    StatusID    Quantity
--------------------------------------------------
Ord.1           1              100          1
Ord.2           1              50           4
Ord.3           1              10           1
Ord.3           2              50           2
Ord.3           1              100          2
Ord.4           1              10           4
Ord.4           2              50           2
Ord.4           1              50           3
Ord.4           2              100          1

然后，您需要總結按順序分組的數量，這是一個簡單的SUM / GROUP BY 。 我還添加了一個ROW_NUMBER()列，以便在串聯期間訂購項目時使用：

SELECT  o.OrderRef,
        Quantity = SUM(x.Quantity),
        x.StatusID,
        RowNumber = ROW_NUMBER() OVER(PARTITION BY o.OrderRef ORDER BY MIN(o.OrderLineID), MIN(x.StatusNumber))
FROM    #TestOrder AS o
        CROSS APPLY
        (VALUES 
            (1, o.Status1, o.Quantity_at_sts1),
            (2, o.Status2, o.Quantity_at_sts2),
            (3, o.Status3, o.Quantity_at_sts3),
            (4, o.Status4, o.Quantity_at_sts4),
            (5, o.Status5, o.Quantity_at_sts5)
        ) x (StatusNumber, StatusID, Quantity)
WHERE   x.StatusID > 0
GROUP BY x.StatusID, o.OrderRef

OrderRef    Quantity    StatusID    RowNumber
----------------------------------------------
Ord.1           1          100          1
Ord.2           4          50           1
Ord.3           1          10           1
Ord.3           2          50           2
Ord.3           2          100          3
Ord.4           4          10           1
Ord.4           5          50           2   <-- TWO ROWS GROUPED HERE
Ord.4           1          100          3

最后，您可以使用上面派生的表來創建字符串，然后使用SQL Server的XML擴展連接它們：

WITH ALLStatuses AS
(   SELECT  o.OrderRef,
            Quantity = SUM(x.Quantity),
            x.StatusID,
            RowNumber = ROW_NUMBER() OVER(PARTITION BY o.OrderRef ORDER BY MIN(o.OrderLineID), MIN(x.StatusNumber))
    FROM    #TestOrder AS o
            CROSS APPLY
            (VALUES 
                (1, o.Status1, o.Quantity_at_sts1),
                (2, o.Status2, o.Quantity_at_sts2),
                (3, o.Status3, o.Quantity_at_sts3),
                (4, o.Status4, o.Quantity_at_sts4),
                (5, o.Status5, o.Quantity_at_sts5)
            ) x (StatusNumber, StatusID, Quantity)
    WHERE   x.StatusID > 0
    GROUP BY x.StatusID, o.OrderRef
) 
SELECT  all_statuses  = STUFF(( SELECT  CONCAT(' - ', QUOTENAME(S.StatusID), ' ', s.Quantity)
                                FROM    ALLStatuses AS s
                                WHERE   s.OrderRef = o.OrderRef
                                ORDER BY RowNumber
                                FOR XML PATH(''), TYPE
                            ).value('.', 'NVARCHAR(MAX)'), 1, 3, ''),
        o.OrderQty,
        o.OrderRef
FROM    #TestOrder AS o
GROUP BY o.OrderRef, o.OrderQty;

產量

all_statuses                OrderQty      OrderRef
------------------------------------------------
[100] 1                         1           Ord.1
[50] 4                          4           Ord.2
[10] 1 - [50] 2 - [100] 2       5           Ord.3
[10] 4 - [50] 5 - [100] 1       10          Ord.4