SQL Server 2008 - 查找艺术品的位置

SQL Server 2008 - Find Locations for Artwork

考虑以下 table 和 SQL Server 2008 数据库中的数据:

CREATE TABLE sponsorships 
(
    sponsorshipID INT NOT NULL PRIMARY KEY IDENTITY,
    sponsorshipLocationID INT NOT NULL,
    sponsorshipArtworkID INT NOT NULL
);

INSERT INTO sponsorships (sponsorshipLocationID, sponsorshipArtworkID) 
VALUES (1, 1);
INSERT INTO sponsorships (sponsorshipLocationID, sponsorshipArtworkID) 
VALUES (1, 2);
INSERT INTO sponsorships (sponsorshipLocationID, sponsorshipArtworkID) 
VALUES (2, 1);
INSERT INTO sponsorships (sponsorshipLocationID, sponsorshipArtworkID) 
VALUES (2, 2);
INSERT INTO sponsorships (sponsorshipLocationID, sponsorshipArtworkID) 
VALUES (3, 3);
INSERT INTO sponsorships (sponsorshipLocationID, sponsorshipArtworkID) 
VALUES (4, 3);
INSERT INTO sponsorships (sponsorshipLocationID, sponsorshipArtworkID) 
VALUES (5, 4);
INSERT INTO sponsorships (sponsorshipLocationID, sponsorshipArtworkID) 
VALUES (6, 1);
INSERT INTO sponsorships (sponsorshipLocationID, sponsorshipArtworkID) 
VALUES (7, 1);
INSERT INTO sponsorships (sponsorshipLocationID, sponsorshipArtworkID) 
VALUES (7, 3);

SELECT *
FROM sponsorships s
ORDER BY s.sponsorshipLocationID, s.sponsorshipArtworkID

如何生成以下输出?

CREATE TABLE sponGroups 
(
    rank INT,
    sponsorshipID INT,
    sponsorshipLocationID INT,
    sponsorshipArtworkID INT
);

INSERT INTO sponGroups VALUES (1, 1, 1, 1);
INSERT INTO sponGroups VALUES (1, 2, 1, 2);
INSERT INTO sponGroups VALUES (1, 3, 2, 1);
INSERT INTO sponGroups VALUES (1, 4, 2, 2);
INSERT INTO sponGroups VALUES (2, 5, 3, 3);
INSERT INTO sponGroups VALUES (2, 6, 4, 3);
INSERT INTO sponGroups VALUES (3, 7, 5, 4);
INSERT INTO sponGroups VALUES (4, 8, 6, 1);
INSERT INTO sponGroups VALUES (5, 9, 7, 1);
INSERT INTO sponGroups VALUES (5, 10, 7, 3);

SELECT *
FROM sponGroups sg
ORDER BY sg.rank, sg.sponsorshipID, sg.sponsorshipLocationID, sg.sponsorshipArtworkID

Fiddle 可用,here.

说明

艺术作品展示在不同的位置。一些位置安装了双面图稿(例如 windows),而一些位置则安装了单面图稿(例如墙壁)。例如,位置 1 的图稿是双面的——它具有 sponsorshipArtworkID 1 和 2——而位置 5 的图稿是单面的 (sponsorshipArtworkID 4)。

为了打印和安装目的,我需要一个查询来生成每件艺术品,无论是单面还是双面,以及与该作品相关的所有位置。 (在上面链接的 fiddle 中引用所需的输出。)因此,例如,我需要告诉打印机:

请注意,艺术有时会被重复使用,因此 sponsorshipArtworkID 1 用于单面和双面位置。

我曾尝试使用 DENSE_RANK()、递归 CTE 和集合除法来解决这个问题,但到目前为止还没有成功。在此先感谢您的帮助。

可能看起来有点丑,但是思路很简单

首先按 sponsorshipLocationID 分组,并使用关联的 sponsorshipArtworkID.

列表构建一个逗号分隔的字符串

然后根据这个以逗号分隔的艺术作品 ID 字符串计算密集排名。

在下面的查询中,我使用 FOR XML 来连接字符串。这不是唯一的方法。有编写好的快速 CLR 函数可以做到这一点。

我建议 运行 下面的查询,逐个 CTE,并检查中间结果以了解它是如何工作的。

示例数据

DECLARE @sponsorships TABLE
(
    sponsorshipID INT NOT NULL PRIMARY KEY IDENTITY,
    sponsorshipLocationID INT NOT NULL,
    sponsorshipArtworkID INT NOT NULL
);

INSERT INTO @sponsorships (sponsorshipLocationID, sponsorshipArtworkID) VALUES 
(1, 1),
(1, 2),
(2, 1),
(2, 2),
(3, 3),
(4, 3),
(5, 4),
(6, 1),
(7, 1),
(7, 3);

查询

WITH
CTE_Locations
AS
(
    SELECT
        sponsorshipLocationID
    FROM
        @sponsorships AS S
    GROUP BY
        sponsorshipLocationID
)
,CTE_Artworks
AS
(
    SELECT
        CTE_Locations.sponsorshipLocationID
        ,CA_Data.Artwork_Value
    FROM
        CTE_Locations
        CROSS APPLY
        (
            SELECT CAST(S.sponsorshipArtworkID AS varchar(10)) + ','
            FROM
                @sponsorships AS S
            WHERE
                S.sponsorshipLocationID = CTE_Locations.sponsorshipLocationID
            ORDER BY
                S.sponsorshipArtworkID
            FOR XML PATH(''), TYPE
        ) AS CA_XML(XML_Value)
        CROSS APPLY
        (
            SELECT CA_XML.XML_Value.value('.', 'NVARCHAR(MAX)')
        ) AS CA_Data(Artwork_Value)
)
,CTE_Rank
AS
(
    SELECT
        sponsorshipLocationID
        ,Artwork_Value
        ,DENSE_RANK() OVER (ORDER BY Artwork_Value) AS r
    FROM CTE_Artworks
)
SELECT
    CTE_Rank.r
    ,S.sponsorshipID
    ,CTE_Rank.sponsorshipLocationID
    ,S.sponsorshipArtworkID
FROM
    CTE_Rank
    INNER JOIN @sponsorships AS S 
        ON S.sponsorshipLocationID = CTE_Rank.sponsorshipLocationID
ORDER BY
    S.sponsorshipID
;

结果

+---+---------------+-----------------------+----------------------+
| r | sponsorshipID | sponsorshipLocationID | sponsorshipArtworkID |
+---+---------------+-----------------------+----------------------+
| 2 |             1 |                     1 |                    1 |
| 2 |             2 |                     1 |                    2 |
| 2 |             3 |                     2 |                    1 |
| 2 |             4 |                     2 |                    2 |
| 4 |             5 |                     3 |                    3 |
| 4 |             6 |                     4 |                    3 |
| 5 |             7 |                     5 |                    4 |
| 1 |             8 |                     6 |                    1 |
| 3 |             9 |                     7 |                    1 |
| 3 |            10 |                     7 |                    3 |
+---+---------------+-----------------------+----------------------+

rank 的实际值与您的预期结果不完全相同,但它们对行进行了正确分组。