将不确定数量的行转置为列?

发布于 2025-01-15 01:07:48 字数 2194 浏览 2 评论 0原文

我有两张有数据的表,我们称它们为表 T 和表 B。T 和 B 中的相关数据相互之间具有多对一关系,如下所示:

T.idB.code
A1
A1.2
B1.2
B1.5
C1
C2
C3
C15
D296

等(这只是一个粗略的演示,与我使用的实际数据并不相似)。

我运行了一个 count(*) 查询,发现表 T 中的项目出现在表 B 中的次数最多是 8 次。我想要的是转置上面的表,其中 T 中有成千上万的条目,还有几个将 B 对应值的一百个可能条目放入 9 列表中,如下所示:

T.idCODE 1CODE 2CODE 3CODE 4CODE 5CODE 6CODE 7CODE 8
A11.2NULLNULLNULLNULLNULLNULL
B1.21.5NULLNULL NULLNULLC1NULL NULL
2315NULLNULLNULLNULLD296
NULLNULLNULLNULLNULLNULLNULL等等

能找到的唯一搜索信息需要每次手动加入 B 并排除 B.code 的先前值(正如我目前正在做的那样),或使用 PIVOT 表(动态 SQL 或否则),它必须为 B.code 的每个可能值(如上所述,有数百个值)有一列,这两个选项都不是可扩展的选项。

作为参考,我的代码现在看起来像这样:

SELECT
T.id,
b1.code as 'CODE 1', b2.code as 'CODE 2', b3.code as 'CODE 3', b4.code as 'CODE 4' (etc)
FROM T
LEFT JOIN B b1 ON b1.code = 
  (SELECT TOP 1 code FROM B WHERE B.t_id = T.id)
LEFT JOIN B b2 ON b2.code = 
  (SELECT TOP 1 code FROM B WHERE B.t_id = T.id AND B.code NOT IN (b1.code))
LEFT JOIN B b3 ON b3.code = 
  (SELECT TOP 1 code FROM B WHERE B.t_id = T.id AND B.code NOT IN (b1.code, b2.code))
LEFT JOIN B b4 ON b4.code = 
  (SELECT TOP 1 code FROM B WHERE B.t_id = T.id AND B.code NOT IN (b1.code, b2.code, b3.code))

我的选择是什么?我注定了吗?一定有更好的方法,对吗?

I have two tables with data, let's call them table T and table B. Relevant data in T and B have a many-to-one relationship with each other, like this:

T.idB.code
A1
A1.2
B1.2
B1.5
C1
C2
C3
C15
D296

etc. (This is just a rough demonstration and doesn't resemble the actual data I'm using).

I've run a count(*) query and found that the most number of times items from table T appear in table B is 8. What I want is to transpose the above table, which has thousands and thousands of entries in T and several hundred possible entries for B's corresponding value, into a 9-column table, like this:

T.idCODE 1CODE 2CODE 3CODE 4CODE 5CODE 6CODE 7CODE 8
A11.2NULLNULLNULLNULLNULLNULL
B1.21.5NULLNULLNULLNULLNULLNULL
C12315NULLNULLNULLNULL
D296NULLNULLNULLNULLNULLNULLNULL

etc.

The only search info I can find requires either manually joining B each time and excluding previous values of B.code (as I'm currently doing it), or using a PIVOT table (dynamic SQL or otherwise), which would necessarily have one column for each and every possible value of B.code (which, as mentioned, is several hundred values), neither of which are scalable options.

For reference, my code right now looks something like this:

SELECT
T.id,
b1.code as 'CODE 1', b2.code as 'CODE 2', b3.code as 'CODE 3', b4.code as 'CODE 4' (etc)
FROM T
LEFT JOIN B b1 ON b1.code = 
  (SELECT TOP 1 code FROM B WHERE B.t_id = T.id)
LEFT JOIN B b2 ON b2.code = 
  (SELECT TOP 1 code FROM B WHERE B.t_id = T.id AND B.code NOT IN (b1.code))
LEFT JOIN B b3 ON b3.code = 
  (SELECT TOP 1 code FROM B WHERE B.t_id = T.id AND B.code NOT IN (b1.code, b2.code))
LEFT JOIN B b4 ON b4.code = 
  (SELECT TOP 1 code FROM B WHERE B.t_id = T.id AND B.code NOT IN (b1.code, b2.code, b3.code))

What are my options? Am I doomed? There has to be a better way, right?

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评论(2

⊕婉儿 2025-01-22 01:07:48

您想要最终的查询是:

;WITH x AS 
 (
   SELECT [T.id], Code, rn = ROW_NUMBER() OVER 
     (PARTITION BY [T.id] ORDER BY @@SPID)
   FROM dbo.B
 ) SELECT [T.id], [CODE 1] = p.[1],[CODE 2] = p.[2], ... 
   FROM x
   PIVOT (MAX(Code) FOR rn IN 
   ([1],[2],...)) AS p;

但是您需要动态 SQL 才能到达那里,而不必硬编码 ...Code 8 或添加 Code 9 当另一个代码添加到表中时:

DECLARE @sql     nvarchar(max) = N'',
  @outputColumns nvarchar(max),
  @pivotColumns  nvarchar(max),
  @maxCount      int = (SELECT MAX(c) FROM 
    (SELECT COUNT(*) FROM dbo.B GROUP BY [T.id]) AS c(c));

;WITH x(n) AS (SELECT 1 UNION ALL SELECT n+1
  FROM x WHERE n < @maxCount)
SELECT @outputColumns = STRING_AGG(CONCAT('[CODE ',n,
                        '] = p.',QUOTENAME(n)), ','),
       @pivotColumns  = STRING_AGG(QUOTENAME(n), N',')
 FROM x;
 
 SELECT @sql = N';WITH x AS 
 (
   SELECT [T.id], Code, rn = ROW_NUMBER() OVER 
    (PARTITION BY [T.id] ORDER BY @@SPID)
   FROM dbo.B
 ) SELECT [T.id], ' + @outputColumns + N' 
   FROM x
   PIVOT (MAX(Code) FOR rn IN 
   (' + @pivotColumns + N')) AS p;';
 
 EXEC sys.sp_executesql @sql;

输出(来自问题中的示例数据):

<表类=“s-表”>
<标题>

T.id
代码 1
代码 2
代码 3
代码 4


<正文>

A
1
1.2

B
1.2
1.5

C
1
2
3
15

D
296


The query you want to end up with is:

;WITH x AS 
 (
   SELECT [T.id], Code, rn = ROW_NUMBER() OVER 
     (PARTITION BY [T.id] ORDER BY @@SPID)
   FROM dbo.B
 ) SELECT [T.id], [CODE 1] = p.[1],[CODE 2] = p.[2], ... 
   FROM x
   PIVOT (MAX(Code) FOR rn IN 
   ([1],[2],...)) AS p;

But you need dynamic SQL to get there without having to hardcode ...Code 8 or add Code 9 when another code gets added to the table:

DECLARE @sql     nvarchar(max) = N'',
  @outputColumns nvarchar(max),
  @pivotColumns  nvarchar(max),
  @maxCount      int = (SELECT MAX(c) FROM 
    (SELECT COUNT(*) FROM dbo.B GROUP BY [T.id]) AS c(c));

;WITH x(n) AS (SELECT 1 UNION ALL SELECT n+1
  FROM x WHERE n < @maxCount)
SELECT @outputColumns = STRING_AGG(CONCAT('[CODE ',n,
                        '] = p.',QUOTENAME(n)), ','),
       @pivotColumns  = STRING_AGG(QUOTENAME(n), N',')
 FROM x;
 
 SELECT @sql = N';WITH x AS 
 (
   SELECT [T.id], Code, rn = ROW_NUMBER() OVER 
    (PARTITION BY [T.id] ORDER BY @@SPID)
   FROM dbo.B
 ) SELECT [T.id], ' + @outputColumns + N' 
   FROM x
   PIVOT (MAX(Code) FOR rn IN 
   (' + @pivotColumns + N')) AS p;';
 
 EXEC sys.sp_executesql @sql;

Output (from sample data in the question):

T.idCODE 1CODE 2CODE 3CODE 4
A11.2nullnull
B1.21.5nullnull
C12315
D296nullnullnull
咋地 2025-01-22 01:07:48

未经测试,但这也许会有所帮助

Select *
 From (
        Select T.id
              ,B.Code
              ,Col = concat('Code ',row_number() over (partition by T.id order by B.code) )
         From T
         Join B on B.ID=T.ID
      ) src
 Pivot (max(Code) for Col in ([Code 1],
                              [Code 2],
                              [Code 3],
                              [Code 4],
                              [Code 5],
                              [Code 6],
                              [Code 7],
                              [Code 8]) ) pvt

Untested, but perhaps this will help

Select *
 From (
        Select T.id
              ,B.Code
              ,Col = concat('Code ',row_number() over (partition by T.id order by B.code) )
         From T
         Join B on B.ID=T.ID
      ) src
 Pivot (max(Code) for Col in ([Code 1],
                              [Code 2],
                              [Code 3],
                              [Code 4],
                              [Code 5],
                              [Code 6],
                              [Code 7],
                              [Code 8]) ) pvt
~没有更多了~
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