SQL Pivot具有动态生成的列,聚合函数和没有聚合的列

Question

SQL Pivot具有动态生成的列,聚合函数和没有聚合的列

Jol*_*per 6 sql t-sql pivot unpivot sql-server-2014

我有以下查询:

WITH preEKBE AS(
SELECT 
        EKPO . MANDT,
        EKPO . EBELN,
        EKPO . EBELP,
        DD07T.DDTEXT AS c_Meaning,
        EKBE . VGABE,
        EKBE . DMBTR,
        EKBE . MENGE, 
        COUNT(VGABE) OVER(PARTITION BY EKBE . EBELN, EKBE . EBELP, ZEKKN) AS c_COUNT,
        CONVERT (varchar(10),MIN(EKBE . BLDAT) OVER ( PARTITION BY EKBE . EBELN, EKBE . EBELP, EKBE . VGABE),104) AS c_EBKE_BLDAT_First,
        CONVERT (varchar(10),MIN(EKBE . BUDAT) OVER ( PARTITION BY EKBE . EBELN, EKBE . EBELP, EKBE . VGABE),104) AS c_EKBE_BUDAT_First,
        CONVERT (varchar(10),MAX(EKBE . BLDAT) OVER ( PARTITION BY EKBE . EBELN, EKBE . EBELP, EKBE . VGABE),104) AS c_EBKE_BLDAT_Last,
        CONVERT (varchar(10),MAX(EKBE . BUDAT) OVER ( PARTITION BY EKBE . EBELN, EKBE . EBELP, EKBE . VGABE),104) AS c_EKBE_BUDAT_Last
        FROM EKPO

LEFT JOIN EKKO 
        ON EKPO . MANDT = EKKO . MANDT
        AND EKPO . EBELN = EKKO . EBELN

LEFT JOIN EKBE
        ON EKPO . MANDT = EKBE . MANDT
        AND EKPO . EBELN = EKBE . EBELN
        AND EKPO . EBELP = EKBE . EBELP

LEFT JOIN DD07T
        ON DD07T . DOMNAME = 'VGABE'
        AND DD07T . DOMVALUE_L = EKBE.VGABE
        AND DD07T . DDLANGUAGE = 'D'
)

SELECT * INTO #preEKBE FROM preEKBE
ORDER BY EBELN , EBELP

Run Code Online (Sandbox Code Playgroud)

它生成了我这张桌子

+-------+------------+-------+-----------------------------+-------+---------+----------+---------+--------------------+--------------------+-------------------+-------------------+
| MANDT |   EBELN    | EBELP |          c_Meaning          | VGABE |  DMBTR  |  MENGE   | c_COUNT | c_EBKE_BLDAT_First | c_EKBE_BUDAT_First | c_EBKE_BLDAT_Last | c_EKBE_BUDAT_Last |
+-------+------------+-------+-----------------------------+-------+---------+----------+---------+--------------------+--------------------+-------------------+-------------------+
|   800 | 3000000004 | 00001 | Wareneingang                |     1 | 27.95   | 1.000    |       1 | 19.12.2000         | 19.12.2000         | 19.12.2000        | 19.12.2000        |
|   800 | 3000000004 | 00001 | Rechnungseingang            |     2 | 27.95   | 1.000    |       1 | 19.12.2000         | 21.12.2000         | 19.12.2000        | 21.12.2000        |
|   800 | 3000000004 | 00002 | Wareneingang                |     1 | 10.95   | 1.000    |       1 | 19.12.2000         | 19.12.2000         | 19.12.2000        | 19.12.2000        |
|   800 | 3000000004 | 00002 | Rechnungseingang            |     2 | 10.95   | 1.000    |       1 | 19.12.2000         | 21.12.2000         | 19.12.2000        | 21.12.2000        |
|   800 | 4500008499 | 00010 | Wareneingang                |     1 | 268.43  | 1.000    |       1 | 27.03.2000         | 27.03.2000         | 27.03.2000        | 27.03.2000        |
|   800 | 4500008499 | 00010 | Leistungserfassungsblatt    |     9 | 268.43  | 1.000    |       1 | 27.03.2000         | 27.03.2000         | 27.03.2000        | 27.03.2000        |
|   800 | 4500010470 | 00010 | Wareneingang                |     1 | 0.00    | 1092.000 |       6 | 07.02.2001         | 07.02.2001         | 07.02.2001        | 07.02.2001        |
|   800 | 4500010470 | 00010 | Wareneingang                |     1 | 0.00    | 3512.000 |       6 | 07.02.2001         | 07.02.2001         | 07.02.2001        | 07.02.2001        |
|   800 | 4500010470 | 00010 | Warenausgabe für Umlagerung |     6 | 1615.52 | 3512.000 |       6 | 07.02.2001         | 07.02.2001         | 07.02.2001        | 07.02.2001        |
|   800 | 4500010470 | 00010 | Warenausgabe für Umlagerung |     6 | 502.32  | 1092.000 |       6 | 07.02.2001         | 07.02.2001         | 07.02.2001        | 07.02.2001        |
|   800 | 4500010470 | 00010 | Lieferung zu Umlagerung     |     8 | 0.00    | 1092.000 |       6 | 01.01.1900         | 07.02.2001         | 01.01.1900        | 07.02.2001        |
|   800 | 4500010470 | 00010 | Lieferung zu Umlagerung     |     8 | 0.00    | 3512.000 |       6 | 01.01.1900         | 07.02.2001         | 01.01.1900        | 07.02.2001        |
+-------+------------+-------+-----------------------------+-------+---------+----------+---------+--------------------+--------------------+-------------------+-------------------+

Run Code Online (Sandbox Code Playgroud)

现在我有了一个部分有效的动态Pivot.

DECLARE @cols AS NVARCHAR(MAX),
        @query  AS NVARCHAR(MAX)

select @cols = STUFF((SELECT ',' + QUOTENAME(col + '_' + VGABE) 
                    from #preEKBE t
                    cross apply
                    (                    
                      select 'c_DMBTR', 1 union all
                      select 'c_MENGE', 2 union all
                      select 'c_COUNT', 3     
                    ) c (col, so)
                    group by col, so, VGABE
                    order by VGABE, so
            FOR XML PATH(''), TYPE
            ).value('.', 'NVARCHAR(MAX)') 
        ,1,1,'')

set @query 
  = 'SELECT EBELN, EBELP,' + @cols + N' 
     from
     (
      select
        t.EBELN,
        t.EBELP,
        new_col = c.orig_col + ''_'' + VGABE,
        c.value
      from #preEKBE t

      cross apply
      (
        select ''c_MENGE'', t.MENGE union all
        select ''c_DMBTR'', t.DMBTR union all
        select ''c_COUNT'', t.c_COUNT 
      ) c (orig_col, value)
     ) x
     pivot 
     (
       sum(value)
       for new_col in (' + @cols + N')
     ) p 
     order by EBELN , EBELP' 
exec sp_executesql @query;

Run Code Online (Sandbox Code Playgroud)

给我一个结果:

+------------+-------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+
|   EBELN    | EBELP | c_DMBTR_1 | c_MENGE_1 | c_COUNT_1 | c_DMBTR_2 | c_MENGE_2 | c_COUNT_2 | c_DMBTR_6 | c_MENGE_6 | c_COUNT_6 | c_DMBTR_7 | c_MENGE_7 | c_COUNT_7 | c_DMBTR_8 | c_MENGE_8 | c_COUNT_8 | c_DMBTR_9 | c_MENGE_9 | c_COUNT_9 | c_DMBTR_P | c_MENGE_P | c_COUNT_P | c_DMBTR_R | c_MENGE_R | c_COUNT_R |
+------------+-------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+
| 3000000004 | 00001 | 27.950    | 1.000     | 1.000     | 27.950    | 1.000     | 1.000     | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      |
| 3000000004 | 00002 | 10.950    | 1.000     | 1.000     | 10.950    | 1.000     | 1.000     | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      | NULL      |
+------------+-------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+

Run Code Online (Sandbox Code Playgroud)

我需要查询是动态的,因为Column VGABE要创建新的列名,并且可能存在未使用的值,我只想要使用的VGABE值.

现在的问题是我想添加更多列,这些列也应该动态生成.如果有一个VGABE1而不是我需要一个被调用的列c_Meaning_1 (nvarchar),它将具有来自连接的值DD07T.

每个记录c_COUNT_的每个VGABE值的计数的代表.这个专栏很完美.

在这些列之后,我还需要在新列名的末尾添加列 c_BLDAT_First_,c_BUDAT_First_和c_BLDAT_Last_,以及连接c_BUDAT_Last_值VGABE.该值在CTE中计算.

有没有办法在没有临时表的情况下直接使用CTE？

我不知道如何解决这个问题,因为我正在处理多种数据类型,并且每种数据类型的汇总方式都不同.当有值1和9时,VGABE它应该如下所示:

+---------------+-----------+-----------+-----------+----------------------+----------------------+---------------------+---------------------+---------------------------+------------+-----------+-----------+----------------------+----------------------+---------------------+---------------------+
|  C_MEANING_1  | C_DMBTR_1 | C_MENGE_1 | C_COUNT_1 | C_EBKE_BLDAT_FIRST_1 | C_EKBE_BUDAT_FIRST_1 | C_EBKE_BLDAT_LAST_1 | C_EKBE_BUDAT_LAST_1 |        C_MEANING_9        | C_DMBTR_9  | C_MENGE_9 | C_COUNT_9 | C_EBKE_BLDAT_FIRST_9 | C_EKBE_BUDAT_FIRST_9 | C_EBKE_BLDAT_LAST_9 | C_EKBE_BUDAT_LAST_9 |
+---------------+-----------+-----------+-----------+----------------------+----------------------+---------------------+---------------------+---------------------------+------------+-----------+-----------+----------------------+----------------------+---------------------+---------------------+
| Wareneingang: | 10,00     |         1 |         1 | 19.12.2000           | 19.12.2000           | 19.12.2000          | 19.12.2000          | Leistungserfassungsblatt: |          0 |         0 |         0 | NULL                 | NULL                 | NULL                | NULL                |
| Wareneingang: | 0         |         0 |         0 | NULL                 | NULL                 | NULL                | NULL                | Leistungserfassungsblatt: |         20 |         2 |         1 | 19.12.2000           | 19.12.2000           | 19.12.2000          | 19.12.2000          |
+---------------+-----------+-----------+-----------+----------------------+----------------------+---------------------+---------------------+---------------------------+------------+-----------+-----------+----------------------+----------------------+---------------------+---------------------+

Run Code Online (Sandbox Code Playgroud)

对于每个VGABE值,应按上面给出的顺序存在自己的列.如果您需要进一步的信息,请问我.我正在使用SQL Server 2014与SQL Management Studio 2014和TSQL.

Answer 1

Tar*_*ryn 8

那么你在这里有点麻烦,因为你想把多行的多列转换成更多的列,最重要的是你需要为每个列使用不同的聚合,因为你需要使用其中的一些,而你需要SUM其他的将不得不使用MAX或MIN(在字符串/日期).

而不是潜入动态sql版本,你应该总是尝试使用较小版本的静态查询来获得正确的逻辑.在我看来,这使得动态SQL的使用变得更加容易,因为您不会猜测要做什么或做什么不正常.

我首先从一个查询开始,获取SUM所需的每个项目的总和.

select ebeln, ebelp, 
  c_Meaning, 
  vgabe, 
  dmbtr = cast(sum(dmbtr) over(partition by ebeln, ebelp, vgabe) as varchar(50)),
  menge = cast(sum(menge) over(partition by ebeln, ebelp, vgabe) as varchar(50)),
  c_count = cast(sum(c_count) over(partition by ebeln, ebelp, vgabe) as varchar(50)),
  c_EBKE_BLDAT_First = cast(c_EBKE_BLDAT_First as varchar(50)), 
  c_EKBE_BUDAT_First = cast(c_EKBE_BUDAT_First as varchar(50)),
  c_EBKE_BLDAT_Last = cast(c_EBKE_BLDAT_Last as varchar(50)),
  c_EKBE_BUDAT_Last = cast(c_EKBE_BUDAT_Last as varchar(50))
from preEKBE

Run Code Online (Sandbox Code Playgroud)

请参阅SQL Fiddle with Demo.该得到的一切,因为你是在组合得到的总和,你需要在最终结果中的值ebeln,ebelp和vgabe.您将看到我还将所有值转换为相同的数据类型 - 这对于下一步 - unpivot是必需的.由于所有数据都将存储在同一列中,因此它们需要相同的数据类型.

select d.ebeln, d.ebelp,
  new_col = c.orig_col + '_' + cast(d.vgabe as varchar(2)),
  c.value
from
(
  select ebeln, ebelp, 
    c_Meaning, 
    vgabe, 
    dmbtr = cast(sum(dmbtr) over(partition by ebeln, ebelp, vgabe) as varchar(50)),
    menge = cast(sum(menge) over(partition by ebeln, ebelp, vgabe) as varchar(50)),
    c_count = cast(sum(c_count) over(partition by ebeln, ebelp, vgabe) as varchar(50)),
    c_EBKE_BLDAT_First = cast(c_EBKE_BLDAT_First as varchar(50)), 
    c_EKBE_BUDAT_First = cast(c_EKBE_BUDAT_First as varchar(50)),
    c_EBKE_BLDAT_Last = cast(c_EBKE_BLDAT_Last as varchar(50)),
    c_EKBE_BUDAT_Last = cast(c_EKBE_BUDAT_Last as varchar(50))
  from preEKBE
) d
cross apply 
(
  select 'c_Meaning', c_Meaning union all
  select 'c_MENGE', menge union all
  select 'c_DMBTR', dmbtr union all
  select 'c_count', c_count union all
  select 'c_EBKE_BLDAT_First', c_EBKE_BLDAT_First union all
  select 'c_EKBE_BUDAT_First', c_EKBE_BUDAT_First union all
  select 'c_EBKE_BLDAT_Last', c_EBKE_BLDAT_Last union all
  select 'c_EKBE_BUDAT_Last', c_EKBE_BUDAT_Last
) c (orig_col, value)

Run Code Online (Sandbox Code Playgroud)

请参阅SQL Fiddle with Demo.现在你有了这样的数据:

|      EBELN | EBELP |              NEW_COL |                       VALUE |
|------------|-------|----------------------|-----------------------------|
| 3000000004 |     1 |          c_Meaning_1 |                Wareneingang |
| 3000000004 |     1 |            c_MENGE_1 |                           1 |
| 3000000004 |     1 |            c_DMBTR_1 |                       27.95 |
| 3000000004 |     1 |            c_count_1 |                           1 |
| 3000000004 |     1 | c_EBKE_BLDAT_First_1 |                  19.12.2000 |
| 3000000004 |     1 | c_EKBE_BUDAT_First_1 |                  19.12.2000 |

Run Code Online (Sandbox Code Playgroud)

最后,您将应用PIVOT功能:

select ebeln, 
  ebelp,
  c_Meaning_1, c_MENGE_1, c_DMBTR_1, c_count_1,
  c_EBKE_BLDAT_First_1, c_EKBE_BUDAT_First_1,
  c_EBKE_BLDAT_Last_1, c_EKBE_BUDAT_Last_1
from
(
  select d.ebeln, d.ebelp,
    new_col = c.orig_col + '_' + cast(d.vgabe as varchar(2)),
    c.value
  from
  (
    select ebeln, ebelp, 
      c_Meaning, 
      vgabe, 
      dmbtr = cast(sum(dmbtr) over(partition by ebeln, ebelp, vgabe) as varchar(50)),
      menge = cast(sum(menge) over(partition by ebeln, ebelp, vgabe) as varchar(50)),
      c_count = cast(sum(c_count) over(partition by ebeln, ebelp, vgabe) as varchar(50)),
      c_EBKE_BLDAT_First = cast(c_EBKE_BLDAT_First as varchar(50)), 
      c_EKBE_BUDAT_First = cast(c_EKBE_BUDAT_First as varchar(50)),
      c_EBKE_BLDAT_Last = cast(c_EBKE_BLDAT_Last as varchar(50)),
      c_EKBE_BUDAT_Last = cast(c_EKBE_BUDAT_Last as varchar(50))
    from preEKBE
  ) d
  cross apply 
  (
    select 'c_Meaning', c_Meaning union all
    select 'c_MENGE', menge union all
    select 'c_DMBTR', dmbtr union all
    select 'c_count', c_count union all
    select 'c_EBKE_BLDAT_First', c_EBKE_BLDAT_First union all
    select 'c_EKBE_BUDAT_First', c_EKBE_BUDAT_First union all
    select 'c_EBKE_BLDAT_Last', c_EBKE_BLDAT_Last union all
    select 'c_EKBE_BUDAT_Last', c_EKBE_BUDAT_Last
  ) c (orig_col, value)
) src
pivot
(
  max(value)
  for new_col in (c_Meaning_1, c_MENGE_1, c_DMBTR_1, c_count_1,
                  c_EBKE_BLDAT_First_1, c_EKBE_BUDAT_First_1,
                  c_EBKE_BLDAT_Last_1, c_EKBE_BUDAT_Last_1)
) piv;

Run Code Online (Sandbox Code Playgroud)

请参阅SQL Fiddle with Demo.

既然你有工作逻辑,你可以将它转换为动态sql:

DECLARE @cols AS NVARCHAR(MAX),
        @query  AS NVARCHAR(MAX)

select @cols = STUFF((SELECT ',' + QUOTENAME(col + '_' + cast(VGABE as varchar(2))) 
                    from preEKBE t
                    cross apply
                    (   
                      select 'c_meaning', 0 union all
                      select 'c_DMBTR', 1 union all
                      select 'c_MENGE', 2 union all
                      select 'c_COUNT', 3 union all
                      select 'c_EBKE_BLDAT_FIRST', 4 union all
                      select 'c_EKBE_BUDAT_FIRST', 5 union all
                      select 'c_EBKE_BLDAT_LAST', 6 union all
                      select 'c_EKBE_BUDAT_LAST', 7
                    ) c (col, so)
                    group by col, so, VGABE
                    order by VGABE, so
            FOR XML PATH(''), TYPE
            ).value('.', 'NVARCHAR(MAX)') 
        ,1,1,'')


set @query 
  = 'SELECT EBELN, EBELP, ' + @cols + N' 
     from
     (
      select d.ebeln, 
        d.ebelp,
        new_col = c.orig_col + ''_'' + cast(d.vgabe as varchar(2)),
        c.value
      from
      (
        select ebeln, ebelp, 
          c_Meaning, 
          vgabe, 
          dmbtr = cast(sum(dmbtr) over(partition by ebeln, ebelp, vgabe) as varchar(50)),
          menge = cast(sum(menge) over(partition by ebeln, ebelp, vgabe) as varchar(50)),
          c_count = cast(sum(c_count) over(partition by ebeln, ebelp, vgabe) as varchar(50)),
          c_EBKE_BLDAT_First = cast(c_EBKE_BLDAT_First as varchar(50)), 
          c_EKBE_BUDAT_First = cast(c_EKBE_BUDAT_First as varchar(50)),
          c_EBKE_BLDAT_Last = cast(c_EBKE_BLDAT_Last as varchar(50)),
          c_EKBE_BUDAT_Last = cast(c_EKBE_BUDAT_Last as varchar(50))
        from preEKBE
      ) d
      cross apply
      (
        select ''c_meaning'', d.c_meaning union all
        select ''c_MENGE'', d.MENGE union all
        select ''c_DMBTR'', d.DMBTR union all
        select ''c_COUNT'', d.c_COUNT union all
        select ''c_EBKE_BLDAT_First'', d.c_EBKE_BLDAT_First union all
        select ''c_EKBE_BUDAT_First'', d.c_EKBE_BUDAT_First union all
        select ''c_EBKE_BLDAT_Last'', d.c_EBKE_BLDAT_Last union all
        select ''c_EKBE_BUDAT_Last'', d.c_EKBE_BUDAT_Last
      ) c (orig_col, value)
     ) x
     pivot 
     (
       max(value)
       for new_col in (' + @cols + N')
     ) p 
     order by EBELN , EBELP' 

exec sp_executesql @query;

Run Code Online (Sandbox Code Playgroud)

请参阅SQL Fiddle with Demo.这给出了最终结果:

|      EBELN | EBELP |  C_MEANING_1 | C_DMBTR_1 | C_MENGE_1 | C_COUNT_1 | C_EBKE_BLDAT_FIRST_1 | C_EKBE_BUDAT_FIRST_1 | C_EBKE_BLDAT_LAST_1 | C_EKBE_BUDAT_LAST_1 |      C_MEANING_2 | C_DMBTR_2 | C_MENGE_2 | C_COUNT_2 | C_EBKE_BLDAT_FIRST_2 | C_EKBE_BUDAT_FIRST_2 | C_EBKE_BLDAT_LAST_2 | C_EKBE_BUDAT_LAST_2 |                 C_MEANING_6 | C_DMBTR_6 | C_MENGE_6 | C_COUNT_6 | C_EBKE_BLDAT_FIRST_6 | C_EKBE_BUDAT_FIRST_6 | C_EBKE_BLDAT_LAST_6 | C_EKBE_BUDAT_LAST_6 |             C_MEANING_8 | C_DMBTR_8 | C_MENGE_8 | C_COUNT_8 | C_EBKE_BLDAT_FIRST_8 | C_EKBE_BUDAT_FIRST_8 | C_EBKE_BLDAT_LAST_8 | C_EKBE_BUDAT_LAST_8 |              C_MEANING_9 | C_DMBTR_9 | C_MENGE_9 | C_COUNT_9 | C_EBKE_BLDAT_FIRST_9 | C_EKBE_BUDAT_FIRST_9 | C_EBKE_BLDAT_LAST_9 | C_EKBE_BUDAT_LAST_9 |
|------------|-------|--------------|-----------|-----------|-----------|----------------------|----------------------|---------------------|---------------------|------------------|-----------|-----------|-----------|----------------------|----------------------|---------------------|---------------------|-----------------------------|-----------|-----------|-----------|----------------------|----------------------|---------------------|---------------------|-------------------------|-----------|-----------|-----------|----------------------|----------------------|---------------------|---------------------|--------------------------|-----------|-----------|-----------|----------------------|----------------------|---------------------|---------------------|
| 3000000004 |     1 | Wareneingang |     27.95 |         1 |         1 |           19.12.2000 |           19.12.2000 |          19.12.2000 |          19.12.2000 | Rechnungseingang |     27.95 |         1 |         1 |           19.12.2000 |           21.12.2000 |          19.12.2000 |          21.12.2000 |                      (null) |    (null) |    (null) |    (null) |               (null) |               (null) |              (null) |              (null) |                  (null) |    (null) |    (null) |    (null) |               (null) |               (null) |              (null) |              (null) |                   (null) |    (null) |    (null) |    (null) |               (null) |               (null) |              (null) |              (null) |
| 3000000004 |     2 | Wareneingang |     10.95 |         1 |         1 |           19.12.2000 |           19.12.2000 |          19.12.2000 |          19.12.2000 | Rechnungseingang |     10.95 |         1 |         1 |           19.12.2000 |           21.12.2000 |          19.12.2000 |          21.12.2000 |                      (null) |    (null) |    (null) |    (null) |               (null) |               (null) |              (null) |              (null) |                  (null) |    (null) |    (null) |    (null) |               (null) |               (null) |              (null) |              (null) |                   (null) |    (null) |    (null) |    (null) |               (null) |               (null) |              (null) |              (null) |
| 4500008499 |    10 | Wareneingang |    268.43 |         1 |         1 |           27.03.2000 |           27.03.2000 |          27.03.2000 |          27.03.2000 |           (null) |    (null) |    (null) |    (null) |               (null) |               (null) |              (null) |              (null) |                      (null) |    (null) |    (null) |    (null) |               (null) |               (null) |              (null) |              (null) |                  (null) |    (null) |    (null) |    (null) |               (null) |               (null) |              (null) |              (null) | Leistungserfassungsblatt |    268.43 |         1 |         1 |           27.03.2000 |           27.03.2000 |          27.03.2000 |          27.03.2000 |
| 4500010470 |    10 | Wareneingang |      0.00 |      4604 |        12 |           07.02.2001 |           07.02.2001 |          07.02.2001 |          07.02.2001 |           (null) |    (null) |    (null) |    (null) |               (null) |               (null) |              (null) |              (null) | Warenausgabe für Umlagerung |   2117.84 |      4604 |        12 |           07.02.2001 |           07.02.2001 |          07.02.2001 |          07.02.2001 | Lieferung zu Umlagerung |      0.00 |      4604 |        12 |           01.01.1900 |           07.02.2001 |          01.01.1900 |          07.02.2001 |                   (null) |    (null) |    (null) |    (null) |               (null) |               (null) |              (null) |              (null) |

Run Code Online (Sandbox Code Playgroud)

神圣sh**老兄!你太棒了.这就是我所说的.我尝试使用MAX()进行思考,但在MAX()之前的每个记录都没有SUM().非常好,非常感谢您耐心和时间阅读我的神秘帖子.我想知道如何用c_Meaning中的NULL值解决问题.一旦有一个c_Meaning_1的列,我希望每个记录都有值"Wareneingang:"等等. (4认同)
Markdown没有强调"总是"这个词.有些人似乎根本没有得到它. (2认同)

归档时间：	11 年，2 月前
查看次数：	1217 次
最近记录：	11 年，2 月前