1

我正在尝试为多列获取一个干净的数据透视表。

创建输入表

create table #temp (
  ORDER_ID INT NOT NULL,
  TEST_PLAN INT NOT NULL,
  COLLECTION_TYPE INT NOT NULL,
  TEST_GRP INT NOT NULL,
  TEST INT NOT NULL
)

INSERT INTO #temp (ORDER_ID,TEST_PLAN,COLLECTION_TYPE,TEST_GRP,TEST) VALUES (1,1,2,1360942998,1360943100)
INSERT INTO #temp (ORDER_ID,TEST_PLAN,COLLECTION_TYPE,TEST_GRP,TEST) VALUES (2,1,2,1360943006,1360943079)
INSERT INTO #temp (ORDER_ID,TEST_PLAN,COLLECTION_TYPE,TEST_GRP,TEST) VALUES (1,2,2,1360942845,1360943173)
INSERT INTO #temp (ORDER_ID,TEST_PLAN,COLLECTION_TYPE,TEST_GRP,TEST) VALUES (2,2,2,1360942845,1360943134)
INSERT INTO #temp (ORDER_ID,TEST_PLAN,COLLECTION_TYPE,TEST_GRP,TEST) VALUES (3,2,2,1360942845,1360943189)
INSERT INTO #temp (ORDER_ID,TEST_PLAN,COLLECTION_TYPE,TEST_GRP,TEST) VALUES (1,3,2,1360942998,1360943100)

结果...

ORDER_ID PLAN COLLECTION_TYPE TEST_GRP   TEST        
-------- ---- --------------- ---------- ----------
1        1    2               1360942998 1360943100
2        1    2               1360943006 1360943079
1        2    1               1360942845 1360943173
2        2    1               1360942845 1360943134
3        2    1               1360942845 1360943189
1        3    2               1360942998 1360943100

我想要以下内容，其中 ORDER_ID 附加到 COLLECTION_TYPE、TEST_GRP 和 TEST 列

PLAN COLLECTION_TYPE_1 TEST_GRP_1 TEST_1     COLLECTION_TYPE_2 TEST_GRP_2 TEST_2     COLLECTION_TYPE_3 TEST_GRP_3 TEST_3
---- ----------------- ---------- ---------- ----------------- ---------- ---------- ----------------- ---------- ----------
1    2                 1360942998 1360943100 2                 1360943006 1360943079  NULL              NULL       NULL
2    1                 1360942845 1360943173 1                 1360942845 1360943134 1                 1360942845 1360943189
3    2                 1360942998 1360943100 NULL              NULL       NULL       NULL              NULL       NULL

我有这个并且它可以工作，但正在寻找一些更清洁的东西（例如 Few Nulls）。

DECLARE  @SQL  NVARCHAR(MAX),
         @Cols NVARCHAR(MAX)

SELECT @cols = STUFF((select ',
MAX(CASE WHEN [TEST_PLAN]=' + CONVERT(VARCHAR,[TEST_PLAN]) + ' AND [ORDER_ID] = ' + CONVERT(VARCHAR,[ORDER_ID]) +
' THEN [TEST_GRP] ELSE NULL END) AS [TEST_GRP_' + CONVERT(VARCHAR,[ORDER_ID]) + '],
MAX(CASE WHEN [TEST_PLAN]=' + CONVERT(VARCHAR,[TEST_PLAN]) + ' AND [ORDER_ID] = ' + CONVERT(VARCHAR,[ORDER_ID]) +
' THEN [TEST_GRP] ELSE NULL END) AS [TEST_' + CONVERT(VARCHAR,[ORDER_ID]) + '],
MAX(CASE WHEN [TEST_PLAN]=' + CONVERT(VARCHAR,[TEST_PLAN]) + ' AND [ORDER_ID] = ' + CONVERT(VARCHAR,[ORDER_ID]) +
' THEN [COLLECTION_TYPE] ELSE NULL END) AS [COLLECTION_TYPE_' + CONVERT(VARCHAR,[ORDER_ID]) + ']'
FROM #temp
ORDER BY [TEST_PLAN],[ORDER_ID] FOR XML PATH(''),type).value('.','varchar(max)'),1,2,'')

SET @SQL = 'SELECT TEST_PLAN,' + @Cols + ' FROM #Temp GROUP BY TEST_PLAN'

EXECUTE( @SQL)

有输出...

TEST_PLAN   TEST_GRP_1  TEST_1      COLLECTION_TYPE_1 TEST_GRP_2  TEST_2      COLLECTION_TYPE_2 TEST_GRP_1  TEST_1      COLLECTION_TYPE_1 TEST_GRP_2  TEST_2      COLLECTION_TYPE_2 TEST_GRP_3  TEST_3      COLLECTION_TYPE_3 TEST_GRP_4  TEST_4      COLLECTION_TYPE_4 TEST_GRP_5  TEST_5      COLLECTION_TYPE_5 TEST_GRP_6  TEST_6      COLLECTION_TYPE_6 TEST_GRP_7  TEST_7      COLLECTION_TYPE_7 TEST_GRP_8  TEST_8      COLLECTION_TYPE_8 TEST_GRP_9  TEST_9      COLLECTION_TYPE_9 TEST_GRP_10 TEST_10     COLLECTION_TYPE_10 TEST_GRP_1  TEST_1      COLLECTION_TYPE_1
----------- ----------- ----------- ----------------- ----------- ----------- ----------------- ----------- ----------- ----------------- ----------- ----------- ----------------- ----------- ----------- ----------------- ----------- ----------- ----------------- ----------- ----------- ----------------- ----------- ----------- ----------------- ----------- ----------- ----------------- ----------- ----------- ----------------- ----------- ----------- ----------------- ----------- ----------- ------------------ ----------- ----------- -----------------
1           1360942998  1360942998  2                 1360943006  1360943006  2                 NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL               NULL        NULL        NULL
2           NULL        NULL        NULL              NULL        NULL        NULL              1360942845  1360942845  2                 1360942845  1360942845  2                 1360942845  1360942845  2                 1360942845  1360942845  2                 1360942845  1360942845  2                 1360942845  1360942845  2                 1360942845  1360942845  2                 1360942845  1360942845  2                 1360942845  1360942845  2                 1360942845  1360942845  2                  NULL        NULL        NULL
3           NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL              NULL        NULL        NULL               1360942998  1360942998  2

我已经搜索了最接近上述 sql 的解决方案。

感谢 jlimited

4

1 回答 1

2

为了得到你想要的结果，我必须同时使用UNPIVOT和PIVOT函数。UNPIVOT将从列中获取您的值并将其转换为行，然后获取PIVOT行并将其转换回列。

有时，先使用查询的静态或硬编码版本，然后再转换为动态 SQL 会更容易。静态版本将是：

select [Plan],
  Isnull(COLLECTION_TYPE_1, '') COLLECTION_TYPE_1, 
  Isnull(TEST_GRP_1, '') TEST_GRP_1, 
  Isnull(TEST_1, '') TEST_1,
  Isnull(COLLECTION_TYPE_2, '') COLLECTION_TYPE_2, 
  Isnull(TEST_GRP_2, '') TEST_GRP_2, 
  Isnull(TEST_2, '') TEST_2,
  Isnull(COLLECTION_TYPE_3, '') COLLECTION_TYPE_3, 
  Isnull(TEST_GRP_3, '') TEST_GRP_3, 
  Isnull(TEST_3, '') TEST_3
from
(
  select [PLAN], col + '_'+ cast(ORDER_ID as varchar(50)) col, value
  from
  (
    select ORDER_ID,[PLAN],COLLECTION_TYPE,TEST_GRP,TEST
    from temp
  ) s
  unpivot
  (
    value
    for col in (COLLECTION_TYPE,TEST_GRP,TEST)
  ) unpiv
) src
pivot
(
  max(value)
  for col in (COLLECTION_TYPE_1, TEST_GRP_1, TEST_1,
              COLLECTION_TYPE_2, TEST_GRP_2, TEST_2,
              COLLECTION_TYPE_3, TEST_GRP_3, TEST_3)
) piv

请参阅SQL Fiddle with Demo。

一旦有了静态版本，就可以轻松地将其转换为动态 SQL。生成动态 SQL 时，您可以创建一个列列表，将null值替换为空字符串或其他清除nulls. 动态SQL代码为：

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

select @cols = STUFF((SELECT ',' + QUOTENAME(col + '_'+ cast(ORDER_ID as varchar(50))) 
                    from temp t
                    cross apply 
                    (
                      select 'COLLECTION_TYPE' col, 1 SortOrder
                      union all
                      select 'TEST_GRP' col, 2 SortOrder
                      union all
                      select 'TEST' col, 3 SortOrder
                    ) c
                    group by col, ORDER_ID, sortorder
                    order by ORDER_ID, sortorder
            FOR XML PATH(''), TYPE
            ).value('.', 'NVARCHAR(MAX)') 
        ,1,1,'')

select @colsNames = STUFF((SELECT ', IsNull(' + QUOTENAME(col + '_'+ cast(ORDER_ID as varchar(50)))+', '''') as '+QUOTENAME(col + '_'+ cast(ORDER_ID as varchar(50)))
                    from temp t
                    cross apply 
                    (
                      select 'COLLECTION_TYPE' col, 1 SortOrder
                      union all
                      select 'TEST_GRP' col, 2 SortOrder
                      union all
                      select 'TEST' col, 3 SortOrder
                    ) c
                    group by col, ORDER_ID, sortorder
                    order by ORDER_ID, sortorder
            FOR XML PATH(''), TYPE
            ).value('.', 'NVARCHAR(MAX)') 
        ,1,1,'')

set @query = 'SELECT [PLAN],' + @colsNames + ' from 
             (
                select [PLAN], col + ''_''+ cast(ORDER_ID as varchar(50)) col, value
                from
                (
                  select ORDER_ID,[PLAN],COLLECTION_TYPE,TEST_GRP,TEST
                  from temp
                ) s
                unpivot
                (
                  value
                  for col in (COLLECTION_TYPE,TEST_GRP,TEST)
                ) unpiv
            ) src
            pivot 
            (
                max(value)
                for col in (' + @cols + ')
            ) p '

execute(@query)

请参阅带有演示的 SQL Fiddle

两者都给出结果：

| PLAN | COLLECTION_TYPE_1 | TEST_GRP_1 |     TEST_1 | COLLECTION_TYPE_2 | TEST_GRP_2 |     TEST_2 | COLLECTION_TYPE_3 | TEST_GRP_3 |     TEST_3 |
--------------------------------------------------------------------------------------------------------------------------------------------------
|    1 |                 2 | 1360942998 | 1360943100 |                 2 | 1360943006 | 1360943079 |                 0 |          0 |          0 |
|    2 |                 1 | 1360942845 | 1360943173 |                 1 | 1360942845 | 1360943134 |                 1 | 1360942845 | 1360943189 |
|    3 |                 2 | 1360942998 | 1360943100 |                 0 |          0 |          0 |                 0 |          0 |          0 |
于 2013-02-26T04:43:52.180 回答