我正在尝试为多个列提供干净的数据透视表。
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
我有这个并且它有效，但是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。
由于 jlimited
答案 0 :(得分：2)
为了获得您想要的结果，我必须同时使用UNPIVOT和PIVOT函数。 UNPIVOT将从列中获取值并将其转换为行，PIVOT获取行并将其转换回列。
有时，首先使用静态或硬编码版本的查询然后转换为动态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
拥有静态版本后，您可以轻松将其转换为动态SQL。生成动态SQL时，您可以创建一个列的列表，用空字符串替换null值或清除nulls的另一个值。动态SQL代码是：
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)
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 |