在sql server中选择每10行作为新列
我有一个包含数据的SQL表，如图所示在sql server中选择每10行作为新列,sql,sql-server,group-by,Sql,Sql Server,Group By,我有一个包含数据的SQL表，如图所示 Item Qty ------------ A1 59 A2 76 A3 86 A1 12 A2 17 A3 15 A1 23 A2 39 A3 07 在这里我们可以看到项目是重复的。所以，我想按项目对记录进行分组。 我想得到如下所示的输出表 Item Qty1 Qty2 qty3 ------------------
Item Qty
------------
A1 59
A2 76
A3 86
A1 12
A2 17
A3 15
A1 23
A2 39
A3 07
Item Qty1 Qty2 qty3
----------------------------------
A1 59 12 23
A2 76 17 39
A3 86 15 07
使用带有排名功能的
pivot行数WITH CTE
AS
(
SELECT
Item, QTy, ROW_NUMBER() OVER(PARTITION BY ITem ORDER BY Item) AS RN
FROM tablename
)
SELECT Item, [1] AS Qty1, [2] AS Qty2, [3] AS Qty3
FROM CTE
PIVOT
(
SUM(Qty)
FOR rn IN([1], [2], [3])
) AS p;
| Item | Qty1 | Qty2 | Qty3 |
|------|------|------|------|
| A1 | 59 | 12 | 23 |
| A2 | 39 | 17 | 76 |
| A3 | 86 | 15 | 7 |
如果这些数量不是固定的，并且它们并非始终为3，则需要像这样动态执行：
DECLARE @cols AS NVARCHAR(MAX);
DECLARE @query AS NVARCHAR(MAX);
DECLARE @colNames AS NVARCHAR(MaX);
select @cols = STUFF((SELECT distinct ',' +
QUOTENAME(CAST(RN AS NVARCHAR(10)))
FROM
(
SELECT
Item, QTy, ROW_NUMBER() OVER(PARTITION BY ITem ORDER BY Item) AS RN
FROM tablename ) as t
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '');
select @colNames = STUFF((SELECT distinct ',' +
'[' + CAST(RN AS NVARCHAR(10)) + '] AS Qty' +
CAST(RN AS NVARCHAR(10))
FROM
(
SELECT
Item, QTy, ROW_NUMBER() OVER(PARTITION BY ITem ORDER BY Item) AS RN
FROM tablename ) as t
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '');
SELECT @query = 'WITH CTE
AS
(
SELECT
Item, QTy, ROW_NUMBER() OVER(PARTITION BY ITem ORDER BY Item) AS RN
FROM tablename
)
SELECT Item,' + @colNames + '
FROM CTE
PIVOT
(
SUM(Qty)
FOR rn IN(' + @cols + ')
) AS p;';
execute(@query);
使用带有排名功能的
轴行数
：
WITH CTE
AS
(
SELECT
Item, QTy, ROW_NUMBER() OVER(PARTITION BY ITem ORDER BY Item) AS RN
FROM tablename
)
SELECT Item, [1] AS Qty1, [2] AS Qty2, [3] AS Qty3
FROM CTE
PIVOT
(
SUM(Qty)
FOR rn IN([1], [2], [3])
) AS p;
结果:
| Item | Qty1 | Qty2 | Qty3 |
|------|------|------|------|
| A1 | 59 | 12 | 23 |
| A2 | 39 | 17 | 76 |
| A3 | 86 | 15 | 7 |
如果这些数量不是固定的，并且它们并非始终为3，则需要像这样动态执行：
DECLARE @cols AS NVARCHAR(MAX);
DECLARE @query AS NVARCHAR(MAX);
DECLARE @colNames AS NVARCHAR(MaX);
select @cols = STUFF((SELECT distinct ',' +
QUOTENAME(CAST(RN AS NVARCHAR(10)))
FROM
(
SELECT
Item, QTy, ROW_NUMBER() OVER(PARTITION BY ITem ORDER BY Item) AS RN
FROM tablename ) as t
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '');
select @colNames = STUFF((SELECT distinct ',' +
'[' + CAST(RN AS NVARCHAR(10)) + '] AS Qty' +
CAST(RN AS NVARCHAR(10))
FROM
(
SELECT
Item, QTy, ROW_NUMBER() OVER(PARTITION BY ITem ORDER BY Item) AS RN
FROM tablename ) as t
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '');
SELECT @query = 'WITH CTE
AS
(
SELECT
Item, QTy, ROW_NUMBER() OVER(PARTITION BY ITem ORDER BY Item) AS RN
FROM tablename
)
SELECT Item,' + @colNames + '
FROM CTE
PIVOT
(
SUM(Qty)
FOR rn IN(' + @cols + ')
) AS p;';
execute(@query);
您可以按如下方式使用pivot：
Select * from (
Select *, Qtys = Concat('Qty', Row_Number() over(partition by Item order by Item))
from #itemdata
) a
pivot (max(qty) for qtys in ([Qty1],[Qty2],[Qty3])) p
Declare @cols1 varchar(max)
Declare @query nvarchar(max)
Select @cols1 = stuff((select top (select max(cnt) from (select count(*) cnt from #itemdata group by item ) a) ','+
QuoteName(Concat('Qty', Row_Number() over(order by (select Null)))) from
master..spt_values c1, master..spt_values c2 for xml path('')),1,1,'')
Select @query = ' Select * from (
Select *, Qtys = Concat(''Qty'', Row_Number() over(partition by Item order by Item))
from #itemdata
) a
pivot (max(qty) for qtys in (' + @cols1 + ')) p '
Exec sp_executesql @query
对于动态列表，您可以按如下方式查询：
Select * from (
Select *, Qtys = Concat('Qty', Row_Number() over(partition by Item order by Item))
from #itemdata
) a
pivot (max(qty) for qtys in ([Qty1],[Qty2],[Qty3])) p
Declare @cols1 varchar(max)
Declare @query nvarchar(max)
Select @cols1 = stuff((select top (select max(cnt) from (select count(*) cnt from #itemdata group by item ) a) ','+
QuoteName(Concat('Qty', Row_Number() over(order by (select Null)))) from
master..spt_values c1, master..spt_values c2 for xml path('')),1,1,'')
Select @query = ' Select * from (
Select *, Qtys = Concat(''Qty'', Row_Number() over(partition by Item order by Item))
from #itemdata
) a
pivot (max(qty) for qtys in (' + @cols1 + ')) p '
Exec sp_executesql @query
您可以按如下方式使用pivot：
Select * from (
Select *, Qtys = Concat('Qty', Row_Number() over(partition by Item order by Item))
from #itemdata
) a
pivot (max(qty) for qtys in ([Qty1],[Qty2],[Qty3])) p
Declare @cols1 varchar(max)
Declare @query nvarchar(max)
Select @cols1 = stuff((select top (select max(cnt) from (select count(*) cnt from #itemdata group by item ) a) ','+
QuoteName(Concat('Qty', Row_Number() over(order by (select Null)))) from
master..spt_values c1, master..spt_values c2 for xml path('')),1,1,'')
Select @query = ' Select * from (
Select *, Qtys = Concat(''Qty'', Row_Number() over(partition by Item order by Item))
from #itemdata
) a
pivot (max(qty) for qtys in (' + @cols1 + ')) p '
Exec sp_executesql @query
对于动态列表，您可以按如下方式查询：
Select * from (
Select *, Qtys = Concat('Qty', Row_Number() over(partition by Item order by Item))
from #itemdata
) a
pivot (max(qty) for qtys in ([Qty1],[Qty2],[Qty3])) p
Declare @cols1 varchar(max)
Declare @query nvarchar(max)
Select @cols1 = stuff((select top (select max(cnt) from (select count(*) cnt from #itemdata group by item ) a) ','+
QuoteName(Concat('Qty', Row_Number() over(order by (select Null)))) from
master..spt_values c1, master..spt_values c2 for xml path('')),1,1,'')
Select @query = ' Select * from (
Select *, Qtys = Concat(''Qty'', Row_Number() over(partition by Item order by Item))
from #itemdata
) a
pivot (max(qty) for qtys in (' + @cols1 + ')) p '
Exec sp_executesql @query
是否总是有3个数量atmost？例如，为什么59是Qty1
而不是Qty3
？是否总是有3个数量atmost？例如，为什么59是Qty1
而不是Qty3
？