我有查询显示如下表:
但我希望PIVOT
将bulan
和表格结果分组,如下所示:
这是我用来获取当前结果的查询:
SELECT
month([date]) as bulan,
[type] as tipe,
SUM([net qty]) total_karton,
CAST(SUM([cm1 (rp)]) as decimal) as total_uang
FROM
tbl_weeklyflash_ID
WHERE
DATEDIFF(month,[date],CURRENT_TIMESTAMP) between 0 and 2
GROUP BY
month([date]),
[type]
ORDER BY
month([date]), [type]
答案 0 :(得分:1)
这不是确切的解决方案。如果你有每组的行数总是不变的 如示例所示(本例中为5),您可以执行以下操作..
declare @row_count int =6;
with cte as(
select month([date]) as bulan,
[type] as tipe,
SUM([net qty]) total_karton,
CAST(SUM([cm1 (rp)]) as decimal) as total_uang,row_number() over(order
by month([date]),[type]) as rnk
from tbl_weeklyflash_ID
WHERE
DATEDIFF(month,[date],CURRENT_TIMESTAMP) between 0 and 2
GROUP BY
month([date]),
[type]
)
select * from cte T1 join cte T2
on T1.rnk= T2.rnk-@row_count
and t1.rnk between 1 and @row_count
join cte T3
on T2.rnk= T3.rnk-@row_count
and t2.rnk between 1*@row_count+1 and 2*@row_count
在这里你必须添加与组数一样多的连接条件。
答案 1 :(得分:1)
如果每组的行数是动态的,但组的数量总是3,那么试试这段代码
;with maintable as (select month([date]) m_date,row_number() over(order by count(*) desc) row_num from tbl_weeklyflash_ID WHERE DATEDIFF(month,[date],CURRENT_TIMESTAMP) between 0 and 2
group by month([date])),
t1 as ( select month([date]) as bulan, [type] as tipe,SUM([net qty]) total_karton, CAST(SUM([cm1 (rp)]) as decimal) as total_uang,row_number() over(order by month([date])) as slno from tbl_weeklyflash_ID where month([date]) =(select m_date from maintable where row_num=1) GROUP BY month([date]), [type]) ,
t2 as ( select month([date]) as bulan, [type] as tipe,SUM([net qty]) total_karton, CAST(SUM([cm1 (rp)]) as decimal) as total_uang,row_number() over(order by month([date])) as slno from tbl_weeklyflash_ID where month([date]) =(select m_date from maintable where row_num=2) GROUP BY month([date]), [type]),
t3 as ( select month([date]) as bulan, [type] as tipe,SUM([net qty]) total_karton, CAST(SUM([cm1 (rp)]) as decimal) as total_uang,row_number() over(order by month([date])) as slno from tbl_weeklyflash_ID where month([date]) =(select m_date from maintable where row_num=3) GROUP BY month([date]), [type])
select t1.tipe,t1.total_karton [karton1],t1.total_uang [uang1],t2.total_karton [karton2],t2.total_uang [uang2],t3.total_karton [karton3],t3.total_uang [uang3]
from t1 full outer join t2
on t1.slno=t2.slno
full outer join t3
on t2.slno =t3.slno