我有一个像这样的值的表:
Date(in YMD) Column1 Column2
2013-08-08 0 6
2013-08-08 1 87
2013-08-08 2.8 23
2013-08-08 3.87 12
2013-08-08 0.111 65
2013-08-08 5 98
2013-08-08 7.876 67
2013-08-09 4.32 8
2013-08-09 4 2
2013-08-09 76.05 100
2013-08-09 32 9
我想在column1的范围内得到column2的总和(即添加列在column1范围内的column2值)。所以结果是这样的:
[0-1] 158
[1-2] 0
[2-3] 23
[3-4] 14
[4-5] 106
[5-6] 0
[6-7] 0
[7-8] 67
[8-9] 0
[10+] 109
最初我用以下查询得到了这个结果,它运行正常。
SELECT [Range], [TotalSum] FROM
(
SELECT
CASE WHEN Column1 >= 0 AND Column1 <= 1 THEN '[0-1]'
WHEN Column1 > 1 AND Column1 <= 2 THEN '[1-2]'
WHEN Column1 > 2 AND Column1 <= 3 THEN '[2-3]'
WHEN Column1 > 3 AND Column1 <= 4 THEN '[3-4]'
WHEN Column1 > 4 AND Column1 <= 5 THEN '[4-5]'
WHEN Column1 > 5 AND Column1 <= 6 THEN '[5-6]'
WHEN Column1 > 6 AND Column1 <= 7 THEN '[6-7]'
WHEN Column1 > 7 AND Column1 <= 8 THEN '[7-8]'
WHEN Column1 > 8 AND Column1 <= 9 THEN '[8-9]'
WHEN Column1 > 9 AND Column1 <= 10 THEN '[9-10]'
ELSE '[10+]' END [Range],
SUM(Column2) [TotalSum]
FROM dbo.table
GROUP BY
CASE WHEN Column1 >= 0 AND Column1 <= 1 THEN '[0-1]'
WHEN Column1 > 1 AND Column1 <= 2 THEN '[1-2]'
WHEN Column1 > 2 AND Column1 <= 3 THEN '[2-3]'
WHEN Column1 > 3 AND Column1 <= 4 THEN '[3-4]'
WHEN Column1 > 4 AND Column1 <= 5 THEN '[4-5]'
WHEN Column1 > 5 AND Column1 <= 6 THEN '[5-6]'
WHEN Column1 > 6 AND Column1 <= 7 THEN '[6-7]'
WHEN Column1 > 7 AND Column1 <= 8 THEN '[7-8]'
WHEN Column1 > 8 AND Column1 <= 9 THEN '[8-9]'
WHEN Column1 > 9 AND Column1 <= 10 THEN '[9-10]'
ELSE '[10+]' END
) t1
ORDER BY
CASE [Range]
WHEN '[0-1]' THEN 0
WHEN '[1-2]' THEN 1
WHEN '[2-3]' THEN 2
WHEN '[3-4]' THEN 3
WHEN '[4-5]' THEN 4
WHEN '[5-6]' THEN 5
WHEN '[6-7]' THEN 6
WHEN '[7-8]' THEN 7
WHEN '[8-9]' THEN 8
WHEN '[9-10]' THEN 9
WHEN '[10+]' THEN 10
END
现在我有一个要求,我必须应用过滤器,例如说“2013-08-09'和'2013-08-09'之间的日期” 虽然这会返回正确的值,但仅适用于数据可用的范围,即[3-4],[4-5]和[10+]
请问您是否有办法获得所有范围并在TotalSum列中显示0,其中该范围没有行。
我应该在此查询中做出哪些更改,以显示TotalSum列中包含值的所有范围值(它应该是0或该范围的column2的总和)。
如果您有任何其他想法,请建议。任何帮助将不胜感激。
答案 0 :(得分:1)
with cte as (
select 0 as rng_start, 1 as rng_end
union all
select
rng_end as rng_start,
case when rng_end = 10 then null else rng_end + 1 end as rng_end
from cte
where rng_end <= 10
), cte2 as (
select
'[' + cast(c.rng_start as nvarchar(max)) +
isnull('-' + cast(c.rng_end as nvarchar(max)), '+') + ']' as rng_str,
case when c.rng_start = 0 then -1 else c.rng_start end as rng_start,
c.rng_end
from cte as c
)
select
c.rng_str,
isnull(sum(t.column2), 0)
from cte2 as c
left outer join Table1 as t on
t.column1 > c.rng_start and
(t.column1 <= c.rng_end or c.rng_end is null) and
t.[Date] between '2013-08-09' and '2013-08-09'
group by c.rng_str, c.rng_start
order by c.rng_start