我已经计算出每个月的平均值。某些月份是NULL
,我的经理希望我使用上一行的值和下一个月份的值,并填写具有NULL
值的月份。
当前结果(见下图):
预期结果
DECLARE @DATE DATE = '2017-01-01';
WITH DATEDIM AS
(
SELECT DISTINCT DTM.FirstDayOfMonth
FROM DATEDIM DTM
WHERE Date >= '01/01/2017'
AND Date <= DATEADD(mm,-1,Getdate())
),
Tab1 AS
(
SELECT
T1.FirstDayOfMonth AS MONTH_START,
AVG1,
ROW_NUMBER() OVER (
ORDER BY DATEADD(MM,DATEDIFF(MM, 0, T1.FirstDayOfMonth),0) DESC
) AS RNK
FROM DATEDIM T1
LEFT OUTER JOIN (
SELECT
DATEADD(MM,DATEDIFF(MM, 0, StartDate),0) MONTH_START,
AVG(CAST(DATEDIFF(dd, StartDate, EndDate) AS FLOAT)) AS AVG1
FROM DATATable
WHERE EndDate >= StartDate
AND StartDate >= @DATE
AND EndDate >= @DATE
GROUP BY DATEADD(MM,DATEDIFF(MM, 0, StartDate),0)
) T2 ON T1.FirstDayOfMonth = T2.MONTH_START
)
SELECT *
FROM Tab1
答案 0 :(得分:1)
使用CTE
select MONTH_START,
case when AVG1 is null then
(select top(1) t2.AVG1
from Tab1 t2
where t1.RNK > t2.RNK and t2.AVG1 is not null
order by t2.RNK desc)
else AVG1 end AVG1,
RNK
from Tab1 t1
修改
版本,用于平均最近的peering和最近的非null。两者都必须存在,否则返回NULL。
select MONTH_START,
case when AVG1 is null then
( (select top(1) t2.AVG1
from Tab1 t2
where t1.RNK > t2.RNK and t2.AVG1 is not null
order by t2.RNK desc)
+(select top(1) t2.AVG1
from Tab1 t2
where t1.RNK < t2.RNK and t2.AVG1 is not null
order by t2.RNK)
) / 2
else AVG1 end AVG1,
RNK
from Tab1 t1
答案 1 :(得分:0)
您可以使用窗口函数来操纵上一行和下一行的值:
SELECT MAX(row_value) OVER(
ORDER BY ... ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS Previous_Value,
MAX(row_value) OVER(
ORDER BY ... ROWS BETWEEN 1 FOLLOWING AND 1 FOLLOWING) AS Next_Value
或者,您可以使用LAG/LEAD
函数并修改子查询,以获取AVG
:
SELECT
src.MONTH_START,
CASE
WHEN src.prev_val IS NULL OR src.next_val IS NULL
THEN COALESCE(src.prev_val, src.next_val) -- Return non-NULL value (if exists)
ELSE (src.prev_val + src.next_val ) / 2
END AS AVG_new
FROM (
SELECT
DATEADD(MM,DATEDIFF(MM, 0, StartDate),0) MONTH_START,
LEAD(CAST(DATEDIFF(dd, StartDate, EndDate) AS FLOAT)) OVER(ORDER BY ...) AS prev_val,
LAG(CAST(DATEDIFF(dd, StartDate, EndDate) AS FLOAT)) OVER(ORDER BY ...) AS next_val
-- AVG(CAST(DATEDIFF(dd, StartDate, EndDate) AS FLOAT)) AS AVG1
FROM DATATable
WHERE EndDate >= StartDate
AND StartDate >= @DATE
AND EndDate >= @DATE
GROUP BY DATEADD(MM,DATEDIFF(MM, 0, StartDate),0)
) AS src
我还没有测试过,但是试一试,看看它是如何工作的。您可能需要在窗口函数的ORDER BY
部分中至少放置一列。
答案 2 :(得分:0)
我不太清楚您要计算的平均值,但是使用窗口函数非常简单:
select t.*,
avg(val) over (order by month_start rows between 1 preceding and 1 rollowing)
from t;
在您的情况下,我认为的意思是:
select datefromparts(year(startdate), month(startdate), 1) as float,
avg(val) as monthaverage,
avg(avg(val)) over (order by min(startdate) rows between 1 preceding and 1 following)
from datatable d
where . . .
group by datefromparts(year(startdate), month(startdate), 1)
答案 3 :(得分:0)
您可以尝试此查询(我只是在示例数据中反映了相关部分,省略了日期列):
declare @tbl table (rank int, value int);
insert into @tbl values
(1, null),
(2, 20),
(3, 30),
(4, null),
(5, null),
(6, null),
(7, 40),
(8, null),
(9, null),
(10, 36),
(11, 22);
;with cte as (
select *,
DENSE_RANK() over (order by case when value is null then rank else value end) drank,
case when value is null then lag(value) over (order by rank) end lag,
case when value is null then lead(value) over (order by rank) end lead
from @tbl
)
select rank, value, case when value is null then
max(lag) over (partition by grp) / 2 +
max(lead) over (partition by grp) / 2
else value end valueWithAvg
from (
select *,
rank - drank grp from cte
) a order by rank