如果系列符合数据顺序
,我想以升序/降序序列选择Min和Max假设我按日期顺序获得数据:
LogDate StartValue EndValue Multiplier DiffValue
2016-02-08 7661.25 7677.62 6.94 16.37
2016-02-09 7677.62 7693.02 6.94 15.4
2016-02-10 7693.02 7709.82 6.94 16.8
2016-02-11 7709.82 7727.08 6.94 17.26
2016-02-12 7727.08 7740.93 6.94 13.85
2016-02-13 3.02 12.22 6.94 9.2
2016-02-14 12.22 20.73 6.94 8.51
2016-02-15 20.73 37.04 6.94 16.31
2016-02-16 37.04 52.56 7 15.52
2016-02-17 52.56 67.82 7 15.26
2016-02-18 67.82 83.66 7 15.84
2016-02-19 83.66 98.77 7 15.11
2016-02-20 98.77 108.37 7 9.61
我希望结果像:
LogDateMin LogDateMax StartValue EndValue Multiplier SumOfDiffValue
2016-02-08 2016-02-12 7661.25 7740.93 6.94 79.68
2016-02-13 2016-02-15 3.02 37.04 6.94 34.02
2016-02-16 2016-02-20 37.04 108.37 7 71.34
这里我也用Multiplier对结果进行分组并得到deffValue的总和
我们如何实现这一目标
请帮忙
答案 0 :(得分:3)
对于SQL Server 2012及更高版本,您可以使用LAG
来确定更改并按此分组。这是一种方式;
WITH cte AS (
SELECT LogDate, StartValue, EndValue, Multiplier, DiffValue,
LAG(EndValue) OVER (ORDER BY LogDate) OldEndValue,
LAG(Multiplier) OVER (ORDER BY LogDate) OldMultiplier
FROM myTable
), cte2 AS (
SELECT LogDate, StartValue, EndValue, Multiplier, DiffValue,
SUM(CASE WHEN OldEndValue > StartValue OR Multiplier <> OldMultiplier
THEN 1 ELSE 0 END) OVER (ORDER BY LogDate) grp
FROM cte
)
SELECT MIN(LogDate) LogDateMin, MAX(LogDate) LogDateMax, MIN(StartValue) StartValue,
MAX(EndValue) EndValue, MAX(Multiplier) Multiplier, SUM(DiffValue) DiffValue
FROM cte2
GROUP BY grp
ORDER BY MIN(LogDate);
第一个CTE只是将EndValue
和Multiplier
的先前值添加到每一行。
第二个CTE对一个检测到你想要的改变的case语句进行运行总和。
主要语句按运行总和进行分组(每次更改都会增加)并计算所需的值。
答案 1 :(得分:1)
编辑:对评论中突出显示的错误进行了非常糟糕的修复:)
CREATE TABLE #Test (
LogDate DATE,
StartValue DECIMAL(6,2),
EndValue DECIMAL(6,2),
Multiplier DECIMAL(3,2),
DiffValue DECIMAL(4,2)
);
INSERT INTO #Test(
LogDate
,StartValue
,EndValue
,Multiplier
,DiffValue
)
VALUES
('2016-02-08', 7661.25, 7677.62, 6.94, 16.37),
('2016-02-09', 7677.62, 7693.02, 6.94, 15.4),
('2016-02-10', 7693.02, 7709.82, 6.94, 16.8),
('2016-02-11', 7709.82, 7727.08, 6.94, 17.26),
('2016-02-12', 7727.08, 7740.93, 6.94, 13.85),
('2016-02-13', 3.02, 12.22, 6.94, 9.2),
('2016-02-14', 12.22, 20.73, 6.94, 8.51),
('2016-02-15', 20.73, 37.04, 6.94, 16.31),
('2016-02-16', 37.04, 52.56, 7, 15.52),
('2016-02-17', 52.56, 67.82, 7, 15.26),
('2016-02-18', 67.82, 83.66, 7, 15.84),
('2016-02-19', 83.66, 98.77, 7, 15.11),
('2016-02-20', 98.77, 108.37, 7, 9.61),
--Extra data
('2016-02-21', 120, 150, 6.94, 30),
('2016-02-22', 150, 180, 6.94, 30),
('2016-02-24', 150, 180, 7, 30),
('2016-02-25', 180, 200, 7, 30);
WITH A AS(
SELECT *,
CASE WHEN
StartValue < LAG(StartValue) OVER (PARTITION BY Multiplier ORDER BY LogDate)
OR DATEADD(DAY, -1, LogDate) > LAG(LogDate) OVER (PARTITION BY Multiplier ORDER BY LogDate)
THEN 1 ELSE 0 END AS grp
FROM #Test
)
,B AS(
SELECT *,
SUM(grp) OVER (PARTITION BY A.Multiplier ORDER BY A.LogDate ROWS UNBOUNDED PRECEDING) SUM FROM A
)
,C AS (
SELECT *,
DENSE_RANK() OVER (ORDER BY (CONVERT(VARCHAR(8), Multiplier)+' '+CONVERT(VARCHAR(1),sum))) rnk
FROM B
)
SELECT MIN(LogDate) LogDateMin
,MAX(LogDate) LogDateMax
,MIN(StartValue) StartValue
,MAX(EndValue) EndValue
,MIN(Multiplier) Multiplier
,SUM(DiffValue) SumOfDiffValue
FROM C GROUP BY Rnk
LogDateMin LogDateMax StartValue EndValue Multiplier SumOfDiffValue
---------- ---------- --------------------------------------- --------------------------------------- --------------------------------------- ---------------------------------------
2016-02-08 2016-02-12 7661.25 7740.93 6.94 79.68
2016-02-13 2016-02-15 3.02 37.04 6.94 34.02
2016-02-21 2016-02-22 120.00 180.00 6.94 60.00
2016-02-16 2016-02-20 37.04 108.37 7.00 71.34
2016-02-24 2016-02-25 150.00 200.00 7.00 60.00