我在#temp表中有以下数据:
Id code Fname CompanyId FieldName Value
----------------------------------------------------------------
465 00133 JENN WILSON 1 ERA 1573
465 00133 JENN WILSON 1 ESHIFTALLOW 3658
465 00133 JENN WILSON 1 NETPAY 51560
我想做以下操作,即
One Row将在两列上添加,ERA + ESHIFTALLOW
其他行将减法&添加三列,NETPAY - ERA + ESHIFTALLOW
我曾尝试在SQL Server中使用case语句。
以下是所需的输出
Field1= ERA + ESHIFTALLOW
& Filed2=NETPAY - ERA + ESHIFTALLOW
Id code Fname CompanyId FieldName Value
----------------------------------------------------------------
465 00133 JENN WILSON 1 Field1 5231
465 00133 JENN WILSON 1 Filed2 46329
我曾尝试使用SQL SERVER Case Statement但没有获得正确的输出 SQL查询:Aggregate option in SQL Server CASE statement
答案 0 :(得分:3)
我看到至少有两种方法可以获得这些结果。分组或轴心
在下面的示例中,显示了2种方法。
CREATE TABLE #Temp (Id INT, code VARCHAR(5), Fname VARCHAR(20), CompanyId INT, FieldName VARCHAR(20), Value INT);
insert into #Temp (Id, code, Fname, CompanyId, FieldName, Value)
values
(465,00133,'JENN WILSON',1,'ERA',1573),
(465,00133,'JENN WILSON',1,'ESHIFTALLOW',3658),
(465,00133,'JENN WILSON',1,'NETPAY',51560);
with Q AS (
SELECT Id, code, Fname, CompanyId,
sum(case when FieldName = 'ERA' then Value end) as ERA,
sum(case when FieldName = 'ESHIFTALLOW' then Value end) as ESHIFTALLOW,
sum(case when FieldName = 'NETPAY' then Value end) as NETPAY
from #Temp
group by Id, code, Fname, CompanyId
)
select Id, code, Fname, CompanyId, 'Field1' as FieldName, (ERA + ESHIFTALLOW) as Value from Q
union all
select Id, code, Fname, CompanyId, 'Field2', (NETPAY - ERA + ESHIFTALLOW) from Q
;
with Q AS (
SELECT Id, code, Fname, CompanyId,
(ERA + ESHIFTALLOW) as Field1,
(NETPAY - ERA + ESHIFTALLOW) as Field2
FROM (SELECT * FROM #Temp) s
PIVOT ( SUM(VALUE) FOR FieldName IN (ERA, ESHIFTALLOW, NETPAY)) p
)
select Id, code, Fname, CompanyId, 'Field1' as FieldName, Field1 as Value from Q
union all
select Id, code, Fname, CompanyId, 'Field2', Field2 from Q
;
请注意,使用SUM(VALUE)代替MAX(VALUE)。在这种情况下,它将产生相同的结果。它真的只是一个选择。
答案 1 :(得分:2)
严重依赖LukStorms'回答,您可以使用PIVOT和UNPIVOT来获得您想要的结果:
CREATE TABLE #Temp
(Id INT, Code VARCHAR(5), Fname VARCHAR(20), CompanyId INT, FieldName VARCHAR(20), Value INT);
INSERT INTO #Temp
(Id, Code, Fname, CompanyId, FieldName, Value)
VALUES
(465,00133, 'JENN WILSON', 1, 'ERA', 1573),
(465,00133, 'JENN WILSON', 1, 'ESHIFTALLOW', 3658),
(465,00133, 'JENN WILSON', 1, 'NETPAY', 51560);
SELECT Id, Code, Fname, CompanyId, FieldName, Value
FROM (
SELECT Id, Code, Fname, CompanyId,
ERA + ESHIFTALLOW AS Field1,
NETPAY - ERA + ESHIFTALLOW AS Field2
FROM (
SELECT *
FROM #Temp
) AS s
PIVOT (
SUM(Value)
FOR FieldName IN (ERA, ESHIFTALLOW, NETPAY)
) AS p
) AS r
UNPIVOT (
Value
FOR FieldName IN (Field1, Field2)
) AS u
;
答案 2 :(得分:1)
我不知道这个解决方案是否最接近效率,但它应该有效:
SELECT
BASE.*,
ERA.Value AS ERA,
ESALLOW.Value AS ESHIFTALLOW,
ERA.Value + ESALLOW.Value AS Field1,
etc...
FROM (
SELECT DISTINCT Id, code, Fname, CompanyId
FROM #TEMP ) BASE
LEFT OUTER JOIN (
SELECT Id, Value
FROM #TEMP
WHERE FieldName = 'ERA' ) ERA
ON BASE.Id = ERA.Id
LEFT OUTER JOIN (
SELECT Id, Value
FROM #TEMP
WHERE FieldName = 'ESHIFTALLOW' ) ESALLOW
ON BASE.Id = ESALLOW.Id
这为您提供了一个简单的表,它在单独的列中具有每种类型的值,而不是在单独的行中。这使计算成为可能。