Sql server 如何根据SQL Server中的条件将行转换为列?

Sql server 如何根据SQL Server中的条件将行转换为列?,sql-server,sql-server-2012,Sql Server,Sql Server 2012,我有一个包含这四列的表格——土壤类型、总小时数、体积和月-年 我提出了两个查询,根据月-年条件,按土壤类型生成总小时数和总体积 以下是我的产出: 按土壤类型划分的总小时数: SELECT [Soil Type], [Month/Year], SUM([Total Hour]) AS 'Total_Hour' FROM OVERALL_SUMMARY_ORIGINAL WHERE [Month/Year] = '2019-10-01' GROUP BY

我有一个包含这四列的表格——土壤类型、总小时数、体积和月-年

我提出了两个查询,根据月-年条件,按土壤类型生成总小时数和总体积

以下是我的产出:

按土壤类型划分的总小时数:

SELECT 
    [Soil Type], [Month/Year],
    SUM([Total Hour]) AS 'Total_Hour' 
FROM 
    OVERALL_SUMMARY_ORIGINAL 
WHERE 
    [Month/Year] = '2019-10-01' 
GROUP BY 
    [Soil Type], [Month/Year] 
ORDER BY 
    [Soil Type]
输出:

按土壤类型划分的总体积:

SELECT 
    [Soil Type], [Month/Year],
    SUM([Volume]) AS 'Total Volume' 
FROM 
    OVERALL_SUMMARY_ORIGINAL 
WHERE 
    [Month/Year] = '2019-10-01' 
GROUP BY 
    [Soil Type], [Month/Year] 
ORDER BY 
    [Soil Type]
输出:

我一直在试图找出如何组合这些查询的方法,SQL语句将首先检查该土壤类型的总体积是否大于10000,如果满足条件,则将总体积除以该土壤类型的总小时数。SQL应将“土壤类型”列转换为行,如下所示:


我尝试使用SQL PIVOT函数,但无法生成所需的上述输出。有人能帮忙吗?谢谢

如果我正确理解您的问题,请尝试以下方法:


declare @product table(
 [Soil Type] varchar(50),
 [Month/Year] smalldatetime,
 [Total Hour] int,
 [Volume] int
)

insert into @product values ('Clay', '20190101', 2, 20)
insert into @product values ('Clay', '20190101', 3, 10)
insert into @product values ('Sandy', '20190101', 4, 10)
insert into @product values ('Sandy', '20190201', 2, 25)
insert into @product values ('Clay', '20190301', 8, 40)
insert into @product values ('Mixed', '20190101', 2, 25)
insert into @product values ('Mixed', '20190102', 1, 20)
insert into @product values ('Sand', '20190101', 3, 30)
insert into @product values ('Sand', '20190101', 1, 2)
insert into @product values ('Clay', '20190101', 1, 15)


Select [date], Clay, Mixed, Sand, Sandy
FROM(
SELECT 
    [Soil Type], [Month/Year] as [date],
    SUM([Volume]) / SUM([Total Hour]) as _data
FROM 
   @product
GROUP BY 
    [Soil Type], [Month/Year]
HAVING SUM([Volume])>30) x
PIVOT (
  SUM(_data) FOR [Soil Type] IN (Clay, Mixed, Sand, Sandy)
) pvt