百分比排占总数的比例，其中每一行由分组决定

Question

我敢肯定这是一个愚蠢的n00b问题，但我有以下结果表（它是通过冗长的查询创建的，我只有一半的理解）什么我想是能够在相对于总的行百分比摸出两列加：

样品结果表：

CREATE TABLE #temp 
(category varchar(30) 
,count_people INT 
,numpayments05 INT 
,avegifts05 DECIMAL(4,2) 
,value05 DECIMAL(18,2) 
,donorvalue05 DECIMAL(18,2) 
,giftvalue05 DECIMAL(18,2) 
) 
INSERT INTO #temp VALUES ('Single Gifts',124945,182458.00,1.46,28787034.10,230.40,157.77) 
INSERT INTO #temp VALUES ('New Donor',67598,78799.00,1.17,5915450.93,87.51,75.07) 
INSERT INTO #temp VALUES ('Reactivated',19853,27394.00,1.38,4348419.38,219.03,158.74) 
INSERT INTO #temp VALUES ('2yrs consecutive',20604,31633.00,1.54,3556766.75,172.63,112.44) 
INSERT INTO #temp VALUES ('3/4yrs consecutive',7536,13251.00,1.76,1827917.34,242.56,137.95) 
INSERT INTO #temp VALUES ('5+yrs consecutive',9354,31381.00,3.35,13138479.70,1404.58,418.68) 

顶行，“送礼单”是来自主要查询的汇总子句的结果（不确定是否影响计算出百分比（这意味着单个礼品类别本质上是每列的总价值），并且每个ca tegory选项来自应用于查询的group by子句。

我想要的是能够添加两个新列，'价值百分比'和'count_people百分比'，其中value的百分比= row value05/total value05（这是value05的单值礼物'类别）。 count_people的百分比将是count_people行值，再由总（这是包含在情况下，“单类礼品行”

我SQL Server 2005上，有助于划分。

谢谢！

Answer 1

该查询会给你你的百分比按行排列：

SELECT category, count_people, numpayments05, avegifts05, value05, donorvalue05, giftvalue05, 
    value05/SUM(CASE category WHEN 'Single Gifts' THEN value05 ELSE 0.0 END) 
     OVER (PARTITION BY 1) AS [percentage of value], 
    count_people/SUM(CASE category WHEN 'Single Gifts' THEN count_people ELSE 0.0 END) 
     OVER (PARTITION BY 1) AS [percentage of count_people] 
FROM #temp ; 

假设你在#TEMP创建两个新列有以下几点：

CREATE TABLE #temp 
(category varchar(30) 
,count_people INT 
,numpayments05 INT 
,avegifts05 DECIMAL(4,2) 
,value05 DECIMAL(18,2) 
,donorvalue05 DECIMAL(18,2) 
,giftvalue05 DECIMAL(18,2) 
,[percentage of value] decimal(5,2) 
,[percentage of count_people] decimal(5,2) 
) 
INSERT INTO #temp VALUES ('Single Gifts',124945,182458.00,1.46,28787034.10,230.40,157.77, null, null) 
INSERT INTO #temp VALUES ('New Donor',67598,78799.00,1.17,5915450.93,87.51,75.07, null, null) 
INSERT INTO #temp VALUES ('Reactivated',19853,27394.00,1.38,4348419.38,219.03,158.74, null, null) 
INSERT INTO #temp VALUES ('2yrs consecutive',20604,31633.00,1.54,3556766.75,172.63,112.44, null, null) 
INSERT INTO #temp VALUES ('3/4yrs consecutive',7536,13251.00,1.76,1827917.34,242.56,137.95, null, null) 
INSERT INTO #temp VALUES ('5+yrs consecutive',9354,31381.00,3.35,13138479.70,1404.58,418.68, null, null) 

您可以运行下面的更新，以节省每行的百分比：

WITH cte AS 
    (SELECT category, 
    value05/SUM(CASE category WHEN 'Single Gifts' THEN value05 ELSE 0.0 END) 
     OVER (PARTITION BY 1) AS [percentage of value], 
    count_people/SUM(CASE category WHEN 'Single Gifts' THEN count_people ELSE 0.0 END) 
     OVER (PARTITION BY 1) AS [percentage of count_people] 
    FROM #temp 
    ) 

UPDATE #temp 
SET [percentage of value] = cte.[percentage of value], 
    [percentage of count_people] = cte.[percentage of count_people] 
FROM #temp 
JOIN cte ON #temp.category = cte.category 

Answer 2

做它在使用第一输入第二查询。不要试图修改第一查询并增加这些计算，它很复杂，因为它是。