副问题[/!--empirenews.page--]
我已经建设了表格.我正在实行建设一个查询,该查询将已售表中的sold_quantity乘以on_sale表中的sale_price并相加,此刻称为R1,而产物表中的Retail_price和已售表中的sold_quantity称为R2.
在查询中,我要计较我的收入.收成是有两个差异的日期,但有一个贩卖数目.这意味着我很难区分两种贩卖范例(折扣贩卖,零售贩卖).
譬喻,在2月1日,我正在举办一次贩卖,贩卖了10个数目,出售的价值为sale_price,日期生涯为sale_date,请参阅On_sale表.在2月2日,我卖出了8个数目,可是卖出的价值生涯为retail_price并生涯为sold_date.
CREATE TABLE Sold (
store_number int(16) NOT NULL AUTO_INCREMENT,pid int(16) NOT NULL,sold_date date NOT NULL,sold_quantity int(16) NOT NULL,PRIMARY KEY (pid,store_number,sold_date)
);
CREATE TABLE Store (
store_number int(16) NOT NULL AUTO_INCREMENT,phone_number varchar(16) NOT NULL DEFAULT '0',street_address varchar(250) NOT NULL,city_name varchar(250) NOT NULL,state varchar(250) NOT NULL,PRIMARY KEY (store_number)
);
CREATE TABLE On_sale (
pid int(16) NOT NULL,sale_date date NOT NULL,sale_price float(16) NOT NULL,sale_date)
);
CREATE TABLE Product (
pid int(16) NOT NULL,product_name varchar(250) NOT NULL,retail_price float(16) NOT NULL,manufacture_name varchar(250) NOT NULL,PRIMARY KEY (pid)
);
CREATE TABLE City (
city_name varchar(250) NOT NULL,population int(16) NOT NULL DEFAULT '0',PRIMARY KEY (city_name,state)
);
这就是我要的:
样本数据:
店肆表:
store_number phone_number street_address city_name state
1 # ### New York NY
2 # ### HOUSTON TX
3 # ### L.A CA
出售表:
store_number PID SOLD DATE SOLD_QUANTITY
1 1 2/2/2017 3
2 2 2/3/2018 3
3 3 2/5/2019 4
特价表:
PID SALE_DATE SALE PRICE
1 2/4/2018 2
产物表:
PID PRODUCT NAME RETAIL_PRICE manufacture_name
1 XX 5 XXX
2 XX 4 XXX
3 XX 3 XXX
都市表:
CITY_NAME STATE POPULATION
New York NY 100
HOUSTON TX 200
L.A CA 201
扩展功效:
YEAR REVENUE POPULATION
2017 15 (NEW YORK)SMALL
2018 14 (HOUSTON)MEDIUM
2019 12 (L.A) LARGE
我的数听声名
这很是令人狐疑.起首,我必要按照贩卖日期和贩卖日期表现年份,然后计较收入.譬喻,在2018年,收入是(on_sale表的sale_price中的2)(12(3 * 4,3是sold_table中的sold_quantity,4是retail_price)= 14.
都市巨细由范畴脱离,个中0≤100较小100 = x≤200中等,大于200的任何事物都较大.括号中的都市名称仅用于辅佐跟踪.都市基于市肆表中的都市名称和州,通过较量已售表和市肆表上的store_number来确定都市
这要求我在查询后插手都市表以获取R1(正常价值)和R2(贩卖价值).这就是我获得的.我很迷路:
SELECT year(s.sold_date) as yr,c.population,SUM(COALESCE(os.sale_price,p.retail_price) * s.sold_quantity) AS revenue,CASE
WHEN population >= 0 AND population < 3700000 THEN 'small'
WHEN population >= 3700000 AND population < 6700000 THEN 'medium'
WHEN population >= 6700000 AND population < 9000000 THEN 'large'
WHEN population >= 9000000 THEN 'extra_large'
ELSE '-1'
END AS cityCategory
FROM Sold s JOIN
Product p
ON s.pid = p.pid JOIN
Store st
ON st.store_number = s.store_number LEFT JOIN
On_sale os
ON s.pid = os.pid JOIN
city c
ON c.city_name = st.city_name
GROUP BY year(s.sold_date),c.population
ORDER BY year(s.sold_date) ASC,c.population;
最佳谜底
这是一种可以完成事变的要领.逻辑是行使聚合子查询举办中间计较.
该查询按年份从On_sale表中获取收入.
SELECT
YEAR(sale_date) yr,SUM(sale_price) amt
FROM
On_sale
GROUP BY
YEAR(sale_date);
此其他查询行使“已售出”和“产物”表获取每家市肆和每年的收入:
SELECT
s.store_number,YEAR(s.sold_date) yr,SUM(s.sold_quantity * p.retail_price) amt
FROM
Sold s
INNER JOIN Product p
ON p.pid = s.pid
GROUP BY
s.store_number,YEAR(sold_date);
此刻,我们可以行使“都市”和“市肆”表联接这些查询的功效.同时,我们可以将都市分别为差异的巨细种别,并行使它们来汇总功效.我正在行使LEFT JOIN,以防子查询之一发生空功效集(不然,INNER JOIN可以):
SELECT
COALESCE(sa.yr,so.yr) sale_year,CASE
WHEN c.population > 200 THEN 'large'
WHEN c.population <= 200 AND c.population > 100 THEN 'medium'
ELSE 'small'
END as size_range,SUM(COALESCE(so.amt,0) + COALESCE(sa.amt,0)) revenue
FROM
City c
INNER JOIN Store st
ON st.state = c.state
AND st.city_name = c.city_name
LEFT JOIN (
SELECT
s.store_number,SUM(s.sold_quantity * p.retail_price) amt
FROM
Sold s
INNER JOIN Product p
ON p.pid = s.pid
GROUP BY
s.store_number,YEAR(sold_date)
) so
ON so.store_number = st.store_number
LEFT JOIN (
SELECT
YEAR(sale_date) yr,SUM(sale_price) amt
FROM
On_sale
GROUP BY
YEAR(sale_date)
) sa
ON sa.yr = so.yr
GROUP BY
sale_year,size_range
ORDER BY
sale_year,size_range
带有示例数据的demo on DB Fiddle演示了中间步调,最后返回:
(编辑:湖南网)
【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容!
|