从多个表中检索数据 - SQL
问题描述:
我有以下表格:从多个表中检索数据 - SQL
表搜索:
Date Product Search_ID
2017-01-01 Nike 101
2017-01-01 Reebok 292
2017-01-01 Nike 103
2017-01-01 Adidas 385
2017-01-02 Nike 284
表采购
Date Product Total_sale
2017-01-01 Adidas 4
2017-01-01 Nike 1
2017-01-01 Adidas 2
2017-01-02 Nike 3
每件产品可以在同一天之内多行。当天产品的购买总数=总和(total_sale)
我需要找出每件产品每天的购买比率,即购买数量/搜索次数。
为了参考,对于耐克上2017-01-01
,搜索的总数是702
而购买的总数为47
,给我尝试的4 7/702 = 0.0669
购买比率:
select t1.product, sum(t1.Total_sale), count(t2.Search_ID)
from db.purchases t1 join db.searches
on t1.date = t2.date and t1.product = t2.product
where t1.date = '2017-01-01' and t1.product = 'Nike'
group by t1.product, t1.date
;
,这给我一个奇怪的结果:
product | sum | count
----------+-------+-------
Nike | 32994 | 32994
......我在做什么错在这里?
答
执行聚集之前的加入:
select p.product, p.sales, s.searches
from (select p.date, p.product, sum(p.Total_sale) as sales
from db.purchases p
group by p.date, p.product
) p join
(select s.date, s.product, count(*) as searches
from db.searches s
group by s.date, s.product
) s
on p.date = s.date and p.product = s.product
where p.date = '2017-01-01' and p.product = 'Nike';
注意:您可以移动where
纳入子查询,提高性能。这将很容易推广到更多的日子和产品。
答
该联接已经与您的结果集相乘,您将在删除GROUP BY并使用*代替指定的字段时看到它。
select * from db.purchases t1 join db.searches
on t1.date = t2.date and t1.product = t2.product
where t1.date = '2017-01-01' and t1.product = 'Nike'
你不需要加入表来计算购买率:
SELECT
(select sum(t1.Total_sale) from db.purchases t1 where t1.date = '2017-01-01' and t1.product = 'Nike')
/
(select count(t2.Search_ID) from db.searches t2 where t2.date = '2017-01-01' and t2.product = 'Nike')
答
问题是您要加入两个未汇总的表,因此每个“购买”行都与每个“搜索”行连接。因此,你的结果32994,其中来自702 X 49
正确的方式来实现所期望的结果与加盟将
select t1.product, t1.total_sales, t2.search_count
from (
select date, product, sum(total_sales) as total_sales
from db.purchases
group by date, product
) t1
join (
select date, product, count(search_id) as search_count
from db.searches
group by date, product
) t2
on t1.date = t2.date and t1.product = t2.product
where t1.date = '2017-01-01' and t1.product = 'Nike'
group by t1.product, t1.date;