Sql sum up based on parent table - mysql

Question

My sql looks like:
create table ad(
ad_id int,
ad_name varchar(10)
);
insert into ad(ad_id, ad_name) values
(1,'ad1'),
(2,'ad2'),
(3,'ad3');
create table ad_insight(
id int,
ad_id int,
date date,
clicks int
);
insert into ad_insight(id, ad_id, date, clicks) values
(1, 1, '2021-04-25', 1),
(2, 1, '2021-04-24', 4),
(3, 1, '2021-04-23', 2),
(4, 2, '2021-04-25', 6),
(5, 2, '2021-03-03', 7);
create table product(
product_id int,
ad_id int,
product_name varchar(10)
);
insert into product(product_id, ad_id, product_name) values
(1, 1, 'prod1'),
(2, 1, 'prod2'),
(3, 2, 'prod3'),
(4, 2, 'prod4');
(1, 3, 'prod1');
create table product_insight(
id int,
product_id int,
sale int,
date date
);
insert into product_insight(id, product_id, sale, date) values
(1, 1, 12, '2021-04-25'),
(2, 1, 11, '2021-04-24'),
(3, 1, 13, '2021-04-23'),
(4, 1, 14, '2021-04-22'),
(5, 1, 17, '2021-04-21'),
(6, 1, 15, '2021-04-20'),
(7, 1, 13, '2021-04-19'),
(8, 2, 19, '2021-04-25');
Here you have fiddle
A quick explanation of schema:
I have ads:
each ad has insights, which tell us when a certain ad was active.
each ad has products. Each product has product_insight which tells us how many sales that product generated on a certain day.
And now I want to get the following tables:
which will sum up clicks from ad_insight table and sum up product_sale from product_insight in 2021-04-23 to 2021-04-25 inclusive.
+----------+--------+--------------+--------------+
| ad_name | clicks | product_sale | products |
+----------+--------+--------------+--------------+
| ad1 | 7 | 55 | prod1, prod2 |
| ad2 | 6 | 0 | prod3, prod4 |
| ad3 | 0 | 36 | prod1 |
+----------+--------+--------------+--------------+
The summary row which will sum up everything in the above table:
+------------+--------------+--------------------+----------------------------+
| total_ads | total_clicks | total_product_sale | unique_all_products |
+------------+--------------+--------------------+----------------------------+
| 3 | 13| 91 | prod1, prod2, prod3, prod4 |
+------------+--------------+--------------------+----------------------------+
What I have tried?
# 1) table
select ad_name, SUM(ad_insight.clicks) as clicks
from ad
left join ad_insight on ad.ad_id = ad_insight.ad_id
where ad_insight.date >= '2021-04-23' and ad_insight.date <= '2021-04-25'
group by ad.ad_id;
# 2) table
select count(distinct ad_insight.ad_id) as total, SUM(ad_insight.clicks) as clicks
from ad_insight
left join ad on ad.ad_id = ad_insight.ad_id
where ad_insight.date >= '2021-04-23' and ad_insight.date <= '2021-04-25'
But I do not know how select product_sale table and products separated by comma!

Answer 1

If I understand correctly, you want to aggregate along two different dimensions (clicks and sales) for each ad. Aggregate before joining:
select ad.ad_name, ai.clicks, p.sales, p.products
from ad left join
(select ai.ad_id, sum(ai.clicks) as clicks
from ad_insight ai
where ai.date >= '2021-04-23' and ai.date <= '2021-04-25'
group by ai.ad_id
) ai
on ad.ad_id = ai.ad_id left join
(select p.ad_id, sum(pi.sale) as sales,
group_concat(distinct p.product_name) as products
from product p join
product_insight pi
on pi.product_id = p.product_id
where pi.date >= '2021-04-23' and pi.date <= '2021-04-25'
group by p.ad_id
) p
on p.ad_id = ad.ad_id ;
The second query just aggregates this again.