Include main queries results to sub queries condition - mysql

Question

I have a table "products" and a table "links". every product can have multiple links, each link can have many sales, clicks and impressions, but doesn't necessarily have all of them. I want to get a list of links of a certain product matching some criteria for them. I want to get this data grouped per day and campaign and link banner size.
The following query works correctly, but it's much slower than it could be. The problem is that the subqueries get the data for all link ids and it's just filtered in the end. The overall query would become much faster if the sub queries included something like
where link_id IN (...) but I only know the link_ids from the main query, not before
if I try to add
where link_id = l.id
it's obviously an unknown column, because the sub query doesn't have access to the main queries results.
how can I let the sub queries only look up data for the link_Ids that the main query found? I could split it up to 2 complete separate queries, but is this possible in one query?
select p.id, p.name, l.id, l.banner_size,
coalesce(sum(case when t1.col = 'sales' then ct else 0 end), 0) as total_sales,
coalesce(sum(case when t1.col = 'clicks' then ct else 0 end), 0) as total_clicks,
coalesce(sum(case when t1.col = 'impressions' then ct else 0 end), 0) as total_impressions,
t1.dt
from links l
inner join products p
on p.id = l.product_id
left join
(
select count(1) as ct, link_id, date(clicked) dt, 'sales' as col
from sales
where clicked >= '2020-01-01 00:00:00' and clicked <= '2020-01-31 00:00:00'
group by date(clicked), link_id
union all
select count(1) as ct, link_id, date(created) dt, 'clicks'
from clicks_source1
where created >= '2020-01-01 00:00:00' and created <= '2020-01-31 00:00:00'
group by date(created), link_id
union all
select count(1) as ct, link_id, date(time) dt, 'clicks'
from clicks_source2
where time >= '2020-01-01 00:00:00' and time <= '2020-01-31 00:00:00'
group by date(time), link_id
union all
select count(1) as ct, link_id, date(created) dt, 'impressions'
from impression_source1
where created > '2020-01-01 00:00:00' and created <= '2020-01-31 00:00:00'
group by date(created), link_id
union all
select count(1) as ct, link_id, date(time) dt, 'impressions'
from impression_source2
where time > '2020-01-01 00:00:00' and time <= '2020-01-31 00:00:00'
group by date(time), link_id
) t1 on t1.link_id = l.id
where l.agent_id = 300
and p.id = 3454
and l.banner_size = 48
and p.company NOT IN (13592, 28189)
group by c.id, l.banner_size, t1.dt
having (total_sales + total_clicks + total_impressions) > 0
order by dt DESC, p.id ASC, l.banner_size ASC

Answer 1

you can just add inner joins with links to all the subqueries
select count(1) as ct, s.link_id, date(s.clicked) dt, 'sales' as col
from sales s
join links l1 on l1.id = s.link_id
where s.clicked >= '2020-01-01 00:00:00' and s.clicked <= '2020-01-31 00:00:00'
group by date(s.clicked), s.link_id
union all etc.
Then you'll only get the rows with a match and the query should run faster