Issue with SQL Join & Exclude Query - php

Question

I have a set of queries that I am trying to run but I am having issues getting them to run together.
My set up is as follows with column names in parantheses:
Table 1 (Email / Date)
Table 2 (Email / Date_Submitted)
I have written 3 queries which each work perfectly, independent of each other, but I cannot seem to figure out how to connect them.
Query 1 - Distinct Emails from Table 1 (rfi_log)
SELECT DISTINCT email, date_submitted
FROM rfi_log
WHERE date_submitted BETWEEN '[start_date]' AND '[end_date]'
Query 2 - Distinct Emails from Table 2 (masterstudies)
SELECT DISTINCT email
FROM orutrimdb.mastersstudies
WHERE date BETWEEN '[start_date]' AND '[end_date]'
Query 3 - Join Query looking for duplicate emails from Table 1 & Table 2
SELECT rfi_log.email as emails, orutrimdb.mastersstudies.email
FROM rfi_log
CROSS JOIN orutrimdb.mastersstudies
ON orutrimdb.mastersstudies.email=rfi_log.email
WHERE date_submitted BETWEEN '[start_date]' AND '[end_date]';
My issue now is that I need to combine these queries by some fashion so that I can get a count of DISTINCT emails from both tables during the date range while EXCLUDING the emails identified from Query 3.
I need the following:
Query 3 = Count of Distinct Emails
Query 2 = Count of Distinct Emails (not identified in Query 3)
Query 1 = Count of Distinct Emails (not identified in Query 3)
Ultimately I need to get a total count of distinct emails during the date range that is "de-duplicated" since there are duplicates located in both tables.
How can this be accomplished?

Answer 1

One method for doing this is union all with aggregation. The following gets duplication information about each email:
select email, sum(isrfi) as numrfi, sum(isms) as numms
from ((select email, 1 as isrfi, 0 as isms
from rfilog
) union all
(select email, 0, 1
from orutrimdb.mastersstudies
)
) e
group by email;
An aggregation on top gives you the information you are looking for:
select numrfi, numms, count(*), min(email), max(email)
from (select email, sum(isrfi) as numrfi, sum(isms) as numms
from ((select email, 1 as isrfi, 0 as isms
from rfilog
) union all
(select email, 0, 1
from orutrimdb.mastersstudies
)
) e
group by email
) e
group by numrfi, numms;
Note that this also finds duplicates within a single table.