Consolidate 2 queries with similar where clauses but different aggregate function targets - mysql

Question

I have 2 queries that work fine separately. Given they are similar, I'd like to consolidate them into one performant query. Seems straightforward as the where clauses are similar. But the sum, count, and min functions all apply to different rows and get in the way.
Context:
Users can score (or rate) a location and get points
User A can refer User B and get referral points when User B first submits a score
Points expire after a certain date
Goal is to build a leaderboard of users and their total points for scoring and referring for a particular location (area/country)
Positional parameters are filled in with hard values for 'Massachusetts', 'United States', and the scoreDateTime expiration date and are unfortunately duplicated in both select subqueries.
Question:
How can the query below be reorganized to combine constraints? There must be a way to start with a list of scores from a specific location after a certain date. The only complication is to get User B's first score date and only offer referral points to User A if it is after the expiration date.
select scoring.userId, scoring.points + referring.points as leaderPoints
from (
select userId, sum(ratingPoints) as points
from scores s, locations l
where s.locationId = l.locationId and
l.locationArea = 'Massachusetts' and
l.locationCountry = 'United States' and
s.scoreDateTime > '2016-04-16 18:50:53.154' and
s.userId != 0
group by s.userId
) as scoring
join (
select u1.userId, count(*) * 20 as points
from users u0
join users u1 on u0.userId = u1.userId
join users u2 on u2.referredByEmail = u1.emailAddress
join scores s on u2.userId = s.userId
join locations l on s.locationId = l.locationId
where l.locationArea = 'Massachusetts' and
l.locationCountry = 'United States' and
scoreDateTime = (
select min(scoreDateTime)
from scores
where userId = u2.userId
) and
scoreDateTime >= '2016-04-16 18:50:53.154'
group by u1.userId
) as referring on scoring.userId = referring.userId
order by leaderPoints desc
limit 10;

Answer 1

This is untested code, but it should do the trick. The Cross Apply is for readability...it'll hurt performance, but this doesn't seem to be a particularly process-intensive query, so I would keep it.
Please give it a try and let me know if you have any questions.
SELECT U.UserID,
ISNULL(SUM(CASE WHEN S.UserID IS NULL THEN 0 ELSE S.ratingPoints END), 0) AS [Rating Points],
ISNULL(SUM(CASE WHEN SS.userID IS NULL THEN 0 ELSE 20 END), 0) AS [Referral Points]
FROM Users U
LEFT OUTER JOIN scores S
ON S.userID = U.userID
AND S.scoreDateTime >= '2016-04-16 18:50:53.154'
LEFT OUTER JOIN locations L
ON S.locationID = L.locationID
AND L.locationArea = 'Massachusetts'
AND L.LocationCountry = 'United States'
LEFT OUTER JOIN Users U2
ON U2.referredByEmail = U.emailAddress
LEFT OUTER JOIN scores SS
ON SS.userID = U2.userID
LEFT OUTER JOIN locations LL
ON SS.locationID = LL.locationID
AND LL.locationArea = 'Massachusetts'
AND LL.locationCountry = 'United States'
AND SS.scoreDateTime >= '2016-04-16 18:50:53.154'
AND SS.scoreDateTime =
(
SELECT MIN(scoreDateTime)
FROM scores
where userID = U2.userID
)
GROUP BY U.userID
EDIT:
Modified answer to remove Cross Apply

Answer 2

Thanks Stan Shaw but I was unable to get your query to work on MySQL to test the results. However, I did notice a special case that was not covered by my original query. A user can get refer points from areas in which they themselves have not submitted scores. As long as the new user scores in that area, they get refer points there.
Here is the final query I'm using. I was not able to consolidate the duplicate where clauses in a way that appeared performant.
select userId, sum(points) as leaderPoints
from (
select s.userId, sum(s.ratingPoints) as points
from scores s, locations l
where s.locationId = l.locationId and
l.locationArea = 'Georgia' and
l.locationCountry = 'United States' and
s.scoreDateTime >= '2016-04-05 03:00:00.000' and
s.userId != 1
group by userId
union
select u1.userId, 20 as points
from users u0, users u1, users u2, scores s, locations l
where u0.userId = u1.userId and
u2.referredByEmail = u1.emailAddress and
u2.userId = s.userId and
s.locationId = l.locationId and
l.locationArea = 'Georgia' and
l.locationCountry = 'United States' and
scoreDateTime >= '2016-04-05 03:00:00.000' and
scoreDateTime = (
select min(scoreDateTime)
from scores
where userId = u2.userId
)
) as pointsEarned
group by userId
order by leaderPoints desc
limit 10
order by leaderPoints desc
limit 100;