This is slightly more efficient. If it still doesn’t run for you, then you can try stripping out some of the columns, with their associated joins and queries.
EDIT Okay, I finally got my join types straight (it’s been a while). This updated query is much more efficient
with
t as (
select
CURRENT_TIMESTAMP - ((0 + 100) * (INTERVAL '1 days')) as start,
CURRENT_TIMESTAMP - (0 * (INTERVAL '1 days')) as end
),
-- Topic count last 100 days 25%
-- lesser of 25% topics created in last 100 days
-- OR 500, the system default max requirement for TL3
tclhd AS (
SELECT LEAST(floor(count(id)*.25)::REAL,500) as all_topics
FROM topics, t
WHERE created_at > t.start
AND archetype = 'regular'
AND deleted_at is null
),
-- Post count last 100 days 25%
-- lesser of 25% posts created in last 100 days
-- OR 20k, the system default max requirement for TL3
pclhd AS (
SELECT LEAST(FLOOR(count(id)*.25)::REAL,20000) AS all_posts
FROM t, posts
WHERE posts.created_at > start
AND posts.deleted_at is null
AND posts.hidden_at is null
AND posts.last_editor_id >0 -- Omit Discobot & System
AND (action_code is null OR action_code != 'assigned')
),
-- Trust Level 2 users
tl AS (
SELECT id as user_id, trust_level
FROM users
WHERE trust_level = 2
),
-- Users, visits & posts read last 100 days
pr AS (
SELECT user_id,
count(1) as visits,
sum(posts_read) as posts_read
FROM t, user_visits
INNER JOIN tl using (user_id)
WHERE visited_at > t.start
AND visited_at < t.end
GROUP BY user_id
ORDER BY visits DESC
),
-- Posts Read All Time
prat as (
select user_id,
sum(posts_read) as posts_read
from t, user_visits
INNER JOIN tl using (user_id)
group by user_id
),
-- Topics replied to
trt as (
select user_id,
count(distinct topic_id) as topic_id
from t, posts
INNER JOIN tl using (user_id)
where posts.created_at > t.start
and posts.created_at < t.end
group by user_id
),
-- Topics Viewed All Time
tvat as (
select tv.user_id,
COUNT(distinct tv.topic_id) AS topic_id
FROM topic_views tv
LEFT JOIN topics t on tv.topic_id=t.id
INNER JOIN tl on tv.user_id=tl.user_id
WHERE
t.archetype = 'regular'
AND t.deleted_at is null
group by tv.user_id
),
-- Topics Viewed
tva AS (
SELECT tv.user_id,
COUNT(distinct tv.topic_id) AS topic_id
FROM t, topic_views tv
LEFT JOIN topics on topic_id=topics.id
INNER JOIN tl on tv.user_id=tl.user_id
WHERE
topics.archetype = 'regular'
AND topics.deleted_at is null
AND viewed_at > t.start
AND viewed_at < t.end
GROUP BY tv.user_id
),
likes AS (
SELECT user_id,
likes_given, likes_received
from user_stats
INNER JOIN tl using (user_id)
)
SELECT pr.user_id,
greatest(50-coalesce(pr.visits,0),0) as "Days visited gap",
greatest(10-coalesce(trt.topic_id,0), 0) as "Topic reply gap",
greatest(tclhd.all_topics-coalesce(tva.topic_id,0),0) AS "Topics Viewed gap",
greatest(200-coalesce(tvat.topic_id,0),0) as "Topic viewed (AT) gap",
greatest(pclhd.all_posts - coalesce(pr.posts_read,0),0) as "Posts Read gap",
greatest(500-coalesce(prat.posts_read,0),0) as "Posts Read (AT) gap",
greatest(30-likes.likes_given,0) as "Likes given gap",
greatest(20-likes.likes_received,0) as "Likes received gap"
FROM pclhd, tclhd, pr
left join trt using (user_id)
LEFT JOIN tva USING (user_id)
left join tvat using (user_id)
left join prat using (user_id)
LEFT JOIN likes using (user_id)
ORDER BY
pr.visits DESC
LIMIT 50