# Find the users which are more likely to become TL3

**URL:** https://meta.discourse.org/t/find-the-users-which-are-more-likely-to-become-tl3/91495
**Category:** Data & reporting
**Tags:** trust-levels, sql-query
**Created:** [3 juli 2018 om 16:17 UTC](https://meta.discourse.org/t/find-the-users-which-are-more-likely-to-become-tl3/91495 "2018-07-03T16:17:14Z")
**Posts on this page:** 1
**Showing post:** 17

<div class="post-metadata">

### Author: ![ganncamp](https://sea3.discourse-cdn.com/meta/user_avatar/meta.discourse.org/ganncamp/32/106199_2.png) [@ganncamp](https://meta.discourse.org/u/ganncamp)
#### Post date: [11 maart 2022 om 19:59 UTC](https://meta.discourse.org/t/find-the-users-which-are-more-likely-to-become-tl3/91495/17 "2022-03-11T19:59:29Z")

</div>

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

```plaintext
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

```

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