找出更可能成为TL3的用户

数据与报告
,
17

这稍微更有效率。如果它仍然无法运行，您可以尝试删除一些列以及它们关联的联接和查询。

编辑 好的，我终于弄清楚了我的联接类型（已经有一段时间了）。这个更新后的查询效率高得多

with
t as (
  select
    CURRENT_TIMESTAMP - ((0 + 100) * (INTERVAL '1 days')) as start,
    CURRENT_TIMESTAMP - (0 * (INTERVAL '1 days')) as end
),

-- 过去 100 天的话题数量 25%
-- 过去 100 天创建的话题的 25% 的较小值
-- 或 500，TL3 的系统默认最大要求
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
),

-- 过去 100 天的帖子数量 25%
-- 过去 100 天创建的帖子的 25% 的较小值
-- 或 20k，TL3 的系统默认最大要求
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  -- 排除 Discobot 和系统
    AND (action_code is null OR action_code != 'assigned')
),

-- 信任等级 2 用户
tl AS (
SELECT id as user_id, trust_level
FROM users
WHERE trust_level = 2
),

-- 过去 100 天的用户访问和帖子阅读量
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
),

-- 所有时间帖子阅读量
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
),

-- 回复的话题
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
),

-- 所有时间查看的话题
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
),

-- 查看的话题
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 "访问天数差距",
        greatest(10-coalesce(trt.topic_id,0), 0)  as "回复话题差距",
        greatest(tclhd.all_topics-coalesce(tva.topic_id,0),0) AS "查看话题差距",
        greatest(200-coalesce(tvat.topic_id,0),0) as "查看话题 (AT) 差距",
        greatest(pclhd.all_posts - coalesce(pr.posts_read,0),0) as "阅读帖子差距",
        greatest(500-coalesce(prat.posts_read,0),0) as "阅读帖子 (AT) 差距",
        greatest(30-likes.likes_given,0) as "点赞数差距",
        greatest(20-likes.likes_received,0) as "获赞数差距"

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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