# Estatísticas do usuário mais e-mail

**URL:** <https://meta.discourse.org/t/user-stats-plus-email/317793>\
**Category:** Data & reporting\
**Tags:** sql-query\
**Created:** [Julho 17, 2024, 5:16pm UTC](https://meta.discourse.org/t/user-stats-plus-email/317793 "2024-07-17T17:16:51Z")\
**Posts on this page:** 1\
**Showing post:** 3

<div class="post-metadata">

**Author:** ![JammyDodger](https://sea3.discourse-cdn.com/meta/user_avatar/meta.discourse.org/jammydodger/32/254611_2.png) [@JammyDodger](https://meta.discourse.org/u/JammyDodger)\
**Post date:** [Julho 23, 2024, 1:06pm UTC](https://meta.discourse.org/t/user-stats-plus-email/317793/3 "2024-07-23T13:06:59Z")

</div>

Acho que algo assim deve resolver:

```sql
-- [params]
-- string :interval = 7 days

WITH post_data AS (

    SELECT
        p.user_id,
        COUNT(p.id) AS total_posts,
        COUNT(p.id) FILTER (WHERE p.post_number = 1 AND t.archetype = 'regular') AS topics,
        COUNT(p.id) FILTER (WHERE p.post_number > 1 AND t.archetype = 'regular') AS posts,
        COUNT(p.id) FILTER (WHERE t.archetype = 'private_message') AS pms
    FROM posts p
      JOIN topics t ON t.id = p.topic_id
    WHERE p.created_at >= CURRENT_DATE - INTERVAL :interval 
      AND p.user_id > 0 
      AND p.deleted_at ISNULL
      AND t.deleted_at ISNULL
      AND p.post_type <> 3
GROUP BY p.user_id

    ),
    
user_data AS (
    
    SELECT 
        uv.user_id,
        COUNT(*) AS visits,
        SUM(posts_read) AS posts_read,
        SUM(time_read)/60 AS time_read
    FROM user_visits uv
    WHERE uv.visited_at >= CURRENT_DATE - INTERVAL :interval
    GROUP BY uv.user_id
    )

SELECT 
    ud.user_id,
    ue.email,
    ud.visits,
    ud.posts_read,
    ud.time_read,
    pd.total_posts,
    pd.topics,
    pd.posts,
    pd.pms
FROM user_data ud 
  LEFT JOIN post_data pd ON pd.user_id = ud.user_id
  JOIN user_emails ue ON ue.user_id = ud.user_id AND ue.primary = TRUE
ORDER BY ud.posts_read DESC

```

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