Dashboard Report - Posts

data & reporting
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This is an SQL version of the Dashboard Report for Posts.

This report provides a daily count of posts created within a specified date range. It is designed to track the activity in regular topics, excluding posts from private messages and other special archetypes.

--[params]
-- date :start_date
-- date :end_date

SELECT 
    p.created_at::date AS "Day",
    COUNT(p.id) AS "Count"
FROM posts p
INNER JOIN topics t ON t.id = p.topic_id AND t.deleted_at ISNULL
WHERE p.created_at::date BETWEEN :start_date AND :end_date
    AND p.deleted_at ISNULL
    AND t.archetype = 'regular'
    AND p.post_type = 1
GROUP BY p.created_at::date
ORDER BY 1

SQL Query Explanation

  • Parameters:
    • The query accepts two parameters, :start_date and :end_date, which define the date range for the report. Both date parameters accept the date format of YYYY-MM-DD.

The SQL query performs the following operations:

  • Data Selection:
    • It selects the date (created_at::date) when each post was created and casts it to a date format to ignore the time component.
    • It also counts the number of posts (COUNT(p.id)) created on each date.
  • Joins:
    • The query joins the posts table with the topics table using an INNER JOIN. This join ensures that only posts associated with existing topics are considered.
    • It filters out any topics that have been deleted (t.deleted_at ISNULL).
  • Filters:
    • It filters posts to include only those within the specified date range (p.created_at::date BETWEEN :start_date AND :end_date).
    • It excludes deleted posts (p.deleted_at ISNULL).
    • It restricts the results to posts from regular topics (t.archetype = 'regular').
    • It considers only p.post_type = 1 posts, excluding moderator actions, whispers, and small_action posts.
  • Grouping and Ordering:
    • The results are grouped by the date of post creation (GROUP BY p.created_at::date).
    • The final output is ordered by the date in ascending order (ORDER BY 1), where 1 refers to the first column in the SELECT statement, which is the date.

Example Results

Day Count
2023-11-12 25
2023-11-13 35
2023-11-14 38
2023-11-15 47
2023-11-16 36
2023-11-17 79
… …
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