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
ā€¦ ā€¦
2 Likes
2

This is great.
Would there be a way to be able to define the category/subcategory at run time as the date?
And bonus, can we either list the results by user, or define the user as well?

What Iā€™m trying to do is see how many posts are made during (range) in my support tickets areas by my support staff.

3

Yes, you can use the following query for this:

--[params]
-- date :start_date
-- date :end_date
-- null category_id :category_id 
-- null user_id :user_id
-- boolean :include_subcategories = false

SELECT 
    u.username AS "User",
    p.created_at::date AS "Date",
    COUNT(p.id) AS "Count"
FROM posts p
INNER JOIN topics t ON t.id = p.topic_id AND t.deleted_at IS NULL
INNER JOIN users u ON p.user_id = u.id
LEFT JOIN categories c ON t.category_id = c.id
WHERE p.created_at::date BETWEEN :start_date AND :end_date
    AND p.deleted_at IS NULL
    AND t.archetype = 'regular'
    AND p.post_type = 1
    AND (
        :category_id IS NULL 
        OR t.category_id = :category_id
        OR (:include_subcategories AND c.parent_category_id = :category_id)
    )
    AND (:user_id IS NULL OR p.user_id = :user_id)
GROUP BY u.username, p.created_at::date
ORDER BY p.created_at::date ASC, u.username

Parameters:

  • :start_date & :end_date: Define the reporting timeframe (required)
  • :category_id: Optional filter for a specific category
  • :user_id: Optional filter for a specific user
  • :include_subcategories: Option to include subcategories of the chosen category

This query shows:

  • User: Username of the post author
  • Date: The calendar date when posts were created
  • Count: Number of posts created by that user on that date

Example Data:

User Date Count
user 1 2023-01-01 3
user 2 2023-01-01 2
user 3 2023-01-01 1
user 1 2023-01-02 2
user 2 2023-01-02 3
user 1 2023-01-03 1
ā€¦ ā€¦ ā€¦
2 Likes
4

Thank you, that is a big help!

2 Likes