I have two tables, Categories, and Stories.
The Stories table contains content organized by category.
categories_id, category_name, category_story_count
1, news, 2
2, funnies, 3
stories_id, categories_id, story_name, story_content, story_active
1, 1, "Tax Hike", "blah blah", 1
2, 1, "Tax Cuts", "blah blah", 1
2, 1, "Election", "blah blah", 1
4, 2, "Peanuts", "blah blah", 1
5, 2, "Garfield", "blah blah", 1
6, 2, "Archie", "blah blah", 1
I want a query which will return the correct number of stories for each category based on the category_story_count, and if the story is active (story_active = 1)
So the result should look like:
"news", "Tax Hike"
"news", "Tax Cuts"
"funnies", "Peanuts"
"funnies", "Garfield"
"funnies", "Archie"
Two "news" stories because news category 1, has a category_story_count = 2, and three "funnies", because funnies 2, has a category_story_count = 3
I've experimented with inner joins, nested, and limits, but just can't get it to return what I'm aiming for.
Any help would be appreciated.
EDIT: MySQL VERSION() 8.0.23
Here's a solution using window functions:
with cte as (
select *, row_number() over (partition by c.categories_id order by s.stories_id) as rownum
from Categories as c join Stories as s using (categories_id)
) select * from cte where rownum <= category_story_count;
+---------------+---------------+----------------------+------------+------------+---------------+--------------+--------+
| categories_id | category_name | category_story_count | stories_id | story_name | story_content | story_active | rownum |
+---------------+---------------+----------------------+------------+------------+---------------+--------------+--------+
| 1 | new | 2 | 1 | Tax Hike | blah blah | 1 | 1 |
| 1 | new | 2 | 2 | Tax Cuts | blah blah | 1 | 2 |
| 2 | funnies | 3 | 4 | Peanuts | blah blah | 1 | 1 |
| 2 | funnies | 3 | 5 | Garfield | blah blah | 1 | 2 |
| 2 | funnies | 3 | 6 | Archie | blah blah | 1 | 3 |
+---------------+---------------+----------------------+------------+------------+---------------+--------------+--------+
Tested on MySQL 8.0.23.