| Version 1 (modified by , 7 days ago) ( diff ) |
|---|
Complex DB Reports (SQL, Stored Procedures, Relational Algebra)
1. Story Statistics
SQL
WITH likeCount AS (
SELECT
story_id,
COUNT(user_id) AS total_likes
FROM likes
GROUP BY story_id
),
commentCount AS (
SELECT
story_id,
COUNT(comment_id) AS total_comments
FROM comment
GROUP BY story_id
),
averageRating AS (
SELECT
story_id,
ROUND(AVG(rating), 2) AS avg_rating
FROM chapter
WHERE rating IS NOT NULL
GROUP BY story_id
)
SELECT
u.username AS writer,
s.story_id,
s.short_description,
st.status,
COALESCE(lk.total_likes, 0) AS total_likes,
COALESCE(cm.total_comments, 0) AS total_comments,
COALESCE(CAST(ar.avg_rating AS VARCHAR), 'no ratings') AS avg_rating
FROM story s
JOIN status st ON s.story_id = st.story_id
JOIN writer w ON s.user_id = w.user_id
JOIN users u ON w.user_id = u.user_id
LEFT JOIN likeCount lk ON s.story_id = lk.story_id
LEFT JOIN commentCount cm ON s.story_id = cm.story_id
LEFT JOIN averageRating ar ON s.story_id = ar.story_id
ORDER BY total_likes DESC, total_comments DESC;
Relational Algebra
likeCount <- γ story_id; total_likes := COUNT(user_id) ( likes ) commentCount <- γ story_id; total_comments := COUNT(comment_id) ( comment ) averageRating <- γ story_id; avg_rating := ROUND(AVG(rating), 2) ( σ rating ≠ NULL (chapter) ) Base <- story s ⨝ (s.story_id = st.story_id) status st ⨝ (s.user_id = w.user_id) writer w ⨝ (w.user_id = u.user_id) users u WithLikes <- Base ⟕ (s.story_id = lk.story_id) likeCount lk WithComments <- WithLikes ⟕ (s.story_id = cm.story_id) commentCount cm WithRatings <- WithComments ⟕ (s.story_id = ar.story_id) averageRating ar Result <- π u.username → writer, s.story_id, s.short_description, st.status, COALESCE(lk.total_likes, 0) → total_likes, COALESCE(cm.total_comments, 0) → total_comments, COALESCE(ar.avg_rating, 'no ratings') → avg_rating ( WithRatings )
Note:
See TracWiki
for help on using the wiki.
