= 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 ) }}}