Approach
Relational aggregation
For League Statistics, the query transforms and combines relational rows, then filters or aggregates them into the requested result.
- Identify the source rows and join keys.
- Apply filters before aggregation when possible.
- Group, rank, or project the final columns required by the result.
Code notes
- 45 lines of SQL from the credited upstream file 1841.sql.
- The implementation keeps its working state in language-native values and containers.
- No explicit loop blocks detected.
Complexity
Review join cardinality, grouping keys, and available indexes when estimating query cost.
Check the problem constraints before deciding whether this complexity will pass.
Use this to learn the idea, then write your own version.
1SELECT2 Teams.team_name,3 SUM(4 CASE5 WHEN Matches.home_team_id = Teams.team_id6 OR Matches.away_team_id = Teams.team_id THEN 17 ELSE 08 END9 ) AS matches_played,10 SUM(11 CASE12 WHEN Teams.team_id = Matches.home_team_id13 AND Matches.home_team_goals > Matches.away_team_goals THEN 314 WHEN Teams.team_id = Matches.away_team_id15 AND Matches.home_team_goals < Matches.away_team_goals THEN 316 WHEN Matches.home_team_goals = Matches.away_team_goals THEN 117 ELSE 018 END19 ) AS points,20 SUM(21 CASE22 WHEN Matches.home_team_id = Teams.team_id THEN Matches.home_team_goals23 ELSE Matches.away_team_goals24 END25 ) AS goal_for,26 SUM(27 CASE28 WHEN Matches.home_team_id = Teams.team_id THEN Matches.away_team_goals29 ELSE Matches.home_team_goals30 END31 ) AS goal_against,32 SUM(33 CASE34 WHEN Matches.home_team_id = Teams.team_id THEN Matches.home_team_goals - Matches.away_team_goals35 ELSE Matches.away_team_goals - Matches.home_team_goals36 END37 ) AS goal_diff38FROM Matches39INNER JOIN Teams40 ON (41 Matches.home_team_id = Teams.team_id42 OR Matches.away_team_id = Teams.team_id)43GROUP BY 144ORDER BY points DESC, goal_diff DESC, team_name;45