# Write your MySQL query statement below
1194. 锦标赛优胜者
Players
玩家表
+-------------+-------+ | Column Name | Type | +-------------+-------+ | player_id | int | | group_id | int | +-------------+-------+ player_id 是此表的主键(具有唯一值的列)。 此表的每一行表示每个玩家的组。
Matches
赛事表
+---------------+---------+ | Column Name | Type | +---------------+---------+ | match_id | int | | first_player | int | | second_player | int | | first_score | int | | second_score | int | +---------------+---------+ match_id 是此表的主键(具有唯一值的列)。 每一行是一场比赛的记录,first_player 和 second_player 表示该场比赛的球员 ID。 first_score 和 second_score 分别表示 first_player 和 second_player 的得分。 你可以假设,在每一场比赛中,球员都属于同一组。
每组的获胜者是在组内累积得分最高的选手。如果平局,player_id
最小 的选手获胜。
编写解决方案来查找每组中的获胜者。
返回的结果表单 没有顺序要求 。
返回结果格式如下所示。
示例 1:
输入: Players 表
: +-----------+------------+ | player_id | group_id | +-----------+------------+ | 15 | 1 | | 25 | 1 | | 30 | 1 | | 45 | 1 | | 10 | 2 | | 35 | 2 | | 50 | 2 | | 20 | 3 | | 40 | 3 | +-----------+------------+Matches 表
: +------------+--------------+---------------+-------------+--------------+ | match_id | first_player | second_player | first_score | second_score | +------------+--------------+---------------+-------------+--------------+ | 1 | 15 | 45 | 3 | 0 | | 2 | 30 | 25 | 1 | 2 | | 3 | 30 | 15 | 2 | 0 | | 4 | 40 | 20 | 5 | 2 | | 5 | 35 | 50 | 1 | 1 | +------------+--------------+---------------+-------------+--------------+ 输出: +-----------+------------+ | group_id | player_id | +-----------+------------+ | 1 | 15 | | 2 | 35 | | 3 | 40 | +-----------+------------+
原站题解
mysql 解法, 执行用时: 849 ms, 内存消耗: 0 B, 提交时间: 2023-10-15 23:09:45
SELECT group_id, player_id FROM ( SELECT group_id, player_id, SUM(score) AS score FROM ( -- 每个用户总的 first_score SELECT Players.group_id, Players.player_id, SUM(Matches.first_score) AS score FROM Players JOIN Matches ON Players.player_id = Matches.first_player GROUP BY Players.player_id UNION ALL -- 每个用户总的 second_score SELECT Players.group_id, Players.player_id, SUM(Matches.second_score) AS score FROM Players JOIN Matches ON Players.player_id = Matches.second_player GROUP BY Players.player_id ) s GROUP BY player_id ORDER BY score DESC, player_id ) result GROUP BY group_id