将大连接查询与重复查询相结合答案

【问题标题】：combine big join query with duplicate query将大连接查询与重复查询相结合
【发布时间】：2017-11-24 14:50:50
【问题描述】：

我正在努力组合这两个 sql 查询。

SELECT players.player_id, players.tag, players.game_race,
       earnings.tournament, earnings.player, earnings.position,
       tournaments.tournament_id, tournaments.region
  FROM players
  JOIN earnings ON players.player_id = earnings.player 
  JOIN tournaments ON earnings.tournament = tournaments.tournament_id
  where position = 1
ORDER BY players.player_id;

SELECT tournament, earnings.player, prize_money, position 
FROM earnings 
join (
    SELECT player FROM earnings 
    where position = 1 group by player having count(player) > 3) 
as DupPlayer
on earnings.player=DupPlayer.player
where position = 1;

所以我尝试了一个工会。

(SELECT players.player_id, players.tag, players.game_race,
       earnings.tournament, earnings.player, earnings.position,
       tournaments.tournament_id, tournaments.region
  FROM players
  JOIN earnings ON players.player_id = earnings.player 
  JOIN tournaments ON earnings.tournament = tournaments.tournament_id
  where position = 1
ORDER BY players.player_id
)
UNION
(
SELECT tournament, earnings.player, prize_money, position 
FROM earnings 
join (
    SELECT player FROM earnings 
    where position = 1 group by player having count(player) > 3) 
as DupPlayer
on earnings.player=DupPlayer.player
where position = 1
);

然后我收到错误消息“使用的 SELECT 语句的列数不同”。我该如何解决这个问题？有没有比联合更好的方法？我真的不想更改我的选择语句，因为我想查看所有这些列。

【问题讨论】：

标签： mysql sql

【解决方案1】：

组合如下查询：

SELECT players.player_id, players.tag, players.game_race,
       earnings.tournament, earnings.player, earnings.position,
       tournaments.tournament_id, tournaments.region
  FROM players
  JOIN earnings ON players.player_id = earnings.player 
  JOIN (SELECT player FROM earnings 
        where position = 1 group by player having count(player) > 3) 
        as DupPlayer on earnings.player=DupPlayer.player
  JOIN tournaments ON earnings.tournament = tournaments.tournament_id
  where position = 1
ORDER BY players.player_id;

【讨论】：