左连接会导致性能大幅下降。如何修复

Question

我有 3 个单独的查询，当我通过左连接合并它们时，性能下降很大

知道为什么会发生这种情况或如何解决这个问题吗？

此处查询

第一次查询

SELECT MONEY,
       AccountLevel,
       BadgeCount,
       EloWin,
       TournamentOfficBattleTotal,
       MaximumTowerLevel,
       NpcBattleVictoryCount
FROM table_2
WHERE table_2.UserId = 465903

第二次查询

  SELECT COUNT(DISTINCT table_1.PokemonId) AS PokedexOwnage
  FROM table_1 WHERE UserId = 465903

第三次查询

  SELECT COUNT(*) AS PokedexEvent
  FROM table_3 WHERE UserId = 465903

这是我将所有 3 个合并为一个的解决方案

  SELECT MONEY,
         AccountLevel,
         BadgeCount,
         COUNT(DISTINCT table_1.PokemonId) AS PokedexOwnage,
         COUNT(DISTINCT table_3.PokemonId) AS PokedexEvent,
         EloWin,
         TournamentOfficBattleTotal,
         MaximumTowerLevel,
         NpcBattleVictoryCount
  FROM table_2
  LEFT JOIN table_1 ON table_1.UserId = table_2.UserId
  LEFT JOIN table_3 ON table_3.UserId = table_2.UserId 
  WHERE table_2.UserId = 465903
GROUP BY AccountLevel,
         BadgeCount,
         EloWin,
         TournamentOfficBattleTotal,
         MaximumTowerLevel,
         NpcBattleVictoryCount,
         MONEY

当我通过执行计划进行比较时，前 3 个查询相对于最后一个查询的成本为 0%

Answer 1

在 加入之前 聚合。一种方法是使用相关子查询：

SELECT MONEY, AccountLevel, BadgeCount, EloWin,
       TournamentOfficBattleTotal, MaximumTowerLevel, NpcBattleVictoryCount,
       (SELECT COUNT(DISTINCT t1.PokemonId)
        FROM table_1 t1
        WHERE t1.UserId = t2.UserId
       ) as PokedexOwnage,
       (SELECT COUNT(*)
        FROM table_3 t3
        WHERE t1.UserId = t3.UserId
       ) as PokedexEvent
FROM table_2 t2
WHERE t2.UserId = 465903;

这可能没问题。但为了获得更好的性能，请确保您在 table_2(UserId, PokemonId) 和 table_3(UserId).

上有索引