在 MySQL 中加入了多个多对多关系

Multiple Many to Many Relationships JOINed in MySQL

对于我正在从事的项目,我正在尝试查询时钟,但是当我 LEFT JOIN 多个多对多(或者在单个用户的记录意义上,1 对多)时,它会创建重复的条目,所以当它被分组时,总计不正确。

给定以下模拟架构:

还有一个查询:

SELECT
UserTbl.UserID,
CONCAT_WS(", ", UserTbl.LastName, UserTbl.FirstName) AS UserName,
SUM(TIMESTAMPDIFF(MINUTE,  TimeClockTbl.StartDateTime, TimeClockTbl.EndDateTime)) AS ClockedInMinutes,
FROM
Users AS UserTbl
LEFT JOIN
TimeClock AS TimeClockTbl
ON UserTbl.UserID = TimeClockTbl.UserID
LEFT JOIN
UserRoles AS UserRoleTbl
ON UserTbl.UserID = UserRoleTbl.UserID
WHERE
UserRoleTbl.RoleID IN (1,2,3)
GROUP BY
UserTbl.UserID
ORDER BY
UserTbl.LastName ASC,
UserTbl.FirstName ASC;

如果用户只分配了 1 个角色,则效果很好,但如果分配了第二个或第三个角色,则最终结果似乎成倍增加。我考虑过对角色使用 GROUP_CONCAT 并在之后进行过滤,但这似乎效率不高。我还考虑过使用子查询来计算给定用户的计时时间,但我认为这会产生相同的结果。同样重要的是要注意,这被缩放为具有多个条目的 TimeClock table,以及具有多个条目的 Scheduled table。

我怎样才能以相当高的效率做到这一点?

简单的决定:

SELECT UserTbl.UserID,
       CONCAT_WS(", ", UserTbl.LastName, UserTbl.FirstName) AS UserName,
       SUM(TIMESTAMPDIFF(MINUTE, TimeClockTbl.StartDateTime, TimeClockTbl.EndDateTime)) AS ClockedInMinutes,
  FROM Users AS UserTbl
  LEFT JOIN TimeClock AS TimeClockTbl ON UserTbl.UserID = TimeClockTbl.UserID
 WHERE UserTbl.UserID IN( SELECT UserID FROM UserRoles WHERE RoleID IN (1,2,3) )
 GROUP BY UserTbl.UserID
 ORDER BY UserTbl.LastName ASC, UserTbl.FirstName ASC;

类似情况的概念 - 一致连接:

SELECT A.*,
       SUM(TIMESTAMPDIFF(MINUTE, TimeClockTbl.StartDateTime, TimeClockTbl.EndDateTime)) AS ClockedInMinutes,
       MAX(A.RolesTitle) AS RolesTitle
  FROM (
        SELECT UserTbl.UserID,
               CONCAT_WS(", ", UserTbl.LastName, UserTbl.FirstName) AS UserName,
               FirstName, LastName,
               GROUP_CONCAT(Roles.Title) as RolesTitle
          FROM Users AS UserTbl
          JOIN UserRoles AS UserRoleTbl  ON UserTbl.UserID = UserRoleTbl.UserID
          JOIN Roles ON Roles.RoleID=UserRoleTbl.RoleID
         WHERE UserRoleTbl.RoleID IN (1,2,3)
         GROUP BY UserTbl.UserID
       ) A
  LEFT JOIN TimeClock AS TimeClockTbl ON A.UserID = TimeClockTbl.UserID
 GROUP BY A.UserID
 ORDER BY A.LastName ASC, A.FirstName ASC;