Question

我们有一个transact sql语句，用于查询4个表，每个表中包含数百万行。

虽然根据TuningAdvisor对索引和统计数据进行了优化，但需要几分钟时间。

查询的结构如下：

SELECT E.EmployeeName
    , SUM(M.Amount) AS TotalAmount
    , SUM(B.Amount) AS BudgetAmount
    , SUM(T.Hours) AS TotalHours
    , SUM(TB.Hours) AS BudgetHours
    , SUM(CASE WHEN T.Type = 'Waste' THEN T.Hours ELSE 0 END) AS WastedHours
FROM Employees E
LEFT JOIN MoneyTransactions M
    ON E.EmployeeID = M.EmployeeID
LEFT JOIN BudgetTransactions B
    ON E.EmployeeID = B.EmployeeID
LEFT JOIN TimeTransactions T
    ON E.EmployeeID = T.EmployeeID
LEFT JOIN TimeBudgetTransactions TB
    ON E.EmployeeID = TB.EmployeeID
GROUP BY E.EmployeeName

由于每个事务表包含数百万行，我考虑使用@real，@budget和@hours等表变量将每个事务表拆分为一个查询，然后加入最后SELECT中的这些。但在测试中它似乎没有加速。

为了加快速度，你会如何应对？

Answer 1

我不确定您发布的查询是否会产生您期望的结果。

它将交叉连接所有维度表（MoneyTransactions等）并将所有结果相乘。

试试这个：

SELECT  E.EmployeeName,
        (
        SELECT  SUM(amount)
        FROM    MoneyTransactions m
        WHERE   M.EmployeeID = E.EmployeeID
        ) AS TotalAmount,
        (
        SELECT  SUM(amount)
        FROM    BudgetTransactions m
        WHERE   M.EmployeeID = E.EmployeeID
        ) AS BudgetAmount,
        (
        SELECT  SUM(hours)
        FROM    TimeTransactions m
        WHERE   M.EmployeeID = E.EmployeeID
        ) AS TotalHours,
        (
        SELECT  SUM(hours)
        FROM    TimeBudgetTransactions m
        WHERE   M.EmployeeID = E.EmployeeID
        ) AS BudgetHours
FROM    Employees E

Answer 2

我不知道你的表上是否有所有索引可以加快速度，但拥有大表会对查询时间产生影响。如果可能的话，我建议对表进行分区。这是更多的工作，但是你现在所做的一切都是为了加快查询速度，在几百万条新记录之后它还不够。

Answer 3

尝试这个：

SELECT E.EmployeeName, TA.TotalAmount, BA.BudgetAmount, TWH.TotalHours, BH.BudgetHours, TWH.WastedHours
FROM Employees E
LEFT JOIN 
(SELECT E.EmployeeID, SUM(M.Amount) AS TotalAmount
FROM Employees E INNER JOIN MoneyTransactions M ON E.EmployeeID = M.EmployeeID GROUP BY E.EmployeeID)TA
ON E.EmployeeID = TA.EmployeeID
LEFT JOIN 
(SELECT E.EmployeeID , SUM(B.Amount) AS BudgetAmount
FROM Employees E INNER JOIN BudgetTransactions B ON E.EmployeeID = B.EmployeeID GROUP BY E.EmployeeID)BA
ON E.EmployeeID = BA.EmployeeID
LEFT JOIN 
(SELECT E.EmployeeID , SUM(T.Hours) AS TotalHours , SUM(CASE WHEN T.Type = 'Waste' THEN T.Hours ELSE 0 END) AS WastedHours
FROM Employees E INNER JOIN TimeTransactions T ON E.EmployeeID = T.EmployeeID GROUP BY E.EmployeeID)TWH
ON E.EmployeeID = TWH.EmployeeID
LEFT JOIN 
(SELECT E.EmployeeID , SUM(TB.Hours) AS BudgetHours
FROM Employees E INNER JOIN TimeBudgetTransactions TB ON E.EmployeeID = TB.EmployeeID GROUP BY E.EmployeeID)BH
ON E.EmployeeID = BH.EmployeeID

具有数百万行的四个表之间的连接的SQL查询

3 个答案: