使用 SUM() 的慢 MySQL 查询
Slow MySQL queries using SUM()
我必须在我的代码中 运行 两个查询来获取我的租户余额。但是,这些查询太慢了。
第一次查询,我得到了所有租户及其单位名称:
SELECT t.TenantID
FROM Tenants t
JOIN Units u
ON t.UnitID = u.UnitID
Where t.Prospect = 2
AND t.PropertyID = 8
ORDER
BY CONCAT(Left(Replace(UnitName,'-',''),2),
REPEAT('0', (10-CHAR_LENGTH(UnitName))),
Right(Replace(UnitName,'-',''),
CHAR_LENGTH(Replace(UnitName,'-',''))-2
) )
它returns 500 行
然后我得到了4个条件下的余额。此查询将在第一个查询循环内:
Select
SUM(CASE WHEN TransactionTypeID = 1 AND ChargeTypeID != 6 THEN TransactionAmount ELSE 0 END) AS TotalDebit,
SUM(CASE WHEN TransactionTypeID = 1 AND ChargeTypeID = 6 THEN TransactionAmount ELSE 0 END) AS HousingDebit,
SUM(CASE WHEN TransactionTypeID = 2 AND ChargeTypeID != 6 THEN TransactionAmount ELSE 0 END) AS TotalCredit,
SUM(CASE WHEN TransactionTypeID = 2 AND ChargeTypeID = 6 THEN TransactionAmount ELSE 0 END) AS HousingCredit
From TenantTransactions
Where TenantID= FirstQuery.TenantID
我查询有误吗? 运行.
大约需要 1 分钟
使用 GROUP BY
在单个查询中执行此操作。
尝试这样的事情:
SELECT t.TenantID, TotalDebit, HousingDebit, TotalCredit, HousingCredit
FROM Tenants t
JOIN Units u ON t.UnitID = u.UnitID
LEFT JOIN (
Select
TenantID,
SUM(CASE WHEN TransactionTypeID = 1 AND ChargeTypeID != 6 THEN TransactionAmount ELSE 0 END) AS TotalDebit,
SUM(CASE WHEN TransactionTypeID = 1 AND ChargeTypeID = 6 THEN TransactionAmount ELSE 0 END) AS HousingDebit,
SUM(CASE WHEN TransactionTypeID = 2 AND ChargeTypeID != 6 THEN TransactionAmount ELSE 0 END) AS TotalCredit,
SUM(CASE WHEN TransactionTypeID = 2 AND ChargeTypeID = 6 THEN TransactionAmount ELSE 0 END) AS HousingCredit
From TenantTransactions
Group By TenantID
) sums ON sums.TenantID = t.TenantID
Where t.Prospect = 2
AND t.PropertyID = 8
ORDER
BY CONCAT(Left(Replace(UnitName,'-',''),2),REPEAT('0', (10-CHAR_LENGTH(UnitName))),Right(Replace(UnitName,'-',''),CHAR_LENGTH(Replace(UnitName,'-',''))-2))
内部查询可能仍然 运行 一段时间,但它只会 运行 一次。
在 TenantTransactions
上尝试包含以下列的复合覆盖索引:(TenantID, TransactionTypeID, ChargeTypeID, TransactionAmount)
以优化其中包含 SUM 的查询。
在 Tenants
上尝试使用其中包含列 (PropertyID, Prospect)
的复合索引。
这是使用子查询的另一种方法。要知道,性能问题可能不是数据库性能,而是你的数据库和应用服务器之间的来回。所以这就是单个查询会有所帮助的地方。
SELECT t.TenantID,
(SELECT SUM(CASE WHEN TransactionTypeID = 1 AND ChargeTypeID != 6 THEN TransactionAmount ELSE 0 END) From TenantTransactions TT WHERE TT.TenantID=t.TenantID) AS TotalDebit,
(SELECT SUM(CASE WHEN TransactionTypeID = 1 AND ChargeTypeID = 6 THEN TransactionAmount ELSE 0 END) From TenantTransactions TT WHERE TT.TenantID=t.TenantID) AS HousingDebit,
(SELECT SUM(CASE WHEN TransactionTypeID = 2 AND ChargeTypeID != 6 THEN TransactionAmount ELSE 0 END) From TenantTransactions TT WHERE TT.TenantID=t.TenantID) AS TotalCredit,
(SELECT SUM(CASE WHEN TransactionTypeID = 2 AND ChargeTypeID = 6 THEN TransactionAmount ELSE 0 END) From TenantTransactions TT WHERE TT.TenantID=t.TenantID) AS HousingCredit
FROM Tenants t
JOIN Units u
ON t.UnitID = u.UnitID
Where t.Prospect = 2
AND t.PropertyID = 8
ORDER
BY CONCAT(Left(Replace(UnitName,'-',''),2),REPEAT('0', (10-CHAR_LENGTH(UnitName))),Right(Replace(UnitName,'-',''),CHAR_LENGTH(Replace(UnitName,'-',''))-2))
我必须在我的代码中 运行 两个查询来获取我的租户余额。但是,这些查询太慢了。
第一次查询,我得到了所有租户及其单位名称:
SELECT t.TenantID
FROM Tenants t
JOIN Units u
ON t.UnitID = u.UnitID
Where t.Prospect = 2
AND t.PropertyID = 8
ORDER
BY CONCAT(Left(Replace(UnitName,'-',''),2),
REPEAT('0', (10-CHAR_LENGTH(UnitName))),
Right(Replace(UnitName,'-',''),
CHAR_LENGTH(Replace(UnitName,'-',''))-2
) )
它returns 500 行
然后我得到了4个条件下的余额。此查询将在第一个查询循环内:
Select
SUM(CASE WHEN TransactionTypeID = 1 AND ChargeTypeID != 6 THEN TransactionAmount ELSE 0 END) AS TotalDebit,
SUM(CASE WHEN TransactionTypeID = 1 AND ChargeTypeID = 6 THEN TransactionAmount ELSE 0 END) AS HousingDebit,
SUM(CASE WHEN TransactionTypeID = 2 AND ChargeTypeID != 6 THEN TransactionAmount ELSE 0 END) AS TotalCredit,
SUM(CASE WHEN TransactionTypeID = 2 AND ChargeTypeID = 6 THEN TransactionAmount ELSE 0 END) AS HousingCredit
From TenantTransactions
Where TenantID= FirstQuery.TenantID
我查询有误吗? 运行.
大约需要 1 分钟使用 GROUP BY
在单个查询中执行此操作。
尝试这样的事情:
SELECT t.TenantID, TotalDebit, HousingDebit, TotalCredit, HousingCredit
FROM Tenants t
JOIN Units u ON t.UnitID = u.UnitID
LEFT JOIN (
Select
TenantID,
SUM(CASE WHEN TransactionTypeID = 1 AND ChargeTypeID != 6 THEN TransactionAmount ELSE 0 END) AS TotalDebit,
SUM(CASE WHEN TransactionTypeID = 1 AND ChargeTypeID = 6 THEN TransactionAmount ELSE 0 END) AS HousingDebit,
SUM(CASE WHEN TransactionTypeID = 2 AND ChargeTypeID != 6 THEN TransactionAmount ELSE 0 END) AS TotalCredit,
SUM(CASE WHEN TransactionTypeID = 2 AND ChargeTypeID = 6 THEN TransactionAmount ELSE 0 END) AS HousingCredit
From TenantTransactions
Group By TenantID
) sums ON sums.TenantID = t.TenantID
Where t.Prospect = 2
AND t.PropertyID = 8
ORDER
BY CONCAT(Left(Replace(UnitName,'-',''),2),REPEAT('0', (10-CHAR_LENGTH(UnitName))),Right(Replace(UnitName,'-',''),CHAR_LENGTH(Replace(UnitName,'-',''))-2))
内部查询可能仍然 运行 一段时间,但它只会 运行 一次。
在 TenantTransactions
上尝试包含以下列的复合覆盖索引:(TenantID, TransactionTypeID, ChargeTypeID, TransactionAmount)
以优化其中包含 SUM 的查询。
在 Tenants
上尝试使用其中包含列 (PropertyID, Prospect)
的复合索引。
这是使用子查询的另一种方法。要知道,性能问题可能不是数据库性能,而是你的数据库和应用服务器之间的来回。所以这就是单个查询会有所帮助的地方。
SELECT t.TenantID,
(SELECT SUM(CASE WHEN TransactionTypeID = 1 AND ChargeTypeID != 6 THEN TransactionAmount ELSE 0 END) From TenantTransactions TT WHERE TT.TenantID=t.TenantID) AS TotalDebit,
(SELECT SUM(CASE WHEN TransactionTypeID = 1 AND ChargeTypeID = 6 THEN TransactionAmount ELSE 0 END) From TenantTransactions TT WHERE TT.TenantID=t.TenantID) AS HousingDebit,
(SELECT SUM(CASE WHEN TransactionTypeID = 2 AND ChargeTypeID != 6 THEN TransactionAmount ELSE 0 END) From TenantTransactions TT WHERE TT.TenantID=t.TenantID) AS TotalCredit,
(SELECT SUM(CASE WHEN TransactionTypeID = 2 AND ChargeTypeID = 6 THEN TransactionAmount ELSE 0 END) From TenantTransactions TT WHERE TT.TenantID=t.TenantID) AS HousingCredit
FROM Tenants t
JOIN Units u
ON t.UnitID = u.UnitID
Where t.Prospect = 2
AND t.PropertyID = 8
ORDER
BY CONCAT(Left(Replace(UnitName,'-',''),2),REPEAT('0', (10-CHAR_LENGTH(UnitName))),Right(Replace(UnitName,'-',''),CHAR_LENGTH(Replace(UnitName,'-',''))-2))