请参阅下面的代码,因为它与CROSS APPLY的运行速度太慢了。
如何删除CROSS APPLY并添加其他可以更快运行的内容? 请注意我使用的是SQL Server 2008 R2。
;WITH MyCTE AS
(
SELECT
R.NetWinCURRENCYValue AS NetWin
,dD.[Date] AS TheDay
FROM
dimPlayer AS P
JOIN
dbo.factRevenue AS R ON P.playerKey = R.playerKey
JOIN
dbo.vw_Date AS dD ON Dd.dateKey = R.dateKey
WHERE
P.CustomerID = 12345)
SELECT
A.TheDay AS [Date]
,ISNULL(A.NetWin, 0) AS NetWin
,rt.runningTotal AS CumulativeNetWin
FROM MyCTE AS A
CROSS APPLY (SELECT SUM(NetWin) AS runningTotal
FROM MyCTE WHERE TheDay <= A.TheDay) AS rt
ORDER BY A.TheDay
答案 0 :(得分:0)
这里https://stackoverflow.com/a/13744550/613130建议使用递归CTE。
;WITH MyCTE AS
(
SELECT
R.NetWinCURRENCYValue AS NetWin
,dD.[Date] AS TheDay
,ROW_NUMBER() OVER (ORDER BY dD.[Date]) AS RN
FROM dimPlayer AS P
JOIN dbo.factRevenue AS R ON P.playerKey = R.playerKey
JOIN dbo.vw_Date AS dD ON Dd.dateKey = R.dateKey
WHERE P.CustomerID = 12345
)
, MyCTERec AS
(
SELECT C.TheDay AS [Date]
,ISNULL(C.NetWin, 0) AS NetWin
,ISNULL(C.NetWin, 0) AS CumulativeNetWin
,C.RN
FROM MyCTE AS C
WHERE C.RN = 1
UNION ALL
SELECT C.TheDay AS [Date]
,ISNULL(C.NetWin, 0) AS NetWin
,P.CumulativeNetWin + ISNULL(C.NetWin, 0) AS CumulativeNetWin
,C.RN
FROM MyCTERec P
INNER JOIN MyCTE AS C ON C.RN = P.RN + 1
)
SELECT *
FROM MyCTERec
ORDER BY RN
OPTION (MAXRECURSION 0)
请注意,如果您有1条记录== 1天,此查询将有效!如果一天中有多条记录,则结果将与其他查询不同。
答案 1 :(得分:0)
CREATE TABLE #temp (NetWin money, TheDay datetime)
insert into #temp
SELECT
R.NetWinCURRENCYValue AS NetWin
,dD.[Date] AS TheDay
FROM
dimPlayer AS P
JOIN
dbo.factRevenue AS R ON P.playerKey = R.playerKey
JOIN
dbo.vw_Date AS dD ON Dd.dateKey = R.dateKey
WHERE
P.CustomerID = 12345;
SELECT
A.TheDay AS [Date]
,ISNULL(A.NetWin, 0) AS NetWin
,SUM(B.NetWin) AS CumulativeNetWin
FROM #temp AS A
JOIN #temp AS B
ON A.TheDay >= B.TheDay
GROUP BY A.TheDay, ISNULL(A.NetWin, 0);
答案 2 :(得分:0)
正如我所说here,如果你想要快速计算,请将其放入带有顺序主键的临时表中,然后计算滚动总数:
create table #Temp (
ID bigint identity(1, 1) primary key,
[Date] date,
NetWin decimal(29, 10)
)
insert into #Temp ([Date], NetWin)
select
dD.[Date],
sum(R.NetWinCURRENCYValue) as NetWin,
from dbo.dimPlayer as P
inner join dbo.factRevenue as R on P.playerKey = R.playerKey
inner join dbo.vw_Date as dD on Dd.dateKey = R.dateKey
where P.CustomerID = 12345
group by dD.[Date]
order by dD.[Date]
;with cte as (
select T.ID, T.[Date], T.NetWin, T.NetWin as CumulativeNetWin
from #Temp as T
where T.ID = 1
union all
select T.ID, T.[Date], T.NetWin, T.NetWin + C.CumulativeNetWin as CumulativeNetWin
from cte as C
inner join #Temp as T on T.ID = C.ID + 1
)
select C.[Date], C.NetWin, C.CumulativeNetWin
from cte as C
order by C.[Date]
我假设您可以在输入中重复日期,但不要在输出中重复,因此我在将数据放入表格之前对其进行分组。