我有一张这样的表:
RecordID TransDate
1 05-Oct-16 9:33:32 AM
2 05-Oct-16 9:33:37 AM
3 05-Oct-16 9:33:41 AM
4 05-Oct-16 9:33:46 AM
5 05-Oct-16 9:33:46 AM
我需要获得连续TransDate
值之间的差异。我正在使用SQL Server 2014,并且知道使用LAG函数执行此操作的方法,但我不知道如何执行此操作。
我需要这个输出:
RecordID TransDate Diff
1 05-Oct-16 9:33:32 AM 0:00:00
2 05-Oct-16 9:33:37 AM 0:00:05
3 05-Oct-16 9:33:41 AM 0:00:04
4 05-Oct-16 9:33:46 AM 0:00:05
5 05-Oct-16 9:33:46 AM 0:00:00
有什么想法吗?
提前致谢!
答案 0 :(得分:3)
这个怎么样:
select recordid, transdate,
cast( (transdate - lag(transdate) over (order by transdate)) as time) as diff
from t;
换句话说,您可以减去两个datetime
值并将结果转换为时间。然后,您可以根据需要格式化结果。
答案 1 :(得分:1)
非滞后/领导方法......
select T1.recordId, T1.TransDate, datediff(ss, T1.TransDate, T2.Transdate) as Diff
from Table1 T1
left join Table1 T2
on T1.Recordid = T2.RecordId +1
答案 2 :(得分:0)
也许有点hacky:
SELECT RecordId / 2 AS id, min(TransDate) AS TransDate, max(TransDate) - min(TransDate) AS Diff GROUP BY RecordId / 2
未经测试,因为我现在没有可用的SQL Server。
答案 3 :(得分:0)
尝试创建游标以获取日期差。
--- Query to get date difference between two rows
declare @table table (olddate datetime, newdate datetime)
create table #table (olddate datetime, newdate datetime)
DECLARE db_cursor CURSOR FOR
SELECT CONVERT(date,[utl_recycle_date] ) as RecycleDate
FROM XYZ
WHERE account_number = '6900' AND match_status = 'F'
AND [utl_recycle_date] IS NOT NULL
AND [utl_recycle_date] > '11/01/2018'
GROUP BY DATEDIFF(DAY, CONVERT(date,[utl_recycle_date] ), CONVERT(date, GETDATE())),CONVERT(date,[utl_recycle_date] )
ORDER BY 1
DECLARE @RecycleDate datetime
DECLARE @NewDate datetime
OPEN db_cursor
FETCH next FROM db_cursor INTO @RecycleDate
WHILE @@FETCH_STATUS = 0
BEGIN
FETCH next FROM db_cursor INTO @NewDate
insert INTO #table (olddate, newdate) values (cast(@RecycleDate as date), cast(@NewDate as date))
set @RecycleDate = @NewDate
END
CLOSE db_cursor
DEALLOCATE db_cursor
select
olddate, newdate,
CASE
WHEN DATEDIFF(DAY, olddate, newdate) = 0 THEN 1
WHEN DATEDIFF(DAY, olddate, newdate) > 0 THEN DATEDIFF(DAY, olddate, newdate)
END AS RecyclerFrequency
FROM #table
drop table #table