2016-04-13 20 views
1

我要取重复记录 如果重复记录之间的时间差是超过96小时或4天,否则忽略重复条目,并返回记录与第一个入口或最早的日期。我的表是这样的:如何返回重复的行,如果日期差等于或超过4天或96小时

ID   SDATE 
----------- ----------------------- 
1   2016-04-13 14:54:18.983 
1   2016-04-08 12:55:47.907 
2   2016-04-13 14:54:18.983 
3   2016-04-13 14:54:18.983 
4   2016-04-13 14:54:18.983 
5   2016-04-13 14:54:18.983 
5   2016-04-11 12:55:47.907 
6   2016-04-13 14:54:18.983 
6   2016-04-13 14:54:18.983 

预期结果:

ID   SDATE 
----------- ----------------------- 
1   2016-04-13 14:54:18.983 
1   2016-04-08 12:55:47.907 
2   2016-04-13 14:54:18.983 
3   2016-04-13 14:54:18.983 
4   2016-04-13 14:54:18.983  
5   2016-04-11 12:55:47.907 
6   2016-04-13 14:54:18.983 

我尝试下面的查询,但它无法正常工作。

WITH tt AS (
SELECT 1 as ID, GETDATE() as SDATE 
UNION ALL 
SELECT 1 as ID, '2016-04-09 12:55:47.907' as SDATE 
UNION ALL 
SELECT 2 as ID, GETDATE() as SDATE 
UNION ALL 
SELECT 3 as ID, GETDATE() as SDATE 
UNION ALL 
SELECT 4 as ID, GETDATE() as SDATE 
UNION ALL 
SELECT 5 as ID, GETDATE() as SDATE 
UNION ALL 
SELECT 5 as ID, '2016-04-11 12:55:47.907' as SDATE 
UNION ALL 
SELECT 6 as ID, GETDATE() as SDATE 
UNION ALL 
SELECT 6 as ID, GETDATE() as SDATE 
) 
SELECT MIN(SDATE) as SDATE, ID FROM tt as tbl 
GROUP BY ID, DATEADD(HH, DATEDIFF(HH,0,SDATE) + 96,0) 
+1

应该发生什么,如果一个'id'有以下三个记录? '{'2016-04-01 06:00:00.000','2016-04-03 18:00:00.000','2016-04-06 06:00:00.000'}'?每个记录相距不到4天,但第一个和最后一个记录相隔5天。 – MatBailie

+0

如果有3次重复的ID,第一日期,会发生什么 - '1/4/2016',第二日期 - '3/4/2016'和第三日期'4分之6/ 2016',由你的定义,第二是一个重复的第一个和第三个是第二个副本。应该删除哪个? – sagi

+2

@MatBailie哈,同样的问题,相同的日期。 – sagi

回答

1

下面的查询返回预期的结果,增加了在线评论:

-- Simply grouping each ID and get unique row with minimum date 
SELECT MIN(SDATE) [SDate], ID 
FROM tt 
GROUP BY ID 

UNION 

-- Get the row with each ID's difference is more than 96 hours 
SELECT D.MaxDate [SDate], D.ID 
FROM (
    SELECT MIN(SDATE) [MinDate], MAX(SDATE) [MaxDate], ID 
    FROM tt 
    GROUP BY ID 
) D 
WHERE DATEDIFF(HH, D.MinDate, D.MaxDate) >= 96 
+0

我不相信。如果你的日期分别是'1,4,7,10,13',那么怎么办?这个答案将返回'第1,第7,第10,第13',即使最后三个结果每个都只有3天的差距。这并不是说这是错误的,只是OP对于这种情况的要求远未明确。 – MatBailie

0

请尝试以下查询,我已经测试它工作正常。

忽略列,您可以更改时间(HH或DAY)

-- drop table #temptbl

WITH tt AS (
SELECT 1 as ID, GETDATE() as SDATE 
UNION ALL 
SELECT 1 as ID, '2016-04-09 12:55:47.907' as SDATE 
UNION ALL 
SELECT 2 as ID, GETDATE() as SDATE 
UNION ALL 
SELECT 3 as ID, GETDATE() as SDATE 
UNION ALL 
SELECT 4 as ID, GETDATE() as SDATE 
UNION ALL 
SELECT 5 as ID, GETDATE() as SDATE 
UNION ALL 
SELECT 5 as ID, '2016-04-11 12:55:47.907' as SDATE 
UNION ALL 
SELECT 6 as ID, GETDATE() as SDATE 
UNION ALL 
SELECT 6 as ID, GETDATE() as SDATE 
) 
SELECT Id,SDATE,case when DATEDIFF(HH,SDATE,GETDATE()) >94 THEN 0 else 1 end AS ignore, 
    ROW_NUMBER() OVER (PARTITION BY tt.ID ORDER BY tt.SDATE desc) as Rowid 
INTO #temptbl 
FROM tt 
SELECT Id, sdate from #temptbl 
WHERE (#temptbl.ignore = 0) or (#temptbl.Rowid = 1) 

0
declare @table table 
(
ID int,   SDATE datetime) 
insert into @table 
(
ID  ,SDATE) 
values 
(1,'2016-04-13 14:54:18'), 
(1,'2016-04-08 12:55:47'), 
(2,'2016-04-13 14:54:18'), 
(3,'2016-04-13 14:54:18'), 
(4,'2016-04-13 14:54:18'), 
(5,'2016-04-13 14:54:18'), 
(5,'2016-04-11 12:55:47'), 
(6,'2016-04-13 14:54:18'), 
(6,'2016-04-13 14:54:18') 


;with cte as 
(
select id,min(sdate) mindate,max(sdate) maxdate, datediff(dd,min(sdate),max(sdate)) daysdiff,count(*) as Dups 
from @table 
group by id 
) 
select cte.id, t.sdate 
from cte 
join @table t on t.id = cte.id 
where cte.dups > 1 and cte.daysdiff > 4 
union all 
select cte.id, 
     mindate 
from cte 
where (cte.dups > 1 and cte.daysdiff <= 4) or 
     cte.dups = 1 
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