2016-04-13 22 views
1

我要取重複記錄 如果重複記錄之間的時間差是超過96小時或4天,否則忽略重複條目,並返回記錄與第一個入口或最早的日期。我的表是這樣的:如何返回重複的行,如果日期差等於或超過4天或96小時

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 

預期結果:

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 

我嘗試下面的查詢,但它無法正常工作。

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

應該發生什麼,如果一個'id'有以下三個記錄? '{'2016-04-01 06:00:00.000','2016-04-03 18:00:00.000','2016-04-06 06:00:00.000'}'?每個記錄相距不到4天,但第一個和最後一個記錄相隔5天。 – MatBailie

+0

如果有3次重複的ID,第一日期,會發生什麼 - '1/4/2016',第二日期 - '3/4/2016'和第三日期'4分之6/ 2016',由你的定義,第二是一個重複的第一個和第三個是第二個副本。應該刪除哪個? – sagi

+2

@MatBailie哈,同樣的問題,相同的日期。 – sagi

回答

1

下面的查詢返回預期的結果,增加了在線評論:

-- 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。如果你的日期分別是'1,4,7,10,13',那麼怎麼辦?這個答案將返回'第1,第7,第10,第13',即使最後三個結果每個都只有3天的差距。這並不是說這是錯誤的,只是OP對於這種情況的要求遠未明確。 – MatBailie

0

請嘗試以下查詢,我已經測試它工作正常。

忽略列,您可以更改時間(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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