Hkey | Observation dt| Retriment_dt | Name |Code | Masterkey
---------+------------+------
23 10/8/2018 01/01/3030 Sam XYZ 99
23 10/8/2018 01/01/3030 Sam XYZ 98
23 10/8/2018 01/01/3030 Sam XYZ 97
21 11/8/2018 01/01/3030 JOHN TGI 65
21 11/8/2018 01/01/3030 JOHN TGI 64
21 11/8/2018 01/01/3030 JOHN TGI 63
30 11/8/2018 01/01/3030 Chris MNY 70
好，所以假设我有这个表并且我的表总数超过一百万，我想为重复的行更新表（Observation dt和retirement dt）-我不想更新所有表观察日期为同一日期，但我希望它们一天之内会有所不同。我已经在下面手动输入了。如何在Sql或SSIS或任何编程语言中执行此操作。这是Mssql Db表。我是sql新手，将不胜感激。谢谢！
HKey和Observation_dt的组合是主键，当我应用约束时，它将引发错误，因此我试图通过更改两个retirement_dt来撤消所有重复记录。和observation_dt。 Retirement dt将是今天的日期，而observation_dt可以是任意一个date-1（每个重复的日期递增）
代码运行时的外观
Hkey | Observation dt| Retriment_dt | Name |Code | Masterkey
---------+------------+------
23 10/8/2018 01/01/3030 Sam XYZ 99
23 10/7/2018 12/17/2018 Sam XYZ 98
23 10/6/2018 12/17/2018 Sam XYZ 97
21 11/8/2018 01/01/3030 JOHN TGI 65
21 11/7/2018 12/17/2018 JOHN TGI 64
21 11/6/2018 12/17/2018 JOHN TGI 63
30 11/8/2018 01/01/3030 Chris MNY 70
答案 0 :(得分：0)
您可以使用以下解决方案：
IF OBJECT_ID('tempdb..#YourTable') IS NOT NULL
DROP TABLE #YourTable
SELECT
V.Hkey,
[Observation dt] = CONVERT(DATE, V.[Observation dt]),
[Retriment_dt] = CONVERT(DATE, V.[Retriment_dt])
INTO
#YourTable
FROM
(VALUES
(23,'2018-08-10','3030-01-01'),
(23,'2018-08-10','3030-01-01'),
(23,'2018-08-10','3030-01-01'),
(21,'2018-08-10','3030-01-01'),
(21,'2018-08-10','3030-01-01'),
(21,'2018-08-10','3030-01-01'),
(30,'2018-08-10','3030-01-01')) V(Hkey, [Observation dt], [Retriment_dt])
;WITH DuplicateRecords AS
(
SELECT
T.HKey,
T.[Observation dt]
FROM
#YourTable T
GROUP BY
T.HKey,
T.[Observation dt]
HAVING
COUNT(1) > 1
),
RowNumber AS
(
SELECT
T.Hkey,
T.[Observation dt],
T.[Retriment_dt],
RowNumberByHkey = ROW_NUMBER() OVER (PARTITION BY T.Hkey ORDER BY T.[Observation dt], T.[Retriment_dt])
FROM
#YourTable AS T
INNER JOIN DuplicateRecords AS D ON
T.Hkey = D.Hkey AND
T.[Observation dt] = D.[Observation dt]
),
UpdatedValues AS
(
SELECT
R.Hkey,
R.[Observation dt],
R.[Retriment_dt],
NewObservationDT = DATEADD(
DAY,
-1 * (R.RowNumberByHkey - 1),
R.[Observation dt]),
NewRetirementDT = GETDATE(),
R.RowNumberByHkey
FROM
RowNumber AS R
),
RecordsToUpdate AS
(
-- Need a row number to be able to update correctly, since the record is duplicated (need an ID to join)
SELECT
T.Hkey,
T.[Observation dt],
T.[Retriment_dt],
RowNumberByHkey = ROW_NUMBER() OVER (PARTITION BY T.Hkey ORDER BY T.[Observation dt], T.[Retriment_dt])
FROM
#YourTable AS T
)
UPDATE T SET
[Observation dt] = R.NewObservationDT,
[Retriment_dt] = R.NewRetirementDT
FROM
RecordsToUpdate AS T
INNER JOIN UpdatedValues AS R ON
T.HKey = R.HKey AND
T.[Observation dt] = R.[Observation dt] AND
T.RowNumberByHkey = R.RowNumberByHkey
SELECT
*
FROM
#YourTable AS T
ORDER BY
T.Hkey,
T.[Observation dt] DESC
结果：
Hkey Observation dt Retriment_dt
21 2018-08-10 2018-12-18
21 2018-08-09 2018-12-18
21 2018-08-08 2018-12-18
23 2018-08-10 2018-12-18
23 2018-08-09 2018-12-18
23 2018-08-08 2018-12-18
30 2018-08-10 3030-01-01
这有点棘手，因为您需要更新每个记录具有不同值的重复记录，因此您需要生成某种唯一的ID（我使用行号）来匹配它们。
生成不同日期的方法是应用行号为DATEADD的{{1}}。这会产生不同的日期，相差1天。
答案 1 :(得分：0)
使用温度表：
Create Table #tbl
(
hkey Int,
Observation Date,
Retriment Date
)
Insert Into #tbl Values
(23,'2018-10-08','3030-01-01'),
(23,'2018-10-08','3030-01-01'),
(23,'2018-10-08','3030-01-01'),
(21,'2018-11-08','3030-01-01'),
(21,'2018-11-08','3030-01-01'),
(21,'2018-11-08','3030-01-01'),
(30,'2018-11-08','3030-01-01')
Select Row_Number() OVER(Order By (Select Null)) As raworder,* Into #temp From #tbl
Select hkey,
DateAdd(Day,-Row_Number() Over (Partition By hkey Order By hkey)+1 , Observation) As newDT,
Case When (Row_Number() Over (Partition By hkey Order By hkey) = 1) Then Retriment Else Convert(Date,GetDate()) End As Retriment
From #temp
Order By raworder
结果：
hkey newDT Retriment
23 2018-10-08 3030-01-01
23 2018-10-07 2018-12-18
23 2018-10-06 2018-12-18
21 2018-11-08 3030-01-01
21 2018-11-07 2018-12-18
21 2018-11-06 2018-12-18
30 2018-11-08 3030-01-01
答案 2 :(得分：0)
我的同事以类似的方式进行了此操作，但是感谢您的答复。我已经发布了使用的代码。
SELECT [healthplanentryhistory_avi_hkey]
,[effective_date]
,[expiration_date]
,[healthplanentryhistoryid]
,[hospitalmasterid]
,[plancode]
,[plangeneration]
,[code]
,[pawvalue]
,[quantitycoveredbyplan]
,[healthplanentrymasterid]
,[healthplanentryid]
,[healthplanid]
,[lastupdate]
,[origpawvalue]
,[active_ind]
,[hash_diff]
,[source_sys_id]
,[create_date]
,[update_date]
,cnt
,Rank
INTO ##tmphph
FROM (
SELECT *
,COUNT(*) OVER (PARTITION BY [healthplanentryhistory_avi_hkey]) AS cnt
,RANK() OVER (
PARTITION BY [healthplanentryhistory_avi_hkey] ORDER BY healthplanentryhistoryid DESC
) AS Rank
FROM [atf_healthplanentryhistory_avi]
) AS t
WHERE t.cnt > 1
AND t.rank > 1
ORDER BY healthplanentryhistoryid DESC;
---SELECT * FROM ##tmphph where healthplanentryhistory_avi_hkey = 0x039E7D809F8138B703FC9991E9D8F655
MERGE INTO [atf_healthplanentryhistory_avi] atf
USING ##tmphph TEMP
ON atf.healthplanentryhistory_avi_hkey = TEMP.[healthplanentryhistory_avi_hkey]
AND atf.effective_date = TEMP.effective_date
AND atf.healthplanentryhistoryid = TEMP.healthplanentryhistoryid
AND TEMP.rank > 1
WHEN MATCHED
THEN
UPDATE
SET atf.effective_date = getdate() - TEMP.rank /*This will update the effective_date to efective_date - rank#*/
,expiration_date = getdate() - TEMP.rank
,active_ind = 0;
DROP TABLE ##tmphph