Several methods of SQL duplicate record query _mssql

Source: Internet
Author: User
Tags repetition rowcount

1, look for redundant records in the table, duplicate records are based on a single field (Peopleid) to judge

Copy Code code as follows:

SELECT * from People
where Peopleid in (select Peopleid from People GROUP by Peopleid has count

(Peopleid) > 1)


2, delete redundant records in the table, duplicate records are based on a single field (Peopleid) to judge, leaving only rowid minimal records
Copy Code code as follows:

Delete from people
where Peopleid in (select Peopleid from People GROUP by Peopleid has count

(Peopleid) > 1)
and rowID not in (select min (rowid) from people GROUP by Peopleid has count (Peopleid

) >1)


3. Find redundant records in the table (multiple fields)
Copy Code code as follows:

SELECT * FROM Vitae a
where (A.PEOPLEID,A.SEQ) in (select Peopleid,seq from Vitae GROUP by Peopleid,seq has

COUNT (*) > 1)


4, delete redundant records in the table (multiple fields), leaving only the smallest ROWID records
Copy Code code as follows:

Delete from Vitae a
where (A.PEOPLEID,A.SEQ) in (select Peopleid,seq from Vitae GROUP by Peopleid,seq has

COUNT (*) > 1)
and rowID not in (select min (rowid) from Vitae GROUP by PEOPLEID,SEQ have Count (*) >1)


5, look for redundant records in the table (multiple fields), does not contain the smallest ROWID records
Copy Code code as follows:

SELECT * FROM Vitae a
where (A.PEOPLEID,A.SEQ) in (select Peopleid,seq from Vitae GROUP by Peopleid,seq has

COUNT (*) > 1)
and rowID not in (select min (rowid) from Vitae GROUP by PEOPLEID,SEQ have Count (*) >1)


Two
Say
There is a field "name" in Table A,
and the "name" value may be the same between different records,
Now you need to query the records in the table, the "name" value duplicates the item;
Copy Code code as follows:

Select Name,count (*) from-A Group by Name has Count (*) > 1

If the same gender is also the same large as the following:
Copy Code code as follows:

Select Name,sex,count (*) from-A Group by Name,sex have Count (*) > 1

Three
Method One
Copy Code code as follows:

Declare @max integer, @id integer
Declare cur_rows cursor Local for select main field, COUNT (*) from table name Group by main Field having

COUNT (*) >; 1
Open Cur_rows
Fetch cur_rows into @id, @max
While @ @fetch_status =0
Begin
Select @max = @max-1
SET ROWCOUNT @max
Delete from table name where main field = @id
Fetch cur_rows into @id, @max
End
Close Cur_rows
SET ROWCOUNT 0


Method Two

There are two duplicate records, one is a completely duplicate record, that is, all the fields are duplicate records, and the second is that some key fields are heavy

Duplicate records, such as the Name field repeats, and other fields do not necessarily repeat or repeat to ignore.

1, for the first repetition, easier to solve, the use of

Copy Code code as follows:

SELECT DISTINCT * FROM tablename

You can get a result set without duplicate records.

If the table needs to delete duplicate records (1 of duplicate records are retained), you can delete them in the following ways

Copy Code code as follows:

SELECT DISTINCT * into #Tmp tablename
DROP TABLE TableName
SELECT * INTO TableName from #Tmp
drop table #Tmp

This duplication occurs because the table is poorly designed and can be resolved by adding a unique index column.

2. This type of repetition usually requires the first record in the duplicate record to be retained, as follows

Suppose there is a duplicate field of name,address that requires a unique result set for both fields

Copy Code code as follows:

Select Identity (int,1,1) as Autoid, * into #Tmp from TableName
Select min (autoid) as autoid into #Tmp2 from #Tmp Group by name,autoid
SELECT * from #Tmp where autoid in (select Autoid from #tmp2)

The last select gets the name,address result set (but one more autoid field, which can be written when it is actually written).

Omit this column in the SELECT clause)

(iv) Duplication of enquiries

Copy Code code as follows:

SELECT * FROM tablename where ID in (
Select ID from tablename
GROUP BY ID
Having count (ID) > 1
)

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