How to remove duplicates from table using SQL query

Question

I have a table which is as follows:

emp_name   emp_address  sex  matial_status  
uuuu       eee          m    s
iiii       iii          f    s
uuuu       eee         


        

Answer 1

If you are okay with trading space for performance and simplicity then the duplicates in emp_name | emp_address | sex combo can be eliminated, by the introduction of a calculated/derived column using CHECKSUM() TSQL method and DISTINCT keyword while querying.

Heres an example of CHECKSUM :

SELECT CHECKSUM(*) FROM HumanResources.Employee WHERE EmployeeID = 2

Google around and create a dependent column that contains the checksum of the 3 columns. Then you can select distinct rows by looking at this question

Answer 2

This is not a query but a delete statement. It will delete/remove duplicate rows from your table

;with C as
(
  select row_number() over(partition by DUPLICATE_VAARS_DECISION 
                           order by NODE_EQ_NO) as rn
  from yourtable
)
delete C
where rn > 1

If you are only interested in querying the table and get the non duplicates as a result you should use this instead.

;with C as
(
  select *,
         row_number() over(partition by DUPLICATE_VAARS_DECISION 
                           order by NODE_EQ_NO) as rn
  from yourtable
)
select *
from C
where rn = 1

Answer 3

It looks like all four column values are duplicated so you can do this -

select distinct emp_name, emp_address, sex, marital_status
from YourTable

However if marital status can be different and you have some other column based on which to choose (for eg you want latest record based on a column create_date) you can do this

select emp_name, emp_address, sex, marital_status
from YourTable a
where not exists (select 1 
                   from YourTable b
                  where b.emp_name = a.emp_name and
                        b.emp_address = a.emp_address and
                        b.sex = a.sex and
                        b.create_date >= a.create_date)

Answer 4

one way

select emp_name,   emp_address,  sex,  max(marital_status) as marital_status
from Yourtable
group by emp_name,   emp_address,  sex

Since I don't know what you want, I used max for the marital status

See also Including an Aggregated Column's Related Values for more examples

Answer 5

I would create a new table with a unique index over the columns that you want to keep unique. Then do an insert from the old table into the new, ignoring the warnings about duplicated rows. Lastly, I would drop (or rename) the old table and replace it with the new table. In MySQL, this would look like

CREATE TABLE tmp LIKE mytable;
ALTER TABLE tmp ADD UNIQUE INDEX myindex (emp_name, emp_address, sex, marital_status);
INSERT IGNORE INTO tmp SELECT * FROM mytable;
DROP TABLE mytable;
RENAME TABLE tmp TO mytable;

Or something similar (this is totally untested).

Answer 6

The best answer is here:
Use this SQL statement to identify the extra duplicated rows:

 select * from Employee a 

    where %%physloc%% > 

        (select min(%%physloc%%) from Employee b 

            where a.emp_name=b.emp_name and a.emp_address=b.emp_address and a.sex=b.sex); 

you will get the extra row:

uuuu   eee m   s 

Use this SQL statement to delete the extra duplicated rows:

 delete from Employee a 

    where %%physloc%% > 

        (select min(%%physloc%%) from Employee b 

            where a.emp_name=b.emp_name and a.emp_address=b.emp_address and a.sex=b.sex); 
 

For all duplicated records, only the one with lowest physical location is kept. This method can be applied to remove all kinds of duplicated rows.

I am assuming that you use MS SQL Server. If you are using Oracle DB, then you can just replace '%%physloc%%' with 'rowid'

Enjoy the code!