Pour lister toutes les anomalies :
SELECT name, count(*) FROM TableA GROUP BY name HAVING count(*) > 1;
Il existe plusieurs façons de supprimer les doublons et votre chemin dépendra fortement du nombre de doublons que vous avez.
Voir ceci SO question pour savoir comment les supprimer de votre table.
Voici la solution que j'y ai fournie :
-- Setup for example
create table people (fname varchar(10), lname varchar(10));
insert into people values ('Bob', 'Newhart');
insert into people values ('Bob', 'Newhart');
insert into people values ('Bill', 'Cosby');
insert into people values ('Jim', 'Gaffigan');
insert into people values ('Jim', 'Gaffigan');
insert into people values ('Adam', 'Sandler');
-- Show table with duplicates
select * from people;
-- Create table with one version of each duplicate record
create table dups as
select distinct fname, lname, count(*)
from people group by fname, lname
having count(*) > 1;
-- Delete all matching duplicate records
delete people from people inner join dups
on people.fname = dups.fname AND
people.lname = dups.lname;
-- Insert single record of each dup back into table
insert into people select fname, lname from dups;
-- Show Fixed table
select * from people;