SELECT column_name, COUNT(*)
FROM yourtable
name
GROUP BY column_name
HAVING COUNT(*) > 1;
Replace `columnname` with the name of the column that has the unique constraint and `yourtable_name` with the name of your table.
- If the duplicate data is incorrect, delete or modify it. For deletion, use:DELETE FROM your
table
name
WHERE yourcondition
to
identify
the
duplicate
row;
- If the duplicate data should be there but with modification to respect the unique constraint, use an UPDATE statement:UPDATE your
table
name
SET columnname = 'new
value'
WHERE yourcondition
to
identify
the
duplicate
row;
CREATE TABLE backup
table
name AS SELECT * FROM your
table
name;
Then, you can safely work on `yourtablename` knowing you have a backup.
Remember to replace `yourtablename`, `columnname`, `newvalue`, and `yourconditiontoidentifytheduplicaterow` with the actual table name, column name, the new value you wish to set, and the condition to find the duplicate row, respectively.
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)