How to delete duplicate rows without unique identifier
Get rid of duplicates swiftly using a CTE (Common Table Expression) and ROW_NUMBER(). Here's the magic SQL spell:
In dup_cols
, specify the columns that identify duplicates and replace your_table
with your table's name. This code will reserve only one row for each set of duplicates by deleting rows with a row number above 1, which the CTE allots within groups of duplicates.
Different battle tactics against the Evil Duplicates
The secret weapon in PostgreSQL: ctid
In the PostgreSQL realm, there's a concealed column called ctid
that can act as a pseudo-unique identifier:
Can you imagine if every SQL table is a Hogwarts class? The ctid
would be the "chosen one".
Sneak peek at the enemy before the battle
To preview your duplicates before making them vanish, exchange DELETE
with SELECT
:
Just to make sure you're not about to vanish your favorite rows.
Dealing with the sneaky NULL values using COALESCE
When dealing with NULL
values in columns, don't forget to call upon COALESCE()
so that they are taken into account equivalently:
This way, NULL
values can't play hide and seek with us anymore.
Perform like a SQL superhero
For performance, when dealing with a small army of duplicates, using the ctid
or JOIN with USING is more efficient:
Sometimes, less is more, and using USING
over NOT IN (...)
subqueries proves it.
Pro tips: Avoid stepping on the rakes
The power of unique identifiers
For safeguarding your data integrity in the future, consider adding a unique, auto-incrementing id to tables lacking a natural unique identifier. This brings easy tracking and managing duplicates to another level.
Using CTEs: The good, the bad, and the risky
CTEs are marvellous for weeding out duplicates, but remember that DELETE
operations aren't allowed in the secret clubhouse of WITH
in all databases. A notable exception is: Netezza.
DELETE and WITH clause: Not a Love Story
In certain databases, like Netezza, you just can't use DELETE
immediately after a WITH
clause, though PostgreSQL is cool with it. Always check compatibility with your SQL database version.
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