Left join without duplicate rows from the left table
Avoiding duplicates in a LEFT JOIN is a breeze with this quick solution. We'll employ a subquery with the window function, ROW_NUMBER()
. By utilizing PARTITION BY
on the column causing duplicates and filtering via a WHERE
clause for the top-ranked row, we escape the realm of repetition.
duplicate_field
is our repeat offender column and preferred_order
is our arbitrator deciding which duplicate has the spotlight.
Utilizing OUTER APPLY
to prevent duplicates
SQL Server provides OUTER APPLY
, running a subquery for each row of the left table. Coupling it with TOP 1
ensures only one matching row is returned from the right table, enforcing the no clones zone.
The power of DISTINCT
When your query is straightforward, with a desire to eliminate the doppelgängers after a standard LEFT JOIN
, the DISTINCT
keyword comes to the rescue. Keep in mind, using DISTINCT
is like asking your SQL Server to find a needle in a haystack on larger data sets - it might take some time!
Fine-tuning with selective joining
In a multiverse of tables, the content-media relationship can get tangled. Select carefully which columns to join on and avoid bringing twin rows into being:
Handling the rogue NULLs and juggling order
A LEFT JOIN
comes with occasional unwanted NULLs and unknowing disorder. Maintain equilibrium using mindful ordering:
Ensuring completeness
We aim for a query retrieving all relevant rows from the left table without duplicates, even when the right table shows NULLs:
COALESCE
provides a safety net when there's a gaping hole in the right table - holding the integrity of the result set intact.
Was this article helpful?