Treatment of NULLs
One of the key benefits of using set operations over
alternative methods is that a set operation treats
NULLs as equal when comparing rows. Take the following
query as an example:
SELECT Country, Region, City FROM
dbo.Customers
INTERSECT
SELECT Country, Region, City FROM
dbo.Employees;
This query returns distinct locations where both
employees and customers exist. Web Table 1 shows the outputof the query. Notice that the location UK,
NULL, London appears in the output because both
customers and employees exist in this location. The set
operation considers the NULL region in the customer
location (UK, NULL, London) as being equal to the
NULL region in the employee location (UK, NULL,
London).
Other language elements such as ON and WHERE
filters have a different treatment when comparing two
NULLs. For example, an attempt to write a solution
that uses an INNER JOIN statement, as Web Listing 6 shows, would return the output shown in Web Table 2.
Notice that the location UK, NULL, London doesn’t
appear in the output even though it does appear in
both Customers and Employees. This location was
eliminated by the INNER JOIN statement. When
the JOIN predicate in the ON clause compared the
NULL region in both sides, the comparison yielded
UNKNOWN. An ON filter (as well as WHERE and
HAVING) eliminates rows for which the predicate
yields UNKNOWN. To get the exact logical equivalent
of the INTERSECT query, you’d need to explicitly
handle NULLs as in Web Listing 7. At this point, the
solution is so convoluted that you can really appreciate
the brevity and simplicity of the INTERSECT set
operation.
In a similar manner, the EXCEPT operation will
also treat two NULLs as equal. For example, the
following query returns the output that Web Table 3 shows, with the distinct locations where employees exist
but not customers:
SELECT Country, Region, City FROM
dbo.Employees
EXCEPT
SELECT Country, Region, City FROM
dbo.Customers;
Notice that the location UK, NULL, London doesn’t
appear in the output because it does appear in both
Employees and Customers. Now run the alternative solution
in Web Listing 8, using the NOT EXISTS predicate.
You’ll get the output that Web Table 4 shows.
This time the location UK, NULL, London was
returned even though it appears in both Employees
and Customers. When the inner query’s filter compared
the NULL region in the customer row and the NULL
region in the employee row, the predicate evaluated to
UNKNOWN, and the row was filtered out as if London,
NULL, UK doesn’t exist in the Customers table. Hence,
the location was returned from the Employees table. To
get the true logical equivalent of the EXCEPT query,
you’d need to handle NULLs explicitly, as in Web Listing
9. But again, this alternative solution is quite convoluted,
emphasizing the advantage of using the shorter, simpler,
and more elegant EXCEPT version.
End of Article
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