Reputation: 8152
I want to make sure I'm not inserting a duplicate row into my table (e.g. only primary key different). All my fields allow NULLS as I've decided null to mean "all values". Because of nulls, the following statement in my stored procedure can't work:
IF EXISTS(SELECT * FROM MY_TABLE WHERE
MY_FIELD1 = @IN_MY_FIELD1 AND
MY_FIELD2 = @IN_MY_FIELD2 AND
MY_FIELD3 = @IN_MY_FIELD3 AND
MY_FIELD4 = @IN_MY_FIELD4 AND
MY_FIELD5 = @IN_MY_FIELD5 AND
MY_FIELD6 = @IN_MY_FIELD6)
BEGIN
goto on_duplicate
END
since NULL = NULL is not true.
How can I check for the duplicates without having an IF IS NULL statement for every column?
Upvotes: 94
Views: 136457
Reputation: 3637
You will have to use IS NULL or ISNULL. There really isn't a way around it.
Upvotes: -1
Reputation: 452947
From SQL Server 2022 the "null safe" version of
WHERE
MY_FIELD1 = @IN_MY_FIELD1 AND
MY_FIELD2 = @IN_MY_FIELD2 AND
MY_FIELD3 = @IN_MY_FIELD3 AND
MY_FIELD4 = @IN_MY_FIELD4 AND
MY_FIELD5 = @IN_MY_FIELD5 AND
MY_FIELD6 = @IN_MY_FIELD6
would be
WHERE
MY_FIELD1 IS NOT DISTINCT FROM @IN_MY_FIELD1 AND
MY_FIELD2 IS NOT DISTINCT FROM @IN_MY_FIELD2 AND
MY_FIELD3 IS NOT DISTINCT FROM @IN_MY_FIELD3 AND
MY_FIELD4 IS NOT DISTINCT FROM @IN_MY_FIELD4 AND
MY_FIELD5 IS NOT DISTINCT FROM @IN_MY_FIELD5 AND
MY_FIELD6 IS NOT DISTINCT FROM @IN_MY_FIELD6
IS [NOT] DISTINCT FROM
(Transact-SQL)
Upvotes: 4
Reputation: 325
NULLIF(TARGET.relation_id, SOURCE.app_relation_id) IS NULL Simple solution
Upvotes: -1
Reputation: 955
Above, @drowa shows a verbose approach that I agree with. It's good because it avoids the 3-value logic problem. Many of the other approaches provided here will fail in subtle and unexpected ways when negated because they're treating null
as equivalent to false
which it is not.
However, I have a workflow that I find makes it convenient-ish, here's a regex. Given code of the form
(leftSide <=> rightSide)
regex find this:
\(([a-zA-Z0-9_.@]+)\s*<=>\s*([a-zA-Z0-9_.@]+)\)
and replace with this:
(/*$1 <=> $2*/ ($1 IS NULL AND $2 IS NULL) OR ($1 IS NOT NULL AND $2 IS NOT NULL AND $1 = $2))
So I write the (leftSide <=> rightSide)
code and apply the above regex transformation to get the expanded form. It'd be nicer if MSSQL offered some kind of macro expansion so I wouldn't have to do it manually, but it doesn't.
@Drowa's answer quoted for reference:
Equals comparison:
((f1 IS NULL AND f2 IS NULL) OR (f1 IS NOT NULL AND f2 IS NOT NULL AND f1 = f2))
Not Equal To comparison: Just negate the Equals comparison above.
NOT ((f1 IS NULL AND f2 IS NULL) OR (f1 IS NOT NULL AND f2 IS NOT NULL AND f1 = f2))
Is it verbose? Yes, it is. However it's efficient since it doesn't call any function. The idea is to use short circuit in predicates to make sure the equal operator (=) is used only with non-null values, otherwise null would propagate up in the expression tree.
Upvotes: 1
Reputation: 732
Equals comparison:
((f1 IS NULL AND f2 IS NULL) OR (f1 IS NOT NULL AND f2 IS NOT NULL AND f1 = f2))
Not Equal To comparison: Just negate the Equals comparison above.
NOT ((f1 IS NULL AND f2 IS NULL) OR (f1 IS NOT NULL AND f2 IS NOT NULL AND f1 = f2))
Is it verbose? Yes, it is. However it's efficient since it doesn't call any function. The idea is to use short circuit in predicates to make sure the equal operator (=) is used only with non-null values, otherwise null would propagate up in the expression tree.
Upvotes: 12
Reputation: 732
You could use SET ANSI_NULLS
in order to specify the behavior of the Equals (=) and Not Equal To (<>) comparison operators when they are used with null values.
Upvotes: 2
Reputation: 2187
I needed a similar comparison when doing a MERGE:
WHEN MATCHED AND (Target.Field1 <> Source.Field1 OR ...)
The additional checks are to avoid updating rows where all the columns are already the same. For my purposes I wanted NULL <> anyValue
to be True, and NULL <> NULL
to be False.
The solution evolved as follows:
First attempt:
WHEN MATCHED AND
(
(
-- Neither is null, values are not equal
Target.Field1 IS NOT NULL
AND Source.Field1 IS NOT NULL
AND Target.Field1 <> Source.Field1
)
OR
(
-- Target is null but source is not
Target.Field1 IS NULL
AND Source.Field1 IS NOT NULL
)
OR
(
-- Source is null but target is not
Target.Field1 IS NOT NULL
AND Source.Field1 IS NULL
)
-- OR ... Repeat for other columns
)
Second attempt:
WHEN MATCHED AND
(
-- Neither is null, values are not equal
NOT (Target.Field1 IS NULL OR Source.Field1 IS NULL)
AND Target.Field1 <> Source.Field1
-- Source xor target is null
OR (Target.Field1 IS NULL OR Source.Field1 IS NULL)
AND NOT (Target.Field1 IS NULL AND Source.Field1 IS NULL)
-- OR ... Repeat for other columns
)
Third attempt (inspired by @THEn's answer):
WHEN MATCHED AND
(
ISNULL(
NULLIF(Target.Field1, Source.Field1),
NULLIF(Source.Field1, Target.Field1)
) IS NOT NULL
-- OR ... Repeat for other columns
)
The same ISNULL/NULLIF logic can be used to test equality and inequality:
ISNULL(NULLIF(A, B), NULLIF(B, A)) IS NULL
ISNULL(NULLIF(A, B), NULLIF(B, A)) IS NOT NULL
Here is an SQL-Fiddle demonstrating how it works http://sqlfiddle.com/#!3/471d60/1
Upvotes: 50
Reputation: 81
What if you want to do a comparison for values that ARE NOT equal? Just using a "NOT" in front of the previously mentioned comparisons does not work. The best I could come up with is:
(Field1 <> Field2) OR (NULLIF(Field1, Field2) IS NOT NULL) OR (NULLIF(Field2, Field1) IS NOT NULL)
Upvotes: 7
Reputation: 1149
Along the same lines as @Eric's answer, but without using a 'NULL'
symbol.
(Field1 = Field2) OR (ISNULL(Field1, Field2) IS NULL)
This will be true only if both values are non-NULL
, and equal each other, or both values are NULL
Upvotes: 108
Reputation: 1938
Did you check NULLIF? http://msdn.microsoft.com/en-us/library/ms177562.aspx
Upvotes: -3
Reputation: 18410
IF EXISTS(SELECT * FROM MY_TABLE WHERE
(MY_FIELD1 = @IN_MY_FIELD1
or (MY_FIELD1 IS NULL and @IN_MY_FIELD1 is NULL)) AND
(MY_FIELD2 = @IN_MY_FIELD2
or (MY_FIELD2 IS NULL and @IN_MY_FIELD2 is NULL)) AND
(MY_FIELD3 = @IN_MY_FIELD3
or (MY_FIELD3 IS NULL and @IN_MY_FIELD3 is NULL)) AND
(MY_FIELD4 = @IN_MY_FIELD4
or (MY_FIELD4 IS NULL and @IN_MY_FIELD4 is NULL)) AND
(MY_FIELD5 = @IN_MY_FIELD5
or (MY_FIELD5 IS NULL and @IN_MY_FIELD5 is NULL)) AND
(MY_FIELD6 = @IN_MY_FIELD6
or (MY_FIELD6 IS NULL and @IN_MY_FIELD6 is NULL)))
BEGIN
goto on_duplicate
END
Wordy As compared to the IFNULL/COALESCE solution. But will work without having to think about what value will not appear in the data that can be used as the stand in for NULL.
Upvotes: 21
Reputation: 425251
Use INTERSECT
operator.
It's NULL
-sensitive and efficient if you have a composite index on all your fields:
IF EXISTS
(
SELECT MY_FIELD1, MY_FIELD2, MY_FIELD3, MY_FIELD4, MY_FIELD5, MY_FIELD6
FROM MY_TABLE
INTERSECT
SELECT @IN_MY_FIELD1, @IN_MY_FIELD2, @IN_MY_FIELD3, @IN_MY_FIELD4, @IN_MY_FIELD5, @IN_MY_FIELD6
)
BEGIN
goto on_duplicate
END
Note that if you create a UNIQUE
index on your fields, your life will be much simpler.
Upvotes: 59
Reputation: 95093
Use ISNULL
:
ISNULL(MY_FIELD1, 'NULL') = ISNULL(@IN_MY_FIELD1, 'NULL')
You can change 'NULL'
to something like 'All Values'
if it makes more sense to do so.
It should be noted that with two arguments, ISNULL
works the same as COALESCE
, which you could use if you have a few values to test (i.e.-COALESCE(@IN_MY_FIELD1, @OtherVal, 'NULL')
). COALESCE
also returns after the first non-null, which means it's (marginally) faster if you expect MY_FIELD1 to be blank. However, I find ISNULL
much more readable, so that's why I used it, here.
Upvotes: 35
Reputation: 13883
You could coalesce each value, but it's a bit wince-inducing:
IF EXISTS(SELECT * FROM MY_TABLE WHERE
coalesce(MY_FIELD1,'MF1') = coalesce(@IN_MY_FIELD1,'MF1') AND
...
BEGIN
goto on_duplicate
END
You'd also need to ensure that the coalesced
value is not an otherwise valid value on the column in question. For example, if it was possible that the value of MY_FIELD1 could be 'MF1' then this would cause a lot of spurious hits.
Upvotes: 11
Reputation: 294177
You create a primary key on your fields and let the engine enforce the uniqueness. Doing IF EXISTS logic is incorrect anyway as is flawed with race conditions.
Upvotes: 6