What are the pros and cons of using NULL values in SQL as opposed to default values?
As one responder already said, NULL is not a value.
Be very ware of anything proclaimed by anyone who speaks of "the NULL value" as if it were a value.
NULL is not equal to itself. x=y yields false if both x and y are NULL. x=y yields true if both x and y are the default value.
There are almost endless consequences to this seemingly very simple difference. And most of those consequences are booby traps that bite you real bad.
NULL values are meant to indicate that the attribute is either not applicable or unknown. There are religious wars fought over whether they're a good thing or a bad thing but I fall in the "good thing" camp.
They are often necessary to distinguish known values from unknown values in many situations and they make a sentinel value unnecessary for those attributes that don't have a suitable default value.
For example, whilst the default value for a bank balance may be zero, what is the default value for a mobile phone number. You may need to distinguish between "customer has no mobile phone" and "customer's mobile number is not (yet) known" in which case a blank column won't do (and having an extra column to decide whether that column is one or the other is not a good idea).
Default values are simply what the DBMS will put in a column if you don't explicitly specify it.
As with many things, there are good and bad points to each.
Good points about default values: they give you the ability to set a column to a known value if no other value is given. For example, when creating BOOLEAN columns I commonly give the column a default value (TRUE or FALSE, whatever is appropriate) and make the column NOT NULL. In this way I can be confident that the column will have a value, and it'll be set appropriate.
Bad points about default values: not everything has a default value.
Good things about NULLs: not everything has a known value at all times. For example, when creating a new row representing a person I may not have values for all the columns - let's say I know their name but not their birth date. It's not appropriate to put in a default value for the birth date - people don't like getting birthday cards on January 1st (if that's the default) if their birthday is actually July 22nd.
Bad things about NULLs: NULLs require careful handling. In most databases built on the relational model as commonly implemented NULLs are poison - the presence of a NULL in a calculation causes the result of the calculation to be NULL. NULLs used in comparisons can also cause unexpected results because any comparison with NULL returns UNKNOWN (which is neither TRUE nor FALSE). For example, consider the following PL/SQL script:
declare
nValue NUMBER;
begin
IF nValue > 0 THEN
dbms_output.put_line('nValue > 0');
ELSE
dbms_output.put_line('nValue <= 0');
END IF;
IF nValue <= 0 THEN
dbms_output.put_line('nValue <= 0');
ELSE
dbms_output.put_line('nValue > 0');
END IF;
end;
The output of the above is:
nValue <= 0
nValue > 0
This may be a little surprising. You have a NUMBER (nValue) which is both less than or equal to zero and greater than zero, at least according to this code. The reason this happens is that nValue is actually NULL, and all comparisons with NULL result in UNKNOWN instead of TRUE or FALSE. This can result in subtle bugs which are hard to figure out.
Share and enjoy.
I don't know why you're even trying to compare these to cases. null
means that some column is empty/has no value, while default value gives a column some value when we don't set it directly in query.
Maybe some example will be better explanation. Let's say we've member
table. Each member has an ID and username. Optional he might has an e-mail address (but he doesn't have to). Also each member has a postCount column (which is increased every time user write a post). So e-mail column can have a null
value (because e-mail is optional), while postCount column is NOT NULL
but has default value 0
(because when we create a new member he doesn't have any posts).
In a Data Warehouse, you would always want to have default values rather than NULLs.
Instead you would have value such as "unknown","not ready","missing"
This allows INNER JOINs to be performed efficiently on the Fact and Dimension tables as 'everything always has a value'
Null
s and default values are different things used for different purposes. If you are trying to avoid using null
s by giving everything a default value, that is a poor practice as I will explain.
Null
means we do not know what the value is or will be. For instance suppose you have an enddate
field. You don't know when the process being recorded will end, so null
is the only appropriate value; using a default value of some fake date way out in the future will cause as much trouble to program around as handling the null
s and is more likely in my experience to create a problem with incorrect results being returned.
Now there are times when we might know what the value should be if the person inserting the record does not. For instance, if you have a date inserted
field, it is appropriate to have a default value of the current date and not expect the user to fill this in. You are likely to actually have better information that way for this field.
Sometimes, it's a judgement call and depends on the business rules you have to apply. Suppose you have a speaker honoraria
field (Which is the amount a speaker would get paid). A default value of 0
could be dangerous as it it might mean that speakers are hired and we intend to pay them nothing. It is also possible that there may occasionally be speakers who are donating their time for a particular project (or who are employees of the company and thus not paid extra to speak) where zero is a correct value, so you can't use zero as the value to determine that you don't know how much this speaker is to be paid. In this case Null
is the only appropriate value and the code should trigger an issue if someone tries to add the speaker to a conference. In a different situation, you may know already that the minimum any speaker will be paid is 3000 and that only speakers who have negotiated a different rate will have data entered in the honoraria
field. In this case, it is appropriate to put in a default value of 3000
. In another cases, different clients may have different minimums, so the default should be handled differently (usually through a lookup table that automatically populates the minimum honoraria
value for that client on the data entry form.
So I feel the best rule is leave the value as null
if you truly cannot know at the time the data is entered what the value of the field should be. Use a default value only it is has meaning all the time for that particular situation and use some other technique to fill in the value if it could be different under different circumstances.