In Haskell, afaik, there are no statements, just expressions. That is, unlike in an imperative language like Javascript, you cannot simply execute code line after line, i.e.
let a = 1
let b = 2
let c = a + b
print(c)
Instead, everything is an expression and nothing can simply modify state and return nothing (i.e. a statement). On top of that, everything would be wrapped in a function such that, in order to mimic such an action as above, you'd use the monadic do syntax and thereby hide the underlying nested functions.
Is this the same in OCAML/F# or can you just have imperative statements?
This is a bit of a complicated topic. Technically, in ML-style languages, everything is an expression. However, there is some syntactic sugar to make it read more like statements. For example, the sample you gave in F# would be:
let a = 1
let b = 2
let c = a + b
printfn "%d" c
However, the compiler silently turns those "statements" into the following expression for you:
let a = 1 in
let b = 2 in
let c = a + b in
printfn "%d" c
Now, the last line here is going to do IO, and unlike in Haskell, it won't change the type of the expression to IO. The type of the expression here is unit. unit is the F# way of expressing "this function doesn't really have result" in the type system. Of course, if the function doesn't have a result, in a purely functional language it would be pointless to call it. The only reason to call it would be for some side-effect, and since Haskell doesn't allow side-effects, they use the IO monad to encode the fact the function has an IO producing side-effect into the type system.
F# and other ML-based languages do allow side-effects like IO, so they have the unit type to represent functions that only do side-effects, like printing. When designing your application, you will generally want to avoid having unit-returning functions except for things like logging or printing. If you feel so inclined, you can even use F#'s moand-ish feature, Computation Expressions, to encapsulate your side-effects for you.
Not to be picky, but there's no language OCaml/F# :-)
To answer for OCaml: OCaml is not a pure functional language. It supports side effects directly through mutability, I/O, and exceptions. In many cases it treats such constructs as expressions with the value (), the single value of type unit.
Expressions of type unit can appear in a sequence separated by ;:
let s = ref 0 in
while !s < 10 do
Printf.printf "%d\n" !s; (* This has type unit *)
incr s (* This has type unit *)
done (* The while as a whole has type unit *)
Update
More specifically, ; ignores the value of the first expression and returns the value of the second expression. The first expression should have type unit but this isn't absolutely required.
# print_endline "hello"; 44 ;;
hello
- : int = 44
# 43 ; 44 ;;
Warning 10: this expression should have type unit.
- : int = 44
The ; operator is right associative, so you can write a ;-separated sequence of expressions without extra parentheses. It has the value of the last (rightmost) expression.
To answer the question we need to define what is an expression and what is a statement.
Distinction between expressions and statements
In layman terms, an expression is something that evaluates (reduces) to a value. It is basically something, that may occur on the right-hand side of the assignment operator. Contrary, a statement is some directive that doesn't produce directly a value.
For example, in Python, the ternary operator builds expressions, e.g.,
'odd' if x % 2 else 'even'
is an expression, so you can assign it to a variable, print, etc
While the following is a statement:
if x % 2:
'odd'
else:
'even'
It is not reduced to a value by Python, it couldn't be printed, assigned to a value, etc.
So far we were focusing more on the semantical differences between expressions and statements. But for a casual user, they are more noticeable on the syntactic level. I.e., there are places where a statement is expected and places where expressions are expected. For example, you can put a statement to the right of the assignment operator.
OCaml/Reason/Haskell/F# story
In OCaml, Reason, and F# such constructs as if, while, print etc are expressions. They all evaluate to values and can occur on the right-hand side of the assignment operator. So it looks like that there is no distinction between statements and expressions. Indeed, there are no statements in OCaml grammar at all. I believe, that F# and Reason are also not using word statement to exclude confusion. However, there are syntactic forms that are not expressions, for example:
open Core_kernel
it is not an expression, definitely, and
type students = student list
is not an expression.
So what is that? In the OCaml parlance, they are called definitions, and they are syntactic constructs that can appear in the module on the, so called, top-level. For example, in OCaml, there are value definitions, that look like this
let harry = student "Harry"
let larry = student "Larry"
let group = [harry; larry]
Every line above is a definition. And every line contains an expression on the right-hand side of the = symbol. In OCaml there is also a let expression, that has form let <v> = <exp> in <exp> that should not be confused with the top-level let definition.
Roughly the same is true for F# and Reason. It is also true for Haskell, that has a distinction between expressions and declarations. It actually should be true to probably every real-world language (i.e., excluding brainfuck and other toy languages).
Summary
So, all these languages have syntactic forms that are not expressions. They are not called statements per se, but we can treat them as statements. So there is a distinction between statements and expressions. The main difference from common imperative languages is that some well-known statements (e.g., if, while, for) are expressions in OCaml/F#/Reason/Haskell, and this is why people commonly say that there is no distinction between expressions and statements.
I am new to haskel.What would be a good way of doing something like this in haskell?
var1 = //can be true or false
if(var1==true)
{
//return someething
}
else
{
//
}
Haskell is a functional and declarative language. That means that usually that there is not much "do something". There is more calculate something and return it.
That may look like nitpicking, but for instance in Haskell one cannot set a variable twice: once you assign it an expression (not per se a value)
, you cannot set it to a different value.
If you want to return something, you usually work with pattern matching. For instance:
f :: Bool -> String
f True = "Yes"
f False = "No"
This would be somewhat equivalent in Java/C#/... to:
public String f (boolean var1) {
if(var1) {
return "Yes";
} else {
return "No";
}
}
Note that Haskell works lazy as well: if you return a function call or anything, you do not immediately evaluate that function call: a call is only evaluated if that is necessary.
A problem might arise how to do I/O. For that, there is the concept of an I/O monad. A monad is a functional programming technique that enforces a certain order of evaluation.
But functional programming thus requires a different "mindset" than imperative programming: you do not think of a program in terms of commands that are done one after another, but more in terms of composing functions together to generate output for a given input. Like usually a mathematician or physicist does. You compose for instance a function that, given the mass and the velocity of something, calculates the kinetic energy of that object.
Haskell has if-then-else conditionals.
The closest code to yours I can write is something like this:
let var = length "hello" == 5
in if var then "ok" else "no"
Note that such conditional is more similar to C or Java's var ? "ok" : "no" expression than an if()... statement, but this is to be expected since Haskell is functional, so it has no "statements", only expressions.
Any Haskell tutorial should cover this. I'd recommend you read one, if you want to learn Haskell. Trying to convert idioms from other languages is a poor strategy.
I don't know if this is possible, but are there any languages where you can use a dot operator on a function per se. I'll give an example.
function blah returns type2
type 2 looks like this
{
data
number
}
when I call blah are there any languages that support blah.number, so that when it makes the function call and gets the type2, it then grabs number and returns that. I'm sorry if this is an obvious answer, but I couldn't even think of a good way to word it to google it.
I just ran into a situation that would be convienient to have that, rather then make an intermediate variable you just make sure you return the type.
I know that I could add a "get" function that would get the specific number variable from that type, but that's an additional function someone would have to add so I am excluding that as a option (as I can just return the type and access using a variable there isn't really a dire need for a new function).
EDIT: I feel like an idiot.....
EDIT # 2: For some reason I had it in my head that you couldn't do dot operations on functions, (I don't care about the parentheses I was just trying to give an example)
Edit # 3: Is there a name for this or is it still just a dot operation?
Well this works in C if the function returns a struct like this:
struct retval {
char * data;
int number;
};
retval foo() {
// do something and then return an instance of retval
}
// call
int a = foo().number;
I would like to know if there is any language that does not support something like this.
About Edit #3
The name would generally be member access, since all you do is to access a member of the return value. This could differ across languages though.
In most languages you can do Blah().Member ... the typing of a pair of parentheses won't kill you, will it? These languages include C, C++, Java, C# etc.
Yep, to the best of my knowledge, most modern languages (if not most languages in general) support this.
Maybe I misunderstand you, but in most languages, you can already do that.
in java for example, if you have a function get_foo() returning an object of type foo, and foo is defined as
Class Foo{
public int bar;
public double baz;
}
you can do get_foo().bar returning bar
Any language that allows a function to return an object/struct will support that... And languages like Ruby (where the () are optional) will make it exactly like you tiped (blah.number instead of blah().number).
Another way of avoiding the parentheses is using a property or an equivalent idiom... So C#, VB.NET and Python would also allow that.
If you want to make a new function out of an existing one, it's possible with lambda expressions. In C#, for example, it'd be var fooblah = (x => foo(x).blah); Obviously, if there's an overloading available in the language, you can't do it without giving a list of arguments.
Er...you mean, like a returning a class or a struct?
In C#
private class Blah
{
public string Data {get; set;}
public int Number {get; set;}
}
public Blah DoSomething()
{
return new Blah{Data="Data",Number=1};
}
Every so often when programmers are complaining about null errors/exceptions someone asks what we do without null.
I have some basic idea of the coolness of option types, but I don't have the knowledge or languages skill to best express it. What is a great explanation of the following written in a way approachable to the average programmer that we could point that person towards?
The undesirability of having references/pointers be nullable by default
How option types work including strategies to ease checking null cases such as
pattern matching and
monadic comprehensions
Alternative solution such as message eating nil
(other aspects I missed)
I think the succinct summary of why null is undesirable is that meaningless states should not be representable.
Suppose I'm modeling a door. It can be in one of three states: open, shut but unlocked, and shut and locked. Now I could model it along the lines of
class Door
private bool isShut
private bool isLocked
and it is clear how to map my three states into these two boolean variables. But this leaves a fourth, undesired state available: isShut==false && isLocked==true. Because the types I have selected as my representation admit this state, I must expend mental effort to ensure that the class never gets into this state (perhaps by explicitly coding an invariant). In contrast, if I were using a language with algebraic data types or checked enumerations that lets me define
type DoorState =
| Open | ShutAndUnlocked | ShutAndLocked
then I could define
class Door
private DoorState state
and there are no more worries. The type system will ensure that there are only three possible states for an instance of class Door to be in. This is what type systems are good at - explicitly ruling out a whole class of errors at compile-time.
The problem with null is that every reference type gets this extra state in its space that is typically undesired. A string variable could be any sequence of characters, or it could be this crazy extra null value that doesn't map into my problem domain. A Triangle object has three Points, which themselves have X and Y values, but unfortunately the Points or the Triangle itself might be this crazy null value that is meaningless to the graphing domain I'm working in. Etc.
When you do intend to model a possibly-non-existent value, then you should opt into it explicitly. If the way I intend to model people is that every Person has a FirstName and a LastName, but only some people have MiddleNames, then I would like to say something like
class Person
private string FirstName
private Option<string> MiddleName
private string LastName
where string here is assumed to be a non-nullable type. Then there are no tricky invariants to establish and no unexpected NullReferenceExceptions when trying to compute the length of someone's name. The type system ensures that any code dealing with the MiddleName accounts for the possibility of it being None, whereas any code dealing with the FirstName can safely assume there is a value there.
So for example, using the type above, we could author this silly function:
let TotalNumCharsInPersonsName(p:Person) =
let middleLen = match p.MiddleName with
| None -> 0
| Some(s) -> s.Length
p.FirstName.Length + middleLen + p.LastName.Length
with no worries. In contrast, in a language with nullable references for types like string, then assuming
class Person
private string FirstName
private string MiddleName
private string LastName
you end up authoring stuff like
let TotalNumCharsInPersonsName(p:Person) =
p.FirstName.Length + p.MiddleName.Length + p.LastName.Length
which blows up if the incoming Person object does not have the invariant of everything being non-null, or
let TotalNumCharsInPersonsName(p:Person) =
(if p.FirstName=null then 0 else p.FirstName.Length)
+ (if p.MiddleName=null then 0 else p.MiddleName.Length)
+ (if p.LastName=null then 0 else p.LastName.Length)
or maybe
let TotalNumCharsInPersonsName(p:Person) =
p.FirstName.Length
+ (if p.MiddleName=null then 0 else p.MiddleName.Length)
+ p.LastName.Length
assuming that p ensures first/last are there but middle can be null, or maybe you do checks that throw different types of exceptions, or who knows what. All these crazy implementation choices and things to think about crop up because there's this stupid representable-value that you don't want or need.
Null typically adds needless complexity. Complexity is the enemy of all software, and you should strive to reduce complexity whenever reasonable.
(Note well that there is more complexity to even these simple examples. Even if a FirstName cannot be null, a string can represent "" (the empty string), which is probably also not a person name that we intend to model. As such, even with non-nullable strings, it still might be the case that we are "representing meaningless values". Again, you could choose to battle this either via invariants and conditional code at runtime, or by using the type system (e.g. to have a NonEmptyString type). The latter is perhaps ill-advised ("good" types are often "closed" over a set of common operations, and e.g. NonEmptyString is not closed over .SubString(0,0)), but it demonstrates more points in the design space. At the end of the day, in any given type system, there is some complexity it will be very good at getting rid of, and other complexity that is just intrinsically harder to get rid of. The key for this topic is that in nearly every type system, the change from "nullable references by default" to "non-nullable references by default" is nearly always a simple change that makes the type system a great deal better at battling complexity and ruling out certain types of errors and meaningless states. So it is pretty crazy that so many languages keep repeating this error again and again.)
The nice thing about option types isn't that they're optional. It is that all other types aren't.
Sometimes, we need to be able to represent a kind of "null" state. Sometimes we have to represent a "no value" option as well as the other possible values a variable may take. So a language that flat out disallows this is going to be a bit crippled.
But often, we don't need it, and allowing such a "null" state only leads to ambiguity and confusion: every time I access a reference type variable in .NET, I have to consider that it might be null.
Often, it will never actually be null, because the programmer structures the code so that it can never happen. But the compiler can't verify that, and every single time you see it, you have to ask yourself "can this be null? Do I need to check for null here?"
Ideally, in the many cases where null doesn't make sense, it shouldn't be allowed.
That's tricky to achieve in .NET, where nearly everything can be null. You have to rely on the author of the code you're calling to be 100% disciplined and consistent and have clearly documented what can and cannot be null, or you have to be paranoid and check everything.
However, if types aren't nullable by default, then you don't need to check whether or not they're null. You know they can never be null, because the compiler/type checker enforces that for you.
And then we just need a back door for the rare cases where we do need to handle a null state. Then an "option" type can be used. Then we allow null in the cases where we've made a conscious decision that we need to be able to represent the "no value" case, and in every other case, we know that the value will never be null.
As others have mentioned, in C# or Java for example, null can mean one of two things:
the variable is uninitialized. This should, ideally, never happen. A variable shouldn't exist unless it is initialized.
the variable contains some "optional" data: it needs to be able to represent the case where there is no data. This is sometimes necessary. Perhaps you're trying to find an object in a list, and you don't know in advance whether or not it's there. Then we need to be able to represent that "no object was found".
The second meaning has to be preserved, but the first one should be eliminated entirely. And even the second meaning should not be the default. It's something we can opt in to if and when we need it. But when we don't need something to be optional, we want the type checker to guarantee that it will never be null.
All of the answers so far focus on why null is a bad thing, and how it's kinda handy if a language can guarantee that certain values will never be null.
They then go on to suggest that it would be a pretty neat idea if you enforce non-nullability for all values, which can be done if you add a concept like Option or Maybe to represent types that may not always have a defined value. This is the approach taken by Haskell.
It's all good stuff! But it doesn't preclude the use of explicitly nullable / non-null types to achieve the same effect. Why, then, is Option still a good thing? After all, Scala supports nullable values (is has to, so it can work with Java libraries) but supports Options as well.
Q. So what are the benefits beyond being able to remove nulls from a language entirely?
A. Composition
If you make a naive translation from null-aware code
def fullNameLength(p:Person) = {
val middleLen =
if (null == p.middleName)
p.middleName.length
else
0
p.firstName.length + middleLen + p.lastName.length
}
to option-aware code
def fullNameLength(p:Person) = {
val middleLen = p.middleName match {
case Some(x) => x.length
case _ => 0
}
p.firstName.length + middleLen + p.lastName.length
}
there's not much difference! But it's also a terrible way to use Options... This approach is much cleaner:
def fullNameLength(p:Person) = {
val middleLen = p.middleName map {_.length} getOrElse 0
p.firstName.length + middleLen + p.lastName.length
}
Or even:
def fullNameLength(p:Person) =
p.firstName.length +
p.middleName.map{length}.getOrElse(0) +
p.lastName.length
When you start dealing with List of Options, it gets even better. Imagine that the List people is itself optional:
people flatMap(_ find (_.firstName == "joe")) map (fullNameLength)
How does this work?
//convert an Option[List[Person]] to an Option[S]
//where the function f takes a List[Person] and returns an S
people map f
//find a person named "Joe" in a List[Person].
//returns Some[Person], or None if "Joe" isn't in the list
validPeopleList find (_.firstName == "joe")
//returns None if people is None
//Some(None) if people is valid but doesn't contain Joe
//Some[Some[Person]] if Joe is found
people map (_ find (_.firstName == "joe"))
//flatten it to return None if people is None or Joe isn't found
//Some[Person] if Joe is found
people flatMap (_ find (_.firstName == "joe"))
//return Some(length) if the list isn't None and Joe is found
//otherwise return None
people flatMap (_ find (_.firstName == "joe")) map (fullNameLength)
The corresponding code with null checks (or even elvis ?: operators) would be painfully long. The real trick here is the flatMap operation, which allows for the nested comprehension of Options and collections in a way that nullable values can never achieve.
Since people seem to be missing it: null is ambiguous.
Alice's date-of-birth is null. What does it mean?
Bob's date-of-death is null. What does that mean?
A "reasonable" interpretation might be that Alice's date-of-birth exists but is unknown, whereas Bob's date-of-death does not exist (Bob is still alive). But why did we get to different answers?
Another problem: null is an edge case.
Is null = null?
Is nan = nan?
Is inf = inf?
Is +0 = -0?
Is +0/0 = -0/0?
The answers are usually "yes", "no", "yes", "yes", "no", "yes" respectively. Crazy "mathematicians" call NaN "nullity" and say it compares equal to itself. SQL treats nulls as not equal to anything (so they behave like NaNs). One wonders what happens when you try to store ±∞, ±0, and NaNs into the same database column (there are 253 NaNs, half of which are "negative").
To make matters worse, databases differ in how they treat NULL, and most of them aren't consistent (see NULL Handling in SQLite for an overview). It's pretty horrible.
And now for the obligatory story:
I recently designed a (sqlite3) database table with five columns a NOT NULL, b, id_a, id_b NOT NULL, timestamp. Because it's a generic schema designed to solve a generic problem for fairly arbitrary apps, there are two uniqueness constraints:
UNIQUE(a, b, id_a)
UNIQUE(a, b, id_b)
id_a only exists for compatibility with an existing app design (partly because I haven't come up with a better solution), and is not used in the new app. Because of the way NULL works in SQL, I can insert (1, 2, NULL, 3, t) and (1, 2, NULL, 4, t) and not violate the first uniqueness constraint (because (1, 2, NULL) != (1, 2, NULL)).
This works specifically because of how NULL works in a uniqueness constraint on most databases (presumably so it's easier to model "real-world" situations, e.g. no two people can have the same Social Security Number, but not all people have one).
FWIW, without first invoking undefined behaviour, C++ references cannot "point to" null, and it's not possible to construct a class with uninitialized reference member variables (if an exception is thrown, construction fails).
Sidenote: Occasionally you might want mutually-exclusive pointers (i.e. only one of them can be non-NULL), e.g. in a hypothetical iOS type DialogState = NotShown | ShowingActionSheet UIActionSheet | ShowingAlertView UIAlertView | Dismissed. Instead, I'm forced to do stuff like assert((bool)actionSheet + (bool)alertView == 1).
The undesirability of having having references/pointers be nullable by default.
I don't think this is the main issue with nulls, the main issue with nulls is that they can mean two things:
The reference/pointer is uninitialized: the problem here is the same as mutability in general. For one, it makes it more difficult to analyze your code.
The variable being null actually means something: this is the case which Option types actually formalize.
Languages which support Option types typically also forbid or discourage the use of uninitialized variables as well.
How option types work including strategies to ease checking null cases such as pattern matching.
In order to be effective, Option types need to be supported directly in the language. Otherwise it takes a lot of boiler-plate code to simulate them. Pattern-matching and type-inference are two keys language features making Option types easy to work with. For example:
In F#:
//first we create the option list, and then filter out all None Option types and
//map all Some Option types to their values. See how type-inference shines.
let optionList = [Some(1); Some(2); None; Some(3); None]
optionList |> List.choose id //evaluates to [1;2;3]
//here is a simple pattern-matching example
//which prints "1;2;None;3;None;".
//notice how value is extracted from op during the match
optionList
|> List.iter (function Some(value) -> printf "%i;" value | None -> printf "None;")
However, in a language like Java without direct support for Option types, we'd have something like:
//here we perform the same filter/map operation as in the F# example.
List<Option<Integer>> optionList = Arrays.asList(new Some<Integer>(1),new Some<Integer>(2),new None<Integer>(),new Some<Integer>(3),new None<Integer>());
List<Integer> filteredList = new ArrayList<Integer>();
for(Option<Integer> op : list)
if(op instanceof Some)
filteredList.add(((Some<Integer>)op).getValue());
Alternative solution such as message eating nil
Objective-C's "message eating nil" is not so much a solution as an attempt to lighten the head-ache of null checking. Basically, instead of throwing a runtime exception when trying to invoke a method on a null object, the expression instead evaluates to null itself. Suspending disbelief, it's as if each instance method begins with if (this == null) return null;. But then there is information loss: you don't know whether the method returned null because it is valid return value, or because the object is actually null. It's a lot like exception swallowing, and doesn't make any progress addressing the issues with null outlined before.
Assembly brought us addresses also known as untyped pointers. C mapped them directly as typed pointers but introduced Algol's null as a unique pointer value, compatible with all typed pointers. The big issue with null in C is that since every pointer can be null, one never can use a pointer safely without a manual check.
In higher-level languages, having null is awkward since it really conveys two distinct notions:
Telling that something is undefined.
Telling that something is optional.
Having undefined variables is pretty much useless, and yields to undefined behavior whenever they occur. I suppose everybody will agree that having things undefined should be avoided at all costs.
The second case is optionality and is best provided explicitly, for instance with an option type.
Let's say we're in a transport company and we need to create an application to help create a schedule for our drivers. For each driver, we store a few informations such as: the driving licences they have and the phone number to call in case of emergency.
In C we could have:
struct PhoneNumber { ... };
struct MotorbikeLicence { ... };
struct CarLicence { ... };
struct TruckLicence { ... };
struct Driver {
char name[32]; /* Null terminated */
struct PhoneNumber * emergency_phone_number;
struct MotorbikeLicence * motorbike_licence;
struct CarLicence * car_licence;
struct TruckLicence * truck_licence;
};
As you observe, in any processing over our list of drivers we'll have to check for null pointers. The compiler won't help you, the safety of the program relies on your shoulders.
In OCaml, the same code would look like this:
type phone_number = { ... }
type motorbike_licence = { ... }
type car_licence = { ... }
type truck_licence = { ... }
type driver = {
name: string;
emergency_phone_number: phone_number option;
motorbike_licence: motorbike_licence option;
car_licence: car_licence option;
truck_licence: truck_licence option;
}
Let's now say that we want to print the names of all the drivers along with their truck licence numbers.
In C:
#include <stdio.h>
void print_driver_with_truck_licence_number(struct Driver * driver) {
/* Check may be redundant but better be safe than sorry */
if (driver != NULL) {
printf("driver %s has ", driver->name);
if (driver->truck_licence != NULL) {
printf("truck licence %04d-%04d-%08d\n",
driver->truck_licence->area_code
driver->truck_licence->year
driver->truck_licence->num_in_year);
} else {
printf("no truck licence\n");
}
}
}
void print_drivers_with_truck_licence_numbers(struct Driver ** drivers, int nb) {
if (drivers != NULL && nb >= 0) {
int i;
for (i = 0; i < nb; ++i) {
struct Driver * driver = drivers[i];
if (driver) {
print_driver_with_truck_licence_number(driver);
} else {
/* Huh ? We got a null inside the array, meaning it probably got
corrupt somehow, what do we do ? Ignore ? Assert ? */
}
}
} else {
/* Caller provided us with erroneous input, what do we do ?
Ignore ? Assert ? */
}
}
In OCaml that would be:
open Printf
(* Here we are guaranteed to have a driver instance *)
let print_driver_with_truck_licence_number driver =
printf "driver %s has " driver.name;
match driver.truck_licence with
| None ->
printf "no truck licence\n"
| Some licence ->
(* Here we are guaranteed to have a licence *)
printf "truck licence %04d-%04d-%08d\n"
licence.area_code
licence.year
licence.num_in_year
(* Here we are guaranteed to have a valid list of drivers *)
let print_drivers_with_truck_licence_numbers drivers =
List.iter print_driver_with_truck_licence_number drivers
As you can see in this trivial example, there is nothing complicated in the safe version:
It's terser.
You get much better guarantees and no null check is required at all.
The compiler ensured that you correctly dealt with the option
Whereas in C, you could just have forgotten a null check and boom...
Note : these code samples where not compiled, but I hope you got the ideas.
Microsoft Research has a intersting project called
Spec#
It is a C# extension with not-null type and some mechanism to check your objects against not being null, although, IMHO, applying the design by contract principle may be more appropriate and more helpful for many troublesome situations caused by null references.
Robert Nystrom offers a nice article here:
http://journal.stuffwithstuff.com/2010/08/23/void-null-maybe-and-nothing/
describing his thought process when adding support for absence and failure to his Magpie programming language.
Coming from .NET background, I always thought null had a point, its useful. Until I came to know of structs and how easy it was working with them avoiding a lot of boilerplate code. Tony Hoare speaking at QCon London in 2009, apologized for inventing the null reference. To quote him:
I call it my billion-dollar mistake. It was the invention of the null
reference in 1965. At that time, I was designing the first
comprehensive type system for references in an object oriented
language (ALGOL W). My goal was to ensure that all use of references
should be absolutely safe, with checking performed automatically by
the compiler. But I couldn't resist the temptation to put in a null
reference, simply because it was so easy to implement. This has led to
innumerable errors, vulnerabilities, and system crashes, which have
probably caused a billion dollars of pain and damage in the last forty
years. In recent years, a number of program analysers like PREfix and
PREfast in Microsoft have been used to check references, and give
warnings if there is a risk they may be non-null. More recent
programming languages like Spec# have introduced declarations for
non-null references. This is the solution, which I rejected in 1965.
See this question too at programmers
I've always looked at Null (or nil) as being the absence of a value.
Sometimes you want this, sometimes you don't. It depends on the domain you are working with. If the absence is meaningful: no middle name, then your application can act accordingly. On the other hand if the null value should not be there: The first name is null, then the developer gets the proverbial 2 a.m. phone call.
I've also seen code overloaded and over-complicated with checks for null. To me this means one of two things:
a) a bug higher up in the application tree
b) bad/incomplete design
On the positive side - Null is probably one of the more useful notions for checking if something is absent, and languages without the concept of null will endup over-complicating things when it's time to do data validation. In this case, if a new variable is not initialized, said languagues will usually set variables to an empty string, 0, or an empty collection. However, if an empty string or 0 or empty collection are valid values for your application -- then you have a problem.
Sometimes this circumvented by inventing special/weird values for fields to represent an uninitialized state. But then what happens when the special value is entered by a well-intentioned user? And let's not get into the mess this will make of data validation routines.
If the language supported the null concept all the concerns would vanish.
Vector languages can sometimes get away with not having a null.
The empty vector serves as a typed null in this case.