Alternatives to returning NULL

Alternatives to returning NULL - java

/**
* Returns the foo with the matching id in this list
*
* #param id the id of the foo to return
* #return the foo with the matching id in this list
*/
public Foo getFoo(int id)
{
for (Foo foo : list)
{
if (foo.getID() == id)
{
return foo;
}
}
return null;
}
Instead of returning null when foo is not found, should I throw an exception? Does it matter, and is there a "best practices" idiom on the subject? By the way, I know my example is a bit contrived, but I hope you get the idea...
Thanks.
EDIT
Changed code to get Foo based on id to better illustrate a real-world scenario.

Returning null is not only more simple to handle, performs better too. The exceptions must be used to handle exceptional cases.

I'd say it depends on the semantics of your method.
Will foo be almost always found in the list? (for example, if it is a cache that holds a finite amount of objects). If so, then not being found might mean something has gone wrong -- some app initialization failed, for example, or the key is invalid -- and an exception might be justifiable.
In most circumstances, however, I'd return null. Maybe the client knows the object might not be there and has coded logic to handle that case; if you used an exception, that code would be much harder to read, understand, and maintain.
Some APIs actually provide two methods: a find method that may return null, and a get or load method that throws an exception.
Hmmm... when in doubt, err in favor of null :)

Returning null is fine, if it is documented as a valid result.
Another option is the null-object pattern. That is - an instance of Foo that doesn't have any data:
public class Foo {
public static final Foo NULL_FOO = new Foo();
}
and return it instead.

I prefer returning null. This is a perfectly fine result to return from a method, and your code that calls the method should handle null values appropriately. That might mean throwing an exception in your calling code, but I wouldn't do it in this method.
This way, if someone else wants to call your method down the line, they can handle null values differently than you if they choose. If you threw and exception it could potentially force another programmer to alter their code in a way different than what they intended.
Of course, there are some cases where it would make sense to throw an exception if something is null (like, a connection object or something like that, that you actually need to have a value and if you don't then that means something is wrong). But, as a rule of thumb, you should be fine returning null in most cases.

It's best to avoid exceptions if you can, but sometimes you just can't. In this case, what if you had stored null in the list? You can't tell the difference between 'found null' and 'could not find what you wanted'.
There is a pattern, it's called Option Types and it's used a lot in Scala. You either return a container with the item, or a container of a class that says 'I'm empty'. The wiki article will give a better picture.
You could also have a 'does this exist in the collection?' method which returns a bool, then throw an exception from the above code for if you didn't check first.
And just a comment completely unrelated to your actual question. If you implement equals, it should only return true if the two objects are actually considered equal. Therefore the above code must always return the object you pass into it!

Best pactice would be to say in the Javadoc that null is return when no match is found.
Another approach might be to return a List of matches which could be empty (and could have more than one) However I don't like this approach.
Another approach might be to return a NULL_FOO of type Foo value.
I would prefer to just return null.
One way around this is to look at what are you going to do with the value and enrich the function so that the returned value is used in the method and not returned. e.g. if you are going to call a method with the value, just call it in the function which avoids the need to return anything.

This is an old question but I didn't find guava's Optional class mentioned here and also JDK's Optional (from Java 8) which serves the same purpose and has more functionality.
This article is a good overview on the reasons for using guava's Optional. I highly recommend reading it.
Here's an excerpt:
What's the point?
Besides the increase in readability that comes from giving null a
name, the biggest advantage of Optional is its idiot-proof-ness. It
forces you to actively think about the absent case if you want your
program to compile at all, since you have to actively unwrap the
Optional and address that case. Null makes it disturbingly easy to
simply forget things, and though FindBugs helps, we don't think it
addresses the issue nearly as well.
This is especially relevant when you're returning values that may or
may not be "present." You (and others) are far more likely to forget
that other.method(a, b) could return a null value than you're likely
to forget that a could be null when you're implementing other.method.
Returning Optional makes it impossible for callers to forget that
case, since they have to unwrap the object themselves for their code
to compile.
My personal opinion, if that matters at all, is that returning null is not so terrible in an already verbose language like Java. The signature of the method sometimes screams that there can be some sort of null kind of result and using Optional doesn't add anything in terms of semantics anyway. For example:
public Point2D intersect(Line line)
Or in a method that looks up a value in a map by key.
If one calls such a method and performs a null check on the result, it's pretty obvious what is going on (checking for parallel lines or key not found). I would favor returning null lest I bloat my code.
I would always document it in the javadoc though.

majory it depends on the scenarios. If your app is itself producer and consumer of this method then it is completly upto you to decide what to do, Else you need to decide based on usage of the method and Client needs.

Returning null is perfectly acceptable. I would go the extra couple dozen keystrokes and document the possibility of returning null in the JavaDoc.
Throwing checked exception means you have to try/catch or re-throw that exception everywhere your method gets called. An unchecked exception, especially anything other than an NPE, is going to catch people by surprise.

In this case, since you're defining an accessor, it should return null. If it were another method where this method should guarantee a non-null response, an exception would be more appropriate.
As a side note though, rather than calling the sample method a getter it might be more appropriate to name it something like Foo findFoo(Foo f) since you're searching rather than just getting.

I think it's a matter of taste and in this case it also depends on if the list may contain null values. If the list may contain null values, null would also be a valid method argument and you would need to distinguish between returning null (e.g. null was passed, found and returned) or telling the method caller that the passed null value was not found.

This might not answer your question directly but it comes from a few remarks I've gotten from Stackoverflow members on similar topics.
Instead of returning null when foo is not found, should I throw an exception? Does it matter, and is there a "best practices" idiom on the subject? By the way, I know my example is a bit contrived, but I hope you get the idea..."
From what I gather, Exceptions should be thrown from a method when the Exception concerns a parameter given to the method. For example, a method accepting File instances would throw a NullPointerException or an IOException. This is following the idea that there's a contract between the caller and callee that the caller should sent valid objects and take care of them if they're invalid.
Also, you need to decide whether to handle pre- and postconditions. You can place a guard at the beginning of a method to handle parameters and this would save quite a bit of code. However, some view this as an incorrect approach in that some validation, say in a UI, should be done beforehand.
To finish off, it's perfectly valid to return a null object if the intent is to retrieve a a single instance. This is to paraphrase that an object was not found or doesn't exist. When it comes to groups of objects I think the convention is simply to return an empty Collection/List.

I'd say it depends on your app and how the method will be used.
If you expect a "not found" result happen frequently enough that it could negatively affect performance*, then return null, and check for it in the caller.
If "not found" results will be relatively rare or will cause you app give up on the request, then throwing an exception would be fine. Exceptions could make your code easier to read, as you can then guarantee a successful return will produce an object, so you don't have to null-check it.
I subscribe to the opinion that exceptions should be used for exceptional conditions, which is a superset of error conditions. I also have adopted Spring/Hibernate's preference for unchecked exceptions, which avoids burdensome try/catch logic.
* There is not much performance overhead from using exceptions vs. returning null. I just did a quick test, it takes 4ms to call a method a million times that returns null, and only 535ms to another method million times that throws an exception.

Another point of view I haven't read in the other answers is the following:
Does the list contain null's of Foo? If this is the case, one would not know whether the id was found, or whether it was associated with null. In this case:
Throw an exception that the list is not found;
Wrap the result in another object (e.g. a SearchResult, which tells you if the object was found, it's associative id, it's result, or no result if it was not found);
Create the method existsFoo(int id).
Each solution has it's own problems, and it depends on the case which to use:
As others noted, Exceptions are exceptional;
A wrapper, SearchResult, has to be allocated each time you'd like to retry a search. The wrapper can be made mutable, but this introduces a lot of new difficulties and problems;
existsFoo has to search the list which doubles the cost of knowing whether the key exists or not.
Generally I can say:
Is an ID not being found exceptional? Use IllegalArgumentException;
Is the result passed to other classes, used as an object? Use a wrapper, e.g. SearchResult;
Is with getFoo only checked whether it's null or not (it exists or not)? Use another method, existsFoo.

While I agree that coding for null is simple and easy boilerplate programmer conditioning, it adds little value for the complexity introduced. Always assuming non-null references makes for cleaner logic with slightly less code -- you still have to test for failure.
The annotation excerpt below will help you to not fall into the old ways...
Use #Nullable
To eliminate NullPointerExceptions in your codebase, you must be
disciplined about null references. We've been successful at this by
following and enforcing a simple rule:
Every parameter is non-null unless explicitly specified.
The Guava: Google Core Libraries for Java and JSR-305 have simple APIs
to get a nulls under control. Preconditions.checkNotNull can be used
to fast-fail if a null reference is found, and #Nullable can be used
to annotate a parameter that permits the null value:
import static com.google.common.base.Preconditions.checkNotNull;
import static javax.annotation.Nullable;
public class Person {
...
public Person(String firstName, String lastName, #Nullable Phone phone) {
this.firstName = checkNotNull(firstName, "firstName");
this.lastName = checkNotNull(lastName, "lastName");
this.phone = phone;
}
If null is permissible by your class, you can annotate the field or
parameter with #Nullable ... using any #Nullable annotation, like
edu.umd.cs.findbugs.annotations.Nullable or javax.annotation.Nullable.

Related

Java Optional params good practice [duplicate]

Having been using Java 8 now for 6+ months or so, I'm pretty happy with the new API changes. One area I'm still not confident in is when to use Optional. I seem to swing between wanting to use it everywhere something may be null, and nowhere at all.
There seem to be a lot of situations when I could use it, and I'm never sure if it adds benefits (readability / null safety) or just causes additional overhead.
So, I have a few examples, and I'd be interested in the community's thoughts on whether Optional is beneficial.
1 - As a public method return type when the method could return null:
public Optional<Foo> findFoo(String id);
2 - As a method parameter when the param may be null:
public Foo doSomething(String id, Optional<Bar> barOptional);
3 - As an optional member of a bean:
public class Book {
private List<Pages> pages;
private Optional<Index> index;
}
4 - In Collections:
In general I don't think:
List<Optional<Foo>>
adds anything - especially since one can use filter() to remove null values etc, but are there any good uses for Optional in collections?
Any cases I've missed?

The main design goal of Optional is to provide a means for a function returning a value to indicate the absence of a return value. See this discussion. This allows the caller to continue a chain of fluent method calls.
This most closely matches use case #1 in the OP's question. Although, absence of a value is a more precise formulation than null since something like IntStream.findFirst could never return null.
For use case #2, passing an optional argument to a method, this could be made to work, but it's rather clumsy. Suppose you have a method that takes a string followed by an optional second string. Accepting an Optional as the second arg would result in code like this:
foo("bar", Optional.of("baz"));
foo("bar", Optional.empty());
Even accepting null is nicer:
foo("bar", "baz");
foo("bar", null);
Probably the best is to have an overloaded method that accepts a single string argument and provides a default for the second:
foo("bar", "baz");
foo("bar");
This does have limitations, but it's much nicer than either of the above.
Use cases #3 and #4, having an Optional in a class field or in a data structure, is considered a misuse of the API. First, it goes against the main design goal of Optional as stated at the top. Second, it doesn't add any value.
There are three ways to deal with the absence of a value in an Optional: to provide a substitute value, to call a function to provide a substitute value, or to throw an exception. If you're storing into a field, you'd do this at initialization or assignment time. If you're adding values into a list, as the OP mentioned, you have the additional choice of simply not adding the value, thereby "flattening" out absent values.
I'm sure somebody could come up with some contrived cases where they really want to store an Optional in a field or a collection, but in general, it is best to avoid doing this.

I'm late to the game but for what it's worth, I want to add my 2 Cents. They go against the design goal of Optional, which is well summarized by Stuart Marks's answer, but I'm still convinced of their validity (obviously).
Use Optional Everywhere
In General
I wrote an entire blog post about using Optional but it basically comes down to this:
design your classes to avoid optionality wherever feasibly possible
in all remaining cases, the default should be to use Optional instead of null
possibly make exceptions for:
local variables
return values and arguments to private methods
performance critical code blocks (no guesses, use a profiler)
The first two exceptions can reduce the perceived overhead of wrapping and unwrapping references in Optional. They are chosen such that a null can never legally pass a boundary from one instance into another.
Note that this will almost never allow Optionals in collections which is almost as bad as nulls. Just don't do it. ;)
Regarding your questions
Yes.
If overloading is no option, yes.
If other approaches (subclassing, decorating, ...) are no option, yes.
Please no!
Advantages
Doing this reduces the presence of nulls in your code base, although it does not eradicate them. But that is not even the main point. There are other important advantages:
Clarifies Intent
Using Optional clearly expresses that the variable is, well, optional. Any reader of your code or consumer of your API will be beaten over the head with the fact that there might be nothing there and that a check is necessary before accessing the value.
Removes Uncertainty
Without Optional the meaning of a null occurrence is unclear. It could be a legal representation of a state (see Map.get) or an implementation error like a missing or failed initialization.
This changes dramatically with the persistent use of Optional. Here, already the occurrence of null signifies the presence of a bug. (Because if the value were allowed to be missing, an Optional would have been used.) This makes debugging a null pointer exception much easier as the question of the meaning of this null is already answered.
More Null Checks
Now that nothing can be null anymore, this can be enforced everywhere. Whether with annotations, assertions or plain checks, you never have to think about whether this argument or that return type can be null. It can't!
Disadvantages
Of course, there is no silver bullet...
Performance
Wrapping values (especially primitives) into an extra instance can degrade performance. In tight loops this might become noticeable or even worse.
Note that the compiler might be able to circumvent the extra reference for short lived lifetimes of Optionals. In Java 10 value types might further reduce or remove the penalty.
Serialization
Optional is not serializable but a workaround is not overly complicated.
Invariance
Due to the invariance of generic types in Java, certain operations become cumbersome when the actual value type is pushed into a generic type argument. An example is given here (see "Parametric polymorphism").

Personally, I prefer to use IntelliJ's Code Inspection Tool to use #NotNull and #Nullable checks as these are largely compile time (can have some runtime checks) This has lower overhead in terms of code readability and runtime performance. It is not as rigorous as using Optional, however this lack of rigour should be backed by decent unit tests.
public #Nullable Foo findFoo(#NotNull String id);
public #NotNull Foo doSomething(#NotNull String id, #Nullable Bar barOptional);
public class Book {
private List<Pages> pages;
private #Nullable Index index;
}
List<#Nullable Foo> list = ..
This works with Java 5 and no need to wrap and unwrap values. (or create wrapper objects)

I think the Guava Optional and their wiki page puts it quite well:
Besides the increase in readability that comes from giving null a name, the biggest advantage of Optional is its idiot-proof-ness. It forces you to actively think about the absent case if you want your program to compile at all, since you have to actively unwrap the Optional and address that case. Null makes it disturbingly easy to simply forget things, and though FindBugs helps, we don't think it addresses the issue nearly as well.
This is especially relevant when you're returning values that may or may not be "present." You (and others) are far more likely to forget that other.method(a, b) could return a null value than you're likely to forget that a could be null when you're implementing other.method. Returning Optional makes it impossible for callers to forget that case, since they have to unwrap the object themselves for their code to compile.
-- (Source: Guava Wiki - Using and Avoiding null - What's the point?)
Optional adds some overhead, but I think its clear advantage is to make it explicit
that an object might be absent and it enforces that programmers handle the situation. It prevents that someone forgets the beloved != null check.
Taking the example of 2, I think it is far more explicit code to write:
if(soundcard.isPresent()){
System.out.println(soundcard.get());
}
than
if(soundcard != null){
System.out.println(soundcard);
}
For me, the Optional better captures the fact that there is no soundcard present.
My 2¢ about your points:
public Optional<Foo> findFoo(String id); - I am not sure about this. Maybe I would return a Result<Foo> which might be empty or contain a Foo. It is a similar concept, but not really an Optional.
public Foo doSomething(String id, Optional<Bar> barOptional); - I would prefer #Nullable and a findbugs check, as in Peter Lawrey's answer - see also this discussion.
Your book example - I am not sure if I would use the Optional internally, that might depend on the complexity. For the "API" of a book, I would use an Optional<Index> getIndex() to explicitly indicate that the book might not have an index.
I would not use it in collections, rather not allowing null values in collections
In general, I would try to minimize passing around nulls. (Once burnt...)
I think it is worth to find the appropriate abstractions and indicate to the fellow programmers what a certain return value actually represents.

From Oracle tutorial:
The purpose of Optional is not to replace every single null reference in your codebase but rather to help design better APIs in which—just by reading the signature of a method—users can tell whether to expect an optional value. In addition, Optional forces you to actively unwrap an Optional to deal with the absence of a value; as a result, you protect your code against unintended null pointer exceptions.

In java, just don't use them unless you are addicted to functional programming.
They have no place as method arguments (I promess someone one day will pass you a null optional, not just an optional that is empty).
They make sense for return values but they invite the client class to keep on stretching the behavior-building chain.
FP and chains have little place in an imperative language like java because it makes it very hard to debug, not just to read. When you step to the line, you can't know the state nor intent of the program; you have to step into to figure it out (into code that often isn't yours and many stack frames deep despite step filters) and you have to add lots of breakpoints down to make sure it can stop in the code/lambda you added, instead of simply walking the if/else/call trivial lines.
If you want functional programming, pick something else than java and hope you have the tools for debugging that.

1 - As a public method return type when the method could return null:
Here is a good article that shows usefulness of usecase #1. There this code
...
if (user != null) {
Address address = user.getAddress();
if (address != null) {
Country country = address.getCountry();
if (country != null) {
String isocode = country.getIsocode();
isocode = isocode.toUpperCase();
}
}
}
...
is transformed to this
String result = Optional.ofNullable(user)
.flatMap(User::getAddress)
.flatMap(Address::getCountry)
.map(Country::getIsocode)
.orElse("default");
by using Optional as a return value of respective getter methods.

Here is an interesting usage (I believe) for... Tests.
I intend to heavily test one of my projects and I therefore build assertions; only there are things I have to verify and others I don't.
I therefore build things to assert and use an assert to verify them, like this:
public final class NodeDescriptor<V>
{
private final Optional<String> label;
private final List<NodeDescriptor<V>> children;
private NodeDescriptor(final Builder<V> builder)
{
label = Optional.fromNullable(builder.label);
final ImmutableList.Builder<NodeDescriptor<V>> listBuilder
= ImmutableList.builder();
for (final Builder<V> element: builder.children)
listBuilder.add(element.build());
children = listBuilder.build();
}
public static <E> Builder<E> newBuilder()
{
return new Builder<E>();
}
public void verify(#Nonnull final Node<V> node)
{
final NodeAssert<V> nodeAssert = new NodeAssert<V>(node);
nodeAssert.hasLabel(label);
}
public static final class Builder<V>
{
private String label;
private final List<Builder<V>> children = Lists.newArrayList();
private Builder()
{
}
public Builder<V> withLabel(#Nonnull final String label)
{
this.label = Preconditions.checkNotNull(label);
return this;
}
public Builder<V> withChildNode(#Nonnull final Builder<V> child)
{
Preconditions.checkNotNull(child);
children.add(child);
return this;
}
public NodeDescriptor<V> build()
{
return new NodeDescriptor<V>(this);
}
}
}
In the NodeAssert class, I do this:
public final class NodeAssert<V>
extends AbstractAssert<NodeAssert<V>, Node<V>>
{
NodeAssert(final Node<V> actual)
{
super(Preconditions.checkNotNull(actual), NodeAssert.class);
}
private NodeAssert<V> hasLabel(final String label)
{
final String thisLabel = actual.getLabel();
assertThat(thisLabel).overridingErrorMessage(
"node's label is null! I didn't expect it to be"
).isNotNull();
assertThat(thisLabel).overridingErrorMessage(
"node's label is not what was expected!\n"
+ "Expected: '%s'\nActual : '%s'\n", label, thisLabel
).isEqualTo(label);
return this;
}
NodeAssert<V> hasLabel(#Nonnull final Optional<String> label)
{
return label.isPresent() ? hasLabel(label.get()) : this;
}
}
Which means the assert really only triggers if I want to check the label!

Optional class lets you avoid to use null and provide a better alternative:
This encourages the developer to make checks for presence in order to avoid uncaught NullPointerException's.
API becomes better documented because it's possible to see, where to expect the values which can be absent.
Optional provides convenient API for further work with the object:
isPresent(); get(); orElse(); orElseGet(); orElseThrow(); map(); filter(); flatmap().
In addition, many frameworks actively use this data type and return it from their API.

An Optional has similar semantics to an unmodifiable instance of the Iterator design pattern:
it might or might not refer to an object (as given by isPresent())
it can be dereferenced (using get()) if it does refer to an object
but it can not be advanced to the next position in the sequence (it has no next() method).
Therefore consider returning or passing an Optional in contexts where you might previously have considered using a Java Iterator.

Here are some of the methods that you can perform on an instance of Optional<T>:
map
flatMap
orElse
orElseThrow
ifPresentOrElse
get
Here are all the methods that you can perform on null:
(there are none)
This is really an apples to oranges comparison: Optional<T> is an actual instance of an object (unless it is null… but that would probably be a bug) while null is an aborted object. All you can do with null is check whether it is in fact null, or not. So if you like to use methods on objects, Optional<T> is for you; if you like to branch on special literals, null is for you.
null does not compose. You simply can’t compose a value which you can only branch on. But Optional<T> does compose.
You can, for instance, make arbitrary long chains of “apply this function if non-empty” by using map. Or you can effectively make an imperative block of code which consumes the optional if it is non-empty by using ifPresent. Or you can make an “if/else” by using ifPresentOrElse, which consumes the non-empty optional if it is non-empty or else executes some other code.
…And it is at this point that we run into the true limitations of the language in my opinion: for very imperative code you have to wrap them in lambdas and pass them to methods:
opt.ifPresentOrElse(
string -> { // if present...
// ...
}, () -> { // or else...
// ...
}
);
That might not be good enough for some people, style-wise.
It would be more seamless if Optional<T> was an algebraic data type that we could pattern match on (this is obviously pseudo-code:
match (opt) {
Present(str) => {
// ...
}
Empty =>{
// ...
}
}
But anyway, in summary: Optional<T> is a pretty robust empty-or-present object. null is just a sentinel value.
Subjectively disregarded reasons
There seems to be a few people who effectively argue that efficiency should determine whether one should use Optional<T> or branch on the null sentinel value. That seems a bit like making hard and fast rules on when to make objects rather than primitives in the general case. I think it’s a bit ridiculous to use that as the starting point for this discussion when you’re already working in a language where it’s idiomatic to make objects left-and-right, top to bottom, all the time (in my opinion).

I do not think that Optional is a general substitute for methods that potentially return null values.
The basic idea is: The absence of a value does not mean that it potentially is available in the future. It's a difference between findById(-1) and findById(67).
The main information of Optionals for the caller is that he may not count on the value given but it may be available at some time. Maybe it will disappear again and comes back later one more time. It's like an on/off switch. You have the "option" to switch the light on or off. But you have no option if you do not have a light to switch on.
So I find it too messy to introduce Optionals everywhere where previously null was potentially returned. I will still use null, but only in restricted areas like the root of a tree, lazy initialization and explicit find-methods.

Seems Optional is only useful if the type T in Optional is a primitive type like int, long, char, etc. For "real" classes, it does not make sense to me as you can use a null value anyway.
I think it was taken from here (or from another similar language concept).
Nullable<T>
In C# this Nullable<T> was introduced long ago to wrap value types.

1 - As a public method return type when the method could return null:
This is the intended use case for Optional, as seen in the JDK API docs:
Optional is primarily intended for use as a method return type where
there is a clear need to represent "no result," and where using null
is likely to cause errors.
Optional represents one of two states:
it has a value (isPresent returns true)
it doesn't have a value (isEmpty returns true)
So if you have a method that returns either something or nothing, this is the ideal use case for Optional.
Here's an example:
Optional<Guitarist> findByLastName(String lastName);
This method takes a parameter used to search for an entity in the database. It's possible that no such entity exists, so using an Optional return type is a good idea since it forces whoever is calling the method to consider the empty scenario. This reduces chances of a NullPointerException.
2 - As a method parameter when the param may be null:
Although technically possible, this is not the intended use case of Optional.
Let's consider your proposed method signature:
public Foo doSomething(String id, Optional<Bar> barOptional);
The main problem is that we could call doSomething where barOptional has one of 3 states:
an Optional with a value e.g. doSomething("123", Optional.of(new Bar())
an empty Optional e.g. doSomething("123", Optional.empty())
null e.g. doSomething("123", null)
These 3 states would need to be handled in the method implementation appropriately.
A better solution is to implement an overloaded method.
public Foo doSomething(String id);
public Foo doSomething(String id, Bar bar);
This makes it very clear to the consumer of the API which method to call, and null does not need to be passed.
3 - As an optional member of a bean:
Given your example Book class:
public class Book {
private List<Pages> pages;
private Optional<Index> index;
}
The Optional class variable suffers from the same issue as the Optional method parameter discussed above. It can have one of 3 states: present, empty, or null.
Other possible issues include:
serialization: if you implement Serializable and try to serialize an object of this class, you will encounter a java.io.NotSerializableException since Optional was not designed for this use case
transforming to JSON: when serializing to JSON an Optional field may get mapped in an undesirable way e.g. {"empty":false,"present":true}.
Although if you use the popular Jackson library, it does provide a solution to this problem.
Despite these issues, Oracle themselves published this blog post at the time of the Java 8 Optional release in 2014. It contains code examples using Optional for class variables.
public class Computer {
private Optional<Soundcard> soundcard;
public Optional<Soundcard> getSoundcard() { ... }
...
}
In the following years though, developers have found better alternatives such as implementing a getter method to create the Optional object.
public class Book {
private List<Pages> pages;
private Index index;
public Optional<Index> getIndex() {
return Optional.ofNullable(index);
}
}
Here we use the ofNullable method to return an Optional with a value if index is non-null, or otherwise an empty Optional.
4 - In Collections:
I agree that creating a List of Optional (e.g. List<Optional<Foo>>) doesn't add anything.
Instead, just don't include the item in the List if it's not present.

Static default method for not initialized Classes

sometimes it would be convenient to have an easy way of doing the following:
Foo a = dosomething();
if (a != null){
if (a.isValid()){
...
}
}
My idea was to have some kind of static “default” methods for not initialized variables like this:
class Foo{
public boolean isValid(){
return true;
}
public static boolean isValid(){
return false;
}
}
And now I could do this…
Foo a = dosomething();
if (a.isValid()){
// In our example case -> variable is initialized and the "normal" method gets called
}else{
// In our example case -> variable is null
}
So, if a == null the static “default” methods from our class gets called, otherwise the method of our object gets called.
Is there either some keyword I’m missing to do exactly this or is there a reason why this is not already implemented in programming languages like java/c#?
Note: this example is not very breathtaking if this would work, however there are examples where this would be - indeed - very nice.

It's very slightly odd; ordinarily, x.foo() runs the foo() method as defined by the object that the x reference is pointing to. What you propose is a fallback mechanism where, if x is null (is referencing nothing) then we don't look at the object that x is pointing to (there's nothing its pointing at; hence, that is impossible), but that we look at the type of x, the variable itself, instead, and ask this type: Hey, can you give me the default impl of foo()?
The core problem is that you're assigning a definition to null that it just doesn't have. Your idea requires a redefinition of what null means which means the entire community needs to go back to school. I think the current definition of null in the java community is some nebulous ill defined cloud of confusion, so this is probably a good idea, but it is a huge commitment, and it is extremely easy for the OpenJDK team to dictate a direction and for the community to just ignore it. The OpenJDK team should be very hesitant in trying to 'solve' this problem by introducing a language feature, and they are.
Let's talk about the definitions of null that make sense, which definition of null your idea specifically is catering to (at the detriment of the other interpretations!), and how catering to that specific idea is already easy to do in current java, i.e. - what you propose sounds outright daft to me, in that it's just unneccessary and forces an opinion of what null means down everybody's throats for no reason.
Not applicable / undefined / unset
This definition of null is exactly how SQL defines it, and it has the following properties:
There is no default implementation available. By definition! How can one define what the size is of, say, an unset list? You can't say 0. You have no idea what the list is supposed to be. The very point is that interaction with an unset/not-applicable/unknown value should immediately lead to a result that represents either [A] the programmer messed up, the fact that they think they can interact with this value means they programmed a bug - they made an assumption about the state of the system which does not hold, or [B] that the unset nature is infectuous: The operation returns the notion 'unknown / unset / not applicable' as result.
SQL chose the B route: Any interaction with NULL in SQL land is infectuous. For example, even NULL = NULL in SQL is NULL, not FALSE. It also means that all booleans in SQL are tri-state, but this actually 'works', in that one can honestly fathom this notion. If I ask you: Hey, are the lights on?, then there are 3 reasonable answers: Yes, No, and I can't tell you right now; I don't know.
In my opinion, java as a language is meant for this definition as well, but has mostly chosen the [A] route: Throw an NPE to let everybody know: There is a bug, and to let the programmer get to the relevant line extremely quickly. NPEs are easy to solve, which is why I don't get why everybody hates NPEs. I love NPEs. So much better than some default behaviour that is usually but not always what I intended (objectively speaking, it is better to have 50 bugs that each takes 3 minutes to solve, than one bug that takes an an entire working day, by a large margin!) – this definition 'works' with the language:
Uninitialized fields, and uninitialized values in an array begin as null, and in the absence of further information, treating it as unset is correct.
They are, in fact, infectuously erroneous: Virtually all attempts to interact with them results in an exception, except ==, but that is intentional, for the same reason in SQL IS NULL will return TRUE or FALSE and not NULL: Now we're actually talking about the pointer nature of the object itself ("foo" == "foo" can be false if the 2 strings aren't the same ref: Clearly == in java between objects is about the references itself and not about the objects referenced).
A key aspect to this is that null has absolutely no semantic meaning, at all. Its lack of semantic meaning is the point. In other words, null doesn't mean that a value is short or long or blank or indicative of anything in particular. The only thing it does mean is that it means nothing. You can't derive any information from it. Hence, foo.size() is not 0 when foo is unset/unknown - the question 'what is the size of the object foo is pointing at' is unanswerable, in this definition, and thus NPE is exactly right.
Your idea would hurt this interpretation - it would confound matters by giving answers to unanswerable questions.
Sentinel / 'empty'
null is sometimes used as a value that does have semantic meaning. Something specific. For example, if you ever wrote this, you're using this interpretation:
if (x == null || x.isEmpty()) return false;
Here you've assigned a semantic meaning to null - the same meaning you assigned to an empty string. This is common in java and presumably stems from some bass ackwards notion of performance. For example, in the eclipse ecj java parser system, all empty arrays are done with null pointers. For example, the definition of a method has a field Argument[] arguments (for the method parameters; using argument is the slightly wrong word, but it is used to store the param definitions); however, for methods with zero parameters, the semantically correct choice is obviously new Argument[0]. However, that is NOT what ecj fills the Abstract Syntax Tree with, and if you are hacking around on the ecj code and assign new Argument[0] to this, other code will mess up as it just wasn't written to deal with this.
This is in my opinion bad use of null, but is quite common. And, in ecj's defense, it is about 4 times faster than javac, so I don't think it's fair to cast aspersions at their seemingly deplorably outdated code practices. If it's stupid and it works it isn't stupid, right? ecj also has a better track record than javac (going mostly by personal experience; I've found 3 bugs in ecj over the years and 12 in javac).
This kind of null does get a lot better if we implement your idea.
The better solution
What ecj should have done, get the best of both worlds: Make a public constant for it! new Argument[0], the object, is entirely immutable. You need to make a single instance, once, ever, for an entire JVM run. The JVM itself does this; try it: List.of() returns the 'singleton empty list'. So does Collections.emptyList() for the old timers in the crowd. All lists 'made' with Collections.emptyList() are actually just refs to the same singleton 'empty list' object. This works because the lists these methods make are entirely immutable.
The same can and generally should apply to you!
If you ever write this:
if (x == null || x.isEmpty())
then you messed up if we go by the first definition of null, and you're simply writing needlessly wordy, but correct, code if we go by the second
definition. You've come up with a solution to address this, but there's a much, much better one!
Find the place where x got its value, and address the boneheaded code that decided to return null instead of "". You should in fact emphatically NOT be adding null checks to your code, because it's far too easy to get into this mode where you almost always do it, and therefore you rarely actually have null refs, but it's just swiss cheese laid on top of each other: There may still be holes, and then you get NPEs. Better to never check so you get NPEs very quickly in the development process - somebody returned null where they should be returning "" instead.
Sometimes the code that made the bad null ref is out of your control. In that case, do the same thing you should always do when working with badly designed APIs: Fix it ASAP. Write a wrapper if you have to. But if you can commit a fix, do that instead. This may require making such an object.
Sentinels are awesome
Sometimes sentinel objects (objects that 'stand in' for this default / blank take, such as "" for strings, List.of() for lists, etc) can be a bit more fancy than this. For example, one can imagine using LocalDate.of(1800, 1, 1) as sentinel for a missing birthdate, but do note that this instance is not a great idea. It does crazy stuff. For example, if you write code to determine the age of a person, then it starts giving completely wrong answers (which is significantly worse than throwing an exception. With the exception you know you have a bug faster and you get a stacktrace that lets you find it in literally 500 milliseconds (just click the line, voila. That is the exact line you need to look at right now to fix the problem). It'll say someone is 212 years old all of a sudden.
But you could make a LocalDate object that does some things (such as: It CAN print itself; sentinel.toString() doesn't throw NPE but prints something like 'unset date'), but for other things it will throw an exception. For example, .getYear() would throw.
You can also make more than one sentinel. If you want a sentinel that means 'far future', that's trivially made (LocalDate.of(9999, 12, 31) is pretty good already), and you can also have one as 'for as long as anyone remembers', e.g. 'distant past'. That's cool, and not something your proposal could ever do!
You will have to deal with the consequences though. In some small ways the java ecosystem's definitions don't mesh with this, and null would perhaps have been a better standin. For example, the equals contract clearly states that a.equals(a) must always hold, and yet, just like in SQL NULL = NULL isn't TRUE, you probably don't want missingDate.equals(missingDate) to be true; that's conflating the meta with the value: You can't actually tell me that 2 missing dates are equal. By definition: The dates are missing. You do not know if they are equal or not. It is not an answerable question. And yet we can't implement the equals method of missingDate as return false; (or, better yet, as you also can't really know they aren't equal either, throw an exception) as that breaks contract (equals methods must have the identity property and must not throw, as per its own javadoc, so we can't do either of those things).
Dealing with null better
There are a few things that make dealing with null a lot easier:
Annotations: APIs can and should be very clear in communicating when their methods can return null and what that means. Annotations to turn that documentation into compiler-checked documentation is awesome. Your IDE can start warning you, as you type, that null may occur and what that means, and will say so in auto-complete dialogs too. And it's all entirely backwards compatible in all senses of the word: No need to start considering giant swaths of the java ecosystem as 'obsolete' (unlike Optional, which mostly sucks).
Optional, except this is a non-solution. The type isn't orthogonal (you can't write a method that takes a List<MaybeOptionalorNot<String>> that works on both List<String> and List<Optional<String>>, even though a method that checks the 'is it some or is it none?' state of all list members and doesn't add anything (except maybe shuffle things around) would work equally on both methods, and yet you just can't write it. This is bad, and it means all usages of optional must be 'unrolled' on the spot, and e.g. Optional<X> should show up pretty much never ever as a parameter type or field type. Only as return types and even that is dubious - I'd just stick to what Optional was made for: As return type of Stream terminal operations.
Adopting it also isn't backwards compatible. For example, hashMap.get(key) should, in all possible interpretations of what Optional is for, obviously return an Optional<V>, but it doesn't, and it never will, because java doesn't break backwards compatibility lightly and breaking that is obviously far too heavy an impact. The only real solution is to introduce java.util2 and a complete incompatible redesign of the collections API, which is splitting the java ecosystem in twain. Ask the python community (python2 vs. python3) how well that goes.
Use sentinels, use them heavily, make them available. If I were designing LocalDate, I'd have created LocalDate.FAR_FUTURE and LocalDate_DISTANT_PAST (but let it be clear that I think Stephen Colebourne, who designed JSR310, is perhaps the best API designer out there. But nothing is so perfect that it can't be complained about, right?)
Use API calls that allow defaulting. Map has this.
Do NOT write this code:
String phoneNr = phoneNumbers.get(userId);
if (phoneNr == null) return "Unknown phone number";
return phoneNr;
But DO write this:
return phoneNumbers.getOrDefault(userId, "Unknown phone number");
Don't write:
Map<Course, List<Student>> participants;
void enrollStudent(Student student) {
List<Student> participating = participants.get(econ101);
if (participating == null) {
participating = new ArrayList<Student>();
participants.put(econ101, participating);
}
participating.add(student);
}
instead write:
Map<Course, List<Student>> participants;
void enrollStudent(Student student) {
participants.computeIfAbsent(econ101,
k -> new ArrayList<Student>())
.add(student);
}
and, crucially, if you are writing APIs, ensure things like getOrDefault, computeIfAbsent, etc. are available so that the users of your API don't have to deal with null nearly as much.

You can write a static test() method like this:
static <T> boolean test(T object, Predicate<T> validation) {
return object != null && validation.test(object);
}
and
static class Foo {
public boolean isValid() {
return true;
}
}
static Foo dosomething() {
return new Foo();
}
public static void main(String[] args) {
Foo a = dosomething();
if (test(a, Foo::isValid))
System.out.println("OK");
else
System.out.println("NG");
}
output:
OK
If dosomething() returns null, it prints NG

Not exactly, but take a look at Optional:
Optional.ofNullable(dosomething())
.filter(Foo::isValid)
.ifPresent(a -> ...);

Null object design pattern Vs null object check

Why null object design pattern is better than null object check.
If we look at the memory footprint in null object design pattern we create a new dummy object of same type. Which show if we have object of big size and large number of nullable objects in search query, this pattern will create that much number of null object which will occupy more memory than a simple check which for null which my cost ignoreable delay in performance.
Null Object design pattern

The whole problem with null is that if you try to access a null value the application will throw a NullPointerException and abort.
To reduce the number of class NullXXX in this null object design pattern (its actually just the factory design dattern, not a pattern itself) you could make a static final NullCustomer which is always returned.
In Java 8 you can use the Optional approach in order to tell when a function does not always return values. This approach does not force you to create arbitrary null classes which pollute the overall structure (consider may have to refactor those null classes, too).
Eclipse and IntelliJ also offer compile time annotations #Nullable, #NonNull which give compiler warnings when accessing potential null objects. However, many frameworks are not annotated. IntelliJ therefore tries to discover those potential null accesses with static analysis.
Beside low adoption of this approach IntelliJ and Eclipse use their own annotations (org.eclipse.jdt.annotation.NonNull, com.intellij.annotations.NotNull) that those are not compatible. But, you can store the annotations outside of the code which works in IntelliJ. Eclipse want to implement this in the future, too. The problem is that there are many frameworks providing this feature giving you many different annotations doing the very same. There was JSR-305 which is dormant. It'd provide an annotation in javax. I don't know the reason why they did not pushed this further.

The major advantage of using Null Object rather than null is that using null you have to repeat checks of whether that object is indeed null, particularly in all methods that require that object.
In Java 8, one will have to do:
Object o = Objects.requireNotNull(o); //Throws NullPointerException if o is indeed null.
So, if you have a method that constantly pass the same object into various method, each method will need to check that the object received is not null before using it.
So, a better approach is to have a Null Object, or Optional (Java 8 and higher) so that you don't need to do the null check all the time. Instead one would:
Object o = optional.get(); //Throws NullPointerException if internal value is indeed null.
//Keep using o.
No (really) need for null checking. The fact that you have an Optional means that you might have a value or none.
Null Objects have no side effects because it usually does nothing (usually all methods is an empty method) so there is no need to worry about performance (bottlenecks/optimization/etc).

The main difference (and probably the advantage) of this pattern is distinctness. Think about the following method definition:
public static int length(String str);
This method calculates length of given string. But could argument be null? What will the method do? Throw exception? Return 0? Return -1? We do not know.
Some partial solution can be achieved by writing good java doc. The next and a little bit better solution is using annotations JSR305 annotattion #Nullable or #NotNullable that however can be ignored by developer.
If however you are using Null object pattern (e.g. Optional of guava or java 8) your code looks like the following:
public static int length(Optional<String> str);
So developer must care about wrapping his string into Optional and therefore understands that argument can be null. Attempt to get value from Optional that contains null causes exception that does not always happen when working with regular null.
Obviously you are right that using this pattern causes some additional CPU and memory consumption that however are not significant in most cases.

Suppose you have something like this:
private SomeClass someField;
void someMethod() {
// some other code
someField.method1();
// some other code
someField.method2();
// some other code
someField.method3();
}
Now suppose that there are valid use cases when someField can be null and you don't want to invoke its methods, but you want to execute the other some other code sections of the method. You would need to implement the method as:
void someMethod() {
// do something
if (someField != null) {
someField.method1();
}
// do something
if (someField != null) {
someField.method2();
}
// do something
if (someField != null) {
someField.method3();
}
}
By using Null object with empty (no-op) methods we avoid boilerplate null checks (and the possibility to forget to add the checks for all of the occurrences).
I often find this useful in situations when something is initialized asynchronously or optionally.

Why not have Jave methods return a tuple instead of an object reference (or null)?

Typically Java methods look like:
public <U,V> U doSomething(V aReference) {
// Do something
}
This typically means that the method doSomething() returns a null if it
fails (for whatever reason) or a valid object reference. In some cases the
"valid object reference" may itself be null. For example, the method
aMap.get(k) may return null if there is no key k or if there is a key
k but its corresponding value is null. Confusion!
Not to mention NullPointerExceptions if 50% of your LOC isn't just
null-checking.
What's wrong with methods looking like this:
public <T> ReturnTuple<T> doSomething(V aReference) {
T anotherObjRef = getValidObjT();
if (successful) {
return ReturnTuple.getSuccessTuple(anotherObjRef);
} else {
return ReturnTuple.getFailureTuple("aReference can't be null");
}
}
where the class ReturnTuple<T> is defined something like:
class ReturnTuple<T> {
private boolean success;
// Read only if success == true
private T returnValue;
// Read only if success == false
private String failureReason;
// Private constructors, getters, setters & other convenience methods
public static <T> ReturnTuple<T> getSuccessTuple(T retVal) {
// This code is trivial
}
public static <T> ReturnTuple<T> getFailureTuple(String failureReason) {
// This code is trivial
}
}
Then the calling code will look like:
ReturnTuple<T> rt = doSomething(v);
if (rt.isSuccess()) {
// yay!
} else {
// boo hoo!
}
So, my question is: why isn't this pattern more common? What is wrong with it?
Keep in mind I am not asking for a critique of this exact code, but for a
critique of this general idea.
Please note: the point here is not to get the code above to compile, just to
discuss an idea. So please don't be too pedantic about code correctness :-).
Edit 1: Motivation
I guess I should have added this section from the beginning, but better late
than never...
Ever wished a method could return two values at once? Or that the returning
of a value could be de-linked from the ability to indicate success or
failure?
This could also promote the idea of a method being a neat-and-clean
self-contained unit (low coupling and high cohesion): handle all (or most)
exceptions generated during it's execution (not talking about exceptions
like IllegalArgumentException), discreetly log failure reasons (rather
than the ugly stack trace of an uncaught exception) and only bother the
caller with exactly the information required. IMHO this also promotes
information-hiding and encapsulation.
Done your best with testing, but when the code is deployed to the customer,
an uncaught exception's ugly stack trace makes it all look so
unprofessional.
Similar to the point above: you may have code that could possibly generate
20 different exceptions but you're catching only 5-7 of those. As we all
know, customers do the damndest things: rely on them to cause all the other
uncaught 13-15 exceptions :-). You end up looking bad when they see a big
stack trace (instead of a discrete failure reason added to the logs).
This is the difference (for example) between showing a stack trace to a
user in a web app vs. showing them a nicely formatted 5xx error page saying
something like: "There was an error and your request couldn't be completed.
Admins have been notified and will fix as soon as possible." etc.
This idea isn't entirely without merit as Java 8 provides the
Optional
class (as pointed out by #JBNizet) and Google's
Guava library also has an
Optional
class. This just takes that a little further.

This typically means that the method doSomething() returns a null if it fails
No, it does not mean that. It means that the method doSomething() may sometimes legally return null, without a failure. Java provides a powerful system for handling failures - namely, exception handling. This is how the API should indicate failures.
why isn't this [return a tuple] pattern more common? What is wrong with it?
The primary thing that is wrong with this pattern is that it is using a mechanism of reporting failures in a way that is foreign to Java. If your API runs into a failure, throw an exception. This saves you from creating twice as many objects as needed in "mainstream" cases, and keeps your APIs intuitively understandable to people who learned the Java class library well.
There are situations when returning a null can be interpreted both ways - as a failure, and as a legitimate return value. Looking up objects in associative containers provide a good example: when you supply a key that is not in the map, one could claim that that is a programming error and throw an exception (.NET class library does that) or claim that when the key is missing, the corresponding spot in the map contains the default value, i.e. a null - the way this is done in Java. In situations like that it is entirely acceptable to return a tuple. Java's Map decided against this, most likely to save on creating additional objects every time an object is requested from a Map.

Uses for Optional

Having been using Java 8 now for 6+ months or so, I'm pretty happy with the new API changes. One area I'm still not confident in is when to use Optional. I seem to swing between wanting to use it everywhere something may be null, and nowhere at all.
There seem to be a lot of situations when I could use it, and I'm never sure if it adds benefits (readability / null safety) or just causes additional overhead.
So, I have a few examples, and I'd be interested in the community's thoughts on whether Optional is beneficial.
1 - As a public method return type when the method could return null:
public Optional<Foo> findFoo(String id);
2 - As a method parameter when the param may be null:
public Foo doSomething(String id, Optional<Bar> barOptional);
3 - As an optional member of a bean:
public class Book {
private List<Pages> pages;
private Optional<Index> index;
}
4 - In Collections:
In general I don't think:
List<Optional<Foo>>
adds anything - especially since one can use filter() to remove null values etc, but are there any good uses for Optional in collections?
Any cases I've missed?

The main design goal of Optional is to provide a means for a function returning a value to indicate the absence of a return value. See this discussion. This allows the caller to continue a chain of fluent method calls.
This most closely matches use case #1 in the OP's question. Although, absence of a value is a more precise formulation than null since something like IntStream.findFirst could never return null.
For use case #2, passing an optional argument to a method, this could be made to work, but it's rather clumsy. Suppose you have a method that takes a string followed by an optional second string. Accepting an Optional as the second arg would result in code like this:
foo("bar", Optional.of("baz"));
foo("bar", Optional.empty());
Even accepting null is nicer:
foo("bar", "baz");
foo("bar", null);
Probably the best is to have an overloaded method that accepts a single string argument and provides a default for the second:
foo("bar", "baz");
foo("bar");
This does have limitations, but it's much nicer than either of the above.
Use cases #3 and #4, having an Optional in a class field or in a data structure, is considered a misuse of the API. First, it goes against the main design goal of Optional as stated at the top. Second, it doesn't add any value.
There are three ways to deal with the absence of a value in an Optional: to provide a substitute value, to call a function to provide a substitute value, or to throw an exception. If you're storing into a field, you'd do this at initialization or assignment time. If you're adding values into a list, as the OP mentioned, you have the additional choice of simply not adding the value, thereby "flattening" out absent values.
I'm sure somebody could come up with some contrived cases where they really want to store an Optional in a field or a collection, but in general, it is best to avoid doing this.

Personally, I prefer to use IntelliJ's Code Inspection Tool to use #NotNull and #Nullable checks as these are largely compile time (can have some runtime checks) This has lower overhead in terms of code readability and runtime performance. It is not as rigorous as using Optional, however this lack of rigour should be backed by decent unit tests.
public #Nullable Foo findFoo(#NotNull String id);
public #NotNull Foo doSomething(#NotNull String id, #Nullable Bar barOptional);
public class Book {
private List<Pages> pages;
private #Nullable Index index;
}
List<#Nullable Foo> list = ..
This works with Java 5 and no need to wrap and unwrap values. (or create wrapper objects)

I think the Guava Optional and their wiki page puts it quite well:
Besides the increase in readability that comes from giving null a name, the biggest advantage of Optional is its idiot-proof-ness. It forces you to actively think about the absent case if you want your program to compile at all, since you have to actively unwrap the Optional and address that case. Null makes it disturbingly easy to simply forget things, and though FindBugs helps, we don't think it addresses the issue nearly as well.
This is especially relevant when you're returning values that may or may not be "present." You (and others) are far more likely to forget that other.method(a, b) could return a null value than you're likely to forget that a could be null when you're implementing other.method. Returning Optional makes it impossible for callers to forget that case, since they have to unwrap the object themselves for their code to compile.
-- (Source: Guava Wiki - Using and Avoiding null - What's the point?)
Optional adds some overhead, but I think its clear advantage is to make it explicit
that an object might be absent and it enforces that programmers handle the situation. It prevents that someone forgets the beloved != null check.
Taking the example of 2, I think it is far more explicit code to write:
if(soundcard.isPresent()){
System.out.println(soundcard.get());
}
than
if(soundcard != null){
System.out.println(soundcard);
}
For me, the Optional better captures the fact that there is no soundcard present.
My 2¢ about your points:
public Optional<Foo> findFoo(String id); - I am not sure about this. Maybe I would return a Result<Foo> which might be empty or contain a Foo. It is a similar concept, but not really an Optional.
public Foo doSomething(String id, Optional<Bar> barOptional); - I would prefer #Nullable and a findbugs check, as in Peter Lawrey's answer - see also this discussion.
Your book example - I am not sure if I would use the Optional internally, that might depend on the complexity. For the "API" of a book, I would use an Optional<Index> getIndex() to explicitly indicate that the book might not have an index.
I would not use it in collections, rather not allowing null values in collections
In general, I would try to minimize passing around nulls. (Once burnt...)
I think it is worth to find the appropriate abstractions and indicate to the fellow programmers what a certain return value actually represents.

From Oracle tutorial:
The purpose of Optional is not to replace every single null reference in your codebase but rather to help design better APIs in which—just by reading the signature of a method—users can tell whether to expect an optional value. In addition, Optional forces you to actively unwrap an Optional to deal with the absence of a value; as a result, you protect your code against unintended null pointer exceptions.

In java, just don't use them unless you are addicted to functional programming.
They have no place as method arguments (I promess someone one day will pass you a null optional, not just an optional that is empty).
They make sense for return values but they invite the client class to keep on stretching the behavior-building chain.
FP and chains have little place in an imperative language like java because it makes it very hard to debug, not just to read. When you step to the line, you can't know the state nor intent of the program; you have to step into to figure it out (into code that often isn't yours and many stack frames deep despite step filters) and you have to add lots of breakpoints down to make sure it can stop in the code/lambda you added, instead of simply walking the if/else/call trivial lines.
If you want functional programming, pick something else than java and hope you have the tools for debugging that.

1 - As a public method return type when the method could return null:
Here is a good article that shows usefulness of usecase #1. There this code
...
if (user != null) {
Address address = user.getAddress();
if (address != null) {
Country country = address.getCountry();
if (country != null) {
String isocode = country.getIsocode();
isocode = isocode.toUpperCase();
}
}
}
...
is transformed to this
String result = Optional.ofNullable(user)
.flatMap(User::getAddress)
.flatMap(Address::getCountry)
.map(Country::getIsocode)
.orElse("default");
by using Optional as a return value of respective getter methods.

Here is an interesting usage (I believe) for... Tests.
I intend to heavily test one of my projects and I therefore build assertions; only there are things I have to verify and others I don't.
I therefore build things to assert and use an assert to verify them, like this:
public final class NodeDescriptor<V>
{
private final Optional<String> label;
private final List<NodeDescriptor<V>> children;
private NodeDescriptor(final Builder<V> builder)
{
label = Optional.fromNullable(builder.label);
final ImmutableList.Builder<NodeDescriptor<V>> listBuilder
= ImmutableList.builder();
for (final Builder<V> element: builder.children)
listBuilder.add(element.build());
children = listBuilder.build();
}
public static <E> Builder<E> newBuilder()
{
return new Builder<E>();
}
public void verify(#Nonnull final Node<V> node)
{
final NodeAssert<V> nodeAssert = new NodeAssert<V>(node);
nodeAssert.hasLabel(label);
}
public static final class Builder<V>
{
private String label;
private final List<Builder<V>> children = Lists.newArrayList();
private Builder()
{
}
public Builder<V> withLabel(#Nonnull final String label)
{
this.label = Preconditions.checkNotNull(label);
return this;
}
public Builder<V> withChildNode(#Nonnull final Builder<V> child)
{
Preconditions.checkNotNull(child);
children.add(child);
return this;
}
public NodeDescriptor<V> build()
{
return new NodeDescriptor<V>(this);
}
}
}
In the NodeAssert class, I do this:
public final class NodeAssert<V>
extends AbstractAssert<NodeAssert<V>, Node<V>>
{
NodeAssert(final Node<V> actual)
{
super(Preconditions.checkNotNull(actual), NodeAssert.class);
}
private NodeAssert<V> hasLabel(final String label)
{
final String thisLabel = actual.getLabel();
assertThat(thisLabel).overridingErrorMessage(
"node's label is null! I didn't expect it to be"
).isNotNull();
assertThat(thisLabel).overridingErrorMessage(
"node's label is not what was expected!\n"
+ "Expected: '%s'\nActual : '%s'\n", label, thisLabel
).isEqualTo(label);
return this;
}
NodeAssert<V> hasLabel(#Nonnull final Optional<String> label)
{
return label.isPresent() ? hasLabel(label.get()) : this;
}
}
Which means the assert really only triggers if I want to check the label!

Optional class lets you avoid to use null and provide a better alternative:
This encourages the developer to make checks for presence in order to avoid uncaught NullPointerException's.
API becomes better documented because it's possible to see, where to expect the values which can be absent.
Optional provides convenient API for further work with the object:
isPresent(); get(); orElse(); orElseGet(); orElseThrow(); map(); filter(); flatmap().
In addition, many frameworks actively use this data type and return it from their API.

An Optional has similar semantics to an unmodifiable instance of the Iterator design pattern:
it might or might not refer to an object (as given by isPresent())
it can be dereferenced (using get()) if it does refer to an object
but it can not be advanced to the next position in the sequence (it has no next() method).
Therefore consider returning or passing an Optional in contexts where you might previously have considered using a Java Iterator.

Here are some of the methods that you can perform on an instance of Optional<T>:
map
flatMap
orElse
orElseThrow
ifPresentOrElse
get
Here are all the methods that you can perform on null:
(there are none)
This is really an apples to oranges comparison: Optional<T> is an actual instance of an object (unless it is null… but that would probably be a bug) while null is an aborted object. All you can do with null is check whether it is in fact null, or not. So if you like to use methods on objects, Optional<T> is for you; if you like to branch on special literals, null is for you.
null does not compose. You simply can’t compose a value which you can only branch on. But Optional<T> does compose.
You can, for instance, make arbitrary long chains of “apply this function if non-empty” by using map. Or you can effectively make an imperative block of code which consumes the optional if it is non-empty by using ifPresent. Or you can make an “if/else” by using ifPresentOrElse, which consumes the non-empty optional if it is non-empty or else executes some other code.
…And it is at this point that we run into the true limitations of the language in my opinion: for very imperative code you have to wrap them in lambdas and pass them to methods:
opt.ifPresentOrElse(
string -> { // if present...
// ...
}, () -> { // or else...
// ...
}
);
That might not be good enough for some people, style-wise.
It would be more seamless if Optional<T> was an algebraic data type that we could pattern match on (this is obviously pseudo-code:
match (opt) {
Present(str) => {
// ...
}
Empty =>{
// ...
}
}
But anyway, in summary: Optional<T> is a pretty robust empty-or-present object. null is just a sentinel value.
Subjectively disregarded reasons
There seems to be a few people who effectively argue that efficiency should determine whether one should use Optional<T> or branch on the null sentinel value. That seems a bit like making hard and fast rules on when to make objects rather than primitives in the general case. I think it’s a bit ridiculous to use that as the starting point for this discussion when you’re already working in a language where it’s idiomatic to make objects left-and-right, top to bottom, all the time (in my opinion).

I do not think that Optional is a general substitute for methods that potentially return null values.
The basic idea is: The absence of a value does not mean that it potentially is available in the future. It's a difference between findById(-1) and findById(67).
The main information of Optionals for the caller is that he may not count on the value given but it may be available at some time. Maybe it will disappear again and comes back later one more time. It's like an on/off switch. You have the "option" to switch the light on or off. But you have no option if you do not have a light to switch on.
So I find it too messy to introduce Optionals everywhere where previously null was potentially returned. I will still use null, but only in restricted areas like the root of a tree, lazy initialization and explicit find-methods.

Seems Optional is only useful if the type T in Optional is a primitive type like int, long, char, etc. For "real" classes, it does not make sense to me as you can use a null value anyway.
I think it was taken from here (or from another similar language concept).
Nullable<T>
In C# this Nullable<T> was introduced long ago to wrap value types.

1 - As a public method return type when the method could return null:
This is the intended use case for Optional, as seen in the JDK API docs:
Optional is primarily intended for use as a method return type where
there is a clear need to represent "no result," and where using null
is likely to cause errors.
Optional represents one of two states:
it has a value (isPresent returns true)
it doesn't have a value (isEmpty returns true)
So if you have a method that returns either something or nothing, this is the ideal use case for Optional.
Here's an example:
Optional<Guitarist> findByLastName(String lastName);
This method takes a parameter used to search for an entity in the database. It's possible that no such entity exists, so using an Optional return type is a good idea since it forces whoever is calling the method to consider the empty scenario. This reduces chances of a NullPointerException.
2 - As a method parameter when the param may be null:
Although technically possible, this is not the intended use case of Optional.
Let's consider your proposed method signature:
public Foo doSomething(String id, Optional<Bar> barOptional);
The main problem is that we could call doSomething where barOptional has one of 3 states:
an Optional with a value e.g. doSomething("123", Optional.of(new Bar())
an empty Optional e.g. doSomething("123", Optional.empty())
null e.g. doSomething("123", null)
These 3 states would need to be handled in the method implementation appropriately.
A better solution is to implement an overloaded method.
public Foo doSomething(String id);
public Foo doSomething(String id, Bar bar);
This makes it very clear to the consumer of the API which method to call, and null does not need to be passed.
3 - As an optional member of a bean:
Given your example Book class:
public class Book {
private List<Pages> pages;
private Optional<Index> index;
}
The Optional class variable suffers from the same issue as the Optional method parameter discussed above. It can have one of 3 states: present, empty, or null.
Other possible issues include:
serialization: if you implement Serializable and try to serialize an object of this class, you will encounter a java.io.NotSerializableException since Optional was not designed for this use case
transforming to JSON: when serializing to JSON an Optional field may get mapped in an undesirable way e.g. {"empty":false,"present":true}.
Although if you use the popular Jackson library, it does provide a solution to this problem.
Despite these issues, Oracle themselves published this blog post at the time of the Java 8 Optional release in 2014. It contains code examples using Optional for class variables.
public class Computer {
private Optional<Soundcard> soundcard;
public Optional<Soundcard> getSoundcard() { ... }
...
}
In the following years though, developers have found better alternatives such as implementing a getter method to create the Optional object.
public class Book {
private List<Pages> pages;
private Index index;
public Optional<Index> getIndex() {
return Optional.ofNullable(index);
}
}
Here we use the ofNullable method to return an Optional with a value if index is non-null, or otherwise an empty Optional.
4 - In Collections:
I agree that creating a List of Optional (e.g. List<Optional<Foo>>) doesn't add anything.
Instead, just don't include the item in the List if it's not present.

We Keep Coding

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