I use x != null
to avoid NullPointerException
. Is there an alternative?
if (x != null) {
// ...
}
I use x != null
to avoid NullPointerException
. Is there an alternative?
if (x != null) {
// ...
}
This to me sounds like a reasonably common problem that junior to intermediate developers tend to face at some point: they either don't know or don't trust the contracts they are participating in and defensively overcheck for nulls. Additionally, when writing their own code, they tend to rely on returning nulls to indicate something thus requiring the caller to check for nulls.
To put this another way, there are two instances where null checking comes up:
Where null is a valid response in terms of the contract; and
Where it isn't a valid response.
(2) is easy. As of Java 1.7 you can use Objects.requireNonNull(foo)
. (If you are stuck with a previous version then assert
ions may be a good alternative.)
"Proper" usage of this method would be like below. The method returns the object passed into it and throws a NullPointerException
if the object is null. This means that the returned value is always non-null. The method is primarily intended for validating parameters.
public Foo(Bar bar) {
this.bar = Objects.requireNonNull(bar);
}
It can also be used like an assert
ion though since it throws an exception if the object is null. In both uses, a message can be added which will be shown in the exception. Below is using it like an assertion and providing a message.
Objects.requireNonNull(someobject, "if someobject is null then something is wrong");
someobject.doCalc();
Generally throwing a specific exception like NullPointerException
when a value is null but shouldn't be is favorable to throwing a more general exception like AssertionError
. This is the approach the Java library takes; favoring NullPointerException
over IllegalArgumentException
when an argument is not allowed to be null.
(1) is a little harder. If you have no control over the code you're calling then you're stuck. If null is a valid response, you have to check for it.
If it's code that you do control, however (and this is often the case), then it's a different story. Avoid using nulls as a response. With methods that return collections, it's easy: return empty collections (or arrays) instead of nulls pretty much all the time.
With non-collections it might be harder. Consider this as an example: if you have these interfaces:
public interface Action {
void doSomething();
}
public interface Parser {
Action findAction(String userInput);
}
where Parser takes raw user input and finds something to do, perhaps if you're implementing a command line interface for something. Now you might make the contract that it returns null if there's no appropriate action. That leads the null checking you're talking about.
An alternative solution is to never return null and instead use the Null Object pattern:
public class MyParser implements Parser {
private static Action DO_NOTHING = new Action() {
public void doSomething() { /* do nothing */ }
};
public Action findAction(String userInput) {
// ...
if ( /* we can't find any actions */ ) {
return DO_NOTHING;
}
}
}
Compare:
Parser parser = ParserFactory.getParser();
if (parser == null) {
// now what?
// this would be an example of where null isn't (or shouldn't be) a valid response
}
Action action = parser.findAction(someInput);
if (action == null) {
// do nothing
} else {
action.doSomething();
}
to
ParserFactory.getParser().findAction(someInput).doSomething();
which is a much better design because it leads to more concise code.
That said, perhaps it is entirely appropriate for the findAction() method to throw an Exception with a meaningful error message -- especially in this case where you are relying on user input. It would be much better for the findAction method to throw an Exception than for the calling method to blow up with a simple NullPointerException with no explanation.
try {
ParserFactory.getParser().findAction(someInput).doSomething();
} catch(ActionNotFoundException anfe) {
userConsole.err(anfe.getMessage());
}
Or if you think the try/catch mechanism is too ugly, rather than Do Nothing your default action should provide feedback to the user.
public Action findAction(final String userInput) {
/* Code to return requested Action if found */
return new Action() {
public void doSomething() {
userConsole.err("Action not found: " + userInput);
}
}
}
this.bar = Objects.requireNonNull(bar);
is a good use of this method, because you're not about to use this.bar
. This way, you get the exception when an invalid null object is being passed, rather than when you try to use it. But, it often gets used this way: Objects.requireNonNull(getThing()).doThingStuff();
Here, the call to Objects.requireNonNull()
doesn't change the behavior at all, it throws the NPE either way. It is best used when you are saving an object for later use. In my second example, the exception is useful. It helps track down the bug. –
Penultimate If you use (or planning to use) a Java IDE like JetBrains IntelliJ IDEA, Eclipse or Netbeans or a tool like findbugs then you can use annotations to solve this problem.
Basically, you've got @Nullable
and @NotNull
.
You can use in method and parameters, like this:
@NotNull public static String helloWorld() {
return "Hello World";
}
or
@Nullable public static String helloWorld() {
return "Hello World";
}
The second example won't compile (in IntelliJ IDEA).
When you use the first helloWorld()
function in another piece of code:
public static void main(String[] args)
{
String result = helloWorld();
if(result != null) {
System.out.println(result);
}
}
Now the IntelliJ IDEA compiler will tell you that the check is useless, since the helloWorld()
function won't return null
, ever.
Using parameter
void someMethod(@NotNull someParameter) { }
if you write something like:
someMethod(null);
This won't compile.
Last example using @Nullable
@Nullable iWantToDestroyEverything() { return null; }
Doing this
iWantToDestroyEverything().something();
And you can be sure that this won't happen. :)
It's a nice way to let the compiler check something more than it usually does and to enforce your contracts to be stronger. Unfortunately, it's not supported by all the compilers.
In IntelliJ IDEA 10.5 and on, they added support for any other @Nullable
@NotNull
implementations.
See blog post More flexible and configurable @Nullable/@NotNull annotations.
@NotNull
, @Nullable
and other nullness annotations are part of JSR 305. You can also use them to detect potential problems with tools like FindBugs. –
Lavery @NotNull
& @Nullable
interfaces live in the package com.sun.istack.internal
. (I guess I associate com.sun with warnings about using a proprietary API.) –
Sophist @NotNull
and @Nullable
are is that they nicely degrade when the source code is built by a system that doesn't understand them. So, in effect, the argument that the code is not portable may be invalid - if you use a system that supports and understands these annotations, you get the added benefit of stricter error checking, otherwise you get less of it but your code should still build fine, and the quality of your running program is THE SAME, because these annotations were not enforced at runtime anyway. Besides, all compilers are custom ;-) –
Imperforate helloWorld
twice. This is terrible. you have no idea what could be the consequences ! –
Advisable @NotNull
and @Nullable
annotation support has been added. So basically all Android developer can take advantage of it. It won't be IDE specific anymore. More information regarding support annotations here - tools.android.com/tech-docs/support-annotations –
Homeroom @Nullable
/@NotNull
for "compatibility" are missing the point. They are only there to help tools (from a static analysis) ensure that these basic contracts are met - they do not replace proper null handling, when such is appropriate per the contract (or possible per the input source). While it would be awesome if Java and C# (and the run-times) actually supported not-null reference types in the Type System, using better static analysis tooling (and explicit annotated contracts) goes a long way to reduce the 100 trillion dollar mistake that is Algo, is Java, is C# .. –
Anachronism @NotNull
and @Nullable
. –
Knapweed @Nullable
annotation to a method that will never return null. –
Penultimate If your method is called externally, start with something like this:
public void method(Object object) {
if (object == null) {
throw new IllegalArgumentException("...");
}
Then, in the rest of that method, you'll know that object
is not null.
If it is an internal method (not part of an API), just document that it cannot be null, and that's it.
Example:
public String getFirst3Chars(String text) {
return text.subString(0, 3);
}
However, if your method just passes the value on, and the next method passes it on etc. it could get problematic. In that case you may want to check the argument as above.
This really depends. If find that I often do something like this:
if (object == null) {
// something
} else {
// something else
}
So I branch, and do two completely different things. There is no ugly code snippet, because I really need to do two different things depending on the data. For example, should I work on the input, or should I calculate a good default value?
It's actually rare for me to use the idiom "if (object != null && ...
".
It may be easier to give you examples, if you show examples of where you typically use the idiom.
throw new IllegalArgumentException("object==null")
–
Kala IllegalArgumentException
is better than a plain-vanilla NPE
for these type of situations. I see a NPE as an indication that somewhere in the code, something unsafely de-referenced an expression that happened to be null (assuming all known and declared preconditions and invariants were met). An illegal argument exception OTH tells me a well-known precondition or invariant was not met. –
Presnell NullPointerException
is the Java convention. See e.g. Objects.requireNonNull
which is "primarily for doing parameter validation in methods and constructors" and throws NullPointerException
. There is also simply the doc for NullPointerException
which states that "applications should throw instances of this class to indicate other illegal uses of the null
object". –
Carreon NullArgumentException
as a subclass of IllegalArgumentException
. –
Brozak Wow, I almost hate to add another answer when we have 57 different ways to recommend the NullObject pattern
, but I think that some people interested in this question may like to know that there is a proposal on the table for Java 7 to add "null-safe handling"—a streamlined syntax for if-not-equal-null logic.
The example given by Alex Miller looks like this:
public String getPostcode(Person person) {
return person?.getAddress()?.getPostcode();
}
The ?.
means only de-reference the left identifier if it is not null, otherwise evaluate the remainder of the expression as null
. Some people, like Java Posse member Dick Wall and the voters at Devoxx really love this proposal, but there is opposition too, on the grounds that it will actually encourage more use of null
as a sentinel value.
Update: An official proposal for a null-safe operator in Java 7 has been submitted under Project Coin. The syntax is a little different than the example above, but it's the same notion.
Update: The null-safe operator proposal didn't make it into Project Coin. So, you won't be seeing this syntax in Java 7.
null
. But an even bigger mistake is to pick a strategy, to stick to it for over 20 years until billions lines of code are written, to then finally change your mind. This .?
was like a last chance to keep java "clean". It's a very simple syntactical solution. But instead they prefer to throw in a handful of different @Nullable
and Option
classes, empty collections, empty objects. The goal was to make nullability easier. But instead they added many layers of complexity. In the end, this will split the java community and will drive it to distruction. –
Helvetian You might configure your IDE to warn you about potential null dereferencing. E.g. in Eclipse, see Preferences > Java > Compiler > Errors/Warnings/Null analysis.
If you want to define a new API where undefined values make sense, use the Option Pattern (may be familiar from functional languages). It has the following advantages:
Java 8 has a built-in Optional
class (recommended); for earlier versions, there are library alternatives, for example Guava's Optional
or FunctionalJava's Option
. But like many functional-style patterns, using Option in Java (even 8) results in quite some boilerplate, which you can reduce using a less verbose JVM language, e.g. Scala or Xtend.
If you have to deal with an API which might return nulls, you can't do much in Java. Xtend and Groovy have the Elvis operator ?:
and the null-safe dereference operator ?.
, but note that this returns null in case of a null reference, so it just "defers" the proper handling of null.
Only for this situation -
Not checking if a variable is null before invoking an equals method (a string compare example below):
if ( foo.equals("bar") ) {
// ...
}
will result in a NullPointerException
if foo
doesn't exist.
You can avoid that if you compare your String
s like this:
if ( "bar".equals(foo) ) {
// ...
}
<object that you know that is not null>.equals(<object that might be null>);
. It works for other methods other than equals
if you know the contract and those methods can handle null
parameters. –
Tipper foo
later on? If a variable shouldn't be null, but is...your app needs to get a NPE so you as the developer can actually fix the underlying reason. –
Birecree Java 8 introduced the java.util.Optional
class that addresses some of the problem. One can at least say that it improves the readability of the code, and in the case of public APIs make the contract clearer to the client developer.
They work as follows:
An optional object for a given type (Fruit
) is created as the return type of a method. It can be empty or contain a Fruit
object:
public static Optional<Fruit> find(String name, List<Fruit> fruits) {
for (Fruit fruit : fruits) {
if (fruit.getName().equals(name)) {
return Optional.of(fruit);
}
}
return Optional.empty();
}
Now look at this code where we search a list of Fruit
(fruits
) for a given Fruit instance:
Optional<Fruit> found = find("lemon", fruits);
if (found.isPresent()) {
Fruit fruit = found.get(); // Prefer found.orElseThrow() in Java 9+
String name = fruit.getName();
}
You can use the map
method to perform a computation on — or extract a value from — an optional object. The orElse
method lets you provide a fallback for missing values, converting an Optional
to a non-nullable value.
String nameOrFallback = find("lemon", fruits)
.map(f -> f.getName())
.orElse("empty-name");
Of course, handling the null/empty value is still necessary, but at least the developer is conscious that the value might be empty and the risk of forgetting to check is limited.
In an API built from scratch using Optional
whenever a return value might be empty, and returning a plain object only when it cannot be null
(convention), the client code might abandon null checks on simple object return values.
Of course Optional
could also be used as a method argument, perhaps a better way to indicate optional arguments than 5 or 10 overloading methods in some cases. Be aware that using it in this manner is recommended against by Java Language Architect Brian Goetz: "You should almost never use Optional
as […] a method parameter."
Optional
offers other convenient methods, such as orElseGet
that calculates a default value only if the Optional
is empty, and ifPresent
that peforms an operation only if the Optional
is non-empty, both of which work with lambda expressions.
I invite you to read this article (the main source for writing this answer) in which the problematic behavior of NullPointerException
(and in general null pointer) and the (partial) solution brought by Optional
are well explained: Java Optional Objects.
if(optional.isPresent()){ optional.get(); }
instead of optional.ifPresent(o -> { ...})
–
Geotropism fruits.stream().filter(f -> name.equals(f.getName()).findFirst().map(Fruit::getName).orElse("empty-name");
. –
Tibbs Depending on what kind of objects you are checking you may be able to use some of the classes in the apache commons such as: apache commons lang and apache commons collections
Example:
String foo;
...
if( StringUtils.isBlank( foo ) ) {
///do something
}
or (depending on what you need to check):
String foo;
...
if( StringUtils.isEmpty( foo ) ) {
///do something
}
The StringUtils class is only one of many; there are quite a few good classes in the commons that do null safe manipulation.
Here follows an example of how you can use null vallidation in JAVA when you include apache library(commons-lang-2.4.jar)
public DOCUMENT read(String xml, ValidationEventHandler validationEventHandler) {
Validate.notNull(validationEventHandler,"ValidationHandler not Injected");
return read(new StringReader(xml), true, validationEventHandler);
}
And if you are using Spring, Spring also has the same functionality in its package, see library(spring-2.4.6.jar)
Example on how to use this static classf from spring(org.springframework.util.Assert)
Assert.notNull(validationEventHandler,"ValidationHandler not Injected");
You have to check for object != null only if you want to handle the case where the object may be null...
There is a proposal to add new annotations in Java7 to help with null / notnull params: http://tech.puredanger.com/java7/#jsr308
I'm a fan of "fail fast" code. Ask yourself - are you doing something useful in the case where the parameter is null? If you don't have a clear answer for what your code should do in that case... i.e. - it should never be null in the first place, then ignore it and allow a NullPointerException
to be thrown. The calling code will make just as much sense of an NPE as it would an IllegalArgumentException
, but it'll be easier for the developer to debug and understand what went wrong if an NPE is thrown rather than your code attempting to execute some other unexpected contingency logic - which ultimately results in the application failing anyway.
Sometimes, you have methods that operate on its parameters that define a symmetric operation:
a.f(b); <-> b.f(a);
If you know b can never be null, you can just swap it. It is most useful for equals:
Instead of foo.equals("bar");
better do "bar".equals(foo);
.
equals
(could be any method) will handle null correctly. Really all this is doing is passing the responsibility to someone else (or another method). –
Kalk equals
(or whatever method) has to check for null
anyway. Or state explicitly that it does not. –
Egyptology Rather than Null Object Pattern -- which has its uses -- you might consider situations where the null object is a bug.
When the exception is thrown, examine the stack trace and work through the bug.
The Google collections framework offers a good and elegant way to achieve the null check.
There is a method in a library class like this:
static <T> T checkNotNull(T e) {
if (e == null) {
throw new NullPointerException();
}
return e;
}
And the usage is (with import static
):
...
void foo(int a, Person p) {
if (checkNotNull(p).getAge() > a) {
...
}
else {
...
}
}
...
Or in your example:
checkNotNull(someobject).doCalc();
getThing().getItsThing().getOtherThing().wowEncapsulationIsBroken().setLol("hi");
–
Ayeaye java.util.Objects.requireNonNull
method (amongst others) that does exactly this. It's such a common idiom that I'm amazed it took this long! –
Opportunism Null is not a 'problem'. It is an integral part of a complete modeling tool set. Software aims to model the complexity of the world and null bears its burden. Null indicates 'No data' or 'Unknown' in Java and the like. So it is appropriate to use nulls for these purposes. I don't prefer the 'Null object' pattern; I think it rise the 'who will guard
the guardians' problem.
If you ask me what is the name of my girlfriend I'll tell you that I have no girlfriend. In the Java language I'll return null.
An alternative would be to throw meaningful exception to indicate some problem that can't be (or don't want to be) solved right there and delegate it somewhere higher in the stack to retry or report data access error to the user.
For an 'unknown question' give 'unknown answer'. (Be null-safe where this is correct from business point of view) Checking arguments for null once inside a method before usage relieves multiple callers from checking them before a call.
public Photo getPhotoOfThePerson(Person person) {
if (person == null)
return null;
// Grabbing some resources or intensive calculation
// using person object anyhow.
}
Previous leads to normal logic flow to get no photo of a non-existent girlfriend from my photo library.
getPhotoOfThePerson(me.getGirlfriend())
And it fits with new coming Java API (looking forward)
getPhotoByName(me.getGirlfriend()?.getName())
While it is rather 'normal business flow' not to find photo stored into the DB for some person, I used to use pairs like below for some other cases
public static MyEnum parseMyEnum(String value); // throws IllegalArgumentException
public static MyEnum parseMyEnumOrNull(String value);
And don't loathe to type <alt> + <shift> + <j>
(generate javadoc in Eclipse) and write three additional words for you public API. This will be more than enough for all but those who don't read documentation.
/**
* @return photo or null
*/
or
/**
* @return photo, never null
*/
This is rather theoretical case and in most cases you should prefer java null safe API (in case it will be released in another 10 years), but NullPointerException
is subclass of an Exception
. Thus it is a form of Throwable
that indicates conditions that a reasonable application might want to catch (javadoc)! To use the first most advantage of exceptions and separate error-handling code from 'regular' code (according to creators of Java) it is appropriate, as for me, to catch NullPointerException
.
public Photo getGirlfriendPhoto() {
try {
return appContext.getPhotoDataSource().getPhotoByName(me.getGirlfriend().getName());
} catch (NullPointerException e) {
return null;
}
}
Questions could arise:
Q. What if getPhotoDataSource()
returns null?
A. It is up to business logic. If I fail to find a photo album I'll show you no photos. What if appContext is not initialized? This method's business logic puts up with this. If the same logic should be more strict then throwing an exception it is part of the business logic and explicit check for null should be used (case 3). The new Java Null-safe API fits better here to specify selectively what implies and what does not imply to be initialized to be fail-fast in case of programmer errors.
Q. Redundant code could be executed and unnecessary resources could be grabbed.
A. It could take place if getPhotoByName()
would try to open a database connection, create PreparedStatement
and use the person name as an SQL parameter at last. The approach for an unknown question gives an unknown answer (case 1) works here. Before grabbing resources the method should check parameters and return 'unknown' result if needed.
Q. This approach has a performance penalty due to the try closure opening.
A. Software should be easy to understand and modify firstly. Only after this, one could think about performance, and only if needed! and where needed! (source), and many others).
PS. This approach will be as reasonable to use as the separate error-handling code from "regular" code principle is reasonable to use in some place. Consider the next example:
public SomeValue calculateSomeValueUsingSophisticatedLogic(Predicate predicate) {
try {
Result1 result1 = performSomeCalculation(predicate);
Result2 result2 = performSomeOtherCalculation(result1.getSomeProperty());
Result3 result3 = performThirdCalculation(result2.getSomeProperty());
Result4 result4 = performLastCalculation(result3.getSomeProperty());
return result4.getSomeProperty();
} catch (NullPointerException e) {
return null;
}
}
public SomeValue calculateSomeValueUsingSophisticatedLogic(Predicate predicate) {
SomeValue result = null;
if (predicate != null) {
Result1 result1 = performSomeCalculation(predicate);
if (result1 != null && result1.getSomeProperty() != null) {
Result2 result2 = performSomeOtherCalculation(result1.getSomeProperty());
if (result2 != null && result2.getSomeProperty() != null) {
Result3 result3 = performThirdCalculation(result2.getSomeProperty());
if (result3 != null && result3.getSomeProperty() != null) {
Result4 result4 = performLastCalculation(result3.getSomeProperty());
if (result4 != null) {
result = result4.getSomeProperty();
}
}
}
}
}
return result;
}
PPS. For those fast to downvote (and not so fast to read documentation) I would like to say that I've never caught a null-pointer exception (NPE) in my life. But this possibility was intentionally designed by the Java creators because NPE is a subclass of Exception
. We have a precedent in Java history when ThreadDeath
is an Error
not because it is actually an application error, but solely because it was not intended to be caught! How much NPE fits to be an Error
than ThreadDeath
! But it is not.
Check for 'No data' only if business logic implies it.
public void updatePersonPhoneNumber(Long personId, String phoneNumber) {
if (personId == null)
return;
DataSource dataSource = appContext.getStuffDataSource();
Person person = dataSource.getPersonById(personId);
if (person != null) {
person.setPhoneNumber(phoneNumber);
dataSource.updatePerson(person);
} else {
Person = new Person(personId);
person.setPhoneNumber(phoneNumber);
dataSource.insertPerson(person);
}
}
and
public void updatePersonPhoneNumber(Long personId, String phoneNumber) {
if (personId == null)
return;
DataSource dataSource = appContext.getStuffDataSource();
Person person = dataSource.getPersonById(personId);
if (person == null)
throw new SomeReasonableUserException("What are you thinking about ???");
person.setPhoneNumber(phoneNumber);
dataSource.updatePerson(person);
}
If appContext or dataSource is not initialized unhandled runtime NullPointerException will kill current thread and will be processed by Thread.defaultUncaughtExceptionHandler (for you to define and use your favorite logger or other notification mechanizm). If not set, ThreadGroup#uncaughtException will print stacktrace to system err. One should monitor application error log and open Jira issue for each unhandled exception which in fact is application error. Programmer should fix bug somewhere in initialization stuff.
null
sucks. –
Virus NullPointerException
and returning null
is horrible to debug. You end up with NPE later on anyway, and it's really hard to figure out what was originally null. –
Bestial if (maybeNull.hasValue()) {...}
so what is the difference with if (maybeNull != null)) {...}
? –
Agnes Maybe<T>
or Optional<T>
isn't in the case where your T
might be null, but in the case where it should never be null. If you have a type that explicitly means "this value might be null -- use with caution", and you use and return such a type consistently, then whenever you see a plain old T
in your code, you can assume it is never null. (Course, this would be a lot more useful if enforceable by the compiler.) –
Vasculum get()
and put()
boilerplate. –
Agnes Java 7 has a new java.util.Objects
utility class on which there is a requireNonNull()
method. All this does is throw a NullPointerException
if its argument is null, but it cleans up the code a bit. Example:
Objects.requireNonNull(someObject);
someObject.doCalc();
The method is most useful for checking just before an assignment in a constructor, where each use of it can save three lines of code:
Parent(Child child) {
if (child == null) {
throw new NullPointerException("child");
}
this.child = child;
}
becomes
Parent(Child child) {
this.child = Objects.requireNonNull(child, "child");
}
doCalc(someObject)
. –
Horned doCalc()
, and it doesn't immediately throw NPE when given null, you'd need to check for null and throw NPE yourself. That's what Objects.requireNonNull()
is for. –
Horned Objects.requireNonNull(object, string)
version (where you can pass an error message as 2nd argument) is more useful than the single-arg version (the latter probably just added for the sake of completeness), especially when you're using it to check multiple argument values. Say you had to check 3 arguments for null, this would reduce your code from 3 if/then-throw blocks (separated by empty lines), to 3 single lines not needing empty lines. –
Overt Ultimately, the only way to completely solve this problem is by using a different programming language:
nil
, and absolutely nothing will happen. This makes most null checks unnecessary, but it can make errors much harder to diagnose.Common "problem" in Java indeed.
First, my thoughts on this:
I consider that it is bad to "eat" something when NULL was passed where NULL isn't a valid value. If you're not exiting the method with some sort of error then it means nothing went wrong in your method which is not true. Then you probably return null in this case, and in the receiving method you again check for null, and it never ends, and you end up with "if != null", etc..
So, IMHO, null must be a critical error that prevents further execution (that is, where null is not a valid value).
The way I solve this problem is this:
First, I follow this convention:
And finally, in the code, the first line of the public method goes like this:
ValidationUtils.getNullValidator().addParam(plans, "plans").addParam(persons, "persons").validate();
Note that addParam() returns self, so that you can add more parameters to check.
Method validate()
will throw checked ValidationException
if any of the parameters is null (checked or unchecked is more a design/taste issue, but my ValidationException
is checked).
void validate() throws ValidationException;
The message will contain the following text if, for example, "plans" is null:
"Illegal argument value null is encountered for parameter [plans]"
As you can see, the second value in the addParam() method (string) is needed for the user message, because you cannot easily detect passed-in variable name, even with reflection (not the subject of this post anyway...).
And yes, we know that beyond this line we will no longer encounter a null value so we just safely invoke methods on those objects.
This way, the code is clean, easily maintainable, and readable.
Asking that question points out that you may be interested in error handling strategies. How and where to handle errors is a pervasive architectural question. There are several ways to do this.
My favorite: allow the Exceptions to ripple through - catch them at the 'main loop' or in some other function with the appropriate responsibilities. Checking for error conditions and handling them appropriately can be seen as a specialized responsibility.
Sure do have a look at Aspect Oriented Programming, too - they have neat ways to insert if( o == null ) handleNull()
into your bytecode.
In addition to using assert
you can use the following:
if (someobject == null) {
// Handle null here then move on.
}
This is slightly better than:
if (someobject != null) {
.....
.....
.....
}
if (!something) { x(); } else { y(); }
I would be inclined to refactor it as if (something) { y(); } else { x(); }
(though one could argue that != null
is the more positive option...). But more importantly, the important part of the code is not wrapped inside {}
s and you have one level less of indentation for most of the method. I don't know if that was fastcodejava's reasoning but that would be mine. –
Heighten Just don't ever use null. Don't allow it.
In my classes, most fields and local variables have non-null default values, and I add contract statements (always-on asserts) everywhere in the code to make sure this is being enforced (since it's more succinct, and more expressive than letting it come up as an NPE and then having to resolve the line number, etc.).
Once I adopted this practice, I noticed that the problems seemed to fix themselves. You'd catch things much earlier in the development process just by accident and realize you had a weak spot.. and more importantly.. it helps encapsulate different modules' concerns, different modules can 'trust' each other, and no more littering the code with if = null else
constructs!
This is defensive programming and results in much cleaner code in the long run. Always sanitize the data, e.g. here by enforcing rigid standards, and the problems go away.
class C {
private final MyType mustBeSet;
public C(MyType mything) {
mustBeSet=Contract.notNull(mything);
}
private String name = "<unknown>";
public void setName(String s) {
name = Contract.notNull(s);
}
}
class Contract {
public static <T> T notNull(T t) { if (t == null) { throw new ContractException("argument must be non-null"); return t; }
}
The contracts are like mini-unit tests which are always running, even in production, and when things fail, you know why, rather than a random NPE you have to somehow figure out.
Guava, a very useful core library by Google, has a nice and useful API to avoid nulls. I find UsingAndAvoidingNullExplained very helpful.
As explained in the wiki:
Optional<T>
is a way of replacing a nullable T reference with a non-null value. An Optional may either contain a non-null T reference (in which case we say the reference is "present"), or it may contain nothing (in which case we say the reference is "absent"). It is never said to "contain null."
Usage:
Optional<Integer> possible = Optional.of(5);
possible.isPresent(); // returns true
possible.get(); // returns 5
This is a very common problem for every Java developer. So there is official support in Java 8 to address these issues without cluttered code.
Java 8 has introduced java.util.Optional<T>
. It is a container that may or may not hold a non-null value. Java 8 has given a safer way to handle an object whose value may be null in some of the cases. It is inspired from the ideas of Haskell and Scala.
In a nutshell, the Optional class includes methods to explicitly deal with the cases where a value is present or absent. However, the advantage compared to null references is that the Optional<T> class forces you to think about the case when the value is not present. As a consequence, you can prevent unintended null pointer exceptions.
In above example we have a home service factory that returns a handle to multiple appliances available in the home. But these services may or may not be available/functional; it means it may result in a NullPointerException. Instead of adding a null if
condition before using any service, let's wrap it in to Optional<Service>.
WRAPPING TO OPTION<T>
Let's consider a method to get a reference of a service from a factory. Instead of returning the service reference, wrap it with Optional. It lets the API user know that the returned service may or may not available/functional, use defensively
public Optional<Service> getRefrigertorControl() {
Service s = new RefrigeratorService();
//...
return Optional.ofNullable(s);
}
As you see Optional.ofNullable()
provides an easy way to get the reference wrapped. There are another ways to get the reference of Optional, either Optional.empty()
& Optional.of()
. One for returning an empty object instead of retuning null and the other to wrap a non-nullable object, respectively.
SO HOW EXACTLY IT HELPS TO AVOID A NULL CHECK?
Once you have wrapped a reference object, Optional provides many useful methods to invoke methods on a wrapped reference without NPE.
Optional ref = homeServices.getRefrigertorControl();
ref.ifPresent(HomeServices::switchItOn);
Optional.ifPresent invokes the given Consumer with a reference if it is a non-null value. Otherwise, it does nothing.
@FunctionalInterface
public interface Consumer<T>
Represents an operation that accepts a single input argument and returns no result. Unlike most other functional interfaces, Consumer is expected to operate via side-effects.
It is so clean and easy to understand. In the above code example, HomeService.switchOn(Service)
gets invoked if the Optional holding reference is non-null.
We use the ternary operator very often for checking null condition and return an alternative value or default value. Optional provides another way to handle the same condition without checking null. Optional.orElse(defaultObj) returns defaultObj if the Optional has a null value. Let's use this in our sample code:
public static Optional<HomeServices> get() {
service = Optional.of(service.orElse(new HomeServices()));
return service;
}
Now HomeServices.get() does same thing, but in a better way. It checks whether the service is already initialized of not. If it is then return the same or create a new New service. Optional<T>.orElse(T) helps to return a default value.
Finally, here is our NPE as well as null check-free code:
import java.util.Optional;
public class HomeServices {
private static final int NOW = 0;
private static Optional<HomeServices> service;
public static Optional<HomeServices> get() {
service = Optional.of(service.orElse(new HomeServices()));
return service;
}
public Optional<Service> getRefrigertorControl() {
Service s = new RefrigeratorService();
//...
return Optional.ofNullable(s);
}
public static void main(String[] args) {
/* Get Home Services handle */
Optional<HomeServices> homeServices = HomeServices.get();
if(homeServices != null) {
Optional<Service> refrigertorControl = homeServices.get().getRefrigertorControl();
refrigertorControl.ifPresent(HomeServices::switchItOn);
}
}
public static void switchItOn(Service s){
//...
}
}
The complete post is NPE as well as Null check-free code … Really?.
if(homeServices != null) {
which can be changed to homeServices.ifPresent(h -> //action)
; –
Padauk I like articles from Nat Pryce. Here are the links:
In the articles there is also a link to a Git repository for a Java Maybe Type which I find interesting, but I don't think it alone could decrease the checking code bloat. After doing some research on the Internet, I think != null code bloat could be decreased mainly by careful design.
I've tried the NullObjectPattern
but for me is not always the best way to go. There are sometimes when a "no action" is not appropiate.
NullPointerException
is a Runtime exception that means it's developers fault and with enough experience it tells you exactly where is the error.
Now to the answer:
Try to make all your attributes and its accessors as private as possible or avoid to expose them to the clients at all. You can have the argument values in the constructor of course, but by reducing the scope you don't let the client class pass an invalid value. If you need to modify the values, you can always create a new object
. You check the values in the constructor only once and in the rest of the methods you can be almost sure that the values are not null.
Of course, experience is the better way to understand and apply this suggestion.
Byte!
Probably the best alternative for Java 8 or newer is to use the Optional
class.
Optional stringToUse = Optional.of("optional is there");
stringToUse.ifPresent(System.out::println);
This is especially handy for long chains of possible null values. Example:
Optional<Integer> i = Optional.ofNullable(wsObject.getFoo())
.map(f -> f.getBar())
.map(b -> b.getBaz())
.map(b -> b.getInt());
Example on how to throw exception on null:
Optional optionalCarNull = Optional.ofNullable(someNull);
optionalCarNull.orElseThrow(IllegalStateException::new);
Java 7 introduced the Objects.requireNonNull
method which can be handy when something should be checked for non-nullness. Example:
String lowerVal = Objects.requireNonNull(someVar, "input cannot be null or empty").toLowerCase();
May I answer it more generally!
We usually face this issue when the methods get the parameters in the way we not expected (bad method call is programmer's fault). For example: you expect to get an object, instead you get a null. You expect to get an String with at least one character, instead you get an empty String ...
So there is no difference between:
if(object == null){
//you called my method badly!
}
or
if(str.length() == 0){
//you called my method badly again!
}
They both want to make sure that we received valid parameters, before we do any other functions.
As mentioned in some other answers, to avoid above problems you can follow the Design by contract pattern. Please see http://en.wikipedia.org/wiki/Design_by_contract.
To implement this pattern in java, you can use core java annotations like javax.annotation.NotNull or use more sophisticated libraries like Hibernate Validator.
Just a sample:
getCustomerAccounts(@NotEmpty String customerId,@Size(min = 1) String accountType)
Now you can safely develop the core function of your method without needing to check input parameters, they guard your methods from unexpected parameters.
You can go a step further and make sure that only valid pojos could be created in your application. (sample from hibernate validator site)
public class Car {
@NotNull
private String manufacturer;
@NotNull
@Size(min = 2, max = 14)
private String licensePlate;
@Min(2)
private int seatCount;
// ...
}
javax
is, by definition, not "core Java". –
Observer I highly disregard answers that suggest using the null objects in every situation. This pattern may break the contract and bury problems deeper and deeper instead of solving them, not mentioning that used inappropriately will create another pile of boilerplate code that will require future maintenance.
In reality if something returned from a method can be null and the calling code has to make decision upon that, there should an earlier call that ensures the state.
Also keep in mind, that null object pattern will be memory hungry if used without care. For this - the instance of a NullObject should be shared between owners, and not be an unigue instance for each of these.
Also I would not recommend using this pattern where the type is meant to be a primitive type representation - like mathematical entities, that are not scalars: vectors, matrices, complex numbers and POD(Plain Old Data) objects, which are meant to hold state in form of Java built-in types. In the latter case you would end up calling getter methods with arbitrary results. For example what should a NullPerson.getName() method return?
It's worth considering such cases in order to avoid absurd results.
Doing this in your own code and you can avoid != null checks.
Most of the time null checks seem to guard loops over collections or arrays, so just initialise them empty, you won't need any null checks.
// Bad
ArrayList<String> lemmings;
String[] names;
void checkLemmings() {
if (lemmings != null) for(lemming: lemmings) {
// do something
}
}
// Good
ArrayList<String> lemmings = new ArrayList<String>();
String[] names = {};
void checkLemmings() {
for(lemming: lemmings) {
// do something
}
}
There is a tiny overhead in this, but it's worth it for cleaner code and less NullPointerExceptions.
This is the most common error occurred for most of the developers.
We have number of ways to handle this.
Approach 1:
org.apache.commons.lang.Validate //using apache framework
notNull(Object object, String message)
Approach 2:
if(someObject!=null){ // simply checking against null
}
Approach 3:
@isNull @Nullable // using annotation based validation
Approach 4:
// by writing static method and calling it across whereever we needed to check the validation
static <T> T isNull(someObject e){
if(e == null){
throw new NullPointerException();
}
return e;
}
Objects.requireNonNull()
–
Ulyanovsk Java 8 has introduced a new class Optional in java.util package.
Advantages of Java 8 Optional:
1.) Null checks are not required.
2.) No more NullPointerException at run-time.
3.) We can develop clean and neat APIs.
Optional - A container object which may or may not contain a non-null value. If a value is present, isPresent() will return true and get() will return the value.
For more details find here oracle docs :- https://docs.oracle.com/javase/8/docs/api/java/util/Optional.html
Optionals
are supposed to be used primarily for return values, as empty Objects to work without consecutive NPE
problems, not as a replacement for null checks e. g. in legacy or conventional code. –
Ulyanovsk All in all to avoid statement
if (object != null) {
....
}
since java 7 you can use Objects
methods:
Objects.isNull(object)
Objects.nonNull(object)
Objects.requireNonNull(object)
Objects.equals(object1, object2)
since java 8 you can use Optional class (when to use)
object.ifPresent(obj -> ...);
java 8
object.ifPresentOrElse(obj -> ..., () -> ...);
java 9
rely on method contract (JSR 305) and use Find Bugs. Mark your code with annotations @javax.annotation.Nullable
and @javax.annotation.Nonnnul
. Also Preconditions are available.
Preconditions.checkNotNull(object);
In special cases (for example for Strings and Collections) you can use apache-commons (or Google guava) utility methods:
public static boolean isEmpty(CharSequence cs) //apache CollectionUtils
public static boolean isEmpty(Collection coll) //apache StringUtils
public static boolean isEmpty(Map map) //apache MapUtils
public static boolean isNullOrEmpty(@Nullable String string) //Guava Strings
public static Object defaultIfNull(Object object, Object defaultValue)
public static <T> T ifNull(T toCheck, T ifNull) {
if (toCheck == null) {
return ifNull;
}
return toCheck;
}
ObjectUtils.defaultIfNull()
. There is one more general: ObjectUtils.firstNonNull()
, which can be used to implement a degrading strategy: firstNonNull(bestChoice, secondBest, thirdBest, fallBack);
–
Adaxial You can use FindBugs. They also have an Eclipse plugin) that helps you find duplicate null checks (among other things), but keep in mind that sometimes you should opt for defensive programming. There is also Contracts for Java which may be helpful.
Java 8 has introduced a new class Optional in java.util
package. It is used to represent a value is present or absent. The main advantage of this new construct is that No more too many null checks and NullPointerException
. It avoids any runtime NullPointerExceptions
and supports us in developing clean and neat Java APIs or Applications. Like Collections
and arrays
, it is also a Container to hold at most one value.
Below are some useful link you can follow
You can avoid most a lot to avoid NullPointerException
by just following most of the others answers to the Question, I just want to add few more ways which have been introduced in Java 9
to handle this scenario gracefully and also showcase a few of the older ones can also be used and thus reducing your efforts.
public static boolean isNull(Object obj)
Returns true if the provided reference is null otherwise returns false.
Since Java 1.8
public static boolean nonNull(Object obj)
Returns true if the provided reference is non-null otherwise returns false.
Since Java 1.8
public static <T> T requireNonNullElse(T obj, T defaultObj)
Returns the first argument if it is non-null and otherwise returns the non-null second argument.
Since Java 9
public static <T> T requireNonNullElseGet(T obj, Supplier<? extends T> supplier)
Returns the first argument if it is non-null and otherwise returns the non-null value of supplier.get().
Since Java 9
public static <T> T requireNonNull(T obj, Supplier<String> messageSupplier)
Checks that the specified object reference is not null and throws a customized NullPointerException otherwise.
Since Java 1.8
Further details about the above functions can be found here.
Java 9
. –
Worldbeater I follow below guidelines to avoid null checks.
Avoid lazy initialization of member variables as much as possible. Initialize the variables in declaration itself. This will handle NullPointerExceptions.
Decide on mutability of member variables early in the cycle. Use language constructs like final
keyword effectively.
If you know that augments for method won't be changed, declare them as final
.
Limit the mutation of data as much as possible. Some variables can be created in a constructor and can never be changed. Remove public setter methods unless they are really required.
E.g. Assume that one class in your application (A.java
) is maintaining a collection like HashMap
. Don't provide public
getter method in A.java and allow B.java
to directly add an element in Map
. Instead provide an API in A.java
, which adds an element into collection.
// Avoid
a.getMap().put(key,value)
//recommended
public void addElement(Object key, Object value){
// Have null checks for both key and value here : single place
map.put(key,value);
}
And finally, use try{} catch{} finally{}
blocks at right places effectively.
Since Java 7
the class java.util.Objects
exists.
But since Java 8
, you can use Objects.isNull(var)
and Objects.nonNull(var)
methods of Objects
class to do the null pointer check.
For example,
String var1 = null;
Date var2 = null;
Long var3 = null;
if(Objects.isNull(var1) && Objects.isNull(var2) && Objects.isNull(var3))
System.out.println("All Null");
else if (Objects.nonNull(var1) && Objects.nonNull(var2) && Objects.nonNull(var3))
System.out.println("All Not Null");
I find Guava Preconditions to be very useful in this case. I don't like leaving nulls to null pointer exception since the only way to understand an NPE is by locating the line number. Line numbers in production version and development version can be different.
Using Guava Preconditions, I can check null parameters and define a meaningful exception message in one line.
For example,
Preconditions.checkNotNull(paramVal, "Method foo received null paramVal");
One more alternative:
The following simple function helps to hide the null-check (I don't know why, but I haven't found it as part of the same common library):
public static <T> boolean isNull(T argument) {
return (argument == null);
}
You could now write
if (!isNull(someobject)) {
someobject.doCalc();
}
which is IMO a better way of expressing != null
.
isNotNull
? Doesn't that more clearly indicate your intent? –
Nosedive isNull
and isNotNull
method. –
Weisler Wherever you pass an array or a Vector, initialise these to empty ones, instead of null. - This way you can avoid lots of checking for null and all is good :)
public class NonNullThing {
Vector vectorField = new Vector();
int[] arrayField = new int[0];
public NonNullThing() {
// etc
}
}
If you are using java8 or later go for the isNull(yourObject)
from java.util.Objects
.
Example:-
String myObject = null;
Objects.isNull(myObject); //will return true
Usage: The below code returns a non null value (if the name is not null then that value will be returned else the default value will be returned).
final String name = "Jobin";
String nonNullValue = Optional.ofNullable(name).orElse("DefaultName");
myObject == null
and was introduced in Java8 for Predicates
in the lambda feature. –
Misgiving Objects
is introduced in java7, isNull
added to it later. –
Grettagreuze Objects.isNull
. The filter
here is superfluous. Optional.ofNullable()
will return Optional.empty()
if name
is null
, so you could just do: String nonNullValue = Optional.ofNullable(name).orElse("DefaultName");
–
Ozonize In Java 8 you can use type T
for local-variable/field/method-argument/method-return-type if it never assigned null
(and do not check for null
) or type Optional<T>
if it can be null
. Then use method map
for processing T ->
and method flatMap
for processing T -> Optional<R>
:
class SomeService {
@Inject
private CompanyDao companyDao;
// return Optional<String>
public Optional<String> selectCeoCityByCompanyId0(int companyId) {
return companyDao.selectById(companyId)
.map(Company::getCeo)
.flatMap(Person::getHomeAddress)
.flatMap(Address::getCity);
}
// return String + default value
public String selectCeoCityByCompanyId1(int companyId) {
return companyDao.selectById(companyId)
.map(Company::getCeo)
.flatMap(Person::getHomeAddress)
.flatMap(Address::getCity)
.orElse("UNKNOWN");
}
// return String + exception
public String selectCeoCityByCompanyId2(int companyId) throws NoSuchElementException {
return companyDao.selectById(companyId)
.map(Company::getCeo)
.flatMap(Person::getHomeAddress)
.flatMap(Address::getCity)
.orElseThrow(NoSuchElementException::new);
}
}
interface CompanyDao {
// real situation: no company for such id -> use Optional<Company>
Optional<Company> selectById(int id);
}
class Company {
// company always has ceo -> use Person
Person ceo;
public Person getCeo() {return ceo;}
}
class Person {
// person always has name -> use String
String firstName;
// person can be without address -> use Optional<Address>
Optional<Address> homeAddress = Optional.empty();
public String getFirstName() {return firstName;}
public Optional<Address> getHomeAddress() {return homeAddress;}
}
class Address {
// address always contains country -> use String
String country;
// city field is optional -> use Optional<String>
Optional<String> city = Optional.empty();
String getCountry() {return country;}
Optional<String> getCity() {return city;}
}
Another alternative to the != null check is (if you can't get rid of it design-wise):
Optional.ofNullable(someobject).ifPresent(someobject -> someobject.doCalc());
or
Optional.ofNullable(someobject).ifPresent(SomeClass::doCalc);
With SomeClass being someobject's type.
You can't get a return value back from doCalc() though, so only useful for void methods.
map
combined with get
or any of the other methods for getting the value in the Optional, instead of ifPresent
. –
Gaffrigged You can use an interceptor before the method call. That is what aspect-oriented programming focus on.
Suppose M1(Object test) is a method and M2 is a method where we apply an aspect before a method call, M2(Object test2)
. If test2 != null
then call M1, otherwise do another thing. It works for all methods with whom you want to apply an aspect for. If you want to apply an aspect for an instance field and constructor you can use AspectJ. Spring can also be the best choice for a method aspect.
public class Null {
public static void main(String[] args) {
String str1 = null;
String str2 = "";
if(isNullOrEmpty(str1))
System.out.println("First string is null or empty.");
else
System.out.println("First string is not null or empty.");
if(isNullOrEmpty(str2))
System.out.println("Second string is null or empty.");
else
System.out.println("Second string is not null or empty.");
}
public static boolean isNullOrEmpty(String str) {
if(str != null && !str.isEmpty())
return false;
return true;
}
}
Output
str1 is null or empty.
str2 is null or empty.
In the above program, we've two strings str1 and str2. str1 contains null value and str2 is an empty string.
We've also created a function isNullOrEmpty() which checks, as the name suggests, whether the string is null or empty. It checks it using a null check using != null and isEmpty() method of string.
In plain terms, if a string isn't a null and isEmpty() returns false, it's not either null or empty. Else, it is.
However, the above program doesn't return empty if a string contains only whitespace characters (spaces). Technically, isEmpty() sees it contains spaces and returns false. For string with spaces, we use the string method trim() to trim out all the leading and trailing whitespace characters.
There has a good way to check the null value from JDK. It is Optional.java that has a sea of methods to resolve these problems. Such as follow:
/**
* Returns an {@code Optional} describing the specified value, if non-null,
* otherwise returns an empty {@code Optional}.
*
* @param <T> the class of the value
* @param value the possibly-null value to describe
* @return an {@code Optional} with a present value if the specified value
* is non-null, otherwise an empty {@code Optional}
*/
public static <T> Optional<T> ofNullable(T value) {
return value == null ? empty() : of(value);
}
/**
* Return {@code true} if there is a value present, otherwise {@code false}.
*
* @return {@code true} if there is a value present, otherwise {@code false}
*/
public boolean isPresent() {
return value != null;
}
/**
* If a value is present, invoke the specified consumer with the value,
* otherwise do nothing.
*
* @param consumer block to be executed if a value is present
* @throws NullPointerException if value is present and {@code consumer} is
* null
*/
public void ifPresent(Consumer<? super T> consumer) {
if (value != null)
consumer.accept(value);
}
It is really, really useful to help javer.
With Java 8, you could pass a supplier to a helper method like below,
if(CommonUtil.resolve(()-> a.b().c()).isPresent()) {
}
Above replaces boiler plate code like below,
if(a!=null && a.b()!=null && a.b().c()!=null) {
}
//CommonUtil.java
public static <T> Optional<T> resolve(Supplier<T> resolver) {
try {
T result = resolver.get();
return Optional.ofNullable(result);
} catch (NullPointerException var2) {
return Optional.empty();
}
}
Java 8 now has Optional class that wraps the object in consideration and if a value is present, isPresent() will return true and get() will return the value.
http://www.oracle.com/technetwork/articles/java/java8-optional-2175753.html
OK, I now this has been technically answered a million times but I have to say this because this is an un-ending discussion with Java programmers.
Sorry but I disagree will almost all of above. The reason we have to be testing for null in Java is because must Java programmers don’t know how to handle memory.
I say this because I have a long experience programming in C++ and we don’t do this. In other words, you don’t need to. And note that, in Java, if you hit a dangling pointer you get a normal exception; in C++ this exception normally is not caught and terminates the program.
Don’t want to do this? Then follow some simple rules ala C/C++.
Don’t instantiate things so easily, think that every "new" can get you in lots of trouble and FOLLOW these simple rules.
A class shall access memory in only 3 ways ->
It can "HAVE" class members, and they will follow these rules:
This means that you need to have in mind (just like Java does) who is the owner or parent of each resource and respect that ownership. An object is only deleted by the class who created it. Also ->
Some members will be "USED" but not own or "HAVE". This are "OWN" in another class and passed as arguments to the constructor. Since these are owned by another class, we will NEVER delete or close this, only the parent can.
A method in a class can also instantiate local objects for internal use which will NEVER pass out side of the class, or they should have been normal "has" objects.
Finally for all this to work, you need to have a disciplined design with classes in hierarchy form and making no cycles.
Under this design, AND following the above rules, there is no way that a child class in a hierarchy design will ever access a pointer which was destroyed, because that means that a parent was destroyed before a child, which the hierarchical acyclic design will not allow it.
Finally, also remember when starting your system you should build from top to bottom of the hierarchy and destroy bottom to top. You will never have a null pointer anywhere, or someone is violating the rules.
You can also use the Checker Framework (with JDK 7 and beyond) to statically check for null values. This might solve a lot of problems, but requires running an extra tool that currently only works with OpenJDK AFAIK. https://checkerframework.org/
The way to avoid unnecessary null-checks
is simple to state:
You need to know which variables can be null, and which cannot, and you need to be confident about which category a given variable fall into.
But, although it can be stated simply enough, achieving it is harder. The key lies in the confident
part, because how can you be sure that a variable can't be null?
There are no quick-fix, easy answers to this, but here are some pointers:
Clean code. The most important thing for being able to reason about the behaviour of a piece of code is that it is written in a matter that is easy to understand. Name your variables based on what they represent, name your methods after what they do, apply the Single responsibility principle
(the S
in SOLID
: http://en.wikipedia.org/wiki/SOLID_(object-oriented_design), it means that each piece of code should have a single responsibility, and do this and nothing else). Once your code is clean, it is much easier to reason about it, also across multiple tiers/layers of code. With messy code, trying to understand what a method does might make you forget why you are reading the method in the first place. (Tip: Read "Clean Code" by Robert C. Martin)
Avoid returning null
values. If a null
value would keep your program from functioning correctly, throw an exception
instead (make sure to add the appropriate error-handling.) Cases where returning a null
value might be acceptable is for instance trying to fetch an object from the database. In these cases, write code that handles the null
values, and make a note behind your ear that here we have something that might return null
. Handle returned null
values as close to the caller of the method returning null
as possible (don't just blindly pass it back up the call-chain.)
Never EVER pass explicit null
values as parameters (at least not across classes). If you are ever in a position where passing a null
-parameter is the only option, creating a new method that does not have this parameter is the way to go.
Validate your input! Identify the "entry-points" to your application. They can everything from webservices, REST-services, remote EJB classes, controllers, etc. For each method in these entry-points, ask yourself: "Will this method execute correctly if this parameter is null?" If the answer is no, add Validate.notNull(someParam, "Can't function when someParam is null!");
. This will throw an IllegalArgumentException
if the required parameter is missing. The good thing about this type of validation in the entry-points, is that you can then easily assume in the code being executed from the entry-point, that this variable will never be null! Also, if this fails, being at the entry-point, debugging is made a lot easier than it would if you just got a NullPointerException
deep down in your code, since a failure like this can only mean one thing: The client didn't send you all the required information. In most cases you want to validate all input parameters, if you find yourself in a position where you need to allow a lot of null
-values, it might be a sign of a badly designed interface, which needs refactoring/additions to suite the needs of the clients.
When working with Collection
s, return an empty one rather than null!
When working with a database, utilize not null
-constraints. In that way, you'll know that a value read from the database cannot be null, and you won't have to check for it.
Structure your code and stick with it. Doing this allows you to make assumptions about the behaviour of the code, for instance if all input to your application is validated, then you can assume that these values will never be null.
If you are not already doing it, write automated tests of your code. By writing tests, you will reason about your code, and you will also become more confident that it does what it's supposed to. Also, automated tests guards you from blunders during refactoring, by letting you know immediatly that this piece of code is not doing what it used to.
You still have to null-check of course, but it can trimmed down to the bare minimum (i.e. the situation where know you might be getting a null-value, instead of everywhere just to be sure.) When it comes to null-checks, i actually prefer to use the ternary operator (but use with care, when you start nesting them they come really messy.)
public String nullSafeToString(final Object o) {
return o != null ? o.toString() : "null";
}
First of all, we can't really remove all null conditions. We can reduce them using @NotNull
and @Nullable
annotations (as mentioned already). But this needs to be backed by some framework. This is where OVal can help.
The basic idea is object/parameters/constructor should always satisfy preconditions. You can have a whole lot of preconditions such as Nullable
, NotNull
and OVal would take care that an object should be in a consistent state when invoked.
I guess OVal internally uses AspectJ to validate the preconditions.
@Guarded
public class BusinessObject
{
public BusinessObject(@NotNull String name)
{
this.name = name;
}
...
}
For example,
// Throws a ConstraintsViolatedException because parameter name is null
BusinessObject bo = new BusinessObject(null);
Personally, I would either go with jim-nelson's answer or if I do find a null check is convenient for a specific context I would incorporate lombok into my project and use the @NonNull annotation.
Example:
import lombok.NonNull;
public class NonNullExample extends Something {
private String name;
public NonNullExample(@NonNull Person person) {
super("Hello");
this.name = person.getName();
}
}
Even the @NonNull preface mention:
Objects.isNull(null)
If you are using Java8 then you can try this code.
Try using below code if you are not using Java8
Object ob=null;
if(ob==null){ **do something}
Kotlin with null safety is elegant alternative, but it means a larger change.
One Option you have
Use checker framework's @RequiresNonNull on methods. for ex you get this if you call a method annotated as such, with a null argument. It will fail during compile, even before your code runs! since at runtime it will be NullPointerException
@RequiresNonNull(value = { "#1" })
static void check( Boolean x) {
if (x) System.out.println("true");
else System.out.println("false");
}
public static void main(String[] args) {
check(null);
}
gets
[ERROR] found : null
[ERROR] required: @Initialized @NonNull Boolean
[ERROR] -> [Help 1]
There are other methods like Use Java 8's Optional, Guava Annotations, Null Object pattern etc. Does not matter as long as you obtain your goal of avoiding !=null
It is possible to define util methods which handles nested null-checks in an almost pretty way with Java 8 lambdas.
void example() {
Entry entry = new Entry();
// This is the same as H-MANs solution
Person person = getNullsafe(entry, e -> e.getPerson());
// Get object in several steps
String givenName = getNullsafe(entry, e -> e.getPerson(), p -> p.getName(), n -> n.getGivenName());
// Call void methods
doNullsafe(entry, e -> e.getPerson(), p -> p.getName(), n -> n.nameIt());
}
/** Return result of call to f1 with o1 if it is non-null, otherwise return null. */
public static <R, T1> R getNullsafe(T1 o1, Function<T1, R> f1) {
if (o1 != null) return f1.apply(o1);
return null;
}
public static <R, T0, T1> R getNullsafe(T0 o0, Function<T0, T1> f1, Function<T1, R> f2) {
return getNullsafe(getNullsafe(o0, f1), f2);
}
public static <R, T0, T1, T2> R getNullsafe(T0 o0, Function<T0, T1> f1, Function<T1, T2> f2, Function<T2, R> f3) {
return getNullsafe(getNullsafe(o0, f1, f2), f3);
}
/** Call consumer f1 with o1 if it is non-null, otherwise do nothing. */
public static <T1> void doNullsafe(T1 o1, Consumer<T1> f1) {
if (o1 != null) f1.accept(o1);
}
public static <T0, T1> void doNullsafe(T0 o0, Function<T0, T1> f1, Consumer<T1> f2) {
doNullsafe(getNullsafe(o0, f1), f2);
}
public static <T0, T1, T2> void doNullsafe(T0 o0, Function<T0, T1> f1, Function<T1, T2> f2, Consumer<T2> f3) {
doNullsafe(getNullsafe(o0, f1, f2), f3);
}
class Entry {
Person getPerson() { return null; }
}
class Person {
Name getName() { return null; }
}
class Name {
void nameIt() {}
String getGivenName() { return null; }
}
(This answer was first posted here.)
We have been using Apache libraries (Apache Commons) for this issue.
ObjectUtils.equals(object, null)
or
CollectionUtils.isEmpty(myCollection);
or
StringUtils.isEmpty("string");
I like the previous answer before, as a practice, of providing initial default values or empty sets for collections to minimize the need.
These can be simple uses that keep you from having NullPointerException or using an empty collection. This doesnt answer the question for what to do with the null object, but these provide some checks for basic validations of the object or collection.
Hope this helps.
CollectionUtils.isEmpty
and StringUtils.isEmpty
as they also do a null check, which is not implied by the method name. –
Menorrhagia I prefer this
public void simpleFunc(SomeObject someObject){
someObject = someObject != null ? someObject : new SomeObject(null);
someObject.doSomething();
}
Of course in my example SomeObject handles gracefully a null parameter. For example logging such event and doing nothing more.
I would recommend immutable objects. This practice is recommend in many coding practices and useful as industries such as financial services.
With immutability, Immutable objects cannot be changed after creation. This means fields are set at construction and never modified. This naturally eliminates nulls for those fields.
public final class Person {
private final String name;
private final int age;
public Person(String name, int age) {
this.name = name;
this.age = age;
}
public String getName() { return name; }
public int getAge() { return age; }
}
Benefits:
You can achieve the above solution using code generators like Lombok also.
It can be handled by this:
import org.apache.commons.lang.ObjectUtils;
if(!ObjectUtils.equals(x, null)){
}
x != null
? I don't get the java mindset at times. –
Vinegarish null
. And x != null
handles that gracefully and is very readable. And even if I do want to compare arbitrary objects in a null-safe way, I use the stdlib Objects.equals
nowadays, not some dependency. –
Vinegarish This is a big question ans the only valid answer is: You cannot avoid to check for null in java.
The issue comes from the language syntax itself, an object can always be both typed or null. Even an Optional object can be null.
All of the other proposals (annotations, optional ...) add just more boilerplate code around the issue but never really solve it. And even worse will add more and more complexity and corner cases to handle manually.
The only viable solution is to not write the boilerplate yourself and let another tool do it for you. That is when you use Kotlin. null safety was a major concern when they designed the language.
Also the java syntax will never change so deeply because it will imply some major breaking changes, creating a new language in fact (what kotlin already did at the end).
That is the major reason why so many companies moved to kotlin recently. Check some articles about Facebook, Google android ...
And one of the major issue in the java world is that many people learned java so long ago that they are emotionally attached to it and don't want to change their habit. So they try to justify their weird and obsolete pattern instead of just using a meta language, like TypeScript for JavaScript in the frontend world.
The best way to avoid Null Checks in Java, is to properly handle and use exceptions. Null Checks in my experience have become more common and required as you move closer to the front-end, because it's closer to the user who may supply invalid information through the UI (such as, no value, being submitted for a field).
One may argue that you should be able to control what the UI is doing, lest you forget most UI is done through a third party library of some kind, which for example, may return either NULL or an Empty String for a blank text box, depending on the situation or the library.
You can combine the two like this:
try
{
myvar = get_user_supplied_value();
if (myvar == null || myvar.length() == 0) { alert_the_user_somehow(); return; };
process_user_input(myvar);
} catch (Exception ex) {
handle_exception(ex);
}
Another approach people take is to say:
if (myvar && myvar.length() > 0) { };
You could also throw an exception (which is what I prefer)
if (myvar == null || myvar.length() == 0) {
throw new Exception("You must supply a name!");
};
But that's up to you.
!myvar
if myvar.length()
is present. Is that perhaps the way null is checked for in other languages? –
Vergne !
operator on anything other than a primitive boolean (or a Boolean object with auto-unboxing) or an expression would result in a syntax error and wouldn't compile, so I was confused. Thanks for the clarification. –
Vergne You can make one generic Method for object and string so that you can use it through out in your application- This could help you and your colleagues : Create a class eg. StringUtilities and add the method eg. getNullString
public static String getNullString(Object someobject)
{
if(null==someobject )
return null;
else if(someobject.getClass().isInstance("") &&
(((String)someobject).trim().equalsIgnoreCase("null")||
((String)someobject).trim().equalsIgnoreCase("")))
return null;
else if(someobject.getClass().isInstance(""))
return (String)someobject;
else
return someobject.toString().trim();
}
And simply call this method as,
if (StringUtilities.getNullString(someobject) != null)
{
//Do something
}
Functional approach may help to wrap the repetitive null checks and execute anonymous code like the below sample.
BiConsumer<Object, Consumer<Object>> consumeIfPresent = (s,f) ->{
if(s!=null) {
f.accept(s);
}
};
consumeIfPresent.accept(null, (s)-> System.out.println(s) );
consumeIfPresent.accept("test", (s)-> System.out.println(s));
BiFunction<Object, Function<Object,Object>,Object> executeIfPresent = (a,b) ->{
if(a!=null) {
return b.apply(a);
}
return null;
};
executeIfPresent.apply(null, (s)-> {System.out.println(s);return s;} );
executeIfPresent.apply("test", (s)-> {System.out.println(s);return s;} );
You can couple your Class with Unit Testing using a framework like JUnit. This way your code will be clean (no useless checkings) and you will be sure your instances wont be null.
This is one good reason (of many) to use Unit Testing.
For utility classes, you can check that parameters are not null.
In all other cases, you may not have to. Use encapsulation as much as possible, thus reducing the places you feel tempted to check for null.
We can use 'Objects.requireNonNull' to avoid explicit null checks.
For Ex.
public class Main {
private String myString;
public Main(String myString) {
this.myString = Objects.requireNonNull(myString, "myString must not be null");
}
}
Null object pattern can be used as a solution for this problem. For that, the class of the someObject should be modified.
public abstract class SomeObject {
public abstract boolean isNil();
}
public class NullObject extends SomeObject {
@Override
public boolean isNil() {
return true;
}
}
public class RealObject extends SomeObject {
@Override
public boolean isNil() {
return false;
}
}
Now istead of checking,
if (someobject != null) {
someobject.doCalc();
}
We can use,
if (!someObject.isNil()) {
someobject.doCalc();
}
Reference : https://www.tutorialspoint.com/design_pattern/null_object_pattern.htm
object.doCalc()
. If the object is the NullObject instance, the doCalc()
won't do anything. It will be just an empty implementation of the method. –
Vernacularism isNil
method, but use instanceof
with a cast (in modern java that should be an implicit smart-cast). isNil
does not tell you anything that the type does not. –
Vinegarish Another suggestion is to program defensively - where your classes/functions provide default values that are known and safe, and where null is reserved for true errors/exceptions.
For example, instead of functions that return Strings returning null when there is a problem (say converting a number to a string), have them return an empty String (""). You still have to test the return value before proceeding, but there would be no special cases for exceptions. An additional benefit of this style of programming is that your program will be able to differentiate and respond accordingly between normal operations and exceptions.
null
and ""
mean "missing value" –
Vinegarish © 2022 - 2024 — McMap. All rights reserved.
final
keyword and you'll live in a even better world. – BruellOptional.ofNullable(x).ifPresent(xV -> xV.someAction());
– Ictinus