# Object orientation

version 2.4.12

This chapter covers the object orientation of the Groovy programming language.

## 1. Types

### 1.1. Primitive types

Groovy supports the same primitive types as those defined by the Java Language Specification:

- integral types: `byte` (8 bit), `short` (16 bit), `int` (32 bit) and `long` (64 bit)

- floating-point types: `float` (32 bit) and `double` (64 bit)

- `boolean` type (exactly `true` or `false`)

- `char` type (16 bit, usable as a numeric type, representing an UTF-16 code)

While Groovy declares and stores primitive fields and variables as primitives, because it uses Objects for everything, it autowraps references to primitives. Just like Java, the wrappers it uses are

Table 1. primitive wrappers
Primitive type | Wrapper class
--- | ---
boolean | Boolean
char | Character
short | Short
int | Integer
long | Long
float | Float
double | Double

Here’s an example using `int`

    class Foo {
      static int i
    }

    assert Foo.class.getDeclaredField('i').type == int.class
    assert Foo.i.class != int.class && Foo.i.class == Integer.class

Now you may be concerned that this means every time you use a mathematical operator on a reference to a primitive that you’ll incur the cost of unboxing and reboxing the primitive. But this is not the case, as Groovy will compile your operators into their method equivalents and uses those instead. Additionally, Groovy will automatically unbox to a primitive when calling a Java method that takes a primitive parameter and automatically box primitive method return values from Java. However, be aware there are some differences from Java’s method resolution.

### 1.2. Class

Groovy classes are very similar to Java classes, being compatible to those ones at JVM level. They may have methods and fields/properties, which can have the same modifiers (public, protected, private, static, etc) as Java classes.

Here are key aspects of Groovy classes, that are different from their Java counterparts:

- Public fields are turned into properties automatically, which results in less verbose code, without so many getter and setter methods. More on this aspect will be covered in the fields and properties section.

- Their declarations and any property or method without an access modifier are public.

- Classes do not need to have the same name of the files where they are defined.

- One file may contain one or more classes (but if a file contains no classes, it is considered a script).

The following code presents an example class.

    class Person {                       (1)

        String name                      (2)
        Integer age

        def increaseAge(Integer years) { (3)
            this.age += years
        }
    }

1 | class beginning, with the name `Person`
2 | string field and property named `name`
3 | method definition

#### 1.2.1. Normal class

Normal classes refer to classes which are top level and concrete. This means they can be instantiated without restrictions from any other classes or scripts. This way, they can only be public (even though the `public` keyword may be suppressed). Classes are instantiated by calling their constructors, using the `new` keyword, as in the following snippet.

    def p = new Person()

#### 1.2.2. Inner class

Inner classes are defined within another classes. The enclosing class can use the inner class as usual. On the other side, a inner class can access members of its enclosing class, even if they are private. Classes other than the enclosing class are not allowed to access inner classes. Here is an example:

    class Outer {
        private String privateStr

        def callInnerMethod() {
            new Inner().methodA()       (1)
        }

        class Inner {                   (2)
            def methodA() {
                println "${privateStr}." (3)
            }
        }
    }

1 | the inner class is instantiated and its method gets called
2 | inner class definition, inside its enclosing class
3 | even being private, a field of the enclosing class is accessed by the inner class

There are some reasons for using inner classes:

- They increase encapsulation by hiding the inner class from other classes, which do not need to know about it. This also leads to cleaner packages and workspaces.

- They provide a good organization, by grouping classes that are used by only one class.

- They lead to more maintainable codes, since inner classes are near the classes that use them.

In several cases, inner classes are implementation of interfaces whose methods are needed by the outer class. The code below illustrates this with the usage of threads, which are very common.

    class Outer2 {
        private String privateStr = 'some string'

        def startThread() {
           new Thread(new Inner2()).start()
        }

        class Inner2 implements Runnable {
            void run() {
                println "${privateStr}."
            }
        }
    }

Note that the class `Inner2` is defined only to provide an implementation of the method `run` to class `Outer2`. Anonymous inner classes help to eliminate verbosity in this case.

##### Anonymous inner class

The last example of inner class can be simplified with an anonymous inner class. The same functionality can be achieved with the following code.

    class Outer3 {
        private String privateStr = 'some string'

        def startThread() {
            new Thread(new Runnable() {      (1)
                void run() {
                    println "${privateStr}."
                }
            }).start()                       (2)
        }
    }

1 | comparing with the last example of previous section, the `new Inner2()` was replaced by `new Runnable()` along with all its implementation
2 | the method `start` is invoked normally

Thus, there was no need to define a new class to be used just once.

#### 1.2.3. Abstract class

Abstract classes represent generic concepts, thus, they cannot be instantiated, being created to be subclassed. Their members include fields/properties and abstract or concrete methods. Abstract methods do not have implementation, and must be implemented by concrete subclasses.

    abstract class Abstract {         (1)
        String name

        abstract def abstractMethod() (2)

        def concreteMethod() {
            println 'concrete'
        }
    }

1 | abstract classes must be declared with `abstract` keyword
2 | abstract methods must also be declared with `abstract` keyword

Abstract classes are commonly compared to interfaces. But there are at least two important differences of choosing one or another. First, while abstract classes may contain fields/properties and concrete methods, interfaces may contain only abstract methods (method signatures). Moreover, one class can implement several interfaces, whereas it can extend just one class, abstract or not.

### 1.3. Interface

An interface defines a contract that a class needs to conform to. An interface only defines a list of methods that need to be implemented, but does not define the methods implementation.

    interface Greeter {                                         (1)
        void greet(String name)                                 (2)
    }

1 | an interface needs to be declared using the `interface` keyword
2 | an interface only defines method signatures

Methods of an interface are always public. It is an error to use `protected` or `private` methods in interfaces:

    interface Greeter {
        protected void greet(String name)           (1)
    }

1 | Using `protected` is a compile-time error

A class implements an interface if it defines the interface in its `implements` list or if any of its superclasses does:

    class SystemGreeter implements Greeter {                    (1)
        void greet(String name) {                               (2)
            println "Hello $name"
        }
    }

    def greeter = new SystemGreeter()
    assert greeter instanceof Greeter                           (3)

1 | The `SystemGreeter` declares the `Greeter` interface using the `implements` keyword
2 | Then implements the required `greet` method
3 | Any instance of `SystemGreeter` is also an instance of the `Greeter` interface

An interface can extend another interface:

    interface ExtendedGreeter extends Greeter {                 (1)
        void sayBye(String name)
    }

1 | the `ExtendedGreeter` interface extends the `Greeter` interface using the `extends` keyword

It is worth noting that for a class to be an instance of an interface, it has to be explicit. For example, the following class defines the `greet` method as it is declared in the `Greeter` interface, but does not declare `Greeter` in its interfaces:

    class DefaultGreeter {
        void greet(String name) { println "Hello" }
    }

    greeter = new DefaultGreeter()
    assert !(greeter instanceof Greeter)

In other words, Groovy does not define structural typing. It is however possible to make an instance of an object implement an interface at runtime, using the `as` coercion operator:

    greeter = new DefaultGreeter()                              (1)
    coerced = greeter as Greeter                                (2)
    assert coerced instanceof Greeter                           (3)

1 | create an instance of `DefaultGreeter` that does not implement the interface
2 | coerce the instance into a `Greeter` at runtime
3 | the coerced instance implements the `Greeter` interface

You can see that there are two distinct objects: one is the source object, a `DefaultGreeter` instance, which does not implement the interface. The other is an instance of `Greeter` that delegates to the coerced object.

| Groovy interfaces do not support default implementation like Java 8 interfaces. If you are looking for something similar (but not equal), traits are close to interfaces, but allow default implementation as well as other important features described in this manual.

### 1.4. Constructors

Constructors are special methods used to initialize an object with a specific state. As in normal methods, it is possible for a class to declare more than one constructor. In Groovy there are two ways to invoke constructors: with positional parameters or named parameters. The former one is like we invoke Java constructors, while the second way allows one to specify the parameter names when invoking the constructor.

#### 1.4.1. Positional argument constructor

To create an object by using positional argument constructors, the respective class needs to declare each of the constructors it allows being called. A side effect of this is that, once at least one constructor is declared, the class can only be instantiated by getting one of its constructors called. It is worth noting that, in this case, there is no way to create the class with named parameters.

There is three forms of using a declared constructor. The first one is the normal Java way, with the `new` keyword. The others rely on coercion of lists into the desired types. In this case, it is possible to coerce with the `as` keyword and by statically typing the variable.

    class PersonConstructor {
        String name
        Integer age

        PersonConstructor(name, age) {          (1)
            this.name = name
            this.age = age
        }
    }

    def person1 = new PersonConstructor('Marie', 1)  (2)
    def person2 = ['Marie', 2] as PersonConstructor  (3)
    PersonConstructor person3 = ['Marie', 3]         (4)

1 | Constructor declaration
2 | Constructor invocation, classic Java way
3 | Constructor usage, using coercion with `as` keyword
4 | Constructor usage, using coercion in assignment

#### 1.4.2. Named argument constructor

If no constructor is declared, it is possible to create objects by passing parameters in the form of a map (property/value pairs). This can be in handy in cases where one wants to allow several combinations of parameters. Otherwise, by using traditional positional parameters it would be necessary to declare all possible constructors.

    class PersonWOConstructor {                                  (1)
        String name
        Integer age
    }

    def person4 = new PersonWOConstructor()                      (2)
    def person5 = new PersonWOConstructor(name: 'Marie')         (3)
    def person6 = new PersonWOConstructor(age: 1)                (4)
    def person7 = new PersonWOConstructor(name: 'Marie', age: 2) (5)

1 | No constructor declared
2 | No parameters given in the instantiation
3 | `name` parameter given in the instantiation
4 | `age` parameter given in the instantiation
5 | `name` and `age` parameters given in the instantiation

It is important to highlight, however, that this approach gives more power to the constructor caller, while imposes a major responsibility to it. Thus, if a restriction is needed, one can just declare one or more constructors, and the instantiation by named parameters will no longer be available.

### 1.5. Methods

Groovy methods are quite similar to other languages. Some peculiarities will be shown in the next subsections.

#### 1.5.1. Method definition

A method is defined with a return type or with the `def` keyword, to make the return type untyped. A method can also receive any number of arguments, which may not have their types explicitly declared. Java modifiers can be used normally, and if no visibility modifier is provided, the method is public.

Methods in Groovy always return some value. If no `return` statement is provided, the value evaluated in the last line executed will be returned. For instance, note that none of the following methods uses the `return` keyword.

    def someMethod() { 'method called' }                           (1)
    String anotherMethod() { 'another method called' }             (2)
    def thirdMethod(param1) { "$param1 passed" }                   (3)
    static String fourthMethod(String param1) { "$param1 passed" } (4)

1 | Method with no return type declared and no parameter
2 | Method with explicit return type and no parameter
3 | Method with a parameter with no type defined
4 | Static method with a String parameter

#### 1.5.2. Named arguments

Like constructors, normal methods can also be called with named arguments. They need to receive the parameters as a map. In the method body, the values can be accessed as in normal maps (`map.key`).

    def foo(Map args) { "${args.name}: ${args.age}" }
    foo(name: 'Marie', age: 1)

#### 1.5.3. Default arguments

Default arguments make parameters optional. If the argument is not supplied, the method assumes a default value.

    def foo(String par1, Integer par2 = 1) { [name: par1, age: par2] }
    assert foo('Marie').age == 1

Note that no mandatory parameter can be defined after a default parameter is present, only other default parameters.

#### 1.5.4. Varargs

Groovy supports methods with a variable number of arguments. They are defined like this: `def foo(p1, …​, pn, T…​ args)`. Here `foo` supports `n` arguments by default, but also an unspecified number of further arguments exceeding `n`.

    def foo(Object... args) { args.length }
    assert foo() == 0
    assert foo(1) == 1
    assert foo(1, 2) == 2

This example defines a method `foo`, that can take any number of arguments, including no arguments at all. `args.length` will return the number of arguments given. Groovy allows `T[]` as a alternative notation to `T…​`. That means any method with an array as last parameter is seen by Groovy as a method that can take a variable number of arguments.

    def foo(Object[] args) { args.length }
    assert foo() == 0
    assert foo(1) == 1
    assert foo(1, 2) == 2

If a method with varargs is called with `null` as the vararg parameter, then the argument will be `null` and not an array of length one with `null` as the only element.

    def foo(Object... args) { args }
    assert foo(null) == null

If a varargs method is called with an array as an argument, then the argument will be that array instead of an array of length one containing the given array as the only element.

    def foo(Object... args) { args }
    Integer[] ints = [1, 2]
    assert foo(ints) == [1, 2]

Another important point are varargs in combination with method overloading. In case of method overloading Groovy will select the most specific method. For example if a method `foo` takes a varargs argument of type `T` and another method `foo` also takes one argument of type `T`, the second method is preferred.

    def foo(Object... args) { 1 }
    def foo(Object x) { 2 }
    assert foo() == 1
    assert foo(1) == 2
    assert foo(1, 2) == 1

#### 1.5.5. Method selection algorithm

(TBD)

#### 1.5.6. Exception declaration

(TBD)

### 1.6. Fields and properties

#### 1.6.1. Fields

A field is a member of a class or a trait which:

- a mandatory access modifier (`public`, `protected`, or `private`)

- one or more optional modifiers (`static`, `final`, `synchronized`)

- an optional type

- a mandatory name

    class Data {
        private int id                                  (1)
        protected String description                    (2)
        public static final boolean DEBUG = false       (3)
    }

1 | a `private` field named `id`, of type `int`
2 | a `protected` field named `description`, of type `String`
3 | a `public static final` field named DEBUG of type `boolean`

A field may be initialized directly at declaration:

    class Data {
        private String id = IDGenerator.next() (1)
        // ...
    }

1 | the private field `id` is initialized with `IDGenerator.next()`

It is possible to omit the type declaration of a field. This is however considered a bad practice and in general it is a good idea to use strong typing for fields:

    class BadPractice {
        private mapping                         (1)
    }
    class GoodPractice {
        private Map<String,String> mapping      (2)
    }

1 | the field `mapping` doesn’t declare a type
2 | the field `mapping` has a strong type

The difference between the two is important if you want to use optional type checking later. It is also important for documentation. However in some cases like scripting or if you want to rely on duck typing it may be interesting to omit the type.

#### 1.6.2. Properties

A property is a combination of a private field and getters/setters. You can define a property with:

- an absent access modifier (no `public`, `protected` or `final`)

- one or more optional modifiers (`static`, `final`, `synchronized`)

- an optional type

- a mandatory name

Groovy will then generate the getters/setters appropriately. For example:

    class Person {
        String name                             (1)
        int age                                 (2)
    }

1 | creates a backing `private String name` field, a `getName` and a `setName` method
2 | creates a backing `private int age` field, a `getAge` and a `setAge` method

If a property is declared `final`, no setter is generated:

    class Person {
        final String name                   (1)
        final int age                       (2)
        Person(String name, int age) {
            this.name = name                (3)
            this.age = age                  (4)
        }
    }

1 | defines a read-only property of type `String`
2 | defines a read-only property of type `int`
3 | assigns the `name` parameter to the `name` field
4 | assigns the `age` parameter to the `age` field

Properties are accessed by name and will call the getter or setter transparently, unless the code is in the class which defines the property:

    class Person {
        String name
        void name(String name) {
            this.name = "Wonder$name"       (1)
        }
        String wonder() {
            this.name                       (2)
        }
    }
    def p = new Person()
    p.name = 'Marge'                        (3)
    assert p.name == 'Marge'                (4)
    p.name('Marge')                         (5)
    assert p.wonder() == 'WonderMarge'      (6)

1 | `this.name` will directly access the field because the property is accessed from within the class that defines it
2 | similarily a read access is done directly on the `name` field
3 | write access to the property is done outside of the `Person` class so it will implicitly call `setName`
4 | read access to the property is done outside of the `Person` class so it will implicitly call `getName`
5 | this will call the `name` method on `Person` which performs a direct access to the field
6 | this will call the `wonder` method on `Person` which performs a direct read access to the field

It is worth noting that this behavior of accessing the backing field directly is done in order to prevent a stack overflow when using the property access syntax within a class that defines the property.

It is possible to list the properties of a class thanks to the meta `properties` field of an instance:

    class Person {
        String name
        int age
    }
    def p = new Person()
    assert p.properties.keySet().containsAll(['name','age'])

By convention, Groovy will recognize properties even if there is no backing field provided there are getters or setters that follow the Java Beans specification. For example:

    class PseudoProperties {
        // a pseudo property "name"
        void setName(String name) {}
        String getName() {}

        // a pseudo read-only property "age"
        int getAge() { 42 }

        // a pseudo write-only property "groovy"
        void setGroovy(boolean groovy) {  }
    }
    def p = new PseudoProperties()
    p.name = 'Foo'                      (1)
    assert p.age == 42                  (2)
    p.groovy = true                     (3)

1 | writing `p.name` is allowed because there is a pseudo-property `name`
2 | reading `p.age` is allowed because there is a pseudo-readonly property `age`
3 | writing `p.groovy` is allowed because there is a pseudo-writeonly property `groovy`

This syntactic sugar is at the core of many DSLs written in Groovy.

### 1.7. Annotation

#### 1.7.1. Annotation definition

An annotation is a kind of special interface dedicated at annotating elements of the code. An annotation is a type which superinterface is the Annotation interface. Annotations are declared in a very similar way to interfaces, using the `@interface` keyword:

    @interface SomeAnnotation {}

An annotation may define members in the form of methods without bodies and an optional default value. The possible member types are limited to:

- primitive types

- Strings

- Classes

- an enumeration

- another annotation type

- or any array of the above

For example:

    @interface SomeAnnotation {
        String value()                          (1)
    }
    @interface SomeAnnotation {
        String value() default 'something'      (2)
    }
    @interface SomeAnnotation {
        int step()                              (3)
    }
    @interface SomeAnnotation {
        Class appliesTo()                       (4)
    }
    @interface SomeAnnotation {}
    @interface SomeAnnotations {
        SomeAnnotation[] value()                (5)
    }
    enum DayOfWeek { mon, tue, wed, thu, fri, sat, sun }
    @interface Scheduled {
        DayOfWeek dayOfWeek()                   (6)
    }

1 | an annotation defining a `value` member of type `String`
2 | an annotation defining a `value` member of type `String` with a default value of `something`
3 | an annotation defining a `step` member of type the primitive type `int`
4 | an annotation defining a `appliesTo` member of type `Class`
5 | an annotation defining a `value` member which type is an array of another annotation type
6 | an annotation defining a `dayOfWeek` member which type is the enumeration type `DayOfWeek`

Unlike in the Java language, in Groovy, an annotation can be used to alter the semantics of the language. It is especially true of AST transformations which will generate code based on annotations.

#### 1.7.2. Annotation placement

An annotation can be applied on various elements of the code:

    @SomeAnnotation                 (1)
    void someMethod() {
        // ...
    }

    @SomeAnnotation                 (2)
    class SomeClass {}

    @SomeAnnotation String var      (3)

1 | `@SomeAnnotation` applies to the `someMethod` method
2 | `@SomeAnnotation` applies to the `SomeClass` class
3 | `@SomeAnnotation` applies to the `var` variable

In order to limit the scope where an annotation can be applied, it is necessary to declare it on the annotation definition, using the Target annotation. For example, here is how you would declare that an annotation can be applied to a class or a method:

    import java.lang.annotation.ElementType
    import java.lang.annotation.Target

    @Target([ElementType.METHOD, ElementType.TYPE])     (1)
    @interface SomeAnnotation {}                        (2)

1 | the `@Target` annotation is meant to annotate an annotation with a scope.
2 | `@SomeAnnotation` will therefore only be allowed on `TYPE` or `METHOD`

The list of possible targets is available in the ElementType enumeration.

| Groovy does not support the TYPE_PARAMETER and TYPE_USE element types which were introduced in Java 8.

#### 1.7.3. Annotation member values

When an annotation is used, it is required to set at least all members that do not have a default value. For example:

    @interface Page {
        int statusCode()
    }

    @Page(statusCode=404)
    void notFound() {
        // ...
    }

However it is possible to omit `value=` in the declaration of the value of an annotation if the member `value` is the only one being set:

    @interface Page {
        String value()
        int statusCode() default 200
    }

    @Page(value='/home')                    (1)
    void home() {
        // ...
    }

    @Page('/users')                         (2)
    void userList() {
        // ...
    }

    @Page(value='error',statusCode=404)     (3)
    void notFound() {
        // ...
    }

1 | we can omit the `statusCode` because it has a default value, but `value` needs to be set
2 | since `value` is the only mandatory member without a default, we can omit `value=`
3 | if both `value` and `statusCode` need to be set, it is required to use `value=` for the default `value` member

#### 1.7.4. Retention policy

The visibility of an annotation depends on its retention policy. The retention policy of an annotation is set using the Retention annotation:

    import java.lang.annotation.Retention
    import java.lang.annotation.RetentionPolicy

    @Retention(RetentionPolicy.SOURCE)                   (1)
    @interface SomeAnnotation {}                         (2)

1 | the `@Retention` annotation annotates the `@SomeAnnotation` annotation
2 | so `@SomeAnnotation` will have a `SOURCE` retention

The list of possible retention targets and description is available in the RetentionPolicy enumeration. The choice usually depends on whether you want an annotation to be visible at compile time or runtime.

#### 1.7.5. Closure annotation parameters

An interesting feature of annotations in Groovy is that you can use a closure as an annotation value. Therefore annotations may be used with a wide variety of expressions and still have IDE support. For example, imagine a framework where you want to execute some methods based on environmental constraints like the JDK version or the OS. One could write the following code:

    class Tasks {
        Set result = []
        void alwaysExecuted() {
            result << 1
        }
        @OnlyIf({ jdk>=6 })
        void supportedOnlyInJDK6() {
            result << 'JDK 6'
        }
        @OnlyIf({ jdk>=7 && windows })
        void requiresJDK7AndWindows() {
            result << 'JDK 7 Windows'
        }
    }

For the `@OnlyIf` annotation to accept a `Closure` as an argument, you only have to declare the `value` as a `Class`:

    @Retention(RetentionPolicy.RUNTIME)
    @interface OnlyIf {
        Class value()                    (1)
    }

To complete the example, let’s write a sample runner that would use that information:

    class Runner {
        static <T> T run(Class<T> taskClass) {
            def tasks = taskClass.newInstance()                                         (1)
            def params = [jdk:6, windows: false]                                        (2)
            tasks.class.declaredMethods.each { m ->                                     (3)
                if (Modifier.isPublic(m.modifiers) && m.parameterTypes.length == 0) {   (4)
                    def onlyIf = m.getAnnotation(OnlyIf)                                (5)
                    if (onlyIf) {
                        Closure cl = onlyIf.value().newInstance(tasks,tasks)            (6)
                        cl.delegate = params                                            (7)
                        if (cl()) {                                                     (8)
                            m.invoke(tasks)                                             (9)
                        }
                    } else {
                        m.invoke(tasks)                                                 (10)
                    }
                }
            }
            tasks                                                                       (11)
        }
    }

1 | create a new instance of the class passed as an argument (the task class)
2 | emulate an environment which is JDK 6 and not Windows
3 | iterate on all declared methods of the task class
4 | if the method is public and takes no-argument
5 | try to find the `@OnlyIf` annotation
6 | if it is found get the `value` and create a new `Closure` out of it
7 | set the `delegate` of the closure to our environment variable
8 | call the closure, which is the annotation closure. It will return a `boolean`
9 | if it is `true`, call the method
10 | if the method is not annotated with `@OnlyIf`, execute the method anyway
11 | after that, return the task object

Then the runner can be used this way:

    def tasks = Runner.run(Tasks)
    assert tasks.result == [1, 'JDK 6'] as Set

#### 1.7.6. Meta-annotations

##### Declaring meta-annotations

Meta-annotations, also known as annotation aliases are annotations that are replaced at compile time by other annotations (one meta-annotation is an alias for one or more annotations). Meta-annotations can be used to reduce the size of code involving multiple annotations.

Let’s start with a simple example. Imagine you have the `@Service` and `@Transactional` annotations and that you want to annotate a class with both:

    @Service
    @Transactional
    class MyTransactionalService {}

Given the multiplication of annotations that you could add to the same class, a meta-annotation could help by reducing the two annotations with a single one having the very same semantics. For example, we might want to write this instead:

    @TransactionalService                           (1)
    class MyTransactionalService {}

1 | `@TransactionalService` is a meta-annotation

A meta-annotation is declared as a regular annotation but annotated with `@AnnotationCollector` and the list of annotations it is collecting. In our case, the `@TransactionalService` annotation can be written:

    import groovy.transform.AnnotationCollector

    @Service                                        (1)
    @Transactional                                  (2)
    @AnnotationCollector                            (3)
    @interface TransactionalService {
    }

1 | annotate the meta-annotation with `@Service`
2 | annotate the meta-annotation with `@Transactional`
3 | annotate the meta-annotation with `@AnnotationCollector`

##### Behavior of meta-annotations

Groovy supports both precompiled and source form meta-annotations. This means that your meta-annotation may be precompiled, or you can have it in the same source tree as the one you are currently compiling.

INFO: Meta-annotations are a Groovy feature only. There is no chance for you to annotate a Java class with a meta-annotation and hope it will do the same as in Groovy. Likewise, you cannot write a meta-annotation in Java: both the meta-annotation definition and usage have to be Groovy code.

When the Groovy compiler encounters a class annotated with a meta-annotation, it replaces it with the collected annotations. That is, in our previous example, that it will replace `@TransactionalService` with `@Transactional` and `@Service`:

    def annotations = MyTransactionalService.annotations*.annotationType()
    assert (Service in annotations)
    assert (Transactional in annotations)

The conversion from a meta-annotation to the collected annotations is performed during the semantic analysis compilation phase.

In addition to replacing the alias with the collected annotations, a meta-annotation is capable of processing them, including arguments.

##### Meta-annotation parameters

Meta-annotations can collect annotations which have parameters. To illustrate this, we will imagine two annotations, each of them accepting one argument:

    @Timeout(after=3600)
    @Dangerous(type='explosive')

And that you want create a meta-annotation named `@Explosive`:

    @Timeout(after=3600)
    @Dangerous(type='explosive')
    @AnnotationCollector
    public @interface Explosive {}

By default, when the annotations are replaced, they will get the values as they were defined in the alias. More interesting, the meta-annotation supports overriding specific values:

    @Explosive(after=0)                 (1)
    class Bomb {}

1 | the `after` value provided as a parameter to `@Explosive` overrides the one defined in the `@Timeout` annotation

If two annotations define the same parameter name, the default processor will copy the annotation value to all annotations that accept this parameter:

    @Retention(RetentionPolicy.RUNTIME)
    public @interface Foo {
       String value()                                   (1)
    }
    @Retention(RetentionPolicy.RUNTIME)
    public @interface Bar {
        String value()                                  (2)
    }

    @Foo
    @Bar
    @AnnotationCollector
    public @interface FooBar {}                         (3)

    @Foo('a')
    @Bar('b')
    class Bob {}                                        (4)

    assert Bob.getAnnotation(Foo).value() == 'a'        (5)
    println Bob.getAnnotation(Bar).value() == 'b'       (6)

    @FooBar('a')
    class Joe {}                                        (7)
    assert Joe.getAnnotation(Foo).value() == 'a'        (8)
    println Joe.getAnnotation(Bar).value() == 'a'       (9)

1 | the `@Foo` annotation defines the `value` member of type `String`
2 | the `@Bar` annotation also defines the `value` member of type `String`
3 | the `@FooBar` meta-annotation aggregates `@Foo` and `@Bar`
4 | class `Bob` is annotated with `@Foo` and `@Bar`
5 | the value of the `@Foo` annotation on `Bob` is `a`
6 | while the value of the `@Bar` annotation on `Bob` is `b`
7 | class `Joe` is annotated with `@FooBar`
8 | then the value of the `@Foo` annotation on `Joe` is `a`
9 | and the value of the `@Bar` annotation on `Joe` is also `a`

In the second case, the meta-annotation value was copied in both `@Foo` and `@Bar` annotations.

| It is a compile time error if the collected annotations define the same members with incompatible types. For example if on the previous example `@Foo` defined a value of type `String` but `@Bar` defined a value of type `int`.

It is however possible to customize the behavior of meta-annotations and describe how collected annotations are expanded.

##### Custom annotation processors

A custom annotation processor will let you choose how to expand a meta-annotation into collected annotations. The behaviour of the meta-annotation is, in this case, totally up to you. To do this, you must:

- create a meta-annotation processor, extending AnnotationCollectorTransform

- declare the processor to be used in the meta-annotation declaration

To illustrate this, we are going to explore how the meta-annotation `@CompileDynamic` is implemented.

`@CompileDynamic` is a meta-annotation that expands itself to `@CompileStatic(TypeCheckingMode.SKIP)`. The problem is that the default meta annotation processor doesn’t support enums and the annotation value `TypeCheckingMode.SKIP` is one.

The naive implementation here would not work:

    @CompileStatic(TypeCheckingMode.SKIP)
    @AnnotationCollector
    public @interface CompileDynamic {}

Instead, we will define it like this:

    @AnnotationCollector(processor = "org.codehaus.groovy.transform.CompileDynamicProcessor")
    public @interface CompileDynamic {
    }

The first thing you may notice is that our interface is no longer annotated with `@CompileStatic`. The reason for this is that we rely on the `processor` parameter instead, that references a class which will generate the annotation.

Here is how the custom processor is implemented:

CompileDynamicProcessor.groovy

    @CompileStatic                                                                  (1)
    class CompileDynamicProcessor extends AnnotationCollectorTransform {            (2)
        private static final ClassNode CS_NODE = ClassHelper.make(CompileStatic)    (3)
        private static final ClassNode TC_NODE = ClassHelper.make(TypeCheckingMode) (4)

        List<AnnotationNode> visit(AnnotationNode collector,                        (5)
                                   AnnotationNode aliasAnnotationUsage,             (6)
                                   AnnotatedNode aliasAnnotated,                    (7)
                                   SourceUnit source) {                             (8)
            def node = new AnnotationNode(CS_NODE)                                  (9)
            def enumRef = new PropertyExpression(
                new ClassExpression(TC_NODE), "SKIP")                               (10)
            node.addMember("value", enumRef)                                        (11)
            Collections.singletonList(node)                                         (12)
        }
    }

1 | our custom processor is written in Groovy, and for better compilation performance, we use static compilation
2 | the custom processor has to extend AnnotationCollectorTransform
3 | create a class node representing the `@CompileStatic` annotation type
4 | create a class node representing the `TypeCheckingMode` enum type
5 | `collector` is the `@AnnotationCollector` node found in the meta-annotation. Usually unused.
6 | `aliasAnnotationUsage` is the meta-annotation being expanded, here it is `@CompileDynamic`
7 | `aliasAnnotated` is the node being annotated with the meta-annotation
8 | `sourceUnit` is the `SourceUnit` being compiled
9 | we create a new annotation node for `@CompileStatic`
10 | we create an expression equivalent to `TypeCheckingMode.SKIP`
11 | we add that expression to the annotation node, which is now `@CompileStatic(TypeCheckingMode.SKIP)`
12 | return the generated annotation

In the example, the `visit` method is the only method which has to be overridden. It is meant to return a list of annotation nodes that will be added to the node annotated with the meta-annotation. In this example, we return a single one corresponding to `@CompileStatic(TypeCheckingMode.SKIP)`.

### 1.8. Inheritance

(TBD)

### 1.9. Generics

(TBD)

## 2. Traits

Traits are a structural construct of the language which allows:

- composition of behaviors

- runtime implementation of interfaces

- behavior overriding

- compatibility with static type checking/compilation

They can be seen as interfaces carrying both default implementations and state. A trait is defined using the `trait` keyword:

    trait FlyingAbility {                           (1)
            String fly() { "I'm flying!" }          (2)
    }

1 | declaration of a trait
2 | declaration of a method inside a trait

Then it can be used like a normal interface using the `implements` keyword:

    class Bird implements FlyingAbility {}          (1)
    def b = new Bird()                              (2)
    assert b.fly() == "I'm flying!"                 (3)

1 | Adds the trait `FlyingAbility` to the `Bird` class capabilities
2 | instantiate a new `Bird`
3 | the `Bird` class automatically gets the behavior of the `FlyingAbility` trait

Traits allow a wide range of capabilities, from simple composition to testing, which are described thoroughly in this section.

### 2.1. Methods

#### 2.1.1. Public methods

Declaring a method in a trait can be done like any regular method in a class:

    trait FlyingAbility {                           (1)
            String fly() { "I'm flying!" }          (2)
    }

1 | declaration of a trait
2 | declaration of a method inside a trait

#### 2.1.2. Abstract methods

In addition, traits may declare abstract methods too, which therefore need to be implemented in the class implementing the trait:

    trait Greetable {
        abstract String name()                              (1)
        String greeting() { "Hello, ${name()}!" }           (2)
    }

1 | implementing class will have to declare the `name` method
2 | can be mixed with a concrete method

Then the trait can be used like this:

    class Person implements Greetable {                     (1)
        String name() { 'Bob' }                             (2)
    }

    def p = new Person()
    assert p.greeting() == 'Hello, Bob!'                    (3)

1 | implement the trait `Greetable`
2 | since `name` was abstract, it is required to implement it
3 | then `greeting` can be called

#### 2.1.3. Private methods

Traits may also define private methods. Those methods will not appear in the trait contract interface:

    trait Greeter {
        private String greetingMessage() {                      (1)
            'Hello from a private method!'
        }
        String greet() {
            def m = greetingMessage()                           (2)
            println m
            m
        }
    }
    class GreetingMachine implements Greeter {}                 (3)
    def g = new GreetingMachine()
    assert g.greet() == "Hello from a private method!"          (4)
    try {
        assert g.greetingMessage()                              (5)
    } catch (MissingMethodException e) {
        println "greetingMessage is private in trait"
    }

1 | define a private method `greetingMessage` in the trait
2 | the public `greet` message calls `greetingMessage` by default
3 | create a class implementing the trait
4 | `greet` can be called
5 | but not `greetingMessage`

| Traits only support `public` and `private` methods. Neither `protected` nor `package private` scopes are supported.

### 2.2. The meaning of this

`this` represents the implementing instance. Think of a trait as a superclass. This means that when you write:

    trait Introspector {
        def whoAmI() { this }
    }
    class Foo implements Introspector {}
    def foo = new Foo()

then calling:

    foo.whoAmI()

will return the same instance:

    assert foo.whoAmI().is(foo)

### 2.3. Interfaces

Traits may implement interfaces, in which case the interfaces are declared using the `implements` keyword:

    interface Named {                                       (1)
        String name()
    }
    trait Greetable implements Named {                      (2)
        String greeting() { "Hello, ${name()}!" }
    }
    class Person implements Greetable {                     (3)
        String name() { 'Bob' }                             (4)
    }

    def p = new Person()
    assert p.greeting() == 'Hello, Bob!'                    (5)
    assert p instanceof Named                               (6)
    assert p instanceof Greetable                           (7)

1 | declaration of a normal interface
2 | add `Named` to the list of implemented interfaces
3 | declare a class that implements the `Greetable` trait
4 | implement the missing `name` method
5 | the `greeting` implementation comes from the trait
6 | make sure `Person` implements the `Named` interface
7 | make sure `Person` implements the `Greetable` trait

### 2.4. Properties

A trait may define properties, like in the following example:

    trait Named {
        String name                             (1)
    }
    class Person implements Named {}            (2)
    def p = new Person(name: 'Bob')             (3)
    assert p.name == 'Bob'                      (4)
    assert p.getName() == 'Bob'                 (5)

1 | declare a property `name` inside a trait
2 | declare a class which implements the trait
3 | the property is automatically made visible
4 | it can be accessed using the regular property accessor
5 | or using the regular getter syntax

### 2.5. Fields

#### 2.5.1. Private fields

Since traits allow the use of private methods, it can also be interesting to use private fields to store state. Traits will let you do that:

    trait Counter {
        private int count = 0                   (1)
        int count() { count += 1; count }       (2)
    }
    class Foo implements Counter {}             (3)
    def f = new Foo()
    assert f.count() == 1                       (4)
    assert f.count() == 2

1 | declare a private field `count` inside a trait
2 | declare a public method `count` that increments the counter and returns it
3 | declare a class that implements the `Counter` trait
4 | the `count` method can use the private field to keep state

| This is a major difference with Java 8 virtual extension methods. While virtual extension methods do not carry state, traits can. Moreover, traits in Groovy are supported starting with Java 6, because their implementation does not rely on virtual extension methods. This means that even if a trait can be seen from a Java class as a regular interface, that interface will not have default methods, only abstract ones.

#### 2.5.2. Public fields

Public fields work the same way as private fields, but in order to avoid the diamond problem, field names are remapped in the implementing class:

    trait Named {
        public String name                      (1)
    }
    class Person implements Named {}            (2)
    def p = new Person()                        (3)
    p.Named__name = 'Bob'                       (4)

1 | declare a public field inside the trait
2 | declare a class implementing the trait
3 | create an instance of that class
4 | the public field is available, but renamed

The name of the field depends on the fully qualified name of the trait. All dots (`.`) in package are replaced with an underscore (`_`), and the final name includes a double underscore. So if the type of the field is `String`, the name of the package is `my.package`, the name of the trait is `Foo` and the name of the field is `bar`, in the implementing class, the public field will appear as:

    String my_package_Foo__bar

| While traits support public fields, it is not recommended to use them and considered as a bad practice.

### 2.6. Composition of behaviors

Traits can be used to implement multiple inheritance in a controlled way. For example, we can have the following traits:

    trait FlyingAbility {                           (1)
            String fly() { "I'm flying!" }          (2)
    }
    trait SpeakingAbility {
        String speak() { "I'm speaking!" }
    }

And a class implementing both traits:

    class Duck implements FlyingAbility, SpeakingAbility {} (1)

    def d = new Duck()                                      (2)
    assert d.fly() == "I'm flying!"                         (3)
    assert d.speak() == "I'm speaking!"                     (4)

1 | the `Duck` class implements both `FlyingAbility` and `SpeakingAbility`
2 | creates a new instance of `Duck`
3 | we can call the method `fly` from `FlyingAbility`
4 | but also the method `speak` from `SpeakingAbility`

Traits encourage the reuse of capabilities among objects, and the creation of new classes by the composition of existing behavior.

### 2.7. Overriding default methods

Traits provide default implementations for methods, but it is possible to override them in the implementing class. For example, we can slightly change the example above, by having a duck which quacks:

    class Duck implements FlyingAbility, SpeakingAbility {
        String quack() { "Quack!" }                         (1)
        String speak() { quack() }                          (2)
    }

    def d = new Duck()
    assert d.fly() == "I'm flying!"                         (3)
    assert d.quack() == "Quack!"                            (4)
    assert d.speak() == "Quack!"                            (5)

1 | define a method specific to `Duck`, named `quack`
2 | override the default implementation of `speak` so that we use `quack` instead
3 | the duck is still flying, from the default implementation
4 | `quack` comes from the `Duck` class
5 | `speak` no longer uses the default implementation from `SpeakingAbility`

### 2.8. Extending traits

#### 2.8.1. Simple inheritance

Traits may extend another trait, in which case you must use the `extends` keyword:

    trait Named {
        String name                                     (1)
    }
    trait Polite extends Named {                        (2)
        String introduce() { "Hello, I am $name" }      (3)
    }
    class Person implements Polite {}
    def p = new Person(name: 'Alice')                   (4)
    assert p.introduce() == 'Hello, I am Alice'         (5)

1 | the `Named` trait defines a single `name` property
2 | the `Polite` trait extends the `Named` trait
3 | `Polite` adds a new method which has access to the `name` property of the super-trait
4 | the `name` property is visible from the `Person` class implementing `Polite`
5 | as is the `introduce` method

#### 2.8.2. Multiple inheritance

Alternatively, a trait may extend multiple traits. In that case, all super traits must be declared in the `implements` clause:

    trait WithId {                                      (1)
        Long id
    }
    trait WithName {                                    (2)
        String name
    }
    trait Identified implements WithId, WithName {}     (3)

1 | `WithId` trait defines the `id` property
2 | `WithName` trait defines the `name` property
3 | `Identified` is a trait which inherits both `WithId` and `WithName`

### 2.9. Duck typing and traits

#### 2.9.1. Dynamic code

Traits can call any dynamic code, like a normal Groovy class. This means that you can, in the body of a method, call methods which are supposed to exist in an implementing class, without having to explicitly declare them in an interface. This means that traits are fully compatible with duck typing:

    trait SpeakingDuck {
        String speak() { quack() }                      (1)
    }
    class Duck implements SpeakingDuck {
        String methodMissing(String name, args) {
            "${name.capitalize()}!"                     (2)
        }
    }
    def d = new Duck()
    assert d.speak() == 'Quack!'                        (3)

1 | the `SpeakingDuck` expects the `quack` method to be defined
2 | the `Duck` class does implement the method using methodMissing
3 | calling the `speak` method triggers a call to `quack` which is handled by `methodMissing`

#### 2.9.2. Dynamic methods in a trait

It is also possible for a trait to implement MOP methods like `methodMissing` or `propertyMissing`, in which case implementing classes will inherit the behavior from the trait, like in this example:

    trait DynamicObject {                               (1)
        private Map props = [:]
        def methodMissing(String name, args) {
            name.toUpperCase()
        }
        def propertyMissing(String prop) {
            props[prop]
        }
        void setProperty(String prop, Object value) {
            props[prop] = value
        }
    }

    class Dynamic implements DynamicObject {
        String existingProperty = 'ok'                  (2)
        String existingMethod() { 'ok' }                (3)
    }
    def d = new Dynamic()
    assert d.existingProperty == 'ok'                   (4)
    assert d.foo == null                                (5)
    d.foo = 'bar'                                       (6)
    assert d.foo == 'bar'                               (7)
    assert d.existingMethod() == 'ok'                   (8)
    assert d.someMethod() == 'SOMEMETHOD'               (9)

1 | create a trait implementing several MOP methods
2 | the `Dynamic` class defines a property
3 | the `Dynamic` class defines a method
4 | calling an existing property will call the method from `Dynamic`
5 | calling an non-existing property will call the method from the trait
6 | will call `setProperty` defined on the trait
7 | will call `getProperty` defined on the trait
8 | calling an existing method on `Dynamic`
9 | but calling a non existing method thanks to the trait `methodMissing`

### 2.10. Multiple inheritance conflicts

#### 2.10.1. Default conflict resolution

It is possible for a class to implement multiple traits. If some trait defines a method with the same signature as a method in another trait, we have a conflict:

    trait A {
        String exec() { 'A' }               (1)
    }
    trait B {
        String exec() { 'B' }               (2)
    }
    class C implements A,B {}               (3)

1 | trait `A` defines a method named `exec` returning a `String`
2 | trait `B` defines the very same method
3 | class `C` implements both traits

In this case, the default behavior is that methods from the last declared trait wins. Here, `B` is declared after `A` so the method from `B` will be picked up:

    def c = new C()
    assert c.exec() == 'B'

#### 2.10.2. User conflict resolution

In case this behavior is not the one you want, you can explicitly choose which method to call using the `Trait.super.foo` syntax. In the example above, we can force to choose the method from trait A, by writing this:

    class C implements A,B {
        String exec() { A.super.exec() }    (1)
    }
    def c = new C()
    assert c.exec() == 'A'                  (2)

1 | explicit call of `exec` from the trait `A`
2 | calls the version from `A` instead of using the default resolution, which would be the one from `B`

### 2.11. Runtime implementation of traits

#### 2.11.1. Implementing a trait at runtime

Groovy also supports implementing traits dynamically at runtime. It allows you to "decorate" an existing object using a trait. As an example, let’s start with this trait and the following class:

    trait Extra {
        String extra() { "I'm an extra method" }            (1)
    }
    class Something {                                       (2)
        String doSomething() { 'Something' }                (3)
    }

1 | the `Extra` trait defines an `extra` method
2 | the `Something` class does not implement the `Extra` trait
3 | `Something` only defines a method `doSomething`

Then if we do:

    def s = new Something()
    s.extra()

the call to extra would fail because `Something` is not implementing `Extra`. It is possible to do it at runtime with the following syntax:

    def s = new Something() as Extra                        (1)
    s.extra()                                               (2)
    s.doSomething()                                         (3)

1 | use of the as keyword to coerce an object to a trait at runtime
2 | then `extra` can be called on the object
3 | and `doSomething` is still callable

| When coercing an object to a trait, the result of the operation is not the same instance. It is guaranteed that the coerced object will implement both the trait and the interfaces that the original object implements, but the result will not be an instance of the original class.

#### 2.11.2. Implementing multiple traits at once

Should you need to implement several traits at once, you can use the `withTraits` method instead of the `as` keyword:

    trait A { void methodFromA() {} }
    trait B { void methodFromB() {} }

    class C {}

    def c = new C()
    c.methodFromA()                     (1)
    c.methodFromB()                     (2)
    def d = c.withTraits A, B           (3)
    d.methodFromA()                     (4)
    d.methodFromB()                     (5)

1 | call to `methodFromA` will fail because `C` doesn’t implement `A`
2 | call to `methodFromB` will fail because `C` doesn’t implement `B`
3 | `withTrait` will wrap `c` into something which implements `A` and `B`
4 | `methodFromA` will now pass because `d` implements `A`
5 | `methodFromB` will now pass because `d` also implements `B`

| When coercing an object to multiple traits, the result of the operation is not the same instance. It is guaranteed that the coerced object will implement both the traits and the interfaces that the original object implements, but the result will not be an instance of the original class.

### 2.12. Chaining behavior

Groovy supports the concept of stackable traits. The idea is to delegate from one trait to the other if the current trait is not capable of handling a message. To illustrate this, let’s imagine a message handler interface like this:

    interface MessageHandler {
        void on(String message, Map payload)
    }

Then you can compose a message handler by applying small behaviors. For example, let’s define a default handler in the form of a trait:

    trait DefaultHandler implements MessageHandler {
        void on(String message, Map payload) {
            println "Received $message with payload $payload"
        }
    }

Then any class can inherit the behavior of the default handler by implementing the trait:

    class SimpleHandler implements DefaultHandler {}

Now what if you want to log all messages, in addition to the default handler? One option is to write this:

    class SimpleHandlerWithLogging implements DefaultHandler {
        void on(String message, Map payload) {                                  (1)
            println "Seeing $message with payload $payload"                     (2)
            DefaultHandler.super.on(message, payload)                           (3)
        }
    }

1 | explicitly implement the `on` method
2 | perform logging
3 | continue by delegating to the `DefaultHandler` trait

This works but this approach has drawbacks:

1. the logging logic is bound to a "concrete" handler

2. we have an explicit reference to `DefaultHandler` in the `on` method, meaning that if we happen to change the trait that our class implements, code will be broken

As an alternative, we can write another trait which responsibility is limited to logging:

    trait LoggingHandler implements MessageHandler {                            (1)
        void on(String message, Map payload) {
            println "Seeing $message with payload $payload"                     (2)
            super.on(message, payload)                                          (3)
        }
    }

1 | the logging handler is itself a handler
2 | prints the message it receives
3 | then `super` makes it delegate the call to the next trait in the chain

Then our class can be rewritten as this:

    class HandlerWithLogger implements DefaultHandler, LoggingHandler {}
    def loggingHandler = new HandlerWithLogger()
    loggingHandler.on('test logging', [:])

which will print:

    Seeing test logging with payload [:]
    Received test logging with payload [:]

As the priority rules imply that `LoggerHandler` wins because it is declared last, then a call to `on` will use the implementation from `LoggingHandler`. But the latter has a call to `super`, which means the next trait in the chain. Here, the next trait is `DefaultHandler` so both will be called:

The interest of this approach becomes more evident if we add a third handler, which is responsible for handling messages that start with `say`:

    trait SayHandler implements MessageHandler {
        void on(String message, Map payload) {
            if (message.startsWith("say")) {                                    (1)
                println "I say ${message - 'say'}!"
            } else {
                super.on(message, payload)                                      (2)
            }
        }
    }

1 | a handler specific precondition
2 | if the precondition is not met, pass the message to the next handler in the chain

Then our final handler looks like this:

    class Handler implements DefaultHandler, SayHandler, LoggingHandler {}
    def h = new Handler()
    h.on('foo', [:])
    h.on('sayHello', [:])

Which means:

- messages will first go through the logging handler

- the logging handler calls `super` which will delegate to the next handler, which is the `SayHandler`

- if the message starts with `say`, then the handler consumes the message

- if not, the `say` handler delegates to the next handler in the chain

This approach is very powerful because it allows you to write handlers that do not know each other and yet let you combine them in the order you want. For example, if we execute the code, it will print:

    Seeing foo with payload [:]
    Received foo with payload [:]
    Seeing sayHello with payload [:]
    I say Hello!

but if we move the logging handler to be the second one in the chain, the output is different:

    class AlternateHandler implements DefaultHandler, LoggingHandler, SayHandler {}
    h = new AlternateHandler()
    h.on('foo', [:])
    h.on('sayHello', [:])

prints:

    Seeing foo with payload [:]
    Received foo with payload [:]
    I say Hello!

The reason is that now, since the `SayHandler` consumes the message without calling `super`, the logging handler is not called anymore.

#### 2.12.1. Semantics of super inside a trait

If a class implements multiple traits and a call to an unqualified `super` is found, then:

1. if the class implements another trait, the call delegates to the next trait in the chain

2. if there isn’t any trait left in the chain, `super` refers to the super class of the implementing class (this)

For example, it is possible to decorate final classes thanks to this behavior:

    trait Filtering {                                       (1)
        StringBuilder append(String str) {                  (2)
            def subst = str.replace('o','')                 (3)
            super.append(subst)                             (4)
        }
        String toString() { super.toString() }              (5)
    }
    def sb = new StringBuilder().withTraits Filtering       (6)
    sb.append('Groovy')
    assert sb.toString() == 'Grvy'                          (7)

1 | define a trait named `Filtering`, supposed to be applied on a `StringBuilder` at runtime
2 | redefine the `append` method
3 | remove all 'o’s from the string
4 | then delegate to `super`
5 | in case `toString` is called, delegate to `super.toString`
6 | runtime implementation of the `Filtering` trait on a `StringBuilder` instance
7 | the string which has been appended no longer contains the letter `o`

In this example, when `super.append` is encountered, there is no other trait implemented by the target object, so the method which is called is the original `append` method, that is to say the one from `StringBuilder`. The same trick is used for `toString`, so that the string representation of the proxy object which is generated delegates to the `toString` of the `StringBuilder` instance.

### 2.13. Advanced features

#### 2.13.1. SAM type coercion

If a trait defines a single abstract method, it is candidate for SAM (Single Abstract Method) type coercion. For example, imagine the following trait:

    trait Greeter {
        String greet() { "Hello $name" }        (1)
        abstract String getName()               (2)
    }

1 | the `greet` method is not abstract and calls the abstract method `getName`
2 | `getName` is an abstract method

Since `getName` is the single abstract method in the `Greeter` trait, you can write:

    Greeter greeter = { 'Alice' }               (1)

1 | the closure "becomes" the implementation of the `getName` single abstract method

or even:

    void greet(Greeter g) { println g.greet() } (1)
    greet { 'Alice' }                           (2)

1 | the greet method accepts the SAM type Greeter as parameter
2 | we can call it directly with a closure

#### 2.13.2. Differences with Java 8 default methods

In Java 8, interfaces can have default implementations of methods. If a class implements an interface and does not provide an implementation for a default method, then the implementation from the interface is chosen. Traits behave the same but with a major difference: the implementation from the trait is always used if the class declares the trait in its interface list and that it doesn’t provide an implementation.

This feature can be used to compose behaviors in an very precise way, in case you want to override the behavior of an already implemented method.

To illustrate the concept, let’s start with this simple example:

    import groovy.transform.CompileStatic
    import org.codehaus.groovy.control.CompilerConfiguration
    import org.codehaus.groovy.control.customizers.ASTTransformationCustomizer
    import org.codehaus.groovy.control.customizers.ImportCustomizer

    class SomeTest extends GroovyTestCase {
        def config
        def shell

        void setup() {
            config = new CompilerConfiguration()
            shell = new GroovyShell(config)
        }
        void testSomething() {
            assert shell.evaluate('1+1') == 2
        }
        void otherTest() { /* ... */ }
    }

In this example, we create a simple test case which uses two properties (config and shell) and uses those in multiple test methods. Now imagine that you want to test the same, but with another distinct compiler configuration. One option is to create a subclass of `SomeTest`:

    class AnotherTest extends SomeTest {
        void setup() {
            config = new CompilerConfiguration()
            config.addCompilationCustomizers( ... )
            shell = new GroovyShell(config)
        }
    }

It works, but what if you have actually multiple test classes, and that you want to test the new configuration for all those test classes? Then you would have to create a distinct subclass for each test class:

    class YetAnotherTest extends SomeTest {
        void setup() {
            config = new CompilerConfiguration()
            config.addCompilationCustomizers( ... )
            shell = new GroovyShell(config)
        }
    }

Then what you see is that the `setup` method of both tests is the same. The idea, then, is to create a trait:

    trait MyTestSupport {
        void setup() {
            config = new CompilerConfiguration()
            config.addCompilationCustomizers( new ASTTransformationCustomizer(CompileStatic) )
            shell = new GroovyShell(config)
        }
    }

Then use it in the subclasses:

    class AnotherTest extends SomeTest implements MyTestSupport {}
    class YetAnotherTest extends SomeTest2 implements MyTestSupport {}
    ...

It would allow us to dramatically reduce the boilerplate code, and reduces the risk of forgetting to change the setup code in case we decide to change it. Even if `setup` is already implemented in the super class, since the test class declares the trait in its interface list, the behavior will be borrowed from the trait implementation!

This feature is in particular useful when you don’t have access to the super class source code. It can be used to mock methods or force a particular implementation of a method in a subclass. It lets you refactor your code to keep the overridden logic in a single trait and inherit a new behavior just by implementing it. The alternative, of course, is to override the method in every place you would have used the new code.

| It’s worth noting that if you use runtime traits, the methods from the trait are always preferred to those of the proxied object:

    class Person {
        String name                                         (1)
    }
    trait Bob {
        String getName() { 'Bob' }                          (2)
    }

    def p = new Person(name: 'Alice')
    assert p.name == 'Alice'                                (3)
    def p2 = p as Bob                                       (4)
    assert p2.name == 'Bob'                                 (5)

1 | the `Person` class defines a `name` property which results in a `getName` method
2 | `Bob` is a trait which defines `getName` as returning `Bob`
3 | the default object will return Alice
4 | `p2` coerces `p` into `Bob` at runtime
5 | `getName` returns Bob because `getName` is taken from the trait

| Again, don’t forget that dynamic trait coercion returns a distinct object which only implements the original interfaces, as well as the traits.

### 2.14. Differences with mixins

There are several conceptual differences with mixins, as they are available in Groovy. Note that we are talking about runtime mixins, not the @Mixin annotation which is deprecated in favour of traits.

First of all, methods defined in a trait are visible in bytecode:

- internally, the trait is represented as an interface (without default methods) and several helper classes

- this means that an object implementing a trait effectively implements an interface

- those methods are visible from Java

- they are compatible with type checking and static compilation

Methods added through a mixin are, on the contrary, only visible at runtime:

    class A { String methodFromA() { 'A' } }        (1)
    class B { String methodFromB() { 'B' } }        (2)
    A.metaClass.mixin B                             (3)
    def o = new A()
    assert o.methodFromA() == 'A'                   (4)
    assert o.methodFromB() == 'B'                   (5)
    assert o instanceof A                           (6)
    assert !(o instanceof B)                        (7)

1 | class `A` defines `methodFromA`
2 | class `B` defines `methodFromB`
3 | mixin B into A
4 | we can call `methodFromA`
5 | we can also call `methodFromB`
6 | the object is an instance of `A`
7 | but it’s not an instanceof `B`

The last point is actually a very important and illustrates a place where mixins have an advantage over traits: the instances are not modified, so if you mixin some class into another, there isn’t a third class generated, and methods which respond to A will continue responding to A even if mixed in.

### 2.15. Static methods, properties and fields

| The following instructions are subject to caution. Static member support is work in progress and still experimental. The information below is valid for 2.4.12 only.

It is possible to define static methods in a trait, but it comes with numerous limitations:

- traits with static methods cannot be compiled statically or type checked. All static methods/properties/field are accessed dynamically (it’s a limitation from the JVM).

- the trait is interpreted as a template for the implementing class, which means that each implementing class will get its own static methods/properties/methods. So a static member declared on a trait doesn’t belong to the `Trait`, but to it’s implementing class.

Let’s start with a simple example:

    trait TestHelper {
        public static boolean CALLED = false        (1)
        static void init() {                        (2)
            CALLED = true                           (3)
        }
    }
    class Foo implements TestHelper {}
    Foo.init()                                      (4)
    assert Foo.TestHelper__CALLED                   (5)

1 | the static field is declared in the trait
2 | a static method is also declared in the trait
3 | the static field is updated within the trait
4 | a static method init is made available to the implementing class
5 | the static field is remapped to avoid the diamond issue

As usual, it is not recommended to use public fields. Anyway, should you want this, you must understand that the following code would fail:

    Foo.CALLED = true

because there is no static field CALLED defined on the trait itself. Likewise, if you have two distinct implementing classes, each one gets a distinct static field:

    class Bar implements TestHelper {}              (1)
    class Baz implements TestHelper {}              (2)
    Bar.init()                                      (3)
    assert Bar.TestHelper__CALLED                   (4)
    assert !Baz.TestHelper__CALLED                  (5)

1 | class `Bar` implements the trait
2 | class `Baz` also implements the trait
3 | `init` is only called on `Bar`
4 | the static field `CALLED` on `Bar` is updated
5 | but the static field `CALLED` on `Baz` is not, because it is distinct

### 2.16. Inheritance of state gotchas

We have seen that traits are stateful. It is possible for a trait to define fields or properties, but when a class implements a trait, it gets those fields/properties on a per-trait basis. So consider the following example:

    trait IntCouple {
        int x = 1
        int y = 2
        int sum() { x+y }
    }

The trait defines two properties, `x` and `y`, as well as a `sum` method. Now let’s create a class which implements the trait:

    class BaseElem implements IntCouple {
        int f() { sum() }
    }
    def base = new BaseElem()
    assert base.f() == 3

The result of calling `f` is `3`, because `f` delegates to `sum` in the trait, which has state. But what if we write this instead?

    class Elem implements IntCouple {
        int x = 3                                       (1)
        int y = 4                                       (2)
        int f() { sum() }                               (3)
    }
    def elem = new Elem()

1 | Override property `x`
2 | Override property `y`
3 | Call `sum` from trait

If you call `elem.f()`, what is the expected output? Actually it is:

    assert elem.f() == 3

The reason is that the `sum` method accesses the fields of the trait. So it is using the `x` and `y` values defined in the trait. If you want to use the values from the implementing class, then you need to dereference fields by using getters and setters, like in this last example:

    trait IntCouple {
        int x = 1
        int y = 2
        int sum() { getX()+getY() }
    }

    class Elem implements IntCouple {
        int x = 3
        int y = 4
        int f() { sum() }
    }
    def elem = new Elem()
    assert elem.f() == 7

### 2.17. Self types

#### 2.17.1. Type constraints on traits

Sometimes you will want to write a trait that can only be applied to some type. For example, you may want to apply a trait on a class that extends another class which is beyond your control, and still be able to call those methods. To illustrate this, let’s start with this example:

    class CommunicationService {
        static void sendMessage(String from, String to, String message) {       (1)
            println "$from sent [$message] to $to"
        }
    }

    class Device { String id }                                                  (2)

    trait Communicating {
        void sendMessage(Device to, String message) {
            CommunicationService.sendMessage(id, to.id, message)                (3)
        }
    }

    class MyDevice extends Device implements Communicating {}                   (4)

    def bob = new MyDevice(id:'Bob')
    def alice = new MyDevice(id:'Alice')
    bob.sendMessage(alice,'secret')                                             (5)

1 | A `Service` class, beyond your control (in a library, …​) defines a `sendMessage` method
2 | A `Device` class, beyond your control (in a library, …​)
3 | Defines a communicating trait for devices that can call the service
4 | Defines `MyDevice` as a communicating device
5 | The method from the trait is called, and `id` is resolved

It is clear, here, that the `Communicating` trait can only apply to `Device`. However, there’s no explicit contract to tell that, because traits cannot extend classes. However, the code compiles and runs perfectly fine, because `id` in the trait method will be resolved dynamically. The problem is that there is nothing that prevents the trait from being applied to any class which is not a `Device`. Any class which has an `id` would work, while any class that does not have an `id` property would cause a runtime error.

The problem is even more complex if you want to enable type checking or apply `@CompileStatic` on the trait: because the trait knows nothing about itself being a `Device`, the type checker will complain saying that it does not find the `id` property.

One possibility is to explicitly add a `getId` method in the trait, but it would not solve all issues. What if a method requires `this` as a parameter, and actually requires it to be a `Device`?

    class SecurityService {
        static void check(Device d) { if (d.id==null) throw new SecurityException() }
    }

If you want to be able to call this in the trait, then you will explicitly need to cast `this` into a `Device`. This can quickly become unreadable with explicit casts to this everywhere.

#### 2.17.2. The @SelfType annotation

In order to make this contract explicit, and to make the type checker aware of the type of itself, Groovy provides a `@SelfType` annotation that will:

- let you declare the types that a class that implements this trait must inherit or implement

- throw a compile time error if those type constraints are not satisfied

So in our previous example, we can fix the trait using the `@groovy.transform.SelfType` annotation:

    @SelfType(Device)
    @CompileStatic
    trait Communicating {
        void sendMessage(Device to, String message) {
            SecurityService.check(this)
            CommunicationService.sendMessage(id, to.id, message)
        }
    }

Now if you try to implement this trait on a class that is not a device, a compile-time error will occur:

    class MyDevice implements Communicating {} // forgot to extend Device

The error will be:

    class 'MyDevice' implements trait 'Communicating' but does not extend self type class 'Device'

In conclusion, self types are a powerful way of declaring constraints on traits without having to declare the contract directly in the trait or having to use casts everywhere, maintaining separation of concerns as tight as it should be.

### 2.18. Limitations

#### 2.18.1. Compatibility with AST transformations

| Traits are not officially compatible with AST transformations. Some of them, like `@CompileStatic` will be applied on the trait itself (not on implementing classes), while others will apply on both the implementing class and the trait. There is absolutely no guarantee that an AST transformation will run on a trait as it does on a regular class, so use it at your own risk!

#### 2.18.2. Prefix and postfix operations

Within traits, prefix and postfix operations are not allowed if they update a field of the trait:

    trait Counting {
        int x
        void inc() {
            x++                             (1)
        }
        void dec() {
            --x                             (2)
        }
    }
    class Counter implements Counting {}
    def c = new Counter()
    c.inc()

1 | `x` is defined within the trait, postfix increment is not allowed
2 | `x` is defined within the trait, prefix decrement is not allowed

A workaround is to use the `+=` operator instead.