Groovy is a dynamic programming language that runs on the JVM. This means it is compiled to Java bytecode and then executed on the Java Virtual Machine. You can read more about its features and download Groovy from the official website.
After unpacking or installing Groovy, you can use the Groovy console (located at $GROOVY_HOME/bin/groovyConsole) for writing and experimenting with Groovy scripts.
Groovy aims to provide greater productivity compared to Java (and other mainstream object-oriented languages), and it excels at this.
A simple “hello world” in Groovy (no main method or anything required):
println "Hello programmers!"
Almost all Java code is valid Groovy code, allowing for seamless mixing of Java and Groovy within your projects.
java.io, java.math, java.util, java.net, groovy.lang, and groovy.util. This is because a significant percentage of Java classes utilize these packages.In Groovy conditional statements, both null values and empty collections evaluate to false. For example:
Map map = new HashMap();
// In Java you must do following for example:
if (map != null && map.size() > 0) {
// ...
}
// In Groovy this is enough:
if (!map) {
// ...
}
Similarly, an empty string also evaluates to false.
public is the default visibility for classes, fields, constants, and methods in Groovy, contrasting with Java’s package-private default visibility.checked exceptions, Groovy does not require this. While this can lead to cleaner code and remove a sense of false security, the decision of whether to catch these exceptions depends on your specific problem domain.Groovy offers several features that enhance productivity by removing unnecessary syntax from Java equivalents and replacing it with smart defaults.
println command or closures (which will be discussed in the second part of this tutorial).return statement: In non-void methods, the return statement is often optional. Groovy automatically returns the result of the last evaluated expression. For example:
private boolean something() {
"a" == "b"
}
// Will return "false".
However, it is often advisable to use the return statement explicitly for better code readability.
Groovy provides field access notation for Java bean properties (or fields). It automatically generates getters and setters for private fields behind the scenes. To leverage this, simply leave the default visibility on your fields. For example:
Date date = new Date()
// You can access all Java bean properties
// using their field name.
println date.time
// prints some long number...
class MyClass {
// Default visibility for fields is private,
// but Groovy generates setters and getters
// behind the scenes.
String firstName
String lastName
// Compiles without problem.
public static void access() {
MyClass myClass = new MyClass()
myClass.firstName = "John"
}
}
In Groovy, you can instantiate beans using a list of named arguments. This powerful feature allows you to effectively treat maps as objects that can be passed around. For example:
// Here we create a new SimpleDateFormat and set default
// values to some of its properties.
SimpleDateFormat format =
new SimpleDateFormat(lenient: false, numberFormat: "ddMMyyyy")
Groovy introduces several new operators not found in Java:
Null-safe operator (?.): This operator provides null-safe object navigation, similar to a null-checked dot (.) operator. For example:
// In Java, if you have an object named "obj" that
// encapsulates an object named "field", you must do
// the following to check if "field" is null:
if (obj != null && obj.field != null) {
// ...
}
// In Groovy, you can use the null-safe operator
// for the same check and get the same result:
if (obj?.value != null) {
// ...
}
This operator helps avoid java.lang.NullPointerExceptions, making code safer and cleaner.
Elvis operator (?:): This is a shortened version of Java’s ternary (if-then-else) operator. It’s playfully called the ‘Elvis Operator’ due to its resemblance to Elvis Presley’s trademark hair! For example:
// When using the ternary operator in Java,
// you normally code something like this:
Date date = (row.getDateFromDatabase() != null) ?
row.getDateFromDatabase() : new Date();
// In Groovy, you can get the same result by using the Elvis operator:
Date date = row.getDateFromDatabase ?: new Date()
// It automatically checks for null values.
Spread-dot operator (*.): This operator calls a method on every item within a collection. For example:
// This will create a new List with all employees' salaries.
List employees = allEmployees*.getSalary()
This eliminates the need to loop through a list simply to extract single properties into another list, offering a more concise and Groovy way of handling collections!
Spaceship operator (<=>): This operator is particularly useful when implementing the Comparable interface. In Java, correctly implementing the int compare method (returning negative if the first value is smaller, positive if bigger, or zero otherwise) requires careful attention to the API specification. Groovy simplifies this with the spaceship operator, which performs exactly this comparison:
// This method will properly compare
// (in correspondence to Java API) two integers.
public int compare(int number1, int number2) {
return number1 <=> number2
}
Equals operator (==): In Groovy, == is equivalent to Java’s equals() method. It is null-safe, meaning it will not throw a NullPointerException when dealing with null values. It’s important to note that if an object implements the Comparable interface, == will use the compareTo() method rather than equals(). For identity comparison, you can use the is() method.
In Groovy, you have access to all primitive Java types, along with some Groovy-specific types. Additionally, you can benefit from Groovy’s syntactic sugar when working with basic types.
Numbers: Groovy treats primitive types as objects, allowing you to call methods on them. For example:
// This is perfectly legal in Groovy
222222.abs()
// Although not so useful in this particular
// example.
Groovy uses BigDecimal for floating-point calculations. While potentially slower than long and double, it eliminates the common quirks and precision issues associated with float and double.
Strings: While Java Strings can be used, Groovy offers several advantages, most notably embedded Groovy expressions within strings. Anything enclosed within ${} will be evaluated and interpolated into the string.
int amount = 255
Date today = new Date()
String out = "Something, something, ${today} is amount: ${amount}"
println out
// This will print the following:
// Something, something, Sun Sep 25 18:34:52 CEST 2011 is amount: 255
This eliminates the need for clumsy Java string concatenation, improving readability and conciseness.
Multiline strings (""") are another Groovy extension. They allow you to easily create string literals that span multiple lines and include line breaks.
// So this is how you used to do this in Java:
String bla1 = "Something, something,..." + "\n\n" +
" Another thing...."
// Same code in Groovy:
String bla1 = """Something, something,...
Another thing...."""
This avoids the need for + "\n" + concatenation for multiline strings.
as operator: This is a powerful casting operator (similar to Java’s (String) someObject) but with extended capabilities. It can cast Strings to Numbers (and vice-versa), Lists to Arrays (and vice-versa), Sets to Lists or Arrays (and vice-versa), and even Strings to Lists (and vice-versa). For example:
int number = ("12345" as int) - 1
println number
// 12344
boolean isEqual = 123 as String == "123"
// true
println isEqual
List abcList = "abc" as List
println abcList
// [a, b, c]
These features are precisely what one would expect from a dynamic scripting language and are quite powerful.
Groovy integrates list and map concepts more naturally into its type system.
Lists and Maps: Groovy offers a more natural syntax for defining Lists and Maps compared to Java. It uses comma-separated sequences of items enclosed in square brackets for definition. Let’s look at some examples:
// In Java
List cars1 = new ArrayList();
cars1.add("Citroen");
cars1.add("Audi");
// [Citroen, Audi]
// In Groovy
List cars2 = ["Citroen", "Audi"]
// [Citroen, Audi]
// Maps in Groovy (you know the Java part ;) )
Map map1 = ["amount" : 15, "size" : 5]
// Empty list
List l = []
// Empty map
Map m = [:]
// Get element from List
String car = cars2[1]
// Get element from Map
String amount = map1["amount"]
// Add item to list (somewhat different)
cars2 << "Ferrari"
// [Citroen, Audi, Ferrari]
// Add item to map
map1["mass"] = 55
Ranges: Ranges are related to lists and represent a combination of a lower and upper bound. In the case of an integer range, this includes all numbers between the two bounds (inclusive). For example:
List computerComponents = ["Monitor", "CPU", "GPU", "Mem", "HDD"]
// [Monitor, CPU, GPU, Mem, HDD]
// Here you define only a subset of the previous list.
List subComponents = computerComponents[1..2]
// [CPU, GPU]
Groovy provides first-class support for regular expressions at the language level, introducing new literals, operators for matching, and a concise syntax for extracting groups. While regular expressions are a complex topic on their own and beyond the full scope of this introductory article, it’s important to note that Groovy uses forward slashes (not backslashes, like Java) for defining regular expressions. It also introduces two new operators for matching:
=~: This operator checks if the pattern on the right side can be found anywhere within the string on the left side. It returns a Matcher object, which evaluates to true in a boolean context if a match is found.==~: This operator checks if the string on the left side exactly matches the entire pattern on the right side. It returns true for an exact match, false otherwise.Example:
println "999999" ==~ /\d+/
// true
println "mercury9" ==~ /\d+/
// false
println "mercury" ==~ /\w+/
// true
Groovy is not missing much, but some features not present (or different) from Java include:
for loop (specifically, the lack of a comma operator for multiple initializations/increments).do...while loops.