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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

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Partner – Moderne – NPI EA (cat=Spring Boot)
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1. Overview

In Groovy, we can work with lists just like we do in Java. But, with its support for extension methods, it ships with quite a bit more.

In this tutorial, we’ll look at Groovy’s take on mutating, filtering and sorting lists.

2. Creating Groovy Lists

Groovy provides certain interesting shortcuts when working with collections, which makes use of its support for dynamic typing and literal syntax.

Let’s begin by creating a list with some values using the shorthand syntax:

def list = [1,2,3]

Similarly, we can create an empty list:

def emptyList = []

By default, Groovy creates an instance of java.util.ArrayList.

However, we can also specify the type of list to create:

def linkedList = [1,2,3] as LinkedList
ArrayList arrList = [1,2,3]

Next, lists can be used to create other lists by using a constructor argument:

def copyList = new ArrayList(arrList)

We can also do this by cloning:

def cloneList = arrList.clone()

Note that cloning creates a shallow copy of the list.

Groovy uses the “==” operator to compare the elements in two lists for equality.

Continuing with the previous example, on comparing cloneList with arrlist, the result is true:

assertTrue(cloneList == arrList)

Now let’s look at how to perform some common operations on lists.

3. Retrieving Items From a List

We can get an item from a list using the literal syntax:

def list = ["Hello", "World"]
assertTrue(list[1] == "World")

Or we can use the get() and getAt() methods:

assertTrue(list.get(1) == "World")
assertTrue(list.getAt(1) == "World")

We can also get items from a list using both positive and negative indices.

When a negative index is used, the list is read from right to left:

assertTrue(list[-1] == "World")
assertTrue(list.getAt(-2) == "Hello")

Note that the get() method doesn’t support negative indexes.

4. Adding Items to a List

There are multiple shorthand ways for adding items to a list.

Let’s define an empty list and add a few items to it:

def list = []

list << 1
list.add("Apple")
assertTrue(list == [1, "Apple"])

Next, we can also specify the index to place the item at.

Also, if the length of the list is less than the index specified, Groovy adds as many null values as the difference:

list[2] = "Box"
list[4] = true
assertTrue(list == [1, "Apple", "Box", null, true])

Lastly, we can use the “+=” operator to add new items to the list.

Compared to the other approaches, this operator creates a new list object and assigns it to the variable list:

def list2 = [1,2]
list += list2
list += 12        
assertTrue(list == [1, 6.0, "Apple", "Box", null, true, 1, 2, 12])

5. Updating Items in a List

We can update items in a list using the literal syntax or the set() method:

def list =[1, "Apple", 80, "App"]
list[1] = "Box"
list.set(2,90)
assertTrue(list == [1, "Box", 90,  "App"])

In this example, the items at indexes 1 and 2 are updated with new values.

6. Removing Items From a List

We can remove an item at a particular index using the remove() method:

def list = [1,2,3,4,5,5,6,6,7]
list.remove(3)
assertTrue(list == [1,2,3,5,5,6,6,7])

We can also remove an element by using the removeElement() method.

This removes the first occurrence of the element from the list:

list.removeElement(5)
assertTrue(list == [1,2,3,5,6,6,7])

Additionally, we can use the minus operator to remove all occurrences of an element from the list.

This operator, however, does not mutate the underlying list — it returns a new list:

assertTrue(list - 6 == [1,2,3,5,7])

7. Iterating on a List

Groovy has added new methods to the existing Java Collections API.

These methods simplify operations such as filtering, searching, sorting, aggregating, etc. by encapsulating the boilerplate code. They also they support a wide range of inputs including closures and output data structures.

Let’s start by looking at the two methods for iterating over a list.

The each() method accepts a closure and is very similar to the foreach() method in Java.

Groovy passes an implicit parameter it that corresponds to the current element in each iteration:

def list = [1,"App",3,4]
list.each {println it * 2}

The other method, eachWithIndex(), provides the current index value in addition to the current element:

list.eachWithIndex{ it, i -> println "$i : $it" }

8. Filtering

Filtering is another operation that is frequently performed on lists, and Groovy provides many different methods to choose from.

Let’s define a list to operate on:

def filterList = [2,1,3,4,5,6,76]

To find the first object that matches a condition, we can use find:

assertTrue(filterList.find {it > 3} == 4)

To find all objects that match a condition, we can use findAll:

assertTrue(filterList.findAll {it > 3} == [4,5,6,76])

Let’s look at another example.

Here we want a list of all elements that are numbers:

assertTrue(filterList.findAll {it instanceof Number} == [2,1,3,4,5,6,76])

Alternatively, we can use the grep method to do the same thing:

assertTrue(filterList.grep( Number ) == [2,1,3,4,5,6,76])

The difference between grep and find methods is that grep can accept an Object or a Closure as an argument.

So, it allows further reducing the condition statement to the bare minimum:

assertTrue(filterList.grep {it > 6} == [76])

Additionally, grep uses Object#isCase(java.lang.Object) to evaluate the condition on each element of the list.

Sometimes, we may only be interested in the unique items in a list. There are two overloaded methods that we can use for this purpose.

The unique() method optionally accepts a closure and keeps in the underlying list only elements that match the closure conditions, while discarding others.

It uses natural ordering by default to determine uniqueness:

def uniqueList = [1,3,3,4]
uniqueList.unique()
assertTrue(uniqueList == [1,3,4])

Alternatively, if the requirement is not to mutate the underlying list, we can use the toUnique() method:

assertTrue(["A", "B", "Ba", "Bat", "Cat"].toUnique {it.size()} == ["A", "Ba", "Bat"])

If we want to check that some or all items in a list satisfy a certain condition, we can use the every() and any() methods.

The every() method evaluates the condition in the closure against every element in the list.

Then it only returns true if all elements in the list satisfy the condition:

def conditionList = [2,1,3,4,5,6,76]
assertFalse(conditionList.every {it < 6})

The any() method, on the other hand, returns true if any element in the list satisfies the condition:

assertTrue(conditionList.any {it % 2 == 0})

9. Sorting

By default, Groovy sorts the items in a list based on their natural ordering:

assertTrue([1,2,1,0].sort() == [0,1,1,2])

But we can also pass a Comparator with custom sorting logic:

Comparator mc = {a,b -> a == b? 0: a < b? 1 : -1}
def list = [1,2,1,0]
list.sort(mc)
assertTrue(list == [2,1,1,0])

Additionally, we can use the min() or max() methods to find the maximum or minimum value without explicitly calling sort():

def strList = ["na", "ppp", "as"]
assertTrue(strList.max() == "ppp")
Comparator minc = {a,b -> a == b? 0: a < b? -1 : 1}
def numberList = [3, 2, 0, 7]
assertTrue(numberList.min(minc) == 0)

10. Collecting

Sometimes, we may want to modify the items in a list and return another list with updated values.

We can do this using the collect() method:

def list = ["Kay","Henry","Justin","Tom"]
assertTrue(list.collect{"Hi " + it} == ["Hi Kay","Hi Henry","Hi Justin","Hi Tom"])

11. Joining

At times, we may need to join the items in a list.

To do that, we can use the join() method:

assertTrue(["One","Two","Three"].join(",") == "One,Two,Three")

12. Conclusion

In this article, we covered a few of the extensions Groovy adds to the Java Collections API.

We started off by looking at the literal syntax and then its usage in creating, updating, removing and retrieving items in a list.

Finally, we looked at Groovy’s support for iterating, filtering, searching, collecting, joining and sorting lists.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
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eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Persistence – NPI EA (cat=Persistence)
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Course – LS – NPI EA (cat=REST)

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Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

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