Azure Container Apps is a fully managed serverless container
service that enables you to build and deploy modern,
cloud-native Java applications and microservices at scale. It
offers a simplified developer experience while providing the
flexibility and portability of containers.
Of course, Azure Container Apps has really solid support for our
ecosystem, from a number of build options, managed Java components,
native metrics, dynamic logger, and quite a bit more.
To learn more about Java features on Azure Container Apps, visit
the documentation page.
You can also ask questions and leave feedback on the Azure
Container Apps GitHub page.
Partner – Microsoft – NPI EA (cat= Spring Boot)
Azure Container Apps is a fully managed serverless container
service that enables you to build and deploy modern,
cloud-native Java applications and microservices at scale. It
offers a simplified developer experience while providing the
flexibility and portability of containers.
Of course, Azure Container Apps has really solid support for our
ecosystem, from a number of build options, managed Java components,
native metrics, dynamic logger, and quite a bit more.
To learn more about Java features on Azure Container Apps, you
can get started over on the documentation page.
And, you can also ask questions and leave feedback on the Azure
Container Apps GitHub page.
Partner – Orkes – NPI EA (cat=Spring)
Modern software architecture is often broken. Slow delivery
leads to missed opportunities, innovation is stalled due to
architectural complexities, and engineering resources are
exceedingly expensive.
Orkes is the leading workflow orchestration platform
built to enable teams to transform the way they develop, connect,
and deploy applications, microservices, AI agents, and more.
With Orkes Conductor managed through Orkes Cloud, developers can
focus on building mission critical applications without worrying
about infrastructure maintenance to meet goals and, simply put,
taking new products live faster and reducing total cost of
ownership.
Modern software architecture is often broken. Slow delivery
leads to missed opportunities, innovation is stalled due to
architectural complexities, and engineering resources are
exceedingly expensive.
Orkes is the leading workflow orchestration platform
built to enable teams to transform the way they develop, connect,
and deploy applications, microservices, AI agents, and more.
With Orkes Conductor managed through Orkes Cloud, developers can
focus on building mission critical applications without worrying
about infrastructure maintenance to meet goals and, simply put,
taking new products live faster and reducing total cost of
ownership.
eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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:
Spring 5 added support for reactive programming with the Spring
WebFlux module, which has been improved upon ever since. Get
started with the Reactor project basics and reactive programming
in Spring Boot:
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:
Yes, Spring Security can be complex, from the more advanced
functionality within the Core to the deep OAuth support in the
framework.
I built the security material as two full courses - Core and
OAuth, to get practical with these more complex scenarios. We
explore when and how to use each feature and code through it on
the backing project.
Traditional keyword-based search methods rely on exact word
matches, often leading to irrelevant results depending on
the user's phrasing.
By comparison, using a vector store allows us to represent the
data as vector embeddings, based on meaningful relationships. We
can then compare the meaning of the user’s query to the stored
content, and retrieve more relevant, context-aware
results.
Explore how to build an intelligent chatbot using MongoDB
Atlas, Langchain4j and Spring Boot:
Accessibility testing is a crucial aspect to ensure that
your application is usable for everyone and meets
accessibility standards that are required in many countries.
By automating these tests, teams can quickly detect
issues related to screen reader compatibility, keyboard
navigation, color contrast, and other aspects that could pose a
barrier to using the software effectively for people with
disabilities.
Learn how to automate accessibility testing with Selenium and
the LambdaTest cloud-based testing platform that lets
developers and testers perform accessibility automation on over
3000+ real environments:
for loops and Iterators, both provide mechanisms to traverse through collections of elements. While both serve the purpose of iterating over collections, they differ in their syntax, functionality, and applicability.
In this tutorial, we’ll explore a detailed comparison between for loops and iterators, highlighting their key distinctions in several aspects.
We’ll use the following list of strings to demonstrate:
In this section, we’ll explore the forward traversal methods for both for loops and iterators.
2.1. With for Loops
Traditional for loops in Java are designed for forward iteration. They start from an initial index and move toward the end of the collection, processing each element in sequential order.
Let’s iterate forward using a for loop:
StringBuilder stringBuilder = new StringBuilder();
for (int i = 0; i < names.size(); i++) {
stringBuilder.append(names.get(i));
}
assertEquals("AliceBobCharlie", stringBuilder.toString());
2.2. With Iterators
Iterators, by default, offer forward-only traversal. The hasNext() method checks for the existence of the next element, and the next() method moves the iterator to the next position in the collection:
StringBuilder stringBuilder = new StringBuilder();
Iterator<String> iterator = names.iterator();
while (iterator.hasNext()) {
stringBuilder.append(iterator.next());
}
assertEquals("AliceBobCharlie", stringBuilder.toString());
3. Backward Traversal
In this section, we’ll explore the backward traversal methods for both for loops and iterators.
3.1. With for Loops
While it’s possible to simulate backward traversal by manipulating the for loop variable, it isn’t as straightforward as forward iteration. Let’s iterate backward using a for loop:
StringBuilder stringBuilder = new StringBuilder();
for (int i = names.size() - 1; i >= 0; i--) {
stringBuilder.append(names.get(i));
}
assertEquals("CharlieBobAlice", stringBuilder.toString());
3.2. With Iterators
However, if a collection implements the List interface and provides a ListIterator, we can achieve backward iteration using the hasPrevious() and previous() methods:
StringBuilder stringBuilder = new StringBuilder();
ListIterator<String> listIterator = names.listIterator(names.size());
while (listIterator.hasPrevious()) {
stringBuilder.append(listIterator.previous());
}
assertEquals("CharlieBobAlice", stringBuilder.toString());
4. Removal of Elements
In this section, we’ll explore the remove methods in both for loops and iterators.
4.1. With for Loops
for loops aren’t directly compatible with removing elements from the collection being traversed. Modifying the collection during a for loop iteration can lead to unpredictable behavior as the size of the collection is modified. This often results in ConcurrentModificationException or incorrect indices.
Let’s test out the remove() method during looping:
assertThrows(ConcurrentModificationException.class, () -> {
for (String name : names) {
names.remove("Bob");
}
});
4.2. With Iterators
Iterators, on the other hand, provide a safe and reliable way to remove elements during iteration using the remove() method.Iterator internally maintains a cursor or a position within the collection. When we call remove(), it knows exactly which element to remove based on its internal state. This prevents concurrent modification issues and ensures the integrity of the iteration process.
Let’s test out the remove() method with Iterator:
Iterator<String> iterator = names.iterator();
while (iterator.hasNext()) {
String name = iterator.next();
if (name.equals("Bob")) {
iterator.remove();
}
}
List<String> expected = Arrays.asList("Alice", "Charlie");
assertIterableEquals(expected, names);
5. Flexibility
In this section, we’ll explore the flexibility to alter elements during iteration in both for loops and iterators.
5.1. With for Loops
for loops provide direct access to the elements of a collection based on their indices. This offers flexibility in terms of modification and access, as we have explicit control over the index and can easily perform insertions and modification operations:
for (int i = 0; i < names.size(); i++) {
names.set(i, names.get(i).toLowerCase());
}
List<String> expected = Arrays.asList("alice","bob", "charlie");
assertIterableEquals(expected, names);
5.2. With Iterators
Iterators, while excellent for traversal and removal, don’t provide direct access to index-based operations. The Iterator interface focuses on forward-only traversal and removal, limiting the ability to directly insert or modify elements. If we need to add or modify elements using Iterator, we may want to consider ListIterator.
6. Error-proneness
for loops are more prone to errors due to their reliance on index-based access. Incorrect index values or modifications to the collection during iteration can lead to various exceptions and unexpected behavior. For example, for loop can lead to IndexOutOfBoundException if the index value is outside the bounds of the collection. This can happen if the index variable isn’t properly initialized or if the collection size is modified during iteration.
On the other hand, Iterator enforces hasNext() checks before accessing elements, preventing null pointer exceptions. This ensures that the Iterator points to a valid element before attempting to access it.
7. Code Readability
for loops are generally considered more readable and concise for simple iterations over collections due to their straightforward syntax. The loop structure clearly conveys the iteration logic, with the index variable explicitly indicating the current position in the collection. This makes it easy to understand the code and follow the flow of the iteration.
While Iterator offers benefits for complex scenarios, it can introduce some readability challenges for simple iterations. Iterators require method calls like hasNext() or next() to iterate through the collection. These method calls can introduce additional complexity and make the iteration logic less clear compared to the concise syntax of a for loop.
8. Choosing Between Iterators and for Loops
In summary, for loops are suitable for simple iteration, especially when direct access to indices is beneficial.
Iterators, on the other hand, are powerful when dealing with safe removal, forward-only traversal, and when working with various collection types.
The following table shows the main differences between the for loop and Iterator:
Feature
for Loop
Iterator
Traversal Direction
Forward and backward using indexing
Forward (default), bidirectional with ListIterator
Element Removal
Not directly compatible, can lead to errors
Safe and reliable using remove() method
Flexibility – Insert, Access, Modify
Direct index-based access
Limited to forward-only traversal and removal; ListIterator for modification while iterating
Error-proneness
More prone to errors due to index-based access and potential modifications
In this article, we discussed the difference between for loops and an Iterators.
for loops provides a straightforward approach for simple forward traversal, while Iterators are powerful when dealing with safe removal and forward-only traversal.
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.
Baeldung Pro – NPI EA (cat = Baeldung)
Baeldung Pro comes with both absolutely No-Ads as well as
finally with Dark Mode, for a clean learning experience:
Once the early-adopter seats are all used, the price will go
up and stay at $33/year.
Partner – Microsoft – NPI EA (cat = Baeldung)
Azure Container Apps is a fully managed serverless container
service that enables you to build and deploy modern,
cloud-native Java applications and microservices at scale. It
offers a simplified developer experience while providing the
flexibility and portability of containers.
Of course, Azure Container Apps has really solid support for our
ecosystem, from a number of build options, managed Java components,
native metrics, dynamic logger, and quite a bit more.
To learn more about Java features on Azure Container Apps, visit
the documentation page.
You can also ask questions and leave feedback on the Azure
Container Apps GitHub page.
Partner – Microsoft – NPI EA (cat = Spring Boot)
Azure Container Apps is a fully managed serverless container
service that enables you to build and deploy modern,
cloud-native Java applications and microservices at scale. It
offers a simplified developer experience while providing the
flexibility and portability of containers.
Of course, Azure Container Apps has really solid support for our
ecosystem, from a number of build options, managed Java components,
native metrics, dynamic logger, and quite a bit more.
To learn more about Java features on Azure Container Apps, visit
the documentation page.
You can also ask questions and leave feedback on the Azure
Container Apps GitHub page.
Partner – Orkes – NPI EA (cat = Spring)
Modern software architecture is often broken. Slow delivery
leads to missed opportunities, innovation is stalled due to
architectural complexities, and engineering resources are
exceedingly expensive.
Orkes is the leading workflow orchestration platform
built to enable teams to transform the way they develop, connect,
and deploy applications, microservices, AI agents, and more.
With Orkes Conductor managed through Orkes Cloud, developers can
focus on building mission critical applications without worrying
about infrastructure maintenance to meet goals and, simply put,
taking new products live faster and reducing total cost of
ownership.
Modern software architecture is often broken. Slow delivery
leads to missed opportunities, innovation is stalled due to
architectural complexities, and engineering resources are
exceedingly expensive.
Orkes is the leading workflow orchestration platform
built to enable teams to transform the way they develop, connect,
and deploy applications, microservices, AI agents, and more.
With Orkes Conductor managed through Orkes Cloud, developers can
focus on building mission critical applications without worrying
about infrastructure maintenance to meet goals and, simply put,
taking new products live faster and reducing total cost of
ownership.
eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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:
eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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:
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:
Traditional keyword-based search methods rely on exact word
matches, often leading to irrelevant results depending on
the user's phrasing.
By comparison, using a vector store allows us to represent the
data as vector embeddings, based on meaningful relationships. We
can then compare the meaning of the user’s query to the stored
content, and retrieve more relevant, context-aware
results.
Explore how to build an intelligent chatbot using MongoDB
Atlas, Langchain4j and Spring Boot: