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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

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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.

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eBook – Reactive – NPI EA (cat=Reactive)
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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:

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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 – Jackson – NPI EA (cat=Jackson)
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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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eBook – Maven – NPI EA (cat = Maven)
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eBook – Persistence – NPI EA (cat=Persistence)
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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Get started with Spring and Spring Boot, through the Learn Spring course:

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Course – RWSB – NPI EA (cat=REST)
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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

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Course – LSS – NPI EA (cat=Spring Security)
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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.

You can explore the course here:

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Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

Course – LJB – NPI EA (cat = Core Java)
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Code your way through and build up a solid, practical foundation of Java:

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Partner – LambdaTest – NPI EA (cat= Testing)
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Distributed systems often come with complex challenges such as service-to-service communication, state management, asynchronous messaging, security, and more.

Dapr (Distributed Application Runtime) provides a set of APIs and building blocks to address these challenges, abstracting away infrastructure so we can focus on business logic.

In this tutorial, we'll focus on Dapr's pub/sub API for message brokering. Using its Spring Boot integration, we'll simplify the creation of a loosely coupled, portable, and easily testable pub/sub messaging system:

>> Flexible Pub/Sub Messaging With Spring Boot and Dapr

1. Introduction

In this tutorial, we’ll explore different ways to filter resources using the Kubernetes Java API.

In our previous articles covering the Kubernetes Java API, we’ve focused on the available methods to query, manipulate, and monitor cluster resources.

Those examples assumed that we were either looking for resources of a specific kind or targeting a single resource. In practice, however, most applications need a way to locate resources based on some criteria.

Kubernetes’ API supports three ways to limit the scope of those searches:

  • Namespaces: scope limited to a given Kubernetes namespace
  • Field Selectors: scope limited to resources having matching field values
  • Label Selectors: scope limited to resources having matching labels

Moreover, we can combine those methods in a single query. This gives us a lot of flexibility to address even complex requirements.

Now, let’s see each method in more detail.

2. Using Namespaces

Using namespaces is the most basic way to limit the scope of a query. As the name implies, a namespaced query only returns items within the specified namespace.

In the Java API, namespaced query methods follow the pattern listNamespacedXXX(). For instance, to list pods in a specific namespace, we’d use listNamespacedPod():

ApiClient client  = Config.defaultClient();
CoreV1Api api = new CoreV1Api(client);
String ns = "ns1";
V1PodList items = api.listNamespacedPod(ns,null, null, null, null, null, null, null, null, 10, false);
items.getItems()
  .stream()
  .map((pod) -> pod.getMetadata().getName() )
  .forEach((name) -> System.out.println("name=" + name));

Here, ApliClient and CoreV1Api  are used to perform actual access to the Kubernetes API server. We use ns1 as the namespace to filter resources. We also use the remaining arguments similar to the ones in the non-namespaced method.

As expected, namespaced queries also have call variants, thus allowing us to create Watches using the same techniques described before. Asynchronous calls and paging also work in the same way as their non-namespaced versions.

3. Using Field Selectors

Namespaced API calls are simple to use but have some limitations:

  • It’s all-or-nothing, meaning we can’t select more than one (but not all) namespaces
  • No way to filter based on resource properties
  • Using a different method for each scenario leads to more complex/verbose client code

Field selectors provide a way to select resources based on the value of one of its fields. A field in Kubernetes parlance is just the JSON path associated with a given value in a resource’s YAML or JSON document. For instance, this is a typical Kubernetes YAML for a pod running an Apache HTTP server:

apiVersion: v1
kind: Pod
metadata:
  labels:
    app: httpd
  name: httpd-6976bbc66c-4lbdp
  namespace: ns1
spec:
  ... fields omitted
status:
  ... fields omitted
  phase: Running

The field status.phase contains the status of an existing Pod. The corresponding field selector expression is simply the field name followed by an operator and value. Now, let’s code a query that returns all running pods in all namespaces:

String fs = "status.phase=Running";        
V1PodList items = api.listPodForAllNamespaces(null, null, fs, null, null, null, null, null, 10, false);
// ... process items

A field selector expression supports only the equality (‘=’ or ‘==’) and inequality (‘!=’) operators. Also, we can pass multiple comma-separated expressions in the same call. In this case, the net effect is that they’ll be ANDed together to produce the final result:

String fs = "metadata.namespace=ns1,status.phase=Running";        
V1PodList items = api.listPodForAllNamespaces(null, null, fs, null, null, null, null, null, 10, false);
// ... process items

Be aware: field values are case-sensitive! In the previous query, using “running” instead of “Running” (capital “R”) would yield an empty result set.

An important limitation of field selectors is that they are resource-dependent. Only metadata.name and metadata.namespace fields are supported across all resource kinds.

Nevertheless, field selectors are especially useful when used with dynamic fields. An example is the status.phase in the previous example. Using a field selector together with a Watch, we can easily create a monitoring application that gets notified when pods terminate.

4. Using Label Selectors

Labels are special fields that contain arbitrary key/value pairs that we can add to any Kubernetes resource as part of its creation. Label selectors are similar to field selector, as they essentially allow filtering a resource list based on its values, but offers more flexibility:

  • Support for additional operators: in/notin/exists/not exists
  • Consistent usage across resource types when compared to field selectors

Going back to the Java API, we use label selectors by constructing a string with the desired criteria and passing it in as an argument to the desired resource API listXXX call. Filtering for a specific label value using equality and/or inequality uses the same syntax used by field selectors.

Let’s see the code that looks for all pods that have a label “app” with the value “httpd”:

String ls = "app=httpd";        
V1PodList items = api.listPodForAllNamespaces(null, null, null, ls, null, null, null, null, 10, false);
// ... process items

The in operator resembles its SQL counterpart and allows us to create some OR logic in queries:

String ls = "app in ( httpd, test )";        
V1PodList items = api.listPodForAllNamespaces(null, null, null, ls, null, null, null, null, 10, false);

Also, we can check for the presence or absence of a field using the labelname or !labelname syntax:

String ls = "app";
V1PodList items = api.listPodForAllNamespaces(null, null, null, ls, null, null, null, null, 10, false);

Finally, we can chain multiple expressions in a single API call. The resulting items list contains only resources that satisfy all expressions:

String ls = "app in ( httpd, test ),version=1,foo";
V1PodList items = api.listPodForAllNamespaces(null, null, null, ls, null, null, null, null, 10, false);

5. Conclusion

In this article, we’ve covered different ways to filter resources using the Java Kubernetes API client.

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)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

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Once the early-adopter seats are all used, the price will go up and stay at $33/year.

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:

>> Download the eBook

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:

>> Join Pro and download the eBook

eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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Course – LS – NPI EA (cat=REST)

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Get started with Spring Boot and with core Spring, through the Learn Spring course:

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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.

eBook Jackson – NPI EA – 3 (cat = Jackson)