Partner – Microsoft – NPI EA (cat = Baeldung)
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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)
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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)
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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.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag=Microservices)
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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.

Try a 14-Day Free Trial of Orkes Conductor today.

eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with Spring Cloud:

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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.

Get started with mocking and improve your application tests using our Mockito guide:

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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 – 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:

>> Join Pro and download the eBook

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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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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Get Started with Apache Maven:

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

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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:

>> Learn Spring Security

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.

Get started with Spring Data JPA through the guided reference course:

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Partner – MongoDB – NPI EA (tag=MongoDB)
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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:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Partner – LambdaTest – NPI EA (cat=Testing)
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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:

Automated Accessibility Testing With Selenium

1. Introduction

Caching is an effective strategy to improve performance by avoiding repeated execution of logic when the execution result hasn’t changed (effectively the same) for a known period.

Spring Boot provides the @Cacheable annotation, which we define over a method, and it caches the result of the method. In some scenarios, such as during testing in a lower environment, we may need to disable caching to observe certain modified behaviors.

In this article, we’ll configure the cache in Spring Boot and learn how to disable the cache when needed.

2. Caching Setup

Let’s set up a simple use case of querying book reviews by ISBN and cache the method in some logic using @Cacheable.

Our entity class will be the BookReview class, which contains rating, isbn, and so on:

@Entity
@Table(name="BOOK_REVIEWS")
public class BookReview {
    @Id
    @GeneratedValue(strategy= GenerationType.SEQUENCE, generator = "book_reviews_reviews_id_seq")
    @SequenceGenerator(name = "book_reviews_reviews_id_seq", sequenceName = "book_reviews_reviews_id_seq", allocationSize = 1)
    private Long reviewsId;
    private String userId;
    private String isbn;
    private String bookRating;
   
    // getters & setters
}

We add a simple findByIsbn() method in BookRepository to query book reviews by isbn:

public interface BookRepository extends JpaRepository<BookReview, Long> {
    List<BookReview> findByIsbn(String isbn);
}

BookReviewsLogic class contains a method that calls findByIsbn() in BookRepository. We add @Cacheable annotation, which caches the result for given isbn in the book_reviews cache:

@Service
public class BookReviewsLogic {
    @Autowired
    private BookRepository bookRepository;

    @Cacheable(value = "book_reviews", key = "#isbn")
    public List<BookReview> getBooksByIsbn(String isbn){
        return bookRepository.findByIsbn(isbn);
    }
}

Since we’re using @Cacheable in the logic class, we need to configure our cache. We can set up cache config by annotation config class with @Configuration and @EnableCaching. Here, we’re returning HashMap as our cache storage:

@Configuration
@EnableCaching
public class CacheConfig {
    @Bean
    public CacheManager cacheManager() {
        return new ConcurrentMapCacheManager();
    }
}

We’re ready with the cache setup. If we execute getBooksByIsbn() in BookReviewsLogic, our result gets cached in the first execution and it’s returned immediately from then on without re-computing (i.e., querying to the database) thus improving the performance.

Let’s write a simple test to verify it:

@Test
public void givenCacheEnabled_whenLogicExecuted2ndTime_thenItDoesntQueriesDB(CapturedOutput output){
    BookReview bookReview = insertBookReview();

    String target = "Hibernate: select bookreview0_.reviews_id as reviews_1_0_, "
      + "bookreview0_.book_rating as book_rat2_0_, "
      + "bookreview0_.isbn as isbn3_0_, "
      + "bookreview0_.user_id as user_id4_0_ "
      + "from book_reviews bookreview0_ "
      + "where bookreview0_.isbn=?";

    // 1st execution
    bookReviewsLogic.getBooksByIsbn(bookReview.getIsbn());
    String[] logs = output.toString()
      .split("\\r?\\n");
    assertThat(logs).anyMatch(e -> e.contains(target));

    // 2nd execution
    bookReviewsLogic.getBooksByIsbn(bookReview.getIsbn());
    logs = output.toString()
      .split("\\r?\\n");

    long count = Arrays.stream(logs)
      .filter(e -> e.equals(target))
      .count();

    // count 1 means the select query log from 1st execution.
    assertEquals(1,count);
}

In the above test, we’re executing the getBooksByIsbn() twice, capturing the logs, and confirming the select query is executed just once since the getBooksByIsbn() method returns a cached result on the second execution.

To generate an SQL log for the query executed against the database, we can set the below property in the application.properties file:

spring.jpa.show-sql=true

3. Disabling Cache

For disabling the cache, we’ll use an additional custom property (i.e., appconfig.cache.enabled) in the application.properties file:

appconfig.cache.enabled=true

Afterward, we can read this config in the cache config file and have a conditional check:

@Bean
public CacheManager cacheManager(@Value("${appconfig.cache.enabled}") String isCacheEnabled) {
    if (isCacheEnabled.equalsIgnoreCase("false")) {
        return new NoOpCacheManager();
    }

    return new ConcurrentMapCacheManager();
}

As we can see above, our logic checks whether the property is set to disable the cache. If so, we can return an instance of NoOpCacheManager, which is a caching manager that doesn’t perform caching. Otherwise, we can return our Hash-based cache manager.

With the above simple setup, we can disable the cache in the Spring Boot app. Let’s verify the above setup with a simple test.

First, we need to modify the cache property that we defined in application.properties. For our test setup, we can override the property using @TestPropertySource:

@SpringBootTest(classes = BookReviewApplication.class)
@ExtendWith(OutputCaptureExtension.class)
@TestPropertySource(properties = {
    "appconfig.cache.enabled=false"
})
public class BookReviewsLogicCacheDisabledUnitTest {
    // ...
}

Now, our test would be similar to earlier, where we executed the logic twice. We check the SQL query log if it logged twice in the current test since execution won’t be cached:

long count = Arrays.stream(logs)
   .filter(e -> e.contains(target))
   .count();

// count 2 means the select query log from 1st and 2nd execution.
assertEquals(2, count);

4. Conclusion

In this tutorial, we briefly touched on caching in Spring Boot and then set up the cache in the app. We also learned how to disable the cache when we need to test certain parts of the code. Additionally, we wrote the necessary tests to verify the working of enabling and disabling the cache.

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:

>> Explore a clean Baeldung

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

Partner – Microsoft – NPI EA (cat = Baeldung)
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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)
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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)
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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.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
announcement - icon

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.

Try a 14-Day Free Trial of Orkes Conductor today.

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:

>> Download the eBook

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?

Explore the eBook

Partner – MongoDB – NPI EA (tag=MongoDB)
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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:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Course – LS – NPI EA (cat=REST)

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

>> CHECK OUT THE COURSE

Partner – Microsoft – NPI (cat=Spring)
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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.

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