Engineering With Java: Digest #15

Curated and Hand-picked Java and Spring Blogs.

In this edition of the Engineering With Java newsletter, we have hand-picked some interesting Java and Spring articles that are worth reading. These articles include topic such as AOP, JVM debugging, Restclient, Microservice, DTO, Configuration, and much more.

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Aspect-Oriented Programming (AOP) Made Easy With Java

• AOP enables better separation of concern Java applications by using aspects and pointcuts.
• The AspectJ framework facilitates AOP adoption in Java, resulting in code that is easier to understand and maintain.
• AOP’s clean separation of concerns enhances code readability and cohesion, ultimately leading to more robust and flexible software systems.

Spring: Internals of RestClient

• The introduction of Spring RestClient in Spring Boot 3.2 marks a significant advancement in simplifying the development of REST endpoints within the Spring ecosystem.
• Its comparison with existing options like RestTemplate and WebClient highlights its superiority in terms of offering an intuitive API and reducing redundancy.
• By providing a sophisticated abstraction layer built upon RestTemplate’s infrastructure, RestClient streamlines the process of sending HTTP requests, offering flexibility through static create methods and builder pattern customization
• With its potential to replace RestTemplate and enhance RESTful service development, Spring RestClient emerges as a valuable tool for modernizing and simplifying enterprise application development in the Spring framework.

Stop using @value annotation in spring boot.

• Configuration is a crucial aspect of any application, particularly in Spring projects.
• The traditional approach of using Spring’s @Value annotation for loading values from properties files is common but has drawbacks.
• Disadvantages of using @Value include potential brittleness, lack of type safety, and difficulty in managing changes.
• There’s a growing trend among developers to explore alternatives to @Value for more robust configuration management.
• By considering alternative approaches like Spring Boot’s ConfigurationProperties and constructor injection, developers can achieve better type safety and maintainability in their applications.
• Embracing these alternatives can lead to more resilient and easier-to-maintain codebases, contributing to overall application quality and developer satisfaction.

Saga Pattern in Microservices Architecture

• The Saga Pattern addresses the challenges of managing distributed transactions in microservices architectures.
• By orchestrating a sequence of local transactions, the Saga Pattern ensures data consistency across different microservices.
• Two implementation approaches exist choreography and orchestration, with orchestration offering centralized coordination and visibility.
• Orkes Conductor, an enterprise-grade orchestration platform, simplifies the implementation of the Saga Pattern in microservices architectures.
• Saga Pattern with Orkes Conductor offers a robust and scalable solution for managing distributed transactions in microservices architectures, enabling developers to build resilient and maintainable applications.

Simplified Java Data Transfer Objects (DTO-Free Java)

• DTO-Free Java offers a streamlined approach to data transfer in Java development, eliminating the need for traditional Data Transfer Objects (DTOs).
• By directly passing domain objects or utilizing lightweight data structures, DTO-Free Java simplifies data exchange between components, resulting in cleaner and more efficient code.
• Traditional DTOs often lead to code duplication, performance bottlenecks, and reduced code readability, which DTO-Free Java aims to mitigate.
• DTO-Free Java promotes code simplicity, reduced boilerplate code, improved performance, simplified data flow, enhanced code maintainability, and alignment with domain-driven design principles.

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Mastering jhsdb: The Hidden Gem for Debugging JVM Issues

• Mastering jhsdb is a valuable asset for developers and system administrators dealing with JVM and native code issues.
• Despite being relatively underexplored, jhsdb offers a range of capabilities that can greatly enhance the debugging process.
• From deep memory analysis to performance metrics, jhsdb provides insights into JVM internals, core dumps, and performance bottlenecks.

Spring Boot with Redis cache

• Leveraging Redis cache with Spring Boot offers significant benefits in terms of performance, scalability, and efficiency for applications handling large volumes of data and requiring low-latency access.
• Redis, as an in-memory data store, provides lightning-fast read and write operations, making it ideal for high-throughput scenarios where speed is critical.
• The motivation behind using Redis lies in its ability to deliver high performance and scalability. By storing data in memory, Redis minimizes disk I/O overhead, resulting in faster data access compared to traditional disk-based storage systems.

Supercharge Your Debugging with JMX

• JMX (Java Management Extensions) offers a powerful set of tools and capabilities that can revolutionize the debugging process for Java applications.
• Traditionally overlooked as a debugging tool, JMX provides developers with a non-intrusive, real-time, and remote approach to diagnosing and resolving issues within their applications.
• By leveraging JMX, developers can
• Gain Real-Time Insights
• Debug Remotely
• Automate Tasks
• Interact with Applications

3 ways to convert String to JSON object in Java? Examples

• Converting a String to a JSON object in Java can be accomplished using various libraries such as Gson, JSON-Simple, and Jackson.
• Each library has its own advantages and disadvantages, making it important to choose the one that best fits your project requirements.
• Gson: Provided by Google, Gson is feature-rich and known for its performance. It’s suitable for parsing JSON files that are not too big and is commonly used for config files.
• JSON-Simple: This library is lightweight and suitable for memory-constrained environments like J2ME and Android. It’s compatible with older Java versions, making it a good choice for legacy projects.
• Jackson: Jackson is widely regarded as the most popular JSON parsing library in the Java world. It’s fast, feature-rich, and supports streaming, making it ideal for parsing large JSON responses from web services. However, it requires JDK 1.5 or higher.

Create Spring Prototype Scope Bean with Runtime Arguments

• Four different approaches for creating prototype beans with dynamic arguments:
• Using the ApplicationContext: This basic approach involved injecting the ApplicationContext and obtaining prototype beans directly.
• Using the Factory Method: Spring’s ObjectFactory interface was utilized to produce on-demand instances of prototype beans.
• Using the @Lookup annotation: Method injection with the @Lookup annotation was explored, allowing for the dynamic creation of prototype beans by overriding methods in Spring-managed components.
• Using Function: Spring’s Function interface was leveraged to create prototype beans at runtime with arguments applied to newly created instances.

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