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Web searches and AI chats can suggest needlessly complex code for common I/O operations in #Java. There are often better alternatives: https://lnkd.in/ez5iPAr4

🎯 Java Masters, It’s Time to Dominate Performance Optimization! 🚀 Java is more than just a language; it’s an art 🖌️. But even the finest code can lag without optimization. Want to take your Java skills to elite levels? Here are 5 PRO TIPS to make your apps faster, smarter, and future-proof 💡: 💥 1. Turbocharge Streams Streams look sleek but can become bottlenecks with large datasets. Always profile your operations—don’t let that .map() and .filter() ruin your flow! ⚡ 2. Master the Cache Game Why hit the database for the same data? Tools like Redis, Ehcache, or Caffeine turn your app into a speed demon by keeping essential data close. 🎯 3. Hibernate with Precision Fetching everything at once? Rookie move! Embrace @OneToMany(fetch = FetchType.LAZY) to load only what you need. Efficiency is elegance. 🧠 4. Modern Java = Modern You Stay ahead of the curve by harnessing Virtual Threads (Project Loom) for seamless concurrency and JDK 17+ for cutting-edge features. Innovation starts here. ⚙️ 5. Tune That JVM Beast The right garbage collector (think G1 GC, ZGC) can make or break your app’s performance. Fine-tune JVM parameters for a buttery-smooth runtime. 💡 Golden Rule: Measure everything. Use tools like JProfiler, VisualVM, or Java Mission Control to identify bottlenecks and celebrate the gains. 🔥 Your Turn: What’s your go-to performance hack in Java? Let’s spark a conversation in the comments! 👇 Together, we elevate the craft. #JavaPerformance #CodingTips #SpringBoot #Hibernate #JavaCommunity #OptimizeLikeAPro

https://lnkd.in/dbSmjJWp << ...location4j is a simple Java library designed for efficient and accurate geographical data lookups for countries, states, and cities. Unlike other libraries, it operates without relying on third-party APIs, making it both cost-effective and fast. Its built-in dataset provides quick lookups and no need for external HTTP calls... >> #java

Follow #LORSIVTechnologies for more Java Full stack tips and insights! 🚀 Java Full Stack Tip: Implement GraphQL in Your Spring Boot Application for Efficient API Querying and Flexible Data Retrieval 🌐⚙️ Enhance the flexibility of your Java Full Stack projects by integrating GraphQL in Spring Boot to enable clients to query specific data and fetch tailored responses efficiently. By adopting GraphQL, you can streamline API interactions, reduce over-fetching or under-fetching of data, and empower frontend development teams with customizable data retrieval capabilities. #JavaFullStack #SpringBoot #GraphQL #APIQuerying #DataRetrieval #JavaDevelopment Here's an example demonstrating the setup of GraphQL in a Spring Boot application: 1. Define a GraphQL schema for your application's data model: ```graphql type Product { id: ID! name: String! price: Float! } type Query { getProductById(id: ID!): Product } ``` 2. Implement a GraphQL resolver to fetch data based on queries: ```java @Component public class ProductResolver implements GraphQLQueryResolver { @Autowired private ProductService productService; public Product getProductById(Long id) { return productService.getProductById(id); } } ``` 3. Expose the GraphQL endpoint in your Spring Boot application: ```java @RestController public class GraphQLController { @Autowired private GraphQL graphQL; @PostMapping("/graphql") public ResponseEntity<Object> executeQuery(@RequestBody String query) { ExecutionResult result = graphQL.execute(query); return ResponseEntity.ok(result.getData()); } } ``` By leveraging GraphQL in your Spring Boot application, you can enhance API querying capabilities, provide tailored data responses, and improve frontend-backend communication for efficient data retrieval. Unlock the power of GraphQL for efficient API querying and flexible data retrieval in your Java Full Stack projects. Share your feedback post-implementation or tag a colleague interested in optimizing data querying with GraphQL. Don't forget to follow #LORSIVTechnologies for more Java Full stack tips and insights! https://lnkd.in/g6xwq5iY

Write a http 1.1 web server to server text content from scratch in java. #java #techblog #javaprojects #softwareengineering #engineering #software

Follow #LORSIVTechnologies for more Java Full stack tips and insights! 🚀 Java Full Stack Tip: Implement GraphQL Query Language in Your Spring Boot Application for Efficient API Development and Data Fetching 🌐💻 Enhance the flexibility and efficiency of your Java Full Stack projects by incorporating GraphQL query language in Spring Boot to enable precise data retrieval and tailored API responses. By adopting GraphQL, you can define specific data requirements on the client-side, reduce over-fetching, and streamline communication between front-end and back-end services. #JavaFullStack #SpringBoot #GraphQL #APIDevelopment #DataFetching #JavaDevelopment Here's an example demonstrating the usage of GraphQL in a Spring Boot application: 1. Create a GraphQL schema with query and data definitions: ```graphql type Product { id: ID! name: String! price: Float! } type Query { getProductById(id: ID!): Product getAllProducts: [Product] } ``` 2. Implement a GraphQL resolver to fetch data based on queries: ```java @Component public class GraphQLResolver implements GraphQLQueryResolver { private final ProductService productService; public GraphQLResolver(ProductService productService) { this.productService = productService; } public Product getProductById(Long id) { return productService.getProductById(id); } public List<Product> getAllProducts() { return productService.getAllProducts(); } } ``` 3. By integrating GraphQL in your Spring Boot application, you can offer a tailored and efficient way for clients to request and receive specific data, optimizing API performance and enhancing user experience. Integrate GraphQL query language in your Java Full Stack projects to streamline data fetching and improve API development efficiency. Share your feedback post-implementation or tag a colleague interested in exploring GraphQL for enhanced API communication. Don't forget to follow #LORSIVTechnologies for more Java Full stack tips and insights! https://lnkd.in/gKeNKbKa

Java DAOs: Interface or Concrete Class? 🤔 When designing your Java application and implementing a Data Access Object (DAO), one key decision you'll face is whether to use an interface or a concrete class. 🔑 Interface-Based DAO (Recommended for Flexibility) Loose Coupling: Decouple your business logic from specific implementations of the data access layer. Testability: Easily mock interfaces during unit tests. Flexibility: Switch between multiple data sources (JDBC, Hibernate, etc.) without changing your business logic. Example: public interface UserDao { User findById(Long id); List<User> findAll(); void save(User user); } ⚙️ Concrete Class DAO (Suitable for Simple Use Cases) Simpler Setup: Less boilerplate code when you don’t need multiple implementations. Less Overhead: If your application’s data access layer is unlikely to change or be extended. Example: @Repository public class UserDao { // Direct implementation for database interaction } 📍 Recommendation: If you're building scalable, maintainable applications or working in larger teams, interface-based DAOs are usually the best choice. They provide the flexibility and decoupling that are essential for long-term success. #Java #Spring #Spring #SoftwareDesign #Development #CleanCode

Understanding float vs. double in Java! Java offers two powerful floating-point types for handling real numbers: 🔹 float: Compact and efficient, perfect for lightweight tasks. Just remember to add an f at the end (e.g., 3.14f). 🔹 double: Twice as precise as float, ideal for complex calculations and high-accuracy tasks. Choosing the right type ensures your applications are both efficient and precise. Ready to level up your Java skills? Let's code smarter! #programming #tutorial #java #languageJava #dataTypes #SoftwareDevelopment #Learning https://lnkd.in/dyQyzgB4

📢 Ever wondered why Java remains a favorite in the tech world? 🌍 🏆 Java, born in 1995, continues to dominate even as it nears its 30th anniversary. 📡 Initially designed for smart TVs, it quickly adapted to the internet era, becoming a staple for server-side development. Here's why Java is still relevant today: 🔹 Simplicity: Easier than C++ or Perl, making it ideal for fast-paced web development. 🔹 Portability: Java follows the WORA principle - Write Once, Run Anywhere. This means cross-platform compatibility and reduced development costs. 🔹 Security: With built-in features like bytecode verification and access control, Java is perfect for handling sensitive data. 🔹 Scalability: Thanks to its architecture, Java apps can easily scale up as needed. Despite newer languages rising in popularity, Java's role in enterprise applications and complex back-end systems keeps it indispensable. 💡 Trending Use Cases: Cloud Computing: Java's resilience and scalability make it perfect for cloud-native apps. AI and ML: With tools like Weka and Deeplearning4j, Java is gaining ground in AI/ML development. Big Data: Java's performance and extensive ecosystem make it a top choice for Big Data solutions. Companies like Google, Amazon, and Netflix rely on Java for their core systems. If these giants trust Java, shouldn't you? 💪 Read more in our new article https://lnkd.in/edGD_nY6 What are your thoughts on Java's enduring popularity? Let's discuss in the comments!👇

https://lnkd.in/g_weMq_9 #spring #springcore #springframework Can you define a prototype bean inside a Singleton bean ? Every time you refer to the bean name you will get a new instance of the prototype bean. Even if your singleton bean is declared once , the application context will have different instance of the prototype bean as many times the singleton is loaded in to memory. So even of the prototype is scoped in Singleton, Application context still will have multiple instances of Prototype bean. Please refer to this article for more explaination. When we are referring to a singleton class in java application, there is only one instance of that class is available however with Spring Singleton does not mean that that context has only one instance of that type, It can have multiple instance of that type with different names.