ASF releases: Tomcat, Jackrabbit Oak, OpenNLP, SIS

🔮 Many ORMs do too much magic - to the point when you cannot understand the SQL query it generates under the hood! I've recently came across jOOQ - it has a clear DSL that feels exactly same as SQL with the convenience of generated schema (which can be done from your Flyway migration or a real database). If you're looking for some ORM solution for Java or Kotlin with Coroutines support - I highly recommend it. Check it out 👇 https://www.jooq.org/ #kotlin #backend #jooq #sql #java #orm

Hello connections....! Over the past few days I have been thinking about to share a new concept in java which i learned from Codegnan. 🚀 Leveling Up: Learning Advanced Java & JDBC Connectivity! ☕ ➡️ I’ve been diving deeper into Advanced Java concepts — especially JDBC (Java Database Connectivity) — and it’s been a fascinating journey! ➡️ Before JDBC, Java applications had to rely on native database libraries or bridging technologies to connect to databases. This made integration complex and non-portable. But with JDBC, Java provides a standard API to interact with any database easily and consistently. ➡️ I learned a small concept map to visualize the flow: 🧭 Java Application ➖ JDBC API ➖ JDBC Driver Manager ➖ JDBC Driver ➖ Database (Oracle / MySQL / ODBC, etc.) Through this, I learned how JDBC drivers act as a bridge between Java applications and databases. 🔍 Types of JDBC Drivers: 1️⃣ Type 1: JDBC-ODBC Bridge Driver 2️⃣ Type 2: Native API Driver 3️⃣ Type 3: Network Protocol Driver 4️⃣ Type 4: Thin Driver (Pure Java Driver) Each type has its pros and cons, but the Type 4 driver is the most widely used today due to its platform independence and performance. 💡 Key takeaway: JDBC made Java truly database-independent — a crucial step toward building scalable, enterprise-grade applications. Learnings from Levaku Lavanya ma'am. Organizational Support by Saketh Kallepu sir and Uppugundla Sairam sir. #Java #AdvancedJava #JDBC #LearningJourney #DatabaseConnectivity #SoftwareDevelopment #Programming

Day 69: SOLVING THE SCALABILITY CRISIS (Connection Pooling) 🚀📈 The Problem: Every time a Java application talks to a database, creating and closing a new JDBC connection is slow and resource-intensive. In a high-traffic environment, this bottleneck will crush application performance and overload the database server. The Solution: On Day 69 of my #100DaysOfCode with GeeksforGeeks Nation Skill Up, I implemented Connection Pooling with HikariCP—the industry gold standard for performance. Here’s what I put into practice today: Caching Connections: Learned to configure a pool of reusable connections, ensuring requests grab a pre-made connection instantly, rather than forcing a slow network setup and tear-down every time. HikariCP Integration: Successfully implemented the HikariDataSource for robust pool management, focusing on proper setup of the connection URL, credentials, and the vital maximum pool size (as seen in the code!). Resource Throttling: Understood that pooling not only speeds up the application but also protects the database server from being overwhelmed by too many concurrent connection requests. The Impact on Future Projects: Before Pooling (Slow): High latency for every database operation; potential server overload. After Pooling (Fast): Near-instant data access, stable, predictable resource usage, and clean retrieval of connections from the pool. This is a major milestone! Moving from functional database access to scalable, high-performance architecture. 📘 Course: Java Skill Up 🔗 Course link: https://lnkd.in/g-yRkpHn #skillupwithgfg #nationskillup #Java #JDBC #ConnectionPooling #HikariCP #PerformanceOptimization #SoftwareArchitecture

New episode of The Marco Show is out now! This week, Marco Behler speaks with Gavin King, creator of Hibernate (now at IBM), about navigating Java persistence without the dogma. We cover: • Hibernate, JPA & Jakarta Data • SQL vs repositories and why views help with legacy schemas • Stateless sessions & lazy loading truths • Why DRY is still commandment #1 Watch the full episode here: https://lnkd.in/dMJUtD6C

Ever wondered if Java can handle massive datasets without choking on Garbage Collection? I recently explored the Foreign Function & Memory (FFM) API in JDK 22, and the results are truly eye-opening. 🚀 Off-Heap Magic: Handle massive datasets without GC headaches ⚡ Zero-Copy Processing: Lightning-fast analytics with Apache Arrow ⏱️ Performance Boost: Supercharge big data workflows Inspired by innovations like Vortex File format, I dove deep into how Java can push data processing to the next level. 🔗 Read more on my Medium Article. https://lnkd.in/guc7TGXS #java #JDK25 #GarbageCollection #FFM #BigData

🤓 How to "un-implement" a #Java interface? So I'm exploring the new #ApacheFlink DataStream V2 API right now, and in the course of doing so I ran into an issue using Flink's Kafka sink with this API: java.lang.UnsupportedOperationException: Sink with post-commit topology is not supported for DataStream v2 atm. Looking at the source code triggering this exception, the issue is that the Kafka sink implements the SupportsPostCommitTopology interface, which apparently isn't supported yet by DataStream V2. The interface is needed for exactly-once delivery in the Kafka sink. But for my current testing, I'm actually fine with at-least once. So how can I get a Kafka sink which doesn't implement this interface? I could go and implement a wrapper around the existing Kafka sink which implements all the same interfaces other than SPCT, and delegates to an instance of KafkaSink. But there's a much less tedious way, using Java's dynamic proxy infrastructure. It's typically used a lot in more framework-y code, but it comes in very handy for the problem at hand. It dynamically generates a class at runtime which implements a given set of interfaces and passes all invocations to an invocation handler. So all we need is an invocation handler which delegates all calls to an actual KafkaSink instance and a proxy implementing the right set of interfaces. Et voilà, we have a KafkaSink-like object which doesn't implement SupportsPostCommitTopology, which is exactly what's needed to get me unstuck for now. More details on what I'm actually trying to do in a bit, but as a small hint, it is related to #Debezium and database transactions 🔥!

# JPA and Hibernate Demo Project https://lnkd.in/eyAvaU8r ## Project Overview This is a comprehensive Spring Boot demonstration project that showcases different approaches to database interaction in Java, progressing from traditional JDBC to modern Spring Data JPA implementations. ## Technologies Used ### Core Framework & Language - **Java 21** - Latest LTS version - **Spring Boot 3.3.5** - Main application framework - **Maven** - Build automation and dependency management ### Database Technologies - **H2 Database** - In-memory database for development and testing  - H2 Console enabled for database inspection  - JDBC URL: `jdbc:h2:mem:testdb` ### Data Access Technologies This project demonstrates three different approaches to database operations: #### 1. **Spring JDBC** (`CourseJdbcRepository`) - Uses `JdbcTemplate` for database operations - Manual SQL query writing - `BeanPropertyRowMapper` for result set mapping - Direct control over SQL statements #### 2. **JPA (Java Persistence API) with Hibernate** (`CourseJpsRepository`) - Uses `EntityManager` for database operations - Jakarta Persistence annotations (`@Entity`, `@Id`, `@PersistenceContext`) - Object-relational mapping - No manual SQL required - Transaction management #### 3. **Spring Data JPA** (`CourseSpringDataJpaRepository`) - Extends `JpaRepository` interface - Zero boilerplate code - Automatic CRUD operations - Query derivation from method names - Most modern and concise approach ### Web Layer - **Spring Web** - REST API capabilities (starter included)

Excited to share my latest project where I built a robust CRUD (Create, Read, Update, Delete) application using Hibernate ORM alongside Core and Advanced Java concepts, powered by a PostgreSQL database. 🔹 Tech Stack Used: Core & Advanced Java Hibernate (JPA & Entity class mapping) PostgreSQL JDBC Object-Oriented Programming (OOP) Maven/Gradle (build tools) IDE (IntelliJ IDEA/Eclipse) 📚 Project Overview: Designed and implemented a Java desktop application that can seamlessly: Insert new records using entity classes and dynamic user input View all or specific records from the table Update data efficiently by entity ID Remove records from the PostgreSQL database with transactional safety Leveraging Hibernate’s ORM capabilities made it possible to handle complex data relationships with ease, reduce boilerplate code, and focus on scalable business logic. The use of PostgreSQL ensured robust and secure data persistence. 🛠️ Skills Demonstrated: Database-First and Code-First approaches with Hibernate mappings Managing transactions and error handling Modular code structure for easy scalability and testing Applying real-world OOP concepts in a Java project Integration of Java with modern databases for enterprise-grade applications 💡 This experience enhanced my ability to build, test, and optimize full-stack Java solutions. If you want to discuss Hibernate, database integration, or collaborative projects—let’s connect! #Java #Hibernate #PostgreSQL #CRUD #JPA #SoftwareDevelopment #Database #OOP #AdvancedJava #Programming #Developer #LinkedInProjects #TechTalent #JavaDeveloper #BackendDevelopment

I recently built a console-based Restaurant Management System using Core Java and MySQL to strengthen my backend programming and database handling skills. 🔧 Modules: • MenuItem • OrderItem • ItemNotFound • MainRestaurent 🗄 Database: MySQL (menuItems table) 🎯 Concepts Practiced: DAO design pattern Exception handling OOP (Encapsulation, Composition) Dynamic SQL queries using PreparedStatement 💡 Key Features: • View restaurant menu items dynamically from the database • Place multiple orders with quantity and auto-bill generation • Calculate total cost for each order • Custom exception handling (e.g., invalid menu item) • JDBC-based database connectivity 🧠 Tech Stack: Java | JDBC | MySQL | OOP | Exception Handling | Console Application This project helped me practice real-world concepts like data validation, DAO pattern usage, and modular design. #JavaDeveloper #JDBC #MySQL #CoreJava #OOP #Projects #BackendDevelopment #ConsoleApp #SoftwareDevelopment #LearningJourney #Codegnan

Brilliant overview of why Java continues to stand strong after all these years. It’s not just a language, it’s an evolving ecosystem that adapts to every layer of software engineering. This truly captures Java’s timeless relevance in a rapidly changing tech landscape. As a Java developer in the corporate world , I can confirm how powerful and adaptable the Java ecosystem still is. From microservices to AI integrations, it keeps proving that strong fundamentals never go out of style. what are your thoughts 🤔?