Cool site to show myriad improvements of Java source code (before and now as JDK improvements are released) across dozens of features. #java https://lnkd.in/e-ecncAB
Java Code Improvements: JDK Enhancements
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Came across a newly released, well-structured resource for Java developers that’s worth sharing: 👉 https://lnkd.in/dfikH6W8 JavaEvolved is a curated collection of Java best practices, patterns, and practical examples. It’s cleanly organized and useful both for revisiting fundamentals and refining more advanced concepts. Definitely a helpful reference for anyone working with Java. ☕ #Java #SoftwareEngineering #CleanCode
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✅ Java Features – Step 21: Pattern Matching for instanceof (Java 17) ⚡ Before Java 17, using instanceof required an extra cast. Example (old style): if (obj instanceof String) { String s = (String) obj; System.out.println(s.length()); } Java 17 simplifies this with pattern matching. if (obj instanceof String s) { System.out.println(s.length()); } Now the variable s is automatically created after the type check. Why this matters Less boilerplate code Safer type checking Improved readability Fewer casting mistakes Example Object value = "Java"; if (value instanceof String str) { System.out.println(str.toUpperCase()); } Key takeaway Pattern matching reduces repetitive casting and makes type-checking logic cleaner. This is part of Java’s effort to modernize the language. Next up: Recap – Key Features from Java 8 → Java 17 🚀
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📄 On paper this looks like a small syntax tweak, ✨ but in real projects it feels like a relief. 🔧 DTO mapping, 📝 logging, or ⚙️ handling different event types in a backend system — we used to write instanceof checks followed by repetitive casts everywhere. ❌ It wasn’t just ugly, it was error‑prone. ✅ Now the flow is natural: if (event instanceof PaymentEvent pe) { auditLogger.log(pe.getTransactionId()); } 💡 This isn’t just saving a line of code. 👉 It’s about intent. 👥 When a teammate reads this, they immediately see what’s happening without being distracted by boilerplate. 🚀 In practice, these “small” changes: 🔓 reduce friction 👶 make onboarding easier for juniors 🎯 help teams focus on business logic instead of ceremony 📌 My takeaway: Code is not only for machines to run, but for humans to read, share, and maintain. Readability = productivity. This way your repost feels more personal, visually appealing, and relatable to everyday coding practice.
✅ Java Features – Step 21: Pattern Matching for instanceof (Java 17) ⚡ Before Java 17, using instanceof required an extra cast. Example (old style): if (obj instanceof String) { String s = (String) obj; System.out.println(s.length()); } Java 17 simplifies this with pattern matching. if (obj instanceof String s) { System.out.println(s.length()); } Now the variable s is automatically created after the type check. Why this matters Less boilerplate code Safer type checking Improved readability Fewer casting mistakes Example Object value = "Java"; if (value instanceof String str) { System.out.println(str.toUpperCase()); } Key takeaway Pattern matching reduces repetitive casting and makes type-checking logic cleaner. This is part of Java’s effort to modernize the language. Next up: Recap – Key Features from Java 8 → Java 17 🚀
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🚀 Java Series – Day 16 📌 Custom Exception Handling in Java 🔹 What is it? Custom exceptions are user-defined exceptions used when built-in exceptions are not enough to handle specific scenarios. 🔹 Why do we use it? They help create clear and meaningful error messages for business logic. For example: In an e-commerce application, we can create an OutOfStockException when a product is unavailable. 🔹 Example: class OutOfStockException extends Exception { public OutOfStockException(String message) { super(message); } } public class Main { public static void main(String[] args) { try { throw new OutOfStockException("Product is out of stock"); } catch (OutOfStockException e) { System.out.println(e.getMessage()); } } } 💡 Key Takeaway: Custom exceptions make your code clean, readable, and business-focused. What do you think about this? 👇 #Java #ExceptionHandling #JavaDeveloper #Programming #BackendDevelopment
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Most Java devs know you can't use multiple inheritance. But do you know all the types you CAN'T extend — even without the final keyword? 🤔 The rule is simple: a class can only extend ONE parent. But Java has several types that block inheritance through different mechanisms — not always with final. Here's the full picture: → final class: The obvious one. Compiler blocks extension directly. → enum: Implicitly extends java.lang.Enum. Since Java doesn't allow multiple inheritance, no room for your class. → record (Java 16+): Implicitly final. Compiler rejects any attempt to extend it. → Arrays (int[], String[], etc.): They extend Object — confirmed by the Java Language Specification. But the JVM creates them at runtime, not as regular classes. You cannot extend them. Period. → Private constructor: No final needed. Since every child class must call super(), a private constructor silently kills inheritance. ```java class Singleton { private Singleton() { } // blocks extension AND multiple instances public static Singleton getInstance() { ... } } class Child extends Singleton { } // ❌ Won't compile ``` This is why the Singleton pattern gets a free "sealed" behavior — not by design choice, but as a side effect of the private constructor. The key insight: final is just ONE of the ways Java prevents inheritance. The language has multiple mechanisms, some explicit, some implicit, some enforced by the JVM itself. Understanding WHY something can't be extended makes you a better architect — not just a better coder. 🎯 📊 Java Language Specification - Arrays (JLS §10): https://lnkd.in/eSyKYpip 📊 Java Language Specification - Types and Values (JLS §4): https://lnkd.in/e5EGb-ps 📊 Java Arrays and Inheritance — Medium (Santiago Barbieri, 2024): https://lnkd.in/e9vziKWt #Java #SoftwareEngineering #BackendDevelopment #ObjectOrientedProgramming #CleanCode #JavaDeveloper #TechLeadership #Microservices
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Day 50 – Java 2026: Smart, Stable & Still the Future Multi-Line Static Initializer in Java A multi-line static initializer is a static block that contains multiple statements used to initialize static variables with logic. It executes only once when the class is loaded into memory by the JVM ClassLoader. This is useful when initialization requires conditions, calculations, or multiple steps, not just a single assignment. class Configuration { static int maxUsers; static String environment; static { System.out.println("Static initializer started"); maxUsers = 100; if(maxUsers > 50) { environment = "Production"; } else { environment = "Development"; } System.out.println("Environment: " + environment); } public static void main(String[] args) { System.out.println("Application Started"); System.out.println("Max Users: " + maxUsers); } } Output Static initializer started Environment: Production Application Started Max Users: 100 Key Idea: A multi-line static initializer allows complex initialization logic and runs only once during class loading, making it efficient for setting up configurations, constants, or system settings. #Java #JavaDeveloper #JVM #Programming #BackendDevelopment
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How Does "ConcurrentHashMap" Achieve Thread Safety in Java? In multithreaded applications, using a normal "HashMap" can lead to race conditions and inconsistent data. While "Hashtable" provides thread safety, it locks the entire map, which can reduce performance. This is where "ConcurrentHashMap" comes in. It provides high performance and thread safety by allowing multiple threads to read and write simultaneously. 🔹 How it Works 1️⃣ Segment / Bucket Level Locking (Java 7) Instead of locking the entire map, "ConcurrentHashMap" divides the map into segments. Each segment can be locked independently, allowing multiple threads to work on different segments. This significantly improves concurrency. 2️⃣ Fine-Grained Locking (Java 8+) In Java 8, the implementation was improved further. Instead of segments, it uses: ✔ CAS (Compare-And-Swap) operations ✔ Node-level synchronization when needed This allows better performance and scalability. 🔹 Example import java.util.concurrent.ConcurrentHashMap; public class Example { public static void main(String[] args) { ConcurrentHashMap<Integer, String> map = new ConcurrentHashMap<>(); map.put(1, "Java"); map.put(2, "Spring"); map.put(3, "Kafka"); map.forEach((k,v) -> System.out.println(k + " : " + v)); } } Multiple threads can safely read and update the map without blocking the entire structure. 🔹 Key Benefits ✔ Thread-safe operations ✔ Better performance than "Hashtable" ✔ Allows concurrent reads and writes ✔ Highly scalable in multithreaded environments In simple terms: "HashMap" → Not thread safe "Hashtable" → Thread safe but slow "ConcurrentHashMap" → Thread safe and optimized for concurrency. #Java #ConcurrentHashMap #Multithreading #JavaDeveloper #Concurrency #Programming
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✅ Java Features – Step 18: Text Blocks (Java 15) 🧾 Before Java 15, writing multi-line strings required lots of concatenation. Example: String query = "SELECT * FROM users\n" + "WHERE age > 25\n" + "ORDER BY name"; Java 15 introduced Text Blocks, which allow clean multi-line strings. String query = """ SELECT * FROM users WHERE age > 25 ORDER BY name """; Why this matters Cleaner multi-line strings Great for SQL queries, JSON, HTML, and XML Less escaping and string concatenation Much more readable code Example with JSON String json = """ { "name": "Mariya", "role": "Developer" } """; Key takeaway Text blocks make working with structured text much easier and improve code readability. Next up: Java Records (Java 16) 🚀
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Discover Java 11 features like HTTP Client, var in lambdas, new String methods, and file I/O updates with code and JEP links.
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Core Java Fundamentals :Key Traits of Metaspace Permanent Generation in Java PermGen (Permanent Generation) was a memory area in the Java Virtual Machine (JVM) used before Java 8 to store class metadata, interned strings, and static variables. It was part of the JVM heap space and had a fixed size, making it difficult to manage memory efficiently. Fixed and Hard-to-Tune Size in PermGen PermGen had a fixed maximum size, which was often too small for applications with many classes. Correct Tuning was Tricky Even though it was configurable using -XX:MaxPermSize, tuning it correctly was difficult. PermGen was not dynamically expanding Unlike Metaspace, on the other hand, dynamically expands using native memory, eliminating manual tuning issues. OutOfMemoryError If class metadata exceeded 256MB, the application would crash with OutOfMemoryError: PermGen space. Key Features of Metaspace Stores Class Metadata It holds information about classes, methods, and their runtime representations (like method bytecode and field details). Unlike PermGen, it does not store Java objects (which reside in the heap). Uses Native Memory Unlike PermGen, which had a fixed maximum size, Metaspace dynamically expands using native memory(outside the heap), reducing Out of memory errors. Automatic Growth & GC Handling The JVM automatically manages Metaspace size based on the application’s needs. Class metadata is garbage collected when classes are no longer needed (such as when an application uses dynamic class loading). Configurable Maximum Size -XX:MaxMetaspaceSize=256m // Limits Metaspace to 256MB -XX:MetaspaceSize=128m // Initial size before expanding ☕ If this helped you — support my work: 👉 Buy Me a Coffee -https://lnkd.in/ebXVUJn2 #JVMInternals #JavaPerformance #MemoryManagement #SpringBoot #Microservices #SystemDesign
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