🚀 When Java’s HashMap Switches from Linked List to Balanced Tree — and Why It Matters! Did you know that Java’s HashMap got smarter since Java 8? 😎 When multiple keys land in the same hash bucket (due to hash collisions), older versions of Java stored them in a linked list — giving O(n) lookup time in the worst case. But Java 8+ said: “Let’s fix that!” 🔧 Here’s what happens now 👇 ✅ If a bucket gets 8 or more entries, it’s converted from a LinkedList to a Balanced Red-Black Tree. ✅ This makes lookups much faster — turning worst-case O(n) into O(log n). ✅ If the number of entries later drops below 6, it switches back to a linked list. ✅ Treeification only happens when the map capacity is at least 64 — otherwise, it just resizes. 💡 Performance insight: You’ll almost never notice this change in everyday use — because good hash distribution keeps buckets small. But it’s a great defensive design that keeps your application safe from performance drops or hash-collision attacks. 🔍 Pro tips for developers: Always implement a strong hashCode() for custom objects. Initialize maps with a sensible capacity if you know their expected size. Remember, this feature doesn’t replace good design — it’s just a safety net! 📊 In short: Java 8’s HashMap automatically switches to a red-black tree when collisions get heavy, improving lookup speed from O(n) → O(log n). #Java #SpringBoot #HashMap #Coding #Performance #Java8 #DeveloperTips #TechLearning
How Java 8's HashMap Became Faster with Red-Black Trees
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💡 Immutability in Java — why it matters and how to use it effectively Immutability is one of those concepts that makes your Java code safer, cleaner, and easier to reason about. But what does “immutable” really mean? 👇 🧩 What is immutability? An immutable object is one whose state cannot change after it’s created. Once you build it, its data stays the same forever. This prevents unexpected side effects, race conditions, and bugs caused by shared mutable state — especially in multithreaded systems. 🧠 The classic example: String All String objects in Java are immutable. The classic example: String All String objects in Java are immutable String name = "Java"; name.concat(" Rocks!"); System.out.println(name); // "Java" ✅ Even though we called .concat(), it didn’t modify the original string. It returned a new String. ⚙️ final keyword Declaring a variable as final means you can’t reassign the reference — but it doesn’t make the object itself immutable. final List<String> list = new ArrayList<>(); list.add("A"); // ✅ allowed list = new ArrayList<>(); // ❌ not allowed 🧱 record — immutability made easy Since Java 16, record is the easiest way to create immutable data carriers: public record Person(String name, int age) {} Records automatically make fields private and final, and generate constructors, getters, equals(), hashCode(), and toString(). No setters. No mutability. Pure data. 🚀 Why use immutability Makes code thread-safe without synchronization Easier to debug and test Predictable state — no “who changed this object?” moments Simplifies functional programming with Streams and Lambdas 💬 Conclusion: String → always immutable final → prevents reassignment, not mutation record → immutable data structure made simple Immutability is not about restrictions — it’s about predictability and safety. #Java #Backend #CleanCode #Programming #SpringBoot #SoftwareEngineer #DeveloperTip
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💡 Is the finally block losing its importance in modern Java? If you’ve been working with Java for a while, you’ve surely used the finally block — the trusty companion that ensures resources are released no matter what happens in your try block. Example 👇 FileInputStream fis = null; try { fis = new FileInputStream("data.txt"); // process file } catch (IOException e) { e.printStackTrace(); } finally { if (fis != null) { try { fis.close(); } catch (IOException e) { e.printStackTrace(); } } } ✅ The intention was solid — guarantee cleanup, even when exceptions occur. ⚠️ But the problem? The finally block itself can throw exceptions or mask the original one. For example, if fis.close() fails, the real cause of the failure inside try might be lost. That’s why modern Java developers have largely moved away from finally for resource handling. 🚀 Enter try-with-resources (Java 7+) It automatically closes resources that implement AutoCloseable, making your code safer and cleaner. Example 👇 try (FileInputStream fis = new FileInputStream("data.txt")) { // process file safely } catch (IOException e) { e.printStackTrace(); } ✨ Benefits: No need for explicit finally cleanup. Prevents resource leaks. Preserves the original exception. More concise and readable code. So yes — the finally block still exists, but in most cases, it’s been gracefully replaced by try-with-resources, the safer and modern approach. #Java #CodingTips #Developers #CleanCode #JavaProgramming #ExceptionHandling #SoftwareEngineering
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💡Ever used Optional in Java thinking it would magically eliminate NullPointerExceptions? I did — and it turned into a small coding disaster (and a big learning moment). 😅 In my latest Medium blog, I’ve shared what really happened when I used Optional in my code — what went wrong, how I fixed it, and the best practices I follow today to write cleaner, safer code in Java. 🧩 Check it out here 👇 🔗 https://lnkd.in/ggZymaP9
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"Is a String stored as a Character Array in Java?" 🚀 Java Trivia for Developers: Have you ever wondered how a String is actually stored in memory? 🤔 Most developers would say — “as a char[].” ✅ That used to be true… but not anymore! Let’s break it down 👇 --- 🕹️ Java 8 and Earlier In older versions, a String was internally represented like this: public final class String { private final char[] value; private final int hash; } Each character occupied 2 bytes (UTF-16) — simple, but memory-heavy for ASCII text. --- ⚡ Java 9 and Later – Compact Strings (JEP 254) Starting with Java 9, the internal representation changed to: public final class String { private final byte[] value; private final byte coder; // 0 = LATIN1, 1 = UTF16 private int hash; } Now, Java stores String data as a byte array, using LATIN-1 or UTF-16 encoding based on the content. This saves up to 50% memory for text that fits in 1 byte per character! 💡 --- 🧠 Takeaway So, is a String stored as a char[] in Java? ➡️ Not since Java 9! It’s now backed by a byte[] for better performance and memory efficiency. --- 💬 What do you think about this change? Have you ever noticed memory improvements in your applications after Java 9? #Java #String #MemoryOptimization #JEP254 #JavaDeveloper #CodingTrivia #Performance
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💡Practical Use of Java 8 Streams — Think Beyond Just Loops Ever found yourself writing long loops just to filter or transform data from a list? That’s where Java 8 Streams shine — clean, readable, and efficient. Let’s look at a real-world example 👇 Imagine you have a list of employees and you want to: • Get all employees earning more than ₹50,000 • Sort them by salary (descending) • Collect just their names Before Java 8: List<String> result = new ArrayList<>(); for (Employee e : employees) { if (e.getSalary() > 50000) { result.add(e.getName()); } } Collections.sort(result); With Streams: List<String> result = employees.stream() .filter(e -> e.getSalary() > 50000) .sorted(Comparator.comparing(Employee::getSalary).reversed()) .map(Employee::getName) .collect(Collectors.toList()); ✅ Readable – you describe what to do, not how to do it ✅ Chainable – each step flows like a pipeline ✅ Parallelizable – add .parallelStream() for large datasets Key takeaway: Streams make your code more declarative, concise, and less error-prone. Once you start using them, you’ll rarely go back to old-style loops. Question for you 👇 What’s one Stream operation you use the most — filter, map, or collect? #Java #Programming #Streams #Java8 #CleanCode #CodingTips
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💡 Anonymous Classes vs Lambda Expressions in Java Ever wondered why we rarely see anonymous inner classes in modern Java code anymore? That’s because lambdas quietly took their place. ⚡ Let’s rewind a bit — Before Java 8, if you wanted to provide a short implementation for an interface or override a method just once, you had to write an anonymous inner class. Example 👇 Runnable r = new Runnable() { public void run() { System.out.println("Running with anonymous class..."); } }; new Thread(r).start(); Clean? Not really 😅 Now enter Lambda Expressions in Java 8 — A simpler, shorter way to express the same logic: Runnable r = () -> System.out.println("Running with lambda!"); new Thread(r).start(); ✅ Both achieve the same result. The difference? Lambdas made our code concise, readable, and closer to functional programming. 💬 Key takeaway: Anonymous classes still have their place — especially when you need to extend a class or override multiple methods — but for single-method interfaces, lambdas are the clean, modern choice. Write less. Read more. Think functional. #Java #LambdaExpressions #AnonymousClasses #CleanCode #JavaDeveloper #ProgrammingTips
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🚀 Methods vs. Constructors: Unpacking Key Differences in Java 🚀 New to Java or looking for a quick refresher? Understanding the distinction between Methods and Constructors is fundamental! While both contain blocks of code, they serve very different purposes. Let's break it down with a simple comparison: Constructors: The Blueprint Initializers 🏗️ Purpose: Primarily used to initialize new objects. Think of them as setting up the initial state when an object is first created. Name: Must have the same name as the class itself. Return Type: No return type (not even void). Invocation: Called automatically when you use the new keyword to create an object. Example: new Employee(101, "Alice"); Methods: The Action Performers ⚙️ Purpose: Used to perform actions or operations on an object, or to retrieve information from it. Name: Can have any valid name (following Java naming conventions). Return Type: Must have a return type (e.g., void, int, String, Employee, etc.). Invocation: Called explicitly using the object reference, like object.methodName(). Example: employee.getDetails(); or employee.calculateBonus(); In essence: Constructors build and set up your object. Methods make your object do things. Understanding this distinction is crucial for writing clean, efficient, and object-oriented Java code! Thanks Anand Kumar Buddarapu #Java #Programming #SoftwareDevelopment #OOP #Constructors #Methods #CodingTips
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🚀 Heads-up Java devs: the entry point just got a makeover If you thought every Java program had to start with public static void main(String[] args), the times are changing. With Java SE 21 and onward, the rules around the main() method have been relaxed. Medium+2 🔍 What’s new Java can now use instance main() methods (without static) or even main() with no parameters, in implicitly declared classes. You can skip writing the outer public class HelloWorld { … } in some contexts ("compact source files"). These features started as preview in Java 21 (JEP 445) and later became re-preview in Java 22 (JEP 463). 👍 Why this matters Less boilerplate: Faster to spin up a quick demo or script. Cleaner code: More readable, especially for newbies or quick utilities. Modernised Java: Aligns Java more with scripting or lightweight languages for rapid dev. 📣 Want to try it? // Java 21+ preview mode or above void main() { IO.println("Hello, world!"); } Yep — no public, no static, no args array. Though note: preview features may need enabling until finalised. 🗣 Let’s talk Have you experimented with this new main method style? Would you adopt it in production code, or is it just for demos & quick scripts? What’s a change in Java you wish would come next? Drop your thoughts below — and if you found this useful, hit Follow for more Java/Spring/tech-deep dives. #Java #Java21 #ProgrammingLanguages #SoftwareEngineering #DeveloperNews #SpringBoot #JobOpportunity
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🚀 Java 8 → Java 17: The Most Practical Features Developers Use Every Day Java has evolved significantly over the years, but only a few features have a real impact on daily development. Here are the most important, real-world, high-productivity features from Java 8 to 17 that every backend developer should use. Java 8 Foundation of Modern Java Lambdas → Cleaner, expressive functional code Stream API → Filtering, mapping, sorting, grouping Optional → Avoid null pointer issues java.time API → Modern date/time handling CompletableFuture → Async programming made simpler Java 9 List.of(), Set.of(), Map.of() → Quick immutable collections JShell → Test code instantly Java 10 var keyword → Cleaner declarations, faster development Java 11 (LTS) HTTP Client API → HTTP/2, async support String enhancements → isBlank(), strip(), repeat(), lines() Java 13–15 Text Blocks → Easy multi-line JSON, SQL, HTML Pattern Matching (preview) → Cleaner instanceof checks Java 16–17 (Modern Java) Records → Perfect for DTOs and API models Sealed Classes → Controlled inheritance for domain modeling Pattern Matching (finalized) → Cleaner type patterns Improved GC (ZGC, Shenandoah) → Low-latency microservice performance 🔥 Top 7 Features Used DAILY (Most Practical) 1️⃣ Stream API 2️⃣ Lambdas 3️⃣ var keyword 4️⃣ List.of(), Map.of() 5️⃣ String new methods (Java 11) 6️⃣ Records 7️⃣ Text Blocks If you're writing Java Code, these are the features you should use every day. #Java #Java17 #JavaDeveloper #BackendDevelopment #Programming #SoftwareEngineering
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