PAVAN KUMAR S J’s Post

🔥 Java Stream API Stream API (introduced in Java 8) is used to process collections in a functional and declarative way. It allows you to perform operations like filtering, mapping, sorting, and grouping without modifying the original data. 🧠 Key Points for Interview -Stream does not store data -It works on Collections -Supports lazy evaluation -Uses internal iteration -Can run in parallel ⚙ Types of Operations 1️⃣ Intermediate (lazy): filter(), map(), sorted(), distinct() 2️⃣ Terminal (triggers execution): collect(), forEach(), count(), reduce() 💻 Example-> List<String> result = nameList.stream() .filter(name -> name.startsWith("A")) .map(String::toUpperCase) .toList(); 🎯 Interview Difference Collection → stores data Stream → processes data #java#streamapi#java8#javainterview

Java Exception Handling – Complete Deep Dive Today I revisited one of the most crucial topics in Core Java: Exception Handling. 🔹 What is an Exception & Exception Handling 🔹 Checked vs Unchecked Exceptions 🔹 try-catch, nested try-catch, multi-catch 🔹 finally block & resource cleanup 🔹 throw vs throws keywords 🔹 Exception Propagation 🔹 Exception Handling with Method Overriding 🔹 Custom (User-Defined) Exceptions 🔹 Try-With-Resources (AutoCloseable) 💡 Key takeaways: • Understand exception hierarchy for robust code. • Handle exceptions smartly for normal flow continuity. • Use custom exceptions for business logic & clarity. • Leverage try-with-resources for safe and clean resource management. Strong fundamentals lead to optimized, interview-ready Java code. 🚀 #Java #CoreJava #JavaDeveloper #ExceptionHandling #CleanCode #DSA #Coding #LearningJourney #InterviewPreparation #TechDeepDive #CodesInTransit #MondayMotivation #RevisitingTheTopics

🚀 Demonstrating Exception Handling and Method Flow in Java As part of my Core Java practice, I developed a program to understand how exception handling works across multiple method calls. The execution flow of the program is: main() → gamma() → beta() → alpha() In the alpha() method, I performed division using user input and handled potential runtime exceptions (such as division by zero) using a try-catch block. Since the exception is handled inside alpha(), it does not propagate further. Through this implementation, I clearly understood: ✔️ How exceptions are handled at the source method ✔️ How control returns safely to beta(), gamma(), and main() after handling ✔️ How exception propagation would occur if the exception was not handled in alpha() ✔️ The importance of structured error handling in writing reliable programs This exercise strengthened my understanding of how Java manages runtime errors and maintains program stability across different layers of execution. Continuously building strong fundamentals in Core Java through hands-on practice. 💻✨ #Java #CoreJava #ExceptionHandling #JavaDeveloper #SoftwareDevelopment #LearningJourney

Once someone asked me what happens if I generate a java object from type Object passing as a parameter the value null... There're two possibilities for creating an object from type null, using Optional.of(null) (which is going to thrown a NullPointerException) and Optional.ofNullable(null) (Which is going to create an empty Optional) It was an interesting question, so I thought it was a good idea to share with you.

5 Ways Java/.NET Integration Can Fail (And How to Avoid Them) ❌ Failure #1: Using REST for tight loops Every HTTP call adds 2-15ms. At 10,000 calls/sec, that's your bottleneck. ✅ Fix: In-process bridging eliminates network overhead entirely. ❌ Failure #2: Ignoring JVM memory in .NET processes The JVM needs its own heap allocation. Without -Xmx config, you'll hit OOM in production. ✅ Fix: Budget JVM heap separately from CLR memory. ❌ Failure #3: Rewriting Java code in C# A 200K-line Java library takes 12-18 months to rewrite — and introduces bugs. ✅ Fix: Bridge, don't rewrite. ❌ Failure #4: No classpath management Missing transitive dependencies = runtime ClassNotFoundException. ✅ Fix: Use jdeps to map your full dependency tree before deployment. ❌ Failure #5: Thread safety assumptions Java threading ≠ .NET threading. Shared objects need explicit synchronization. ✅ Fix: Use lock (C#) blocks for cross-runtime objects. We've spent 25 years helping enterprises avoid these pitfalls. Download a free evaluation → jnbridge.com/download #JavaDotNet #EnterpriseIntegration #SoftwareArchitecture

One of these is illegal Java code: A) char a = '\u000a'; B) var b = '\u000b'; C) CharSequence c = "\u000c"; D) String d = "\\u000d"; Which one is it and why? #Java #CoreJava #JavaPuzzle #JavaChallenge #CodeTrivia #TrickyQuestion #JobInterviews

🔥 DAY 17 – Cleaner Java with Streams Java Streams make collection handling elegant. Example: List<String> names = users.stream() .map(User::getName) .collect(Collectors.toList()); Why use Streams? ✔ Less boilerplate ✔ Functional style ✔ Cleaner logic But don’t overuse it for complex logic. Readable > Fancy. #Java #CleanCode

One cool thing I just understood about the static members in Java.... Instance fields live inside objects, which means each object has its own copy. But Static fields, on the otherhand live in the class, and all objects(instance(s) of the class) share one copy. From the example below, So if I create a "firstEmployee" and "secondEmployee" objects, I won't be able to access the "counter" field from those objects. But I would be able to do it directly on the Employee class. I can access the counter and check how many employees have been created, which in this case, is two. So always remember that Static members belong to the class, not the objects of the class. They ideally don't have access to individual object data. Hope this distinction makes sense? #mikeTriesJava #java #springboot #backend

https://lnkd.in/dWiMj_Bx Java developers have complained about boilerplate for decades. Java 25’s compact source files aim to change that — making simple programs truly simple. A N M "Bazlur" Rahman explains what’s new. Curious if this improves your workflow? Read his article! #Java #Java25 #PatternMatching

Revisiting core Java 8 concepts that are still heavily used in real-world projects 👇⭐ 🔹 Lambda Expressions → Write less, do more🔹 Functional Interfaces → Single abstract method🔹 Stream API → Process collections efficiently🔹 Intermediate vs Terminal Operations🔹 Method References → Cleaner code🔹 Common Stream operations (map, filter, reduce)