The Hidden Performance Killer: N+1 Query Problem The N+1 problem isn’t just a "junior mistake." I’ve seen it hidden in production systems at scale because it’s so easy to miss when you’re focused on making features work. #API #PerformanceOptimization #SoftwareEngineering, #SoftwareDevelopment, #Coding, #Programming, #BackendEngineering #Java #DatabaseOptimization #SpringBoot #CleanCode #WebDev #TechLearnings
N+1 Query Problem in Software Engineering
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#Day8 🚀 ThreadPoolExecutor — how thread pools really work *💡Most developers use Executors, but under the hood it’s powered by ThreadPoolExecutor. Understanding this changed how I design concurrent systems 👇 👉 Task handling flow: Create threads up to corePoolSize Then queue tasks If queue is full → create threads up to maxPoolSize If still full → apply rejection policy ThreadPoolExecutor executor = new ThreadPoolExecutor( 2, 4, 10, TimeUnit.SECONDS, new ArrayBlockingQueue<>(2) ); 💡 Key insight: Unbounded queues can cause memory issues — always design thread pools carefully. #Java #Multithreading #Learning #Concurrency #JavaDeveloper #Threads101 #Coding #InterviewPreparation
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Solving LeetCode Problem | Day 6 • Problem: Reverse Linked List | LeetCode 206 • Approach: Used an iterative approach with three pointers: prev, curr, and next. Started from the head and reversed the direction of each node one by one by updating links: Stored next node Reversed current node’s pointer Moved all pointers forward This continues until the list is fully reversed, and prev becomes the new head. Key Insight: The tricky part is not losing the next node while reversing links. If you mess that up, the list is gone. • Time Complexity: O(n) • Space Complexity: O(1) #leetcode #dsa #algorithms #datastructures #coding #programming #java #linkedlist #problemsolving #tech #softwareengineering #developer #100daysofcode
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🎯 Prefix Sum felt trivial at first, until I realized how much time I was wasting without it. I used to compute subarray sums again and again inside loops. That’s when it clicked: Why recompute something I’ve already seen? Prefix sum is just storing cumulative work: prefix[i] = sum of everything before i Now any range sum becomes: prefix[r] - prefix[l-1] What changed for me wasn’t the formula, it was the mindset: Turn repeated computation into a constant-time lookup. This idea shows up everywhere: subarray problems range queries even in disguised forms like “running totals” It’s one of those simple tools that quietly turns O(n²) into O(n). Easy to learn, but surprisingly powerful when you start spotting where to use it. #SoftwareDevelopment #SoftwareEngineering #TechCommunity #CodingLife #Developers #Programming #TechCareers #CleanCode #AgileDevelopment #DevCommunity #TalentAcquisition #TechHiring #HiringDevelopers #BackendDevelopment #Java #JavaDeveloper #JavaProgramming #JavaCommunity #JavaTech #SpringBoot #Microservices #BackendEngineering #JVM
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🧠 Real Microservices Use Case 👉 Service A calls Service B ❌ RestTemplate Thread waits → poor scalability ✅ WebClient Async call → handles more requests ⚙️ Production Best Practices With WebClient: Use connection pooling Add timeout Handle retries Add Resilience (Important) Combine with: Retry Circuit Breaker (using Resilience4j) #Java #JavaDeveloper #SpringBoot #Microservices #WebClient #RestTemplate #BackendDevelopment #SoftwareEngineering #SystemDesign #TechInterview #Programming #Developers #Coding #CloudComputing
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Every developer has heard this at least once… 😅 Manager: "It’s just a small change, should take 10 minutes." Reality: "It depends… on how many things it breaks." This is what people don’t see behind the scenes of development. One small change = unexpected bugs, broken flows, and hours of debugging. If you know, you know 👀 #DeveloperLife #Coding #Backend #Java #SoftwareDevelopment #Relatable
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When you read good code, you learn: How to structure logic How to name things properly How experienced developers think Lately, I’ve been spending more time understanding existing codebases instead of just building from scratch. Because in real-world projects, you don’t always start fresh — you improve what already exists. #Developers #Programming #CleanCode #Java #Learning #SoftwareEngineering #Growth
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• Solving Leetcode Problem | Day 5 • Problem: Middle of the Linked List | Leetcode 876 • Approach: I used the slow and fast pointer technique (often associated with Floyd’s algorithm). The fast pointer moves two steps at a time, while the slow pointer moves one step. By the time the fast pointer reaches the end of the linked list (null), the slow pointer will be at the middle node. • Time Complexity: O(n) • Space Complexity: O(1) #leetcode #dsa #algorithms #datastructures #coding #programming #java #linkedlist #problemsolving #tech #softwareengineering #developer #100daysofcode
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🚀 Day 568 of #750DaysOfCode 🚀 🔍 Problem Solved: Two Furthest Houses With Different Colors Today’s problem looked simple at first, but it had a nice twist that tested observation skills more than brute force thinking. 💡 Key Insight: To maximize the distance between two houses with different colors, we don’t need to check all pairs. The answer will always involve either: the first house, or the last house Why? Because the maximum distance comes from the edges of the array. ⚡ Approach: Compare every house with the first and last house If colors are different → calculate distance Keep track of the maximum distance 🧠 Optimization: Instead of an O(n²) brute-force approach, we can solve this in O(n) time with constant space. 📈 Complexity: Time: O(n) Space: O(1) ✨ Takeaway: Sometimes the best solution isn’t about trying everything — it’s about spotting the right pattern. #LeetCode #Java #DSA #CodingJourney #ProblemSolving #100DaysOfCode #Programming #Tech #LearningEveryday
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🚀 Code 2 – #50LeetCodeChallenge Problem: "Longest Common Prefix" Given an array of strings, find the longest common prefix shared among all strings. If no common prefix exists, return an empty string "". 💡 Approach: Start with the first string as the prefix and compare it with the remaining strings. Gradually reduce the prefix until it matches the beginning of each string. 📚 Key Takeaway: String comparison and iterative reduction help efficiently solve prefix-based problems with optimal performance. #LeetCode #Java #Coding #ProblemSolving #Strings #Programming
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Check out this comprehensive breakdown of the new features in Java 26, including detailed examples for each JEP. Read the full guide here: https://lnkd.in/gs3Mz9Sa What features are you most excited about? Let's discuss in the comments! 👇 #Java #Java26 #SoftwareDevelopment #Programming #Coding #JavaTechOnline #BackendDevelopment #JDK26 #SoftwareArchitecture #TechnologyTrends
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