Buffering & Performance Optimization in Java

Day 13 of Java I/O Journey Today I learned about Buffering & Performance Optimization in Java ⚡ 🔹 Unbuffered I/O • Processes data byte by byte • Slower due to frequent disk access 🔹 Buffered I/O • Processes data in chunks using a buffer • Faster and more efficient • Reduces disk operations 🔹 Important Classes • BufferedReader → Efficient reading (line by line) • BufferedInputStream → Efficient binary data handling 🔹 Key Learnings ✔ Use buffering to improve performance ✔ Optimize buffer size based on use case (4KB / 8KB common) ✔ Always close streams to free resources 💡 Small optimization like buffering can create a big impact on performance. From writing code → to writing efficient code ⚡ How do you optimize I/O performance in your projects? #Java #JavaIO #Programming #Coding #SoftwareDevelopment #Developers #LearningInPublic #100DaysOfCode #CodingJourney #JavaDeveloper #BackendDevelopment #TechSkills #Hariom #HariomKumar #Hariomcse

  • "A vertical educational infographic for Day 13 of Java I/O with a clean white background and colorful diagrams. The image explains buffering and performance optimization in Java by comparing unbuffered and buffered I/O. It highlights that unbuffered I/O processes data byte by byte and is slower, while buffered I/O processes data in chunks for better performance. It includes key classes like BufferedReader and BufferedInputStream, a sample code snippet, and best practices such as reducing I/O operations, optimizing buffer size, and properly closing streams."

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