Buffered I/O
Buffered I/O is a programming technique that uses an intermediate memory buffer to temporarily store data during input/output operations, improving performance by reducing the number of direct system calls to the underlying storage or network. It works by accumulating data in a buffer until it reaches a certain size or condition before performing the actual read or write, which is more efficient than handling data byte-by-byte. This concept is implemented in various programming languages and libraries to optimize file handling, network communication, and other I/O-intensive tasks.
Developers should use buffered I/O when dealing with frequent small I/O operations, such as reading/writing files, network streams, or console input/output, as it significantly reduces overhead and improves throughput by batching operations. It is particularly valuable in high-performance applications, data processing pipelines, and systems where I/O latency is a bottleneck, as it minimizes context switches and system call overhead. Learning this concept is essential for writing efficient, scalable code in languages like Java, Python, C++, and others that offer built-in buffered I/O support.