Describe a scenario where efficiently handling file I/O operations in Go is critical and explain how you would optimize file operations in such a scenario.
- In a high-throughput web server, serving large static files efficiently.
- In a batch processing application, reading and processing millions of small files.
- In a simple command-line tool that performs occasional file operations.
- In a real-time chat application that relies on network I/O.
Efficiently handling file I/O operations in Go is critical when dealing with a batch processing application that needs to read and process millions of small files. To optimize file operations in such a scenario, you can use techniques like parallelism and buffering. By reading multiple files concurrently and using buffered I/O, you can significantly reduce the overall processing time. This approach takes advantage of Go's ability to handle concurrency efficiently, making it a suitable choice for such demanding scenarios.
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