Python Data Science Jobs & Interviews
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Your go-to hub for Python and Data Science—featuring questions, answers, quizzes, and interview tips to sharpen your skills and boost your career in the data-driven world.

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⁉️ Interview question
What happens when you use os.fdopen() to wrap a file descriptor that was opened with O_DIRECT flag on a Linux system, and then attempt to read or write using Python’s buffered I/O? How does this affect data consistency and performance?

When a file descriptor opened with `O_DIRECT` is wrapped by `os.fdopen()`, Python’s buffered I/O may interfere with the direct I/O semantics because it uses its own internal buffer. This can lead to data being copied through the kernel’s page cache, effectively bypassing the `O_DIRECT` requirement for direct memory-to-disk transfers. As a result, performance gains from `O_DIRECT` are lost, and data consistency may be compromised if the buffer isn’t flushed properly. Additionally, misaligned memory access due to Python’s buffering can cause crashes or undefined behavior.

#️⃣ tags: #Python #AdvancedPython #FileHandling #OS #Linux #O_DIRECT #BufferedIO #SystemCalls #Performance #DataConsistency #LowLevelProgramming

By: t.iss.one/DataScienceQ 🚀