Even when a consumer thread continues processing and logging normally, Kafka may still consider it dead and trigger a rebalance because the poll interval exceeds the configured timeout, a situation known as “fake dead”.
This article explains the concepts, advantages, limitations, and practical usage of Linux I/O multiplexing mechanisms—select, poll, and epoll—through analogies, detailed explanations, code examples, and common interview questions, helping developers choose the right tool for high‑concurrency network programming.
Linux treats all I/O devices as files, enabling a single thread to monitor many descriptors via I/O multiplexing; while select and poll use linear scans and suffer size limits, epoll employs an event‑driven red‑black tree with edge‑triggered mode, offering scalable, high‑performance handling for thousands of concurrent connections.
This article explains the Linux poll() system call, detailing its pollfd structure, event flags, parameters like nfds and timeout, return values, and step‑by‑step operation flow for reading and writing data, highlighting differences from select and its advantages on 32‑bit systems.
This article explains Linux file concepts, how file descriptors work, why simple blocking I/O fails at scale, and introduces I/O multiplexing techniques—including select, poll, and epoll—detailing their mechanisms, limitations, and practical code examples for high‑concurrency servers.
This article explains the evolution of I/O multiplexing in Java, covering the birth of multiplexing, the introduction of NIO with Selector, and detailed comparisons of select, poll, and epoll mechanisms, including their APIs, internal workings, and performance considerations for high‑concurrency network programming.
This article provides an in‑depth explanation of Linux I/O multiplexing models—including select, poll, and epoll—detailing their mechanisms, advantages, limitations, and practical C code examples, while also covering edge‑triggered vs level‑triggered behavior and offering a complete epoll server implementation.
A recent Go article sparked a lively poll and discussion about the reasonableness of Go's read‑write lock design, revealing surprising community opinions, common misconceptions, and deeper questions about reentrant locks, communication versus sharing, and Go's concurrency philosophy.
In this interview‑style tutorial, an Alibaba P7 engineer walks through the limitations of BIO, the non‑blocking NIO API, kernel‑level select/poll mechanisms, and the design of epoll, illustrating how each solves the C10K problem and how they are used in Java.
This article explains the differences between synchronous and asynchronous execution, blocking and non‑blocking operations, user and kernel space, process switching, file descriptors, cache I/O, and compares various I/O models—including blocking, non‑blocking, multiplexing, signal‑driven, and asynchronous—while highlighting the characteristics of select, poll, and epoll.
This article explains the drawbacks of traditional blocking network I/O, introduces non‑blocking reads, and walks through the evolution from multithreaded workarounds to kernel‑level multiplexing mechanisms such as select, poll, and epoll, showing code examples and performance considerations.
This article compares Linux's select, poll, and epoll mechanisms, explaining their internal workings, limitations such as FD_SETSIZE and linear scanning, and why epoll's event‑driven design offers superior scalability and performance for high‑concurrency network servers.
This article explains the fundamentals of blocking and non‑blocking I/O, compares select, poll, and epoll mechanisms, introduces the Reactor model and its variants, and shows how to solve the C10K problem with processes, threads, thread pools, and event‑driven architectures, complete with code examples.
This article compares the three I/O multiplexing mechanisms—select, poll, and epoll—by analyzing their time complexities, limitations, trigger modes, performance characteristics, and implementation details, helping developers choose the most suitable method for different Linux networking scenarios.
This article compares the three I/O multiplexing mechanisms—select, poll, and epoll—detailing their time‑complexities, limitations, implementation details, trigger modes, and performance trade‑offs to help developers choose the most suitable method for different Linux networking scenarios.
This article explains the Linux kernel's wait‑queue mechanism, the sleep and wake‑up logic behind socket events, and how the IO‑multiplexing models select, poll, and epoll are implemented, including their core code paths, performance trade‑offs, and edge versus level triggering.
This article explains the concepts of blocking and non‑blocking I/O in Linux device drivers, compares their implementations, demonstrates how select and poll are used for asynchronous access, and provides sample driver code illustrating both approaches.
