0 views collected around this technical thread.
This article shares a ByteDance interview experience and provides detailed technical explanations on Java thread pools, Redis internals, message queue usage, computer networking processes, HTTP/HTTPS differences, and a sample algorithm problem, offering valuable insights for backend developers.
This article introduces eight common Java asynchronous implementation techniques—including raw threads, Future, CompletableFuture, Spring @Async, ApplicationEvent, message queues, third‑party utilities like Hutool ThreadUtil and Guava ListenableFuture—explaining their usage, code examples, advantages, and drawbacks for improving performance in scenarios such as sending SMS or emails.
This article introduces eight common Java asynchronous implementation techniques—including raw threads, thread pools, Future, CompletableFuture, Spring @Async, ApplicationEvent, message queues, ThreadUtil, and Guava ListenableFuture—explains their use cases, advantages, and limitations, and provides concrete code examples for each method.
This article explains how Redisson's DelayedQueue implements a distributed delayed message queue, covering basic usage, internal data structures, the overall processing flow, and detailed code analysis of sending, receiving, and initializing delayed messages in Java.
This article explains when adding consumers to a RocketMQ topic improves message consumption, the reasons for consumer pull delays, and details six MessageQueue allocation strategies—including average, round‑robin, custom, machine‑room, nearby, and consistent‑hash—accompanied by code examples.
This article presents eight practical ways to implement retry mechanisms for third‑party API calls in Java, covering simple loops, recursion, built‑in HttpClient handlers, Spring Retry, Resilience4j, custom utilities, asynchronous thread‑pool retries, and message‑queue based retries, plus best‑practice guidelines.
The article explains when adding consumers can reduce RocketMQ backlog, the reasons for delayed message pulling, handling slow external services, and details six different MessageQueue allocation strategies—including average, round‑robin, custom, machine‑room, nearby, and consistent‑hash—accompanied by Java code examples.
This article introduces the concept of asynchronous execution and presents eight practical Java implementations—including Thread, Future, CompletableFuture, Spring @Async, ApplicationEvent, message queues, ThreadUtil, and Guava ListenableFuture—along with code examples and usage tips for each method.
This article presents a complete Netty‑based TCP demo for IoT projects, detailing the project background, architecture, module layout, business flow, and in‑depth Java code examples—including a local queue, multithreaded processing, client creation, Redis locking, and SpringBoot integration—along with testing instructions and source links.
This article presents a complete Netty‑based TCP client/server demo for IoT long‑connection messaging, explains the project architecture, module layout, business flow, and provides detailed Java code for a local message queue, multithreaded processing, client creation, handler logic, and testing endpoints.
This article introduces the high‑performance Disruptor library, explains its background, core concepts such as RingBuffer, Sequence, Sequencer, and WaitStrategy, and provides a step‑by‑step Java implementation with Maven dependencies, event factories, handlers, producers, and a runnable test case.
This extensive guide covers Redis fundamentals, data structures, persistence mechanisms, clustering, sentinel high‑availability, performance tuning, common pitfalls, and practical use‑case implementations, providing detailed answers and code examples for interview preparation and real‑world development.
This article presents a comprehensive guide to using Redis for caching, distributed data sharing, distributed locks, global IDs, counters, rate limiting, bitmap statistics, shopping carts, timelines, message queues, lotteries, likes, product tagging, filtering, follow relationships, and ranking, complete with code examples.
This article outlines a variety of practical Redis use cases—including caching, distributed sessions, locks, global IDs, counters, rate limiting, bitmap statistics, shopping carts, timelines, message queues, lotteries, likes, product tagging, filtering, follow/recommendation models, and ranking—demonstrating how Redis can support diverse backend functionalities.
The article explains that an infinite View animation continuously posts invalidate messages to the MessageQueue, preventing the idle handler from running and causing the Activity's onStop and onDestroy callbacks, scheduled with a 10‑second idle timeout, to be delayed until the queue becomes idle.
The article dissects Android’s Handler‑Looper‑MessageQueue architecture, explaining ThreadLocal‑based Looper binding, various Handler constructors, async versus sync messages, barrier handling, IdleHandler, HandlerThread and IntentService usage, and the differences between Handler.post and View.post for responsive UI development.
This article explains how Android drives applications through a message‑driven model by detailing the roles of Message, MessageQueue, Looper, Handler, and ThreadLocal, and walks through the native implementation of ActivityThread's main loop, including prepareMainLooper, MessageQueue initialization, epoll integration, and the polling mechanisms that power the message processing cycle.
This guide walks through setting up a RocketMQ server using Docker Compose, configuring the necessary broker and name server files, and then demonstrates how to quickly start the services and integrate RocketMQ with Spring Boot via the rocketmq‑spring‑boot‑starter, including full code examples.
This article explains the design and implementation of Android's Handler mechanism, detailing how Handlers, Messages, MessageQueue, and Looper work together to enable thread communication, avoid memory leaks, and manage message sending, queuing, and processing, with source code examples and best practices.