Sharing insights on technical analysis and exchange, making life better through technology.
This article explains why duplicate order requests occur, analyzes the idempotency challenges, and presents practical front‑end and Redis‑based solutions—including button disabling, SETNX locking, and token validation—to ensure only one successful order per user action.
This article explains the roles of access and refresh tokens, their lifecycle, and the step‑by‑step process by which a client obtains, uses, and renews tokens to maintain seamless authentication while enhancing security.
This guide explains the principle behind Git’s cherry-pick command, shows how to locate commit hashes, switch branches, execute the command, and highlights common scenarios such as urgent bug fixes, feature migration, and commit recovery, plus advanced options and cautions.
This article explains why a single Redis shard cannot handle extreme traffic, introduces multi‑level caching, and compares four practical methods—MQ synchronization, Redis Pub/Sub, version‑check, and automatic refresh—to keep local caches consistent under heavy load.
This article compares @Resource and @Autowired in the Spring framework, covering their origins, injection order, supported injection styles, and ideal usage scenarios to help developers choose the right annotation for loosely coupled, maintainable applications.
Mid‑platform (中台) architecture, inspired by Supercell’s rapid‑development model and popularized by Alibaba in 2015, evolved from a flexible business‑centric approach to a complex, sometimes cumbersome structure, offering reusable services but also introducing blurred responsibilities and scalability challenges for fast‑changing enterprises.
Serial execution runs tasks one after another, concurrency interleaves multiple tasks to appear simultaneous, and parallelism truly runs tasks at the same time on multiple cores, each offering distinct advantages and trade‑offs that affect efficiency, responsiveness, and programming complexity.
The article explains common scenarios that trigger frequent Full GC in Java, such as large object allocation, service timeouts, memory leaks, and old‑generation fragmentation, and offers insights on diagnosing and mitigating these issues to maintain application performance.
During peak travel periods, 12306 often displays available seats that cannot be booked, a problem caused by intricate inventory deduction across multiple travel segments, heavy caching strategies, and real‑time load pressures that lead to stale data and purchase failures.
With massive data growth, sharding databases introduces pagination challenges; this article explains the root cause of pagination issues in sharded environments, presents the global query method, its pros and cons, and introduces the no‑skip optimization to improve performance while maintaining data accuracy.
