This article explores five practical lock-based approaches—including database primary keys, pessimistic and optimistic locks, state machines, and distributed locks—to achieve reliable API idempotency in distributed systems, highlighting implementation details, trade‑offs, and code examples.
The article explains how Java's synchronized keyword works only within a single JVM, why it fails to provide mutual exclusion across multiple processes in distributed systems, and presents alternative distributed locking mechanisms such as database locks and Redis-based locks with code examples.
This article demonstrates how to simulate a high‑concurrency flash‑sale scenario using SpringBoot, MySQL and JMeter, analyzes why naive lock‑and‑transaction code causes overselling, and presents six refined solutions—including controller‑level locking, AOP locking, pessimistic and optimistic database locks, and queue‑based approaches—along with performance test results.
This article explains the concepts, designs, and practical implementations of distributed locks using databases, Redis, and Zookeeper, compares their advantages and drawbacks, and provides code examples and best‑practice recommendations for reliable concurrency control in distributed systems.
Facing a sudden MySQL table lock? This guide walks through real‑world troubleshooting steps—from checking table usage and process lists to inspecting InnoDB transaction and lock tables, identifying lock‑wait relationships, and safely killing offending sessions, while also explaining lock types and common metadata‑lock scenarios.
This article explains the necessity of distributed locks in multi‑node applications, outlines the essential properties a distributed lock must satisfy, and compares three common implementation methods—database‑based exclusive locks, Redis‑based locks, and Zookeeper‑based locks—highlighting their advantages, drawbacks, and usage patterns.
This article examines the evolution of distributed locking—from simple MySQL table locks to Redis cache locks and the Redlock algorithm—highlighting their limitations, expert criticisms, and why Zookeeper often provides a more reliable solution for high‑availability systems.
