This article introduces the high‑performance Disruptor library, explains its core concepts such as Ring Buffer, Sequence, and Wait Strategy, and provides a step‑by‑step Java demo—including Maven setup, event model, producer, consumer, and test—showcasing how to build a lock‑free in‑memory message queue.
This article provides a comprehensive guide to using Python's requests library for API testing, covering basic GET/POST requests, error handling, authentication, and concurrent requests with practical code examples.
This article introduces the LMAX Disruptor library, explains its core concepts such as Ring Buffer, Sequencer and Wait Strategy, and provides a step‑by‑step Java demo with full source code to build a fast, lock‑free in‑memory message queue.
The article explains how the Java Memory Model addresses concurrency challenges by defining visibility, ordering, and atomicity guarantees through mechanisms such as volatile, synchronized, cache coherence, memory barriers, CAS operations, and happens‑before relationships, enabling correct and portable multi‑threaded programming.
This article explores three Python coroutine libraries - asyncio, gevent, and trio - providing 10 practical code examples demonstrating their use in asynchronous programming for tasks like IO operations, network requests, file handling, and more.
The article explains how HikariCP outperforms other JDBC pools by using bytecode‑generated proxies, a custom FastList, and a thread‑local ConcurrentBag, delivering superior speed, low resource use, and easy migration, making it the default high‑performance connection pool for Spring Boot 2.0.
