This article explains the core principles of Hessian, a Java‑optimized binary serialization protocol, covering object graph traversal, encoding formats, data‑block tags, repeated‑object reuse, small‑integer inlining, and integer compression, and shows why it offers higher efficiency and compression than text‑based alternatives.
The article explains serialization and deserialization fundamentals, highlights pitfalls such as ambiguous binary streams and platform‑dependent field sizes, then compares Java’s native ObjectOutputStream, JSON libraries, Hessian binary RPC, and Google’s Protobuf, guiding readers to select the appropriate format based on performance, payload size, and type‑safety needs.
This article explains five common serialization techniques—Java native serialization, Hessian, JSON, Google Protobuf, and Kryo—detailing their principles, performance characteristics, code examples, and when to choose each for Java backend systems.
Fury is a JIT‑compiled, multi‑language native serialization framework that fully implements JDK custom serialization, delivering 20‑200× speed improvements over JDK, Hessian, and Kryo, while preserving compatibility across Java, Python, Go, C++, and JavaScript, as demonstrated by detailed protocol analysis and performance benchmarks.
This article examines the reasons for using serialization, compares three serialization protocols (JDK built‑in, Fastjson, and Hessian) with performance metrics, and provides a detailed Hessian serialization implementation, including class definitions, test results, hex analysis, and troubleshooting of common issues.
This article explains the concepts and usage of three Java RPC frameworks—RMI, Hessian, and Dubbo—detailing their serialization methods, transport protocols, and service registration mechanisms, and provides complete code samples for interface definition, service implementation, client, and server setup.
The article explains how Java 8 parallel streams in Tomcat containers trigger class‑loading failures because ForkJoinWorkerThreads inherit a null context class loader after Tomcat 7.0.74 introduced SafeForkJoinWorkerThreadFactory, leading to deserialization errors and memory‑leak risks, and recommends avoiding dynamic class loading or using custom thread pools.
This article explains the concept of RPC in Java, compares three popular frameworks—RMI, Hessian, and Dubbo—describes their architectures, and provides complete code samples for interfaces, service implementations, clients, and servers to help developers build scalable distributed applications.
