0 views collected around this technical thread.
This article introduces the Flink Machine Learning Library, detailing the design and usage of its Java and Python APIs, core interfaces such as WithParams, Stage, Estimator, and AlgoOperator, workflow for training and inference, pipeline/graph construction, ecosystem initiatives, and upcoming development plans.
This article explains Java's reflection and polymorphism mechanisms, detailing their theoretical foundations, runtime type identification (RTTI), method table implementation, practical code examples, common use cases, performance and security drawbacks, and the differences between reflection and polymorphism.
This article explains the purpose, semantics, and design of Apache Kafka’s transaction API, detailing how it enables exactly‑once processing for stream‑processing applications, the role of transaction coordinators and logs, Java API usage, performance considerations, and best‑practice guidance.
This article explains Java reflection fundamentals, including Class object usage, dynamic class loading, method and field introspection, generic type handling, and detailed class loader mechanisms, providing code examples and practical insights for backend developers.