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This article presents NetEase Game's streaming ETL solution built on Flink, covering business background, log characteristics, specialized and generic ETL services, architectural evolution, Python UDF integration, runtime optimizations, fault‑tolerance mechanisms, and future roadmap for unified real‑time and offline data warehouses.
Apache Flink 1.11.0 introduces a suite of major enhancements—including unaligned checkpoints, a unified source interface, CDC support in Table API/SQL, performance‑boosted PyFlink, a new application deployment mode, and numerous UI, Docker, and catalog improvements—aimed at increasing usability, scalability, and integration across streaming and batch workloads.
The article provides a comprehensive overview of Apache Flink 1.11, detailing enhancements in cluster deployment, resource management, source/sink APIs, state backends, Table & SQL improvements, DataStream extensions, PyFlink/ML support, and runtime optimizations, along with relevant code examples and references.