Comprehensive Collection of Apache Flink Learning Resources
This article compiles a curated list of the most reliable and official Apache Flink learning materials—including beginner tutorials, source‑code walkthroughs, advanced topics, community articles, real‑world case studies, and downloadable resources—providing a one‑stop reference for developers and researchers interested in stream processing and big‑data analytics.
The page gathers a comprehensive set of high‑quality Apache Flink resources for developers and researchers, organized into several thematic series.
Flink Zero‑Basis Entry Series
Flink入门
Flink DataSet & DataStream API
Flink集群部署
Flink重启策略
Flink中的Time、窗口、时间戳和水印
Flink广播变量、Flink‑Kafka‑connector
Flink实战项目‑热销排行、Flink‑Redis‑Sink、Flink消费Kafka写入Mysql
Flink Source Code Reading Series
《Flink组件和逻辑计划》
《Flink执行计划生成》
JobManager基本组件（1‑4）
TaskManager、算子、网络
WaterMark、CheckPoint、任务调度及负载均衡、异常处理
Flink Advanced Topics Series
《FaultTolerance》
《流表对偶(duality)性》
《持续查询(ContinuousQueries)》
《DataStream‑Connectors之Kafka》
《SQL概览》、《JOIN算子》、《JOIN‑LATERAL》、《Temporal‑Table‑JOIN》、《State》
《FlinkSQL中的回退更新‑Retraction》
《Apache Flink结合Apache Kafka实现端到端的一致性语义》
《Flink1.8.0发布！新功能抢先看》、《Flink1.8.0重大更新‑State自动清除》
《Flink在滴滴出行的应用与实践》、《批流统一计算引擎的动力源泉‑Shuffle机制重构与优化》
Community and Case Study Articles
《分布式流处理框架：功能对比和性能评估》
《Apache Flink‑Blink计算引擎》
《Flink原理与实现》系列（内存管理、架构、Session Window、资源管理、Window机制、反压处理）
《OPPO数据中台‑基于Flink SQL构建实时数据仓库》
《快手‑日均处理万亿数据的Flink实践》
《小红书‑高效推荐系统背后的大数据平台》、《知乎‑实时数仓架构演进》、《58集团‑Storm迁移至Flink》、《腾讯‑实时流计算平台演进》、《菜鸟‑物流场景Flink实践》、《Flink‑Kafka性能压测全记录》、《基于Flink构建实时数据仓库》
Ververica Resource Series
Apache Flink – 重新定义计算
Spark VS Flink 大数据计算引擎对比（上下篇）
Flink实时计算性能分析、状态管理与容错机制、核心技术概览、Exactly‑Once处理、类型与序列化机制、SQL概览、流式SQL回顾、从零构建Flink应用、统一数据处理引擎挑战与实践、Flink与Storm性能对比、Shuffle机制优化、在YARN/Kubernetes上原生部署等
多场Flask China Meetup、Flink Forward China 2018 分会场、资源下载（Meetup视频、社区专刊、钉钉直播教程等）
Overall, the collection serves as a valuable reference for anyone seeking to study, implement, or deepen their understanding of Apache Flink and its ecosystem.
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Big Data Technology & Architecture
Wang Zhiwu, a big data expert, dedicated to sharing big data technology.
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