这本书是市面上第一本系统介绍Apache Flink的图书，书中介绍了为什么选择Apache Flink、流系统架构设计、Flink能做些什么、Flink中是怎么处理时间的、Flink的状态计算等。全书共6章，一共110页。由O'Reilly出版社于2016年10月出版。

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本书的章节

Chapter 1 Why Apache Flink?
Chapter 2 Stream-First Architecture
Chapter 3 What Flink Does
Chapter 4 Handling Time
Chapter 5 Stateful Computation
Chapter 6 Batch Is a Special Case of Streaming

详细目录

Chapter 1 Why Apache Flink?
　　Consequences of Not Doing Streaming Well
　　Goals for Processing Continuous Event Data
　　Evolution of Stream Processing Technologies
　　First Look at Apache Flink
　　Flink in Production
　　Where Flink Fits
Chapter 2 Stream-First Architecture
　　Traditional Architecture versus Streaming Architecture
　　Message Transport and Message Processing
　　The Transport Layer: Ideal Capabilities
　　Streaming Data for a Microservices Architecture
　　Beyond Real-Time Applications
　　Geo-Distributed Replication of Streams
Chapter 3 What Flink Does
　　Different Types of Correctness
　　Hierarchical Use Cases: Adopting Flink in Stages
Chapter 4 Handling Time
　　Counting with Batch and Lambda Architectures
　　Counting with Streaming Architecture
　　Notions of Time
　　Windows
　　Time Travel
　　Watermarks
　　A Real-World Example: Kappa Architecture at Ericsson
Chapter 5 Stateful Computation
　　Notions of Consistency
　　Flink Checkpoints: Guaranteeing Exactly Once
　　Savepoints: Versioning State
　　End-to-End Consistency and the Stream Processor as a Database
　　Flink Performance: the Yahoo! Streaming Benchmark
　　Conclusion
Chapter 6 Batch Is a Special Case of Streaming
　　Batch Processing Technology
　　Case Study: Flink as a Batch Processor
Appendix Additional Resources
　　Going Further with Apache Flink
　　Selected O’Reilly Publications by Ted Dunning and Ellen Friedman

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