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learning-spark-streaming
Structured Streaming 是一个可拓展,容错的,基于Spark SQL执行引擎的流处理引擎。使用小量的静态数据模拟流处理。伴随流数据的到来,Spark SQL引擎会逐渐连续处理数据并且更新结果到最终的Table中。你可以在Spark SQL上引擎上使用DataSet/DataFrame API处理流数据的聚集,事件窗口,和流与批次的连接操作等。最后Structured Streaming 系统快速,稳定,端到端的恰好一次保证,支持容错的处理。
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building-data-streaming-applications-apache-kafka
... Deep Dive into Kafka Consumers
Chapter 5: Building Spark Streaming Applications with Kafka
Chapter 6: Building Storm Applications ... : Building ETL Pipelines Using Kafka
Chapter 9: Building Streaming Applications Using Kafka Streams
Chapter 10: Kafka Cluster ...
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Building Data Streaming Applications with Apache Kafka
... a comprehensive guide to designing and architecting enterprise-grade
streaming applications using Apache Kafka and other big data tools. ... second part of the book takes you
through designing streaming application using various frameworks and tools such as
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