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Concrete code examples of complex stream processing patterns.
Distinct from Stream Analytics Processing: Distinct from Stream Analytics Processing by providing a library of a variety of a real-world implementation patterns.
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Awesome Reference Implementations GitHub Repositories
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- zhisheng17/flink-learning
zhisheng17/flink-learning
15,071在 GitHub 上查看This project is a collection of educational resources and reference implementations for the Apache Flink stream processing framework. It provides a learning resource focused on mastering distributed stream processing through implementation guides, performance tuning tutorials, and practical examples. The repository features detailed walkthroughs for building real-time data pipelines using the DataStream and Table APIs. It includes specific integration examples for connecting Apache Flink with Kafka brokers and Elasticsearch indices, as well as reference implementations for real-time deduplica
Implements reference examples for real-time deduplication, windowed aggregations, and fault-tolerant state management.
Javaclickhouseelasticsearchflink
