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- Apache Flink® — Stateful Computations over Data Streams
Apache Flink ® Stateful Computations over Data Streams Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale
- Apache Flink Documentation
Apache Flink 是一个框架和分布式处理引擎，用于在无边界和有边界数据流上进行有状态的计算。 Flink 能在所有常见集群环境中运行，并能以内存速度和任意规模进行计算。
- Architecture - Apache Flink
Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale Here, we explain important aspects of Flink’s architecture Process Unbounded and Bounded
- 架构 - Apache Flink
Apache Flink 是什么？ # Apache Flink 是一个框架和分布式处理引擎，用于在无边界和有边界数据流上进行有状态的计算。Flink 能在所有常见集群环境中运行，并能以内存速度和任意规模进行计算。 接下来，我们来介绍一下 Flink 架构中的重要方面。
- Applications - Apache Flink
Apache Flink is a framework for stateful computations over unbounded and bounded data streams Flink provides multiple APIs at different levels of abstraction and offers dedicated libraries for common use cases Here, we present Flink’s easy-to-use and expressive APIs and libraries Building Blocks for Streaming Applications #
- Use Cases - Apache Flink
Apache Flink is an excellent choice to develop and run many different types of applications due to its extensive feature set Flink’s features include support for stream and batch processing, sophisticated state management, event-time processing semantics, and exactly-once consistency guarantees for state
- Getting Started - Apache Flink
With Flink; With Flink Kubernetes Operator; With Flink CDC; With Flink ML; With Flink Stateful Functions; Training Course; Documentation Flink 2 0 (stable) Flink 1 20 (LTS) Flink Master (snapshot) Kubernetes Operator 1 12 (latest) Kubernetes Operator Main (snapshot) CDC 3 4 (stable) CDC Master (snapshot) ML 2 3 (stable) ML Master (snapshot)
- Announcing the Release of Apache Flink 1. 20
In Flink 1 20, We introduced Materialized Tables abstraction in Flink SQL, a new table type designed to simplify both batch and stream data pipelines, while providing a consistent development experience Materialized tables are defined with a query and a data freshness specification
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