What is Apache Flink?

 



Apache Flink is an open source stream processing framework with powerful stream and batch-processing capabilities designed to handle high-level stream processing operations. It can handle high throughput and low latency data streams as well as complex event processing.

The framework is based on the "Data-Oriented Stream Processing" (DO-SP) model, which allows for efficient and scalable stream processing. Flink's core is a streaming dataflow engine that provides data streaming and event processing capabilities for applications. Flink also has a number of libraries for specific use cases such as machine learning and graph processing.

The framework consists of four main components: the DataStream API, the DataSet API, the Execution Environment, and the Runtime.

The DataStream API allows for the creation of stream processing programs that can be executed on a Flink cluster. The DataSet API allows for the creation of batch processing programs that can be executed on a Flink cluster. The Execution Environment is responsible for executing Flink programs on a Flink cluster. The Runtime is responsible for managing the execution of Flink programs on a Flink cluster.

Flink programs can be deployed on a Flink cluster using the Deployment API. The Monitoring API allows for the monitoring of Flink programs.

Flink is a member of the Apache Software Foundation and is released under the Apache License. Find more information at : https://flink.apache.org/


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