Apache Flink Architecture - Part 2

Опубликовано: 30 Сентябрь 2024
на канале: Big Data Landscape
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recap:

Flink Components: Flink comprises a Job Manager and multiple Task Managers.

Job Manager's Role: The Job Manager oversees the execution of a single application. It takes an application, creates a Task Execution Graph from the specified Job Graph, and handles job submission and lifecycle management. It also delegates work allocation to Task Managers.

Resource Manager: The Resource Manager manages Task Slots and utilizes an underlying orchestrator, such as Kubernetes or Yarn. Each Task slot represents a unit of work executed on a CPU.

Task Managers: Task Managers execute the actual stream processing logic. In a cluster, there are multiple Task Managers, and the number of slots on each TaskManager determines how many tasks it can execute. TaskManagers register their slots with the ResourceManager once they are started.

Dispatcher: The Dispatcher provides an API for submitting applications for execution and hosts the user interface.

Concurrency: Notably, only one Job Manager is active at a given point in time, while there can be n Task Managers available in the cluster."


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