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GPU621/Apache Spark Fall 2022

78 bytes added, 04:45, 7 December 2022
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==Spark cluster mode==
 
===1. Local mode===
For local development and testing, it is usually divided into local single-thread and local-cluster multi-thread.
===5. Kubernetes cluster mode===
Running on the Kubernetes cluster manager, Kubernetes is responsible for resource management, and Spark is responsible for task scheduling and computing
 
==Spark Implementation==
===Work Flow Chart===
[[File:Cluster-Overview.jpg]]
 
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