Deep Dive: Internals of Spark Execution
Understand the internal components of Apache Spark execution, including driver programs, SparkContext, and worker nodes. This lesson covers the differences between standalone and cluster modes, how Spark applications are structured and executed in a cluster environment, and the flow from code initiation to job execution. Learn how Spark's architecture supports efficient big data processing in Java environments.
In previous lessons, we used diagrams to slowly introduce to the reader how the Spark components interact, and how execution flow for a Spark application falls into place.
This lesson expand on this by presenting a broader picture of the Spark Landscape in a typical but straightforward application’s execution. It also dives into two of ...