In Spark, what is the role of the DAG Scheduler in task execution?
- Dependency Analysis
- Job Planning
- Stage Execution
- Task Scheduling
The DAG Scheduler in Spark plays a crucial role in task execution by performing dependency analysis. It organizes tasks into stages based on their dependencies, optimizing the execution order and minimizing data shuffling. This is essential for efficient and parallel execution of tasks in Spark.
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