Apache Spark, including PySpark, automatically optimizes job execution by breaking it down into stages and tasks based on data dependencies. This process is facilitated by Spark’s Directed Acyclic Graph (DAG) Scheduler, which helps in optimizing the execution plan for efficiency. Let’s break this down with a detailed example and accompanying numbers to illustrate the process. … Continue reading How PySpark automatically optimizes the job execution by breaking it down into stages and tasks based on data dependencies. can explain with an example