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Answer Posted / Mahendra Singh Kotwal
A transformation on an RDD in Apache Spark creates a new logical plan without executing the operations immediately. It returns a new RDD with the transformed data and does not trigger any physical data processing until an action is called. Examples of transformations include map(), filter(), join(). An action, on the other hand, triggers the execution of the entire logical plan and generates a physical result such as collect(), count(), saveAsTextFile(). Transformations allow users to chain multiple operations together without executing them immediately, while actions force the computation to be executed.
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