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Explain transformation and action in RDD in Apache Spark?
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Answer / Pratibha Gangwar
In Apache Spark, transformations are operations that create a new RDD from an existing one without executing the computation immediately. Examples of transformations include map(), filter(), reduce(), join(), groupByKey(), and sortBy(). Actions, on the other hand, trigger the execution of previously defined transformations and produce a result in the driver program. Examples of actions are count(), collect(), saveAsTextFile(), and foreach(). Transformations in Spark are lazy evaluations, while actions are eager evaluations.
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