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Why is Transformation lazy in Spark?
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Answer / Romi Awasthi
Transformations are lazy in Spark to optimize resource utilization. When a transformation is called, it doesn't immediately execute the action on all data; instead, it creates a logical plan outlining the steps required to process the data. The physical execution starts only when an action like collect(), count(), or save() is triggered.
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