Explain About The Different Types Of Transformations On Dstreams?

1.	Explain About The Different Types Of Transformations On Dstreams?
Answer» Stateless Transformations:- Processing of the batch does not DEPEND on the output of the previous batch. Examples: MAP (), reduceByKey (), FILTER (). Stateful Transformations:- Processing of the batch depends on the INTERMEDIARY results of the previous batch. Examples: Transformations that depend on sliding windows. Stateless Transformations:- Processing of the batch does not depend on the output of the previous batch. Examples: map (), reduceByKey (), filter (). Stateful Transformations:- Processing of the batch depends on the intermediary results of the previous batch. Examples: Transformations that depend on sliding windows.

Answer»

Stateless Transformations:- Processing of the batch does not DEPEND on the output of the previous batch.

Examples: MAP (), reduceByKey (), FILTER ().

Stateful Transformations:- Processing of the batch depends on the INTERMEDIARY results of the previous batch.

Examples: Transformations that depend on sliding windows.

Stateless Transformations:- Processing of the batch does not depend on the output of the previous batch.

Examples: map (), reduceByKey (), filter ().

Stateful Transformations:- Processing of the batch depends on the intermediary results of the previous batch.

Examples: Transformations that depend on sliding windows.

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