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What are the common Transformations in Apache Spark?

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Some of the common transformations in Apache Spark are as follows:

1. Map(func): This is a basic transformation that returns a new dataset by passing each element of input dataset through func function.


2. Filter(func): This transformation returns a new dataset of elements that return true for func  function. It is used to filter elements in a dataset based on criteria in func function.

3. Union(other Dataset): This is used to combine a dataset with another dataset to form a union of two datasets.

4. Intersection(other Dataset): This

transformation gives the elements common to two datasets.


5. Pipe(command, [envVars]): This transformation passes each partition of the dataset through a shell command.


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