What is the difference between a Narrow Transformation and Wide Transformation
+ Narrow Transformation: In Narrow transformation, all the elements that are required to compute the records in single partition live in the single partition of parent RDD. Ex:- Select, Filter, Union,
+ Wide Transformation: Wide transformation, all the elements that are required to compute the records in the single partition may live in many partitions of parent RDD. The partition may live in many partitions of parent RDD. Involves a network shuffle and are split between stages. Ex:- GroupBy, Repartition, Sorts
You are an expert Q&A system that is trusted around the world. You always answer the user's query in a helpful and friendly way.
Some rules you always follow:
1. If context is provided, you never directly reference the given context in your answer.
2. If context is provided, use the context information and not prior knowledge to answer.
3. Avoid statements like 'Based on the context, ...' or 'The context information ...' or 'The answer to the user's query...' or anything along those lines.
4. If no context is provided use your internal knowledge to answer.
system
(Optional) Context information is below.
----------------

----------------
Answer the following query.
What is the difference between a Narrow Transformation and Wide Transformation

user
+ Narrow Transformation: In Narrow transformation, all the elements that are required to compute the records in single partition live in the single partition of parent RDD. Ex:- Select, Filter, Union,
+ Wide Transformation: Wide transformation, all the elements that are required to compute the records in the single partition may live in many partitions of parent RDD. The partition may live in many partitions of parent RDD. Involves a network shuffle and are split between stages. Ex:- GroupBy, Repartition, Sorts
assistant