Spark Tutorial :Pair RDD || KeyValue pair RDD || Distributed RDD

Spark Tutorial :Pair RDD || KeyValue pair RDD || Distributed RDD

Key value pair RDDs, or simply pair RDDs, contain records consisting of keys and values.



key is the identifier, whereas value is the data corresponding to the key value.



To qualify as a key/value pair RDD, each row must consist of a tuple where the first element represents the key and the second element represents the value.



The type of both key and value can be a simple type such as an integer or string or can be a complex type such as an object or a collection of values or another tuple.



Spark provides special operations on RDDs containing key/value pairs. Such as, distributed “shuffle” operations, grouping or aggregating the elements by a key.



Pair RDDs are a useful building block in many programs, as they expose operations that allow you to act on each key in parallel or regroup data across the network.



The pair RDD comes with a set of APIs to allow you to perform general operations around the key such as grouping, aggregation, and joining.

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