Paired RDD (Resilient Distributed Datasets) is a type of RDD used for handl

Explain the term paired RDD in Apache Spark?

Question Posted / Hirawan Lal

1 Answers
422 Views
I also Faced
E-Mail Answers

Answer Posted / Hirawan Lal

Paired RDD (Resilient Distributed Datasets) is a type of RDD used for handling data with associated keys and values in Apache Spark. A paired RDD consists of two sets of data – one set contains the keys, while the other set contains the corresponding values.nnFor example, if we have a dataset of employee information, the keys could be the employee IDs, and the values could be the employee attributes like name, age, and salary. Paired RDDs are useful for operations that require joining data on keys.

Is This Answer Correct ?

0 Yes

0 No

Post New Answer View All Answers

Please Help Members By Posting Answers For Below Questions

Explain how RDDs work with Scala in Spark

355

What is meant by Transformation? Give some examples.

328

What is the latest version of spark?

288

List the advantage of Parquet file in Apache Spark?

474