How to create a map from a RDD[String] using scala?
stackoverflow.com › questions › 26863173Nov 26, 2014 · If it doesn't support transpose then another solution may be best (swap however is about the elements in the RDD, and not the RDD itself so that should be usable since RDD does support map?). Or write your own transpose (it's five map operations, one for each index, which should paralleize nicely) - but in that case you could add things to the set in each map as you go, saving some time.
Spark RDD Tutorial | Learn with Scala Examples
sparkbyexamples.com › spark-rdd-tutorialThis Apache Spark RDD Tutorial will help you start understanding and using Spark RDD (Resilient Distributed Dataset) with Scala. All RDD examples provided in this Tutorial were tested in our development environment and are available at GitHub spark scala examples project for quick reference. By the end of the tutorial, you will learn What is Spark RDD, its advantages, and limitations, creating an RDD, applying transformations, and actions, and operate on pair RDD using Scala and Pyspark ...
Spark map() Transformation - Spark By {Examples}
sparkbyexamples.com › spark › spark-map-transformationAug 22, 2020 · Spark map () is a transformation operation that is used to apply the transformation on every element of RDD, DataFrame, and Dataset and finally returns a new RDD/Dataset respectively. In this article, you will learn the syntax and usage of the map () transformation with an RDD & DataFrame example. Transformations like adding a column, updating a column e.t.c can be done using map, the output of map transformations would always have the same number of records as input.