Apache Spark Basic RDD Commands

Apache Spark RDD Commands, Welcome to the world of best RDD commands used in Apache Spark, In This tutorial, one can easily learn a List of all Top Rated Apache Spark basic RDD commands which are available and are used by most of the Spark developers. Are you also dreaming to become to certified Pro Developer, then stop just dreaming get your Apache Spark certification course from India’s Leading Apache Spark Training institute.

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Basic used in Apache Spark

 Creating a new list with a value

Parallelize the data set. It will provide the set of two RDD (default partition is 2)

Creating new RDD for the list

 RDD functions

To check total RDD

Creating new RDD with output

Creating new RDD using map RDD

To check the function of RDD

Transformation

Count operation: Used to count total elements in the array

Read the file from the source

Display file

Using keyword to separate data

To find the length of the array

To check value using index

Line operations

Starting keyword

Creating two arrays for the union

Intersection

Join function

Using the index to get value

Using values to print in a proper format

Print multiple values using for loop

Using MapReduce in RDD : (word count)

Group By Key

Map value 

Aggregation of integer value

Add :

Subtract :

Changing the parallelism :

Take order: Does the order selection on the basis of the given array and value

Save file

Saving the file in map format

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