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. So follow the below mentioned used from Prwatech and learn Apache Spark Course like a pro from today itself under 15+ Years of Hands-on Experienced Professionals.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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