Apache Spark RDD Commands

  • date 24th May, 2019 |
  • by Prwatech |
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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

Apache Spark RDD Commands

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

Parallelize the data set

Creating new RDD for the list

Apache Spark RDD Commands

 RDD functions

 RDD functions Apache Spark RDD Commands Apache Spark RDD

To check total RDD

To check total RDD

Creating new RDD with output

Creating new RDD with output

Creating new RDD using map RDD

Creating new RDD using map RDD

To check the function of RDD

To check the function of RDD

Transformation

Transformation

Count operation: Used to count total elements in the array

How to setup Apache Spark

Read the file from the source

Read the file from the source

Display file

Display file

Using keyword to separate data

Using keyword to separate data

To find the length of the array

To find the length of the array

To check value using index

Resilient Distributed Dataset(RDD):

Line operations

Line operations

Starting keyword

Starting keyword

Creating two arrays for the union

Creating two arrays for the union Creating two arrays for the union <

Intersection

Intersection

Join function

Join function

Using the index to get value

Using the index to get value Using the index to get value< Using the index to get value>

Using values to print in a proper format

Using values to print in a proper format

Print multiple values using for loop

Print multiple values using for loop

Using MapReduce in RDD : (word count)

Using MapReduce in RDD word count

Group By Key

Group By Key

Map value 

Map value 

Aggregation of integer value

Add : Aggregation of integer value Subtract : Subtract Changing the parallelism : Changing the parallelism

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

Take order

Save file

Save file command Save file

Saving the file in map format

Saving the file in map format Saving the file in map format command Thanks for Reading us, if you are also the one who is keen to learn the technology like a pro from scratch to advanced level, the Ask your World-class Trainers of India's Leading Apache Spark Training institute now and get Benefits of Apache Spark course from Prwatech.

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