RDDs from Parallelized collections

Resilient Distributed Dataset (RDD) is the basic abstraction in Spark. It is an immutable distributed collection of objects. Since RDD is a fundamental and backbone data type in Spark, it is important that you understand how to create it. In this exercise, you'll create your first RDD in PySpark from a collection of words.

Remember, you already have a SparkContext sc available in your workspace.

This exercise is part of the course

Big Data Fundamentals with PySpark

View Course

Exercise instructions

Create a RDD named RDD from a Python list of words.
Confirm the object created is RDD.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create an RDD from a list of words
RDD = sc.____(["Spark", "is", "a", "framework", "for", "Big Data processing"])

# Print out the type of the created object
print("The type of RDD is", ____(RDD))

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