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.
Questo esercizio fa parte del corso
Big Data Fundamentals with PySpark
Istruzioni dell'esercizio
- Create a RDD named
RDDfrom a Python list of words. - Confirm the object created is RDD.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# 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))