Map and Collect

The main method with which you can manipulate data in PySpark is using map(). The map() transformation takes in a function and applies it to each element in the RDD. It can be used to do any number of things, from fetching the website associated with each URL in our collection to just squaring the numbers. In this simple exercise, you'll use map() transformation to cube each number of the numbRDD RDD that you've created earlier. Next, you'll store all the elements in a variable and finally print the output.

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

Questo esercizio fa parte del corso

Big Data Fundamentals with PySpark

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Istruzioni dell'esercizio

Create map() transformation that cubes all of the numbers in numbRDD.
Collect the results in a numbers_all variable.
Print the output from numbers_all variable.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Create map() transformation to cube numbers
cubedRDD = numbRDD.map(lambda x: ____)

# Collect the results
numbers_all = cubedRDD.____()

# Print the numbers from numbers_all
for numb in ____:
	print(____)

Modifica ed esegui il codice