ReduceBykey and Collect

One of the most popular pair RDD transformations is reduceByKey() which operates on key, value (k,v) pairs and merges the values for each key. In this exercise, you'll first create a pair RDD from a list of tuples, then combine the values with the same key and finally print out the result.

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

Questo esercizio fa parte del corso

Big Data Fundamentals with PySpark

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Istruzioni dell'esercizio

Create a pair RDD named Rdd with tuples (1,2),(3,4),(3,6),(4,5).
Transform the Rdd with reduceByKey() into a pair RDD Rdd_Reduced by adding the values with the same key.
Collect the contents of pair RDD Rdd_Reduced and iterate to print the output.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Create PairRDD Rdd with key value pairs
Rdd = sc.parallelize([____])

# Apply reduceByKey() operation on Rdd
Rdd_Reduced = Rdd.reduceByKey(lambda x, y: ____)

# Iterate over the result and print the output
for num in Rdd_Reduced.____: 
  print("Key {} has {} Counts".format(____, num[1]))

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