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import sys from pyspark import SparkConf, SparkContext sc = SparkContext("local", "pysaprk word counts") lines = sc.textFile(sys.argv[1]).cache() words = lines.flatMap(lambda line: line.split(" "))...

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import sys
from pyspark import SparkConf, SparkContext
sc = SparkContext("local", "pysaprk word counts")
lines = sc.textFile(sys.argv[1]).cache()
words = lines.flatMap(lambda line: line.split(" "))
pairs = words.map(lambda word: (word, 1))
counts = pairs.reduceByKey(lambda a, b: a + b)
counts.saveAsTextFile("counts");
sc.stop()
Answered Same Day Sep 20, 2021

Solution

Ximi answered on Sep 21 2021
152 Votes
from pyspark import SparkConf, SparkContext
sc = SparkContext("local", "pysaprk word counts")
text_file_path = 'pg100.txt'
lines = sc.textFile(text_file_path).cache()
letters = lines.flatMap(lambda line: line[0])
pairs = letters.map(lambda letter: (letter, 1))
counts = pairs.reduceByKey(lambda...
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