Adding source code for chapter 8
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#casestudy1: Pi calculater
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from operator import add
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from random import random
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from pyspark.sql import SparkSession
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spark = SparkSession.builder.master("spark://192.168.64.2:7077") \
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.appName("Pi claculator app") \
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.getOrCreate()
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partitions = 2
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n = 10000000 * partitions
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def f(_):
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x = random() * 2 - 1
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y = random() * 2 - 1
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return 1 if x ** 2 + y ** 2 <= 1 else 0
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count = spark.sparkContext.parallelize(range(1, n + 1), partitions).map(f).reduce(add)
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print("Pi is roughly %f" % (4.0 * count / n))
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