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Python-for-Geeks/Chapter8/casestudy/casestudy1.py
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2021-05-31 18:04:55 +04:00

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Python

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