Source code for tests.system.providers.google.cloud.dataplex.resources.spark_example_pi
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from __future__ import annotations
import sys
from operator import add
from random import random
from pyspark.sql import SparkSession
if __name__ == "__main__":
"""
Usage: pi [partitions]
"""
[docs] spark = SparkSession.builder.appName("PythonPi").getOrCreate()
partitions = int(sys.argv[1]) if len(sys.argv) > 1 else 2
n = 100000 * partitions
def f(_: int) -> float:
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(f"Pi is roughly {4.0 * count / n:f}")
spark.stop()