main/python/pi.py

0001 #
0002 # Licensed to the Apache Software Foundation (ASF) under one or more
0003 # contributor license agreements.  See the NOTICE file distributed with
0004 # this work for additional information regarding copyright ownership.
0005 # The ASF licenses this file to You under the Apache License, Version 2.0
0006 # (the "License"); you may not use this file except in compliance with
0007 # the License.  You may obtain a copy of the License at
0008 #
0009 #    http://www.apache.org/licenses/LICENSE-2.0
0010 #
0011 # Unless required by applicable law or agreed to in writing, software
0012 # distributed under the License is distributed on an "AS IS" BASIS,
0013 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
0014 # See the License for the specific language governing permissions and
0015 # limitations under the License.
0016 #
0017
0018 from __future__ import print_function
0019
0020 import sys
0021 from random import random
0022 from operator import add
0023
0024 from pyspark.sql import SparkSession
0025
0026
0027 if __name__ == "__main__":
0028     """
0029         Usage: pi [partitions]
0030     """
0031     spark = SparkSession\
0032         .builder\
0033         .appName("PythonPi")\
0034         .getOrCreate()
0035
0036     partitions = int(sys.argv[1]) if len(sys.argv) > 1 else 2
0037     n = 100000 * partitions
0038
0039     def f(_):
0040         x = random() * 2 - 1
0041         y = random() * 2 - 1
0042         return 1 if x ** 2 + y ** 2 <= 1 else 0
0043
0044     count = spark.sparkContext.parallelize(range(1, n + 1), partitions).map(f).reduce(add)
0045     print("Pi is roughly %f" % (4.0 * count / n))
0046
0047     spark.stop()