# # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from __future__ import print_function import sys from operator import add import random from pyspark.sql import SparkSession if __name__ == "__main__": if len(sys.argv) != 2: print("Usage: filter <file>", file=sys.stderr) sys.exit(-1) spark = SparkSession.builder.appName("PythonJoin").getOrCreate() lines = spark.read.text(sys.argv[1]).rdd.map(lambda r: r[0]) lines = lines.map(lambda a: a.encode('utf-8')) names = lines.filter(lambda x: x.split(':')[1] if 'profileName' in x else '') profiles = names.map(lambda c: (c, random.randint(1, 10))) #randos = randos.map(lambda d: (d, random.randint(1, 10)) #final = profiles.join(randos) res = profiles.collect() for r in res: print(r) print('\n') spark.stop()