blob: 9efb00a6f1532e5423252e4cb8455cf5bea9efd7 [file] [log] [blame]
#
# 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.
#
import sys
from pyspark.sql import SparkSession
if __name__ == "__main__":
if len(sys.argv) != 2:
print("Usage: sort <file>", file=sys.stderr)
sys.exit(-1)
spark = SparkSession\
.builder\
.appName("PythonSort")\
.getOrCreate()
lines = spark.read.text(sys.argv[1]).rdd.map(lambda r: r[0])
sortedCount = lines.flatMap(lambda x: x.split(' ')) \
.map(lambda x: (int(x), 1)) \
.sortByKey()
# This is just a demo on how to bring all the sorted data back to a single node.
# In reality, we wouldn't want to collect all the data to the driver node.
output = sortedCount.collect()
for (num, unitcount) in output:
print(num)
spark.stop()