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#
# 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 import SparkContext
if __name__ == "__main__":
if len(sys.argv) != 2:
print >> sys.stderr, "Usage: sort <file>"
exit(-1)
sc = SparkContext(appName="PythonSort")
lines = sc.textFile(sys.argv[1], 1)
sortedCount = lines.flatMap(lambda x: x.split(' ')) \
.map(lambda x: (int(x), 1)) \
.sortByKey(lambda x: x)
# 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
sc.stop()
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