| # |
| # 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() |