| # |
| # 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 pywy.dataquanta import WayangContext |
| from pywy.platforms.java import JavaPlugin |
| |
| |
| def word_count(): |
| WayangContext() \ |
| .register({JavaPlugin}) \ |
| .textfile("file:///opt/wayang/smoke/wordcount.txt") \ |
| .flatmap(lambda line: line.split(), str, str) \ |
| .filter(lambda word: word.strip() != "", str) \ |
| .map(lambda word: (word.lower(), 1), str, (str, int)) \ |
| .reduce_by_key(lambda item: item[0], lambda left, right: (left[0], int(left[1]) + int(right[1])), (str, int)) \ |
| .store_textfile("file:///tmp/wayang-python-wordcount.txt", (str, int)) |
| |
| |
| if __name__ == "__main__": |
| word_count() |