| # |
| # 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. |
| # |
| # pytype: skip-file |
| |
| import logging |
| |
| from apache_beam.examples import wordcount |
| from apache_beam.testing.load_tests.dataflow_cost_benchmark import DataflowCostBenchmark |
| |
| |
| class WordcountCostBenchmark(DataflowCostBenchmark): |
| def __init__(self): |
| super().__init__(pcollection='Format.out0') |
| |
| def test(self): |
| extra_opts = {} |
| extra_opts['output'] = self.pipeline.get_option('output_file') |
| self.result = wordcount.run( |
| self.pipeline.get_full_options_as_args(**extra_opts), |
| save_main_session=False) |
| |
| |
| if __name__ == '__main__': |
| logging.basicConfig(level=logging.INFO) |
| WordcountCostBenchmark().run() |