| # 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 apache_beam as beam |
| |
| from log_elements import LogElements |
| |
| lines = [ |
| "apple orange grape banana apple banana", |
| "banana orange banana papaya" |
| ] |
| |
| p = beam.Pipeline() |
| |
| (p | beam.Create(lines) |
| |
| | beam.FlatMap(lambda sentence: sentence.split()) |
| | beam.combiners.Count.PerElement() |
| | beam.Map(lambda (k, v): k + ":" + str(v)) |
| |
| | LogElements()) |
| |
| p.run() |
