| # | |
| # 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. | |
| # | |
| """A Python multi-language pipeline that adds prefixes to a given set of strings. | |
| This pipeline reads an input text file and adds two prefixes to every line read from the file. | |
| * Prefix 'java'. This is added by a multi-language Java transform named 'JavaPrefix'. | |
| * Prefix 'python'. This is added by a Python transform. | |
| Example commands for executing the program: | |
| DirectRunner: | |
| $ python addprefix.py --runner DirectRunner --environment_type=DOCKER --input <INPUT FILE> --output output --expansion_service_port <PORT> | |
| DataflowRunner: | |
| $ python addprefix.py \ | |
| --runner DataflowRunner \ | |
| --temp_location $TEMP_LOCATION \ | |
| --project $GCP_PROJECT \ | |
| --region $GCP_REGION \ | |
| --job_name $JOB_NAME \ | |
| --num_workers $NUM_WORKERS \ | |
| --input "gs://dataflow-samples/shakespeare/kinglear.txt" \ | |
| --output "gs://$GCS_BUCKET/javaprefix/output" \ | |
| --expansion_service_port <PORT> | |
| """ | |
| import logging | |
| import re | |
| import typing | |
| import apache_beam as beam | |
| from apache_beam.io import ReadFromText | |
| from apache_beam.io import WriteToText | |
| from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder | |
| from apache_beam.options.pipeline_options import PipelineOptions | |
| def run(input_path, output_path, expansion_service_port, pipeline_args): | |
| pipeline_options = PipelineOptions(pipeline_args) | |
| with beam.Pipeline(options=pipeline_options) as p: | |
| input = p | 'Read' >> ReadFromText(input_path).with_output_types(str) | |
| java_output = ( | |
| input | |
| | 'JavaPrefix' >> beam.ExternalTransform( | |
| 'beam:transform:org.apache.beam:javaprefix:v1', | |
| ImplicitSchemaPayloadBuilder({'prefix': 'java:'}), | |
| ('localhost:%s' % expansion_service_port))) | |
| def python_prefix(record): | |
| return 'python:%s' % record | |
| output = java_output | 'PythonPrefix' >> beam.Map(python_prefix) | |
| output | 'Write' >> WriteToText(output_path) | |
| if __name__ == '__main__': | |
| logging.getLogger().setLevel(logging.INFO) | |
| import argparse | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument( | |
| '--input', | |
| dest='input', | |
| required=True, | |
| help='Input file') | |
| parser.add_argument( | |
| '--output', | |
| dest='output', | |
| required=True, | |
| help='Output file') | |
| parser.add_argument( | |
| '--expansion_service_port', | |
| dest='expansion_service_port', | |
| required=True, | |
| help='Expansion service port') | |
| known_args, pipeline_args = parser.parse_known_args() | |
| run( | |
| known_args.input, | |
| known_args.output, | |
| known_args.expansion_service_port, | |
| pipeline_args) |