javacount.py

#
# 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.
#

importlogging
importre
importtyping

importapache_beamasbeam
fromapache_beam.ioimportReadFromText
fromapache_beam.ioimportWriteToText
fromapache_beam.transforms.externalimportImplicitSchemaPayloadBuilder
fromapache_beam.options.pipeline_optionsimportPipelineOptions

"""A Python multi-language pipeline that counts words.

This pipeline reads an input text file and counts the words using the Java SDK
transform `Count.perElement()`.

Example commands for executing the program:

DirectRunner:
$ python javacount.py --runner DirectRunner --environment_type=DOCKER --input <INPUT FILE> --output output --expansion_service_port <PORT>

DataflowRunner:
$ python javacount.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/javacount/output" \
 --expansion_service_port <PORT>
"""

classWordExtractingDoFn(beam.DoFn):
defprocess(self, element):
returnre.findall(r'[\w\']+', element, re.UNICODE)


defrun(input_path, output_path, expansion_service_port, pipeline_args):
pipeline_options=PipelineOptions(pipeline_args)

withbeam.Pipeline(options=pipeline_options) asp:
lines=p|'Read'>>ReadFromText(input_path).with_output_types(str)
words=lines|'Split'>> (beam.ParDo(WordExtractingDoFn()).with_output_types(str))

java_output= (
words
|'JavaCount'>>beam.ExternalTransform(
'beam:transform:org.apache.beam:javacount:v1',
None,
 ('localhost:%s'%expansion_service_port)))

defformat(kv):
key, value=kv
return'%s:%s'% (key, value)

output=java_output|'Format'>>beam.Map(format)
output|'Write'>>WriteToText(output_path)


if__name__=='__main__':
logging.getLogger().setLevel(logging.INFO)
importargparse

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)