| ################################################################################ |
| # 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 argparse |
| import logging |
| import sys |
| |
| from pyflink.common import WatermarkStrategy, Encoder, Types |
| from pyflink.datastream import StreamExecutionEnvironment, RuntimeExecutionMode |
| from pyflink.datastream.connectors import (FileSource, StreamFormat, FileSink, OutputFileConfig, |
| RollingPolicy) |
| |
| |
| word_count_data = ["To be, or not to be,--that is the question:--", |
| "Whether 'tis nobler in the mind to suffer", |
| "The slings and arrows of outrageous fortune", |
| "Or to take arms against a sea of troubles,", |
| "And by opposing end them?--To die,--to sleep,--", |
| "No more; and by a sleep to say we end", |
| "The heartache, and the thousand natural shocks", |
| "That flesh is heir to,--'tis a consummation", |
| "Devoutly to be wish'd. To die,--to sleep;--", |
| "To sleep! perchance to dream:--ay, there's the rub;", |
| "For in that sleep of death what dreams may come,", |
| "When we have shuffled off this mortal coil,", |
| "Must give us pause: there's the respect", |
| "That makes calamity of so long life;", |
| "For who would bear the whips and scorns of time,", |
| "The oppressor's wrong, the proud man's contumely,", |
| "The pangs of despis'd love, the law's delay,", |
| "The insolence of office, and the spurns", |
| "That patient merit of the unworthy takes,", |
| "When he himself might his quietus make", |
| "With a bare bodkin? who would these fardels bear,", |
| "To grunt and sweat under a weary life,", |
| "But that the dread of something after death,--", |
| "The undiscover'd country, from whose bourn", |
| "No traveller returns,--puzzles the will,", |
| "And makes us rather bear those ills we have", |
| "Than fly to others that we know not of?", |
| "Thus conscience does make cowards of us all;", |
| "And thus the native hue of resolution", |
| "Is sicklied o'er with the pale cast of thought;", |
| "And enterprises of great pith and moment,", |
| "With this regard, their currents turn awry,", |
| "And lose the name of action.--Soft you now!", |
| "The fair Ophelia!--Nymph, in thy orisons", |
| "Be all my sins remember'd."] |
| |
| |
| def word_count(input_path, output_path): |
| env = StreamExecutionEnvironment.get_execution_environment() |
| env.set_runtime_mode(RuntimeExecutionMode.BATCH) |
| # write all the data to one file |
| env.set_parallelism(1) |
| |
| # define the source |
| if input_path is not None: |
| ds = env.from_source( |
| source=FileSource.for_record_stream_format(StreamFormat.text_line_format(), |
| input_path) |
| .process_static_file_set().build(), |
| watermark_strategy=WatermarkStrategy.for_monotonous_timestamps(), |
| source_name="file_source" |
| ) |
| else: |
| print("Executing word_count example with default input data set.") |
| print("Use --input to specify file input.") |
| ds = env.from_collection(word_count_data) |
| |
| def split(line): |
| yield from line.split() |
| |
| # compute word count |
| ds = ds.flat_map(split) \ |
| .map(lambda i: (i, 1), output_type=Types.TUPLE([Types.STRING(), Types.INT()])) \ |
| .key_by(lambda i: i[0]) \ |
| .reduce(lambda i, j: (i[0], i[1] + j[1])) |
| |
| # define the sink |
| if output_path is not None: |
| ds.sink_to( |
| sink=FileSink.for_row_format( |
| base_path=output_path, |
| encoder=Encoder.simple_string_encoder()) |
| .with_output_file_config( |
| OutputFileConfig.builder() |
| .with_part_prefix("prefix") |
| .with_part_suffix(".ext") |
| .build()) |
| .with_rolling_policy(RollingPolicy.default_rolling_policy()) |
| .build() |
| ) |
| else: |
| print("Printing result to stdout. Use --output to specify output path.") |
| ds.print() |
| |
| # submit for execution |
| env.execute() |
| |
| |
| if __name__ == '__main__': |
| logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(message)s") |
| |
| parser = argparse.ArgumentParser() |
| parser.add_argument( |
| '--input', |
| dest='input', |
| required=False, |
| help='Input file to process.') |
| parser.add_argument( |
| '--output', |
| dest='output', |
| required=False, |
| help='Output file to write results to.') |
| |
| argv = sys.argv[1:] |
| known_args, _ = parser.parse_known_args(argv) |
| |
| word_count(known_args.input, known_args.output) |