content: // 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.
  
  // beam-playground:
  //   name: pardo-one-to-many
  //   description: ParDo one-to-many example.
  //   multifile: false
  //   context_line: 39
  //   categories:
  //     - Quickstart
  //   complexity: MEDIUM
  //   tags:
  //     - hellobeam
  
  import org.apache.beam.sdk.Pipeline;
  import org.apache.beam.sdk.options.PipelineOptions;
  import org.apache.beam.sdk.options.PipelineOptionsFactory;
  import org.apache.beam.sdk.values.PCollection;
  import org.apache.beam.sdk.transforms.*;
  import org.slf4j.Logger;
  import org.slf4j.LoggerFactory;
  
  public class Task {
  
      private static final Logger LOG = LoggerFactory.getLogger(Task.class);
  
      public static void main(String[] args) {
          PipelineOptions options = PipelineOptionsFactory.fromArgs(args).create();
          Pipeline pipeline = Pipeline.create(options);
  
          // List of elements
          PCollection<String> input =
                  pipeline.apply(Create.of("Hello Beam", "It is awesome"));
  
          // The applyTransform() converts [sentences] to [output]
          PCollection<String> output = applyTransform(input);
  
          output.apply("Log", ParDo.of(new LogOutput<String>()));
  
  
          pipeline.run();
      }
  
      // The applyTransform() divides a sentence into an array of words and outputs each word
      static PCollection<String> applyTransform(PCollection<String> input) {
          return input.apply(ParDo.of(new DoFn<String, String>() {
  
              @ProcessElement
              public void processElement(@Element String sentence, OutputReceiver<String> out) {
                  String[] words = sentence.split(" ");
  
                  for (String word : words) {
                      out.output(word);
                  }
              }
  
          }));
      }
  
      static class LogOutput<T> extends DoFn<T, T> {
          private String prefix;
  
          LogOutput() {
              this.prefix = "Processing element";
          }
  
          LogOutput(String prefix) {
              this.prefix = prefix;
          }
  
          @ProcessElement
          public void processElement(ProcessContext c) throws Exception {
              LOG.info(prefix + ": {}", c.element());
          }
      }
  }