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: additional-outputs
  //   description: Additional outputs example.
  //   multifile: false
  //   context_line: 44
  //   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.transforms.*;
  import org.apache.beam.sdk.values.PCollection;
  import org.apache.beam.sdk.values.PCollectionTuple;
  import org.apache.beam.sdk.values.TupleTag;
  import org.apache.beam.sdk.values.TupleTagList;
  import org.slf4j.Logger;
  import org.slf4j.LoggerFactory;
  import java.util.Arrays;
  import org.apache.beam.sdk.values.TypeDescriptors;
  
  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<Integer> input = pipeline.apply(Create.of(10, 50, 120, 20, 200, 0));
  
          TupleTag<Integer> numBelow100Tag = new TupleTag<Integer>() {};
          TupleTag<Integer> numAbove100Tag = new TupleTag<Integer>() {};
  
          // The applyTransform() converts [input] to [outputTuple]
          PCollectionTuple outputTuple = applyTransform(input, numBelow100Tag, numAbove100Tag);
  
          outputTuple.get(numBelow100Tag).apply("Log Number <= 100: ", ParDo.of(new LogOutput<Integer>("Number <= 100: ")));
  
          outputTuple.get(numAbove100Tag).apply("Log Number > 100: ", ParDo.of(new LogOutput<Integer>("Number > 100: ")));
  
  
          pipeline.run();
      }
  
      // The function has multiple outputs, numbers above 100 and below
      static PCollectionTuple applyTransform(
              PCollection<Integer> input, TupleTag<Integer> numBelow100Tag,
              TupleTag<Integer> numAbove100Tag) {
  
          return input.apply(ParDo.of(new DoFn<Integer, Integer>() {
  
              @ProcessElement
              public void processElement(@Element Integer number, MultiOutputReceiver out) {
                  if (number <= 100) {
                      // First PCollection
                      out.get(numBelow100Tag).output(number);
                  } else {
                      // Additional PCollection
                      out.get(numAbove100Tag).output(number);
                  }
              }
  
          }).withOutputTags(numBelow100Tag, TupleTagList.of(numAbove100Tag)));
      }
  
      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());
          }
      }
  }