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.
   */
  
  package org.apache.beam.learning.katas.coretransforms.sideoutput;
  
  // beam-playground:
  //   name: SideOutput
  //   description: Task from katas to implement additional output to your ParDo for numbers bigger than 100.
  //   multifile: false
  //   context_line: 50
  //   categories:
  //     - Combiners
  //     - Core Transforms
  //     - Multiple Outputs
  //   complexity: BASIC
  //   tags:
  //     - transforms
  //     - numbers
  //     - output
  
  import org.apache.beam.learning.katas.util.Log;
  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.Create;
  import org.apache.beam.sdk.transforms.DoFn;
  import org.apache.beam.sdk.transforms.ParDo;
  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;
  
  public class Task {
  
    public static void main(String[] args) {
      PipelineOptions options = PipelineOptionsFactory.fromArgs(args).create();
      Pipeline pipeline = Pipeline.create(options);
  
      PCollection<Integer> numbers = pipeline.apply(Create.of(10, 50, 120, 20, 200, 0));
  
      TupleTag<Integer> numBelow100Tag = new TupleTag<Integer>() {};
      TupleTag<Integer> numAbove100Tag = new TupleTag<Integer>() {};
  
      PCollectionTuple outputTuple = applyTransform(numbers, numBelow100Tag, numAbove100Tag);
  
      outputTuple.get(numBelow100Tag).apply(Log.ofElements("Number <= 100: "));
      outputTuple.get(numAbove100Tag).apply(Log.ofElements("Number > 100: "));
  
      pipeline.run();
    }
  
    static PCollectionTuple applyTransform(
        PCollection<Integer> numbers, TupleTag<Integer> numBelow100Tag,
        TupleTag<Integer> numAbove100Tag) {
  
      return numbers.apply(ParDo.of(new DoFn<Integer, Integer>() {
  
        @ProcessElement
        public void processElement(@Element Integer number, MultiOutputReceiver out) {
          if (number <= 100) {
            out.get(numBelow100Tag).output(number);
          } else {
            out.get(numAbove100Tag).output(number);
          }
        }
  
      }).withOutputTags(numBelow100Tag, TupleTagList.of(numAbove100Tag)));
    }
  
  }