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,
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   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  
  package org.apache.beam.learning.katas.coretransforms.combine.binarycombinefnlambda;
  
  // beam-playground:
  //   name: BinaryCombineFnLambda
  //   description: Task from katas to implement the summation of BigIntegers using lambda.
  //   multifile: false
  //   context_line: 45
  //   categories:
  //     - Combiners
  //     - Core Transforms
  //   complexity: BASIC
  //   tags:
  //     - transforms
  //     - numbers
  
  import java.math.BigInteger;
  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.Combine;
  import org.apache.beam.sdk.transforms.Create;
  import org.apache.beam.sdk.values.PCollection;
  
  public class Task {
  
    public static void main(String[] args) {
      PipelineOptions options = PipelineOptionsFactory.fromArgs(args).create();
      Pipeline pipeline = Pipeline.create(options);
  
      PCollection<BigInteger> numbers =
          pipeline.apply(
              Create.of(
                  BigInteger.valueOf(10), BigInteger.valueOf(20), BigInteger.valueOf(30),
                  BigInteger.valueOf(40), BigInteger.valueOf(50)
              ));
  
      PCollection<BigInteger> output = applyTransform(numbers);
  
      output.apply(Log.ofElements());
  
      pipeline.run();
    }
  
    static PCollection<BigInteger> applyTransform(PCollection<BigInteger> input) {
      return input.apply(Combine.globally(BigInteger::add));
    }
  
  }