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.apex.examples.distributeddistinct;
  
  import org.apache.apex.malhar.lib.algo.UniqueValueCount;
  import org.apache.apex.malhar.lib.io.ConsoleOutputOperator;
  import org.apache.apex.malhar.lib.stream.Counter;
  import org.apache.apex.malhar.lib.stream.StreamDuplicater;
  import org.apache.apex.malhar.lib.util.KeyValPair;
  import org.apache.hadoop.conf.Configuration;
  
  import com.datatorrent.api.DAG;
  import com.datatorrent.api.StreamingApplication;
  import com.datatorrent.api.annotation.ApplicationAnnotation;
  
  /**
   * This application demonstrates the UniqueValueCount operator. It uses an input operator which generates random key
   * value pairs and simultaneously emits them to the UniqueValueCount operator and keeps track of the number of unique
   * values per key to emit to the verifier.
   *
   * @since 1.0.4
   */
  @ApplicationAnnotation(name = "ValueCount")
  public class Application implements StreamingApplication
  {
  
    @Override
    public void populateDAG(DAG dag, Configuration conf)
    {
      RandomKeyValGenerator randGen = dag.addOperator("RandomGenerator", new RandomKeyValGenerator());
      UniqueValueCount<Integer> valCount = dag.addOperator("UniqueCounter", new UniqueValueCount<Integer>());
      ConsoleOutputOperator consOut = dag.addOperator("Console", new ConsoleOutputOperator());
      StreamDuplicater<KeyValPair<Integer, Integer>> dup = dag.addOperator("Duplicator", new StreamDuplicater<KeyValPair<Integer, Integer>>());
      CountVerifier verifier = dag.addOperator("Verifier", new CountVerifier());
      ConsoleOutputOperator successOutput = dag.addOperator("Success", new ConsoleOutputOperator());
      successOutput.setStringFormat("Success %d");
      ConsoleOutputOperator failureOutput = dag.addOperator("Failure", new ConsoleOutputOperator());
      failureOutput.setStringFormat("Failure %d");
  
      Counter successcounter = dag.addOperator("SuccessCounter", new Counter());
      Counter failurecounter = dag.addOperator("FailureCounter", new Counter());
  
      dag.addStream("Events", randGen.outport, valCount.input);
      dag.addStream("Duplicates", valCount.output, dup.data);
      dag.addStream("Unverified", dup.out1, verifier.recIn);
      dag.addStream("EventCount", randGen.verport, verifier.trueIn);
      dag.addStream("Verified", verifier.successPort, successcounter.input);
      dag.addStream("Failed", verifier.failurePort, failurecounter.input);
      dag.addStream("SuccessCount", successcounter.output, successOutput.input);
      dag.addStream("FailedCount", failurecounter.output, failureOutput.input);
      dag.addStream("Output", dup.out2, consOut.input);
    }
  }
  