benchmark/src/main/java/org/apache/apex/benchmark/algo/UniqueValueCountBenchmarkApplication.java

/**
 * 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 com.datatorrent.benchmark.algo;

import org.apache.hadoop.conf.Configuration;

import com.datatorrent.api.Context;
import com.datatorrent.api.DAG;
import com.datatorrent.api.DAG.Locality;
import com.datatorrent.api.StreamingApplication;
import com.datatorrent.api.annotation.ApplicationAnnotation;
import com.datatorrent.common.partitioner.StatelessPartitioner;

import com.datatorrent.lib.algo.UniqueCounter;
import com.datatorrent.lib.converter.MapToKeyHashValuePairConverter;
import com.datatorrent.lib.io.ConsoleOutputOperator;

import com.datatorrent.lib.stream.Counter;
import com.datatorrent.lib.testbench.RandomEventGenerator;

/**
 * Application to demonstrate PartitionableUniqueCount operator. <br>
 * The input operator generate random keys, which is sent to
 * PartitionableUniqueCount operator initially partitioned into three partitions to
 * test unifier functionality, and output of the operator is sent to verifier to verify
 * that it generates correct result.
 *
 * @since 1.0.2
 */
@ApplicationAnnotation(name = "UniqueCountBenchmark")
public class UniqueValueCountBenchmarkApplication implements StreamingApplication
{

  @Override
  public void populateDAG(DAG dag, Configuration entries)
  {
    dag.setAttribute(dag.APPLICATION_NAME, "UniqueValueCountDemo");
    dag.setAttribute(dag.DEBUG, true);


    /* Generate random key-value pairs */
    RandomEventGenerator randGen = dag.addOperator("randomgen", new RandomEventGenerator());
    randGen.setMaxvalue(999999);
    randGen.setTuplesBlastIntervalMillis(50);
    dag.setAttribute(randGen, Context.OperatorContext.PARTITIONER, new StatelessPartitioner<RandomEventGenerator>(3));

    /* Initialize with three partition to start with */
    UniqueCounter<Integer> uniqCount = dag.addOperator("uniqevalue", new UniqueCounter<Integer>());
    MapToKeyHashValuePairConverter<Integer, Integer> converter =
        dag.addOperator("converter", new MapToKeyHashValuePairConverter());

    dag.setAttribute(uniqCount, Context.OperatorContext.PARTITIONER,
        new StatelessPartitioner<UniqueCounter<Integer>>(3));
    dag.setInputPortAttribute(uniqCount.data, Context.PortContext.PARTITION_PARALLEL, true);
    uniqCount.setCumulative(false);

    Counter counter = dag.addOperator("count", new Counter());
    ConsoleOutputOperator output = dag.addOperator("output", new ConsoleOutputOperator());

    dag.addStream("datain", randGen.integer_data, uniqCount.data);
    dag.addStream("convert", uniqCount.count, converter.input).setLocality(Locality.THREAD_LOCAL);
    dag.addStream("consoutput", converter.output, counter.input);
    dag.addStream("final", counter.output, output.input);
  }
}