/** * 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.benchmark.algo; import org.apache.apex.malhar.lib.algo.UniqueCounter; import org.apache.apex.malhar.lib.converter.MapToKeyHashValuePairConverter; import org.apache.apex.malhar.lib.io.ConsoleOutputOperator; import org.apache.apex.malhar.lib.stream.Counter; import org.apache.apex.malhar.lib.testbench.RandomEventGenerator; 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; /** * 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); } }