| /** |
| * 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); |
| } |
| } |