| /* |
| * Copyright (c) 2013 DataTorrent, Inc. ALL Rights Reserved. |
| * |
| * Licensed 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.demos.uniquecountdemo; |
| |
| import com.datatorrent.api.Context; |
| import com.datatorrent.api.DAG; |
| import com.datatorrent.api.StreamingApplication; |
| import com.datatorrent.api.annotation.ApplicationAnnotation; |
| import com.datatorrent.lib.algo.PartitionableUniqueCount; |
| import com.datatorrent.lib.algo.UniqueCounterValue; |
| import com.datatorrent.lib.io.ConsoleOutputOperator; |
| import com.datatorrent.lib.stream.StreamDuplicater; |
| import com.datatorrent.lib.util.KeyHashValPair; |
| import org.apache.hadoop.conf.Configuration; |
| |
| /** |
| * 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. |
| */ |
| @ApplicationAnnotation(name="UniqueValueCountDemo") |
| public class Application implements StreamingApplication |
| { |
| |
| @Override |
| public void populateDAG(DAG dag, Configuration entries) |
| { |
| /* Generate random key-value pairs */ |
| RandomKeysGenerator randGen = dag.addOperator("randomgen", new RandomKeysGenerator()); |
| |
| |
| /* Initialize with three partition to start with */ |
| // UniqueCount1 uniqCount = dag.addOperator("uniqevalue", new UniqueCount1()); |
| PartitionableUniqueCount<Integer> uniqCount = dag.addOperator("uniqevalue", new PartitionableUniqueCount<Integer>()); |
| |
| uniqCount.setCumulative(false); |
| dag.setAttribute(uniqCount, Context.OperatorContext.INITIAL_PARTITION_COUNT, 3); |
| |
| CountVerifier<Integer> verifier = dag.addOperator("verifier", new CountVerifier<Integer>()); |
| StreamDuplicater<KeyHashValPair<Integer, Integer>> dup = dag.addOperator("dup", new StreamDuplicater<KeyHashValPair<Integer, Integer>>()); |
| ConsoleOutputOperator output = dag.addOperator("output", new ConsoleOutputOperator()); |
| |
| ConsoleOutputOperator successOutput = dag.addOperator("successoutput", new ConsoleOutputOperator()); |
| successOutput.setStringFormat("Success %d"); |
| ConsoleOutputOperator failureOutput = dag.addOperator("failureoutput", new ConsoleOutputOperator()); |
| failureOutput.setStringFormat("Failure %d"); |
| |
| // success and failure counters. |
| UniqueCounterValue<Integer> successcounter = dag.addOperator("successcounter", new UniqueCounterValue<Integer>()); |
| UniqueCounterValue<Integer> failurecounter = dag.addOperator("failurecounter", new UniqueCounterValue<Integer>()); |
| |
| dag.addStream("datain", randGen.outPort, uniqCount.data); |
| dag.addStream("dataverification0", randGen.verificationPort, verifier.in1); |
| dag.addStream("split", uniqCount.count, dup.data); |
| dag.addStream("consoutput", dup.out1, output.input); |
| dag.addStream("dataverification1", dup.out2, verifier.in2); |
| dag.addStream("successc", verifier.successPort, successcounter.data); |
| dag.addStream("failurec", verifier.failurePort, failurecounter.data); |
| dag.addStream("succconsoutput", successcounter.count, successOutput.input); |
| dag.addStream("failconsoutput", failurecounter.count, failureOutput.input); |
| } |
| } |