| /** |
| * 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.pi; |
| |
| import org.apache.apex.malhar.lib.appdata.schemas.SchemaUtils; |
| import org.apache.apex.malhar.lib.appdata.snapshot.AppDataSnapshotServerMap; |
| import org.apache.apex.malhar.lib.io.ConsoleOutputOperator; |
| import org.apache.apex.malhar.lib.io.PubSubWebSocketAppDataQuery; |
| import org.apache.apex.malhar.lib.io.PubSubWebSocketAppDataResult; |
| import org.apache.apex.malhar.lib.testbench.RandomEventGenerator; |
| import org.apache.hadoop.conf.Configuration; |
| |
| import com.datatorrent.api.DAG; |
| import com.datatorrent.api.DAG.Locality; |
| import com.datatorrent.api.Operator; |
| import com.datatorrent.api.StreamingApplication; |
| import com.datatorrent.api.annotation.ApplicationAnnotation; |
| |
| /** |
| * Monte Carlo PI estimation example : <br> |
| * This application computes value of PI using Monte Carlo pi estimation |
| * formula. |
| * <p> |
| * Very similar to PiExample but data is also written to an App Data operator for visualization. |
| * <p> |
| * Running Java Test or Main app in IDE: |
| * |
| * <pre> |
| * LocalMode.runApp(new Application(), 600000); // 10 min run |
| * </pre> |
| * |
| * Run Success : <br> |
| * For successful deployment and run, user should see something like the |
| * following output on the console (since the input sequence of random numbers |
| * can vary from one run to the next, there will be some variation in the |
| * output values): |
| * |
| * <pre> |
| * 3.1430480549199085 |
| * 3.1423454157782515 |
| * 3.1431377245508982 |
| * 3.142078799249531 |
| * 2013-06-18 10:43:18,335 [main] INFO stram.StramLocalCluster run - Application finished. |
| * </pre> |
| * |
| * Application DAG : <br> |
| * <img src="doc-files/Application.gif" width=600px > <br> |
| * <br> |
| * |
| * Streaming Window Size : 1000 ms(1 Sec) <br> |
| * Operator Details : <br> |
| * <ul> |
| * <li><b>The rand Operator : </b> This operator generates random integer |
| * between 0-30k. <br> |
| * Class : {@link org.apache.apex.malhar.lib.testbench.RandomEventGenerator}<br> |
| * StateFull : No</li> |
| * <li><b>The calc operator : </b> This operator computes value of pi using |
| * monte carlo estimation. <br> |
| * Class : PiCalculateOperator <br> |
| * StateFull : No</li> |
| * <li><b>The operator Console: </b> This operator just outputs the input tuples |
| * to the console (or stdout). You can use other output adapters if needed.<br> |
| * </li> |
| * </ul> |
| * |
| * @since 0.3.2 |
| */ |
| @ApplicationAnnotation(name = "PiExampleAppData") |
| public class ApplicationAppData implements StreamingApplication |
| { |
| public static final String SNAPSHOT_SCHEMA = "PiExampleDataSchema.json"; |
| |
| private final Locality locality = null; |
| |
| @Override |
| public void populateDAG(DAG dag, Configuration conf) |
| { |
| RandomEventGenerator rand = dag.addOperator("rand", new RandomEventGenerator()); |
| PiCalculateOperator calc = dag.addOperator("picalc", new PiCalculateOperator()); |
| |
| |
| dag.addStream("rand_calc", rand.integer_data, calc.input).setLocality(locality); |
| |
| AppDataSnapshotServerMap snapshotServer = dag.addOperator("SnapshotServer", new AppDataSnapshotServerMap()); |
| |
| String snapshotServerJSON = SchemaUtils.jarResourceFileToString(SNAPSHOT_SCHEMA); |
| |
| snapshotServer.setSnapshotSchemaJSON(snapshotServerJSON); |
| |
| PubSubWebSocketAppDataQuery wsQuery = new PubSubWebSocketAppDataQuery(); |
| wsQuery.enableEmbeddedMode(); |
| snapshotServer.setEmbeddableQueryInfoProvider(wsQuery); |
| |
| PubSubWebSocketAppDataResult wsResult = dag.addOperator("QueryResult", new PubSubWebSocketAppDataResult()); |
| |
| Operator.InputPort<String> queryResultPort = wsResult.input; |
| |
| NamedValueList<Object> adaptor = dag.addOperator("adaptor", new NamedValueList<Object>()); |
| ConsoleOutputOperator console = dag.addOperator("console", new ConsoleOutputOperator()); |
| |
| dag.addStream("PiValues", calc.output, adaptor.inPort, console.input).setLocality(locality);; |
| dag.addStream("NamedPiValues", adaptor.outPort, snapshotServer.input); |
| dag.addStream("Result", snapshotServer.queryResult, queryResultPort); |
| } |
| |
| } |