/* * Copyright 2014 DataGenerator Contributors * * 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 org.finra.datagenerator.samples.distributor.hdfs; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Mapper; import org.apache.log4j.Logger; import org.finra.datagenerator.distributor.multithreaded.DefaultDistributor; import org.finra.datagenerator.engine.Frontier; import org.finra.datagenerator.engine.scxml.SCXMLGapper; import org.finra.datagenerator.samples.consumer.SampleMachineConsumer; import java.io.IOException; import java.util.ArrayList; import java.util.HashMap; import java.util.List; import java.util.Map; /** * Created by robbinbr on 4/7/2014. */ public class DataGeneratorMapper extends Mapper<LongWritable, Text, LongWritable, Text> { private static final Logger log = Logger.getLogger(DataGeneratorMapper.class); private String reportingHost; private String modelText; private final DefaultDistributor distributor = new DefaultDistributor(); @Override public void setup(final Context context) { modelText = context.getConfiguration().get("stateMachineText"); distributor.setMaxNumberOfLines(context.getConfiguration().getLong("maxNumberOfLines", 100000)); reportingHost = context.getConfiguration().get("reportingHost", "NOTFOUND"); log.info("Reporting host is:" + reportingHost); } @Override public void map(final LongWritable key, Text value, final Context context) throws IOException, InterruptedException { log.info("Entering the mapper"); // Prepare DataConsumer SampleMachineConsumer wrappingConsumer = new SampleMachineConsumer(context); wrappingConsumer.setReportingHost(reportingHost); distributor.setDataConsumer(wrappingConsumer); // Prepare Problems (only one) List<Frontier> problemList = new ArrayList<>(); SCXMLGapper gapper = new SCXMLGapper(); String[] frontier = value.toString().split("\\|"); String variables = frontier[1]; String target = frontier[0]; Map<String, String> decomposition = new HashMap<>(); decomposition.put("model", modelText); decomposition.put("target", target); decomposition.put("variables", variables); Frontier problem = gapper.reproduce(decomposition); log.info(value.toString()); problemList.add(problem); log.info("We have " + problemList.size() + " Problems"); log.info("Distributing problems"); // Execute distributor.distribute(problemList); log.info("Writing results"); } }