| /** |
| * 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.machinedata.operator; |
| |
| import java.util.HashMap; |
| import java.util.Map; |
| |
| import org.apache.apex.examples.machinedata.data.AverageData; |
| import org.apache.apex.examples.machinedata.data.MachineInfo; |
| import org.apache.apex.examples.machinedata.data.MachineKey; |
| import org.apache.apex.malhar.lib.util.KeyHashValPair; |
| |
| import com.datatorrent.api.DefaultInputPort; |
| import com.datatorrent.api.DefaultOutputPort; |
| |
| import com.datatorrent.common.util.BaseOperator; |
| |
| /** |
| * This class calculates the partial sum and count for tuples generated by upstream Operator |
| * <p> MachineInfoAveragingPrerequisitesOperator class. </p> |
| * |
| * @since 0.3.5 |
| */ |
| public class MachineInfoAveragingPrerequisitesOperator extends BaseOperator |
| { |
| |
| // Aggregate sum of all values seen for a key. |
| private Map<MachineKey, AverageData> sums = new HashMap<>(); |
| |
| public final transient DefaultOutputPort<KeyHashValPair<MachineKey, AverageData>> outputPort = new DefaultOutputPort<KeyHashValPair<MachineKey, AverageData>>() |
| { |
| @Override |
| public Unifier<KeyHashValPair<MachineKey, AverageData>> getUnifier() |
| { |
| MachineInfoAveragingUnifier unifier = new MachineInfoAveragingUnifier(); |
| return unifier; |
| } |
| }; |
| |
| public transient DefaultInputPort<MachineInfo> inputPort = new DefaultInputPort<MachineInfo>() |
| { |
| |
| @Override |
| public void process(MachineInfo tuple) |
| { |
| MachineKey key = tuple.getMachineKey(); |
| AverageData averageData = sums.get(key); |
| if (averageData == null) { |
| averageData = new AverageData(tuple.getCpu(), tuple.getHdd(), tuple.getRam(), 1); |
| sums.put(key, averageData); |
| } else { |
| averageData.setCpu(averageData.getCpu() + tuple.getCpu()); |
| averageData.setRam(averageData.getRam() + tuple.getRam()); |
| averageData.setHdd(averageData.getHdd() + tuple.getHdd()); |
| averageData.setCount(averageData.getCount() + 1); |
| } |
| } |
| }; |
| |
| @Override |
| public void endWindow() |
| { |
| |
| for (Map.Entry<MachineKey, AverageData> entry : sums.entrySet()) { |
| if (outputPort.isConnected()) { |
| outputPort.emit(new KeyHashValPair<>(entry.getKey(), entry.getValue())); |
| } |
| } |
| sums.clear(); |
| } |
| |
| } |