| /* |
| * 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.machinedata.operator; |
| |
| import com.datatorrent.api.BaseOperator; |
| import com.datatorrent.api.DefaultInputPort; |
| import com.datatorrent.api.DefaultOutputPort; |
| |
| import com.datatorrent.demos.machinedata.data.MachineKey; |
| import com.datatorrent.demos.machinedata.data.MachineInfo; |
| import com.datatorrent.demos.machinedata.data.AverageData; |
| import com.datatorrent.lib.math.Average; |
| import com.datatorrent.lib.util.KeyHashValPair; |
| |
| import org.apache.commons.lang.mutable.MutableDouble; |
| import org.apache.commons.lang.mutable.MutableLong; |
| |
| import java.util.HashMap; |
| import java.util.Map; |
| |
| /** |
| * 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<MachineKey, AverageData>(); |
| |
| public final transient DefaultOutputPort<KeyHashValPair<MachineKey, AverageData>> outputPort = new DefaultOutputPort<KeyHashValPair<MachineKey, AverageData>>() |
| { |
| 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<MachineKey, AverageData>(entry.getKey(), entry.getValue())); |
| } |
| } |
| sums.clear(); |
| } |
| |
| } |