Package org.apache.flink.test.iterative.nephele.danglingpagerank

Source Code of org.apache.flink.test.iterative.nephele.danglingpagerank.CompensatableDotProductCoGroup

/*
* 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.flink.test.iterative.nephele.danglingpagerank;

import java.util.Iterator;
import java.util.Set;

import org.apache.flink.api.java.record.functions.CoGroupFunction;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.test.iterative.nephele.ConfigUtils;
import org.apache.flink.types.DoubleValue;
import org.apache.flink.types.LongValue;
import org.apache.flink.types.Record;
import org.apache.flink.util.Collector;

public class CompensatableDotProductCoGroup extends CoGroupFunction {
 
  private static final long serialVersionUID = 1L;
 

  public static final String AGGREGATOR_NAME = "pagerank.aggregator";

  private Record accumulator = new Record();

  private int workerIndex;

  private int currentIteration;

  private int failingIteration;

  private Set<Integer> failingWorkers;

  private PageRankStatsAggregator aggregator;

  private long numVertices;

  private long numDanglingVertices;

  private double dampingFactor;

  private double danglingRankFactor;

  private static final double BETA = 0.85;

  private final DoubleValue newRank = new DoubleValue();

  private BooleanValue isDangling = new BooleanValue();

  private LongValue vertexID = new LongValue();

  private DoubleValue doubleInstance = new DoubleValue();

  @Override
  public void open(Configuration parameters) {
    workerIndex = getRuntimeContext().getIndexOfThisSubtask();
    currentIteration = getIterationRuntimeContext().getSuperstepNumber();
   
    failingIteration = ConfigUtils.asInteger("compensation.failingIteration", parameters);
    failingWorkers = ConfigUtils.asIntSet("compensation.failingWorker", parameters);
    numVertices = ConfigUtils.asLong("pageRank.numVertices", parameters);
    numDanglingVertices = ConfigUtils.asLong("pageRank.numDanglingVertices", parameters);

    dampingFactor = (1d - BETA) / (double) numVertices;
   
    aggregator = getIterationRuntimeContext().getIterationAggregator(AGGREGATOR_NAME);
   
    if (currentIteration == 1) {
      danglingRankFactor = BETA * (double) numDanglingVertices / ((double) numVertices * (double) numVertices);
    } else {
      PageRankStats previousAggregate = getIterationRuntimeContext().getPreviousIterationAggregate(AGGREGATOR_NAME);
      danglingRankFactor = BETA * previousAggregate.danglingRank() / (double) numVertices;
    }
  }

  @Override
  public void coGroup(Iterator<Record> currentPageRankIterator, Iterator<Record> partialRanks, Collector<Record> collector) {

    if (!currentPageRankIterator.hasNext()) {
      long missingVertex = partialRanks.next().getField(0, LongValue.class).getValue();
      throw new IllegalStateException("No current page rank for vertex [" + missingVertex + "]!");
    }

    Record currentPageRank = currentPageRankIterator.next();

    long edges = 0;
    double summedRank = 0;
    while (partialRanks.hasNext()) {
      Record pr = partialRanks.next();
      summedRank += pr.getField(1, doubleInstance).getValue();
      edges++;
    }

    double rank = BETA * summedRank + dampingFactor + danglingRankFactor;

    double currentRank = currentPageRank.getField(1, doubleInstance).getValue();
    isDangling = currentPageRank.getField(2, isDangling);

    double danglingRankToAggregate = isDangling.get() ? rank : 0;
    long danglingVerticesToAggregate = isDangling.get() ? 1 : 0;

    double diff = Math.abs(currentRank - rank);

    aggregator.aggregate(diff, rank, danglingRankToAggregate, danglingVerticesToAggregate, 1, edges, summedRank, 0);

    newRank.setValue(rank);

    accumulator.setField(0, currentPageRank.getField(0, vertexID));
    accumulator.setField(1, newRank);
    accumulator.setField(2, isDangling);

    collector.collect(accumulator);
  }

  @Override
  public void close() throws Exception {
    if (currentIteration == failingIteration && failingWorkers.contains(workerIndex)) {
      aggregator.reset();
    }
  }
}
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