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

Source Code of org.apache.flink.test.iterative.nephele.customdanglingpagerank.CustomCompensatableDotProductCoGroup

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* 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
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*
*     http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.flink.test.iterative.nephele.customdanglingpagerank;

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

import org.apache.flink.api.common.functions.AbstractRichFunction;
import org.apache.flink.api.common.functions.CoGroupFunction;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.test.iterative.nephele.ConfigUtils;
import org.apache.flink.test.iterative.nephele.customdanglingpagerank.types.VertexWithRank;
import org.apache.flink.test.iterative.nephele.customdanglingpagerank.types.VertexWithRankAndDangling;
import org.apache.flink.test.iterative.nephele.danglingpagerank.PageRankStats;
import org.apache.flink.test.iterative.nephele.danglingpagerank.PageRankStatsAggregator;
import org.apache.flink.util.Collector;

public class CustomCompensatableDotProductCoGroup extends AbstractRichFunction implements CoGroupFunction<VertexWithRankAndDangling, VertexWithRank, VertexWithRankAndDangling> {

  private static final long serialVersionUID = 1L;

  public static final String AGGREGATOR_NAME = "pagerank.aggregator";
 
  private VertexWithRankAndDangling accumulator = new VertexWithRankAndDangling();

  private PageRankStatsAggregator aggregator;

  private long numVertices;

  private long numDanglingVertices;

  private double dampingFactor;

  private double danglingRankFactor;

  private static final double BETA = 0.85;
 
  private int workerIndex;
 
  private int currentIteration;
 
  private int failingIteration;
 
  private Set<Integer> failingWorkers;

  @Override
  public void open(Configuration parameters) throws Exception {
    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(Iterable<VertexWithRankAndDangling> currentPageRankIterable, Iterable<VertexWithRank> partialRanks,
      Collector<VertexWithRankAndDangling> collector)
  {
    final Iterator<VertexWithRankAndDangling> currentPageRankIterator = currentPageRankIterable.iterator();
   
    if (!currentPageRankIterator.hasNext()) {
      long missingVertex = partialRanks.iterator().next().getVertexID();
      throw new IllegalStateException("No current page rank for vertex [" + missingVertex + "]!");
    }

    VertexWithRankAndDangling currentPageRank = currentPageRankIterator.next();

    long edges = 0;
    double summedRank = 0;
    for (VertexWithRank pr :partialRanks) {
      summedRank += pr.getRank();
      edges++;
    }

    double rank = BETA * summedRank + dampingFactor + danglingRankFactor;

    double currentRank = currentPageRank.getRank();
    boolean isDangling = currentPageRank.isDangling();

    double danglingRankToAggregate = isDangling ? rank : 0;
    long danglingVerticesToAggregate = isDangling ? 1 : 0;

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

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

    accumulator.setVertexID(currentPageRank.getVertexID());
    accumulator.setRank(rank);
    accumulator.setDangling(isDangling);

    collector.collect(accumulator);
  }

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