org.neo4j.gds.allshortestpaths.MSBFSAllShortestPaths Maven / Gradle / Ivy
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/*
* Copyright (c) "Neo4j"
* Neo4j Sweden AB [http://neo4j.com]
*
* This file is part of Neo4j.
*
* Neo4j is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
package org.neo4j.gds.allshortestpaths;
import org.neo4j.gds.api.Graph;
import org.neo4j.gds.core.concurrency.Concurrency;
import org.neo4j.gds.core.utils.progress.tasks.ProgressTracker;
import org.neo4j.gds.msbfs.MultiSourceBFSAccessMethods;
import org.neo4j.gds.termination.TerminationFlag;
import java.util.Optional;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.stream.Stream;
/**
* AllShortestPaths:
*
* multi-source parallel shortest path between each pair of nodes.
*
* Due to the high memory footprint the result set would have we emit each result into
* a blocking queue. The result stream takes elements from the queue while the workers
* add elements to it.
*/
public class MSBFSAllShortestPaths extends MSBFSASPAlgorithm {
private final BlockingQueue resultQueue = new LinkedBlockingQueue<>();
private final Graph graph;
private final Concurrency concurrency;
private final ExecutorService executorService;
public MSBFSAllShortestPaths(
Graph graph,
Concurrency concurrency,
ExecutorService executorService,
TerminationFlag terminationFlag
) {
super(ProgressTracker.NULL_TRACKER);
this.graph = graph;
this.concurrency = concurrency;
this.executorService = executorService;
this.terminationFlag = terminationFlag;
}
/**
* the compute(..) method starts the computation and
* returns a Stream of SP-Tuples (source, target, minDist)
*
* @return the result stream
*/
@Override
public Stream compute() {
progressTracker.beginSubTask();
executorService.submit(new ShortestPathTask(concurrency, executorService));
return AllShortestPathsStream.stream(resultQueue, progressTracker::endSubTask);
}
/**
* Dijkstra Task. Takes one element of the counter at a time
* and starts dijkstra on it. It starts emitting results to the
* queue once all reachable nodes have been visited.
*/
private final class ShortestPathTask implements Runnable {
private final Concurrency concurrency;
private final ExecutorService executorService;
private ShortestPathTask(
Concurrency concurrency,
ExecutorService executorService) {
this.concurrency = concurrency;
this.executorService = executorService;
}
@Override
public void run() {
MultiSourceBFSAccessMethods.aggregatedNeighborProcessing(
graph.nodeCount(),
graph,
(target, distance, sources) -> {
while (sources.hasNext()) {
long source = sources.nextLong();
var result = AllShortestPathsStreamResult.result(
graph.toOriginalNodeId(source),
graph.toOriginalNodeId(target),
distance
);
try {
resultQueue.put(result);
} catch (InterruptedException e) {
// notify JVM of the interrupt
Thread.currentThread().interrupt();
throw new RuntimeException(e);
}
}
progressTracker.logProgress();
},
Optional.empty(),
terminationFlag
).run(concurrency, executorService);
resultQueue.add(AllShortestPathsStreamResult.DONE);
}
}
}