/* * 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.graph.asm.simple.undirected; import org.apache.flink.api.common.functions.FlatMapFunction; import org.apache.flink.api.java.DataSet; import org.apache.flink.graph.Edge; import org.apache.flink.graph.Graph; import org.apache.flink.graph.utils.proxy.GraphAlgorithmWrappingGraph; import org.apache.flink.util.Collector; import org.apache.flink.util.Preconditions; import static org.apache.flink.api.common.ExecutionConfig.PARALLELISM_DEFAULT; /** * Add symmetric edges and remove self-loops and duplicate edges from an * undirected graph. * * @param <K> ID type * @param <VV> vertex value type * @param <EV> edge value type */ public class Simplify<K extends Comparable<K>, VV, EV> extends GraphAlgorithmWrappingGraph<K, VV, EV, K, VV, EV> { // Required configuration private boolean clipAndFlip; // Optional configuration private int parallelism = PARALLELISM_DEFAULT; /** * Simplifies an undirected graph by adding reverse edges and removing * self-loops and duplicate edges. * * When clip-and-flip is set, edges where source < target are removed * before symmetrizing the graph. * * @param clipAndFlip method for generating simple graph */ public Simplify(boolean clipAndFlip) { this.clipAndFlip = clipAndFlip; } /** * Override the operator parallelism. * * @param parallelism operator parallelism * @return this */ public Simplify<K, VV, EV> setParallelism(int parallelism) { Preconditions.checkArgument(parallelism > 0 || parallelism == PARALLELISM_DEFAULT, "The parallelism must be greater than zero."); this.parallelism = parallelism; return this; } @Override protected String getAlgorithmName() { return Simplify.class.getName(); } @Override protected boolean mergeConfiguration(GraphAlgorithmWrappingGraph other) { Preconditions.checkNotNull(other); if (! Simplify.class.isAssignableFrom(other.getClass())) { return false; } Simplify rhs = (Simplify) other; // verify that configurations can be merged if (clipAndFlip != rhs.clipAndFlip) { return false; } // merge configurations parallelism = (parallelism == PARALLELISM_DEFAULT) ? rhs.parallelism : ((rhs.parallelism == PARALLELISM_DEFAULT) ? parallelism : Math.min(parallelism, rhs.parallelism)); return true; } @Override public Graph<K, VV, EV> runInternal(Graph<K, VV, EV> input) throws Exception { // Edges DataSet<Edge<K, EV>> edges = input .getEdges() .flatMap(new SymmetrizeAndRemoveSelfLoops<K, EV>(clipAndFlip)) .setParallelism(parallelism) .name("Remove self-loops") .distinct(0, 1) .setParallelism(parallelism) .name("Remove duplicate edges"); // Graph return Graph.fromDataSet(input.getVertices(), edges, input.getContext()); } /** * Filter out edges where the source and target vertex IDs are equal and * for each edge also emit an edge with the vertex IDs flipped. * * @param <T> ID type * @param <ET> edge value type */ private static class SymmetrizeAndRemoveSelfLoops<T extends Comparable<T>, ET> implements FlatMapFunction<Edge<T, ET>, Edge<T, ET>> { private boolean clipAndFlip; public SymmetrizeAndRemoveSelfLoops(boolean clipAndFlip) { this.clipAndFlip = clipAndFlip; } @Override public void flatMap(Edge<T, ET> value, Collector<Edge<T, ET>> out) throws Exception { int comparison = value.f0.compareTo(value.f1); if ((clipAndFlip && comparison > 0) || (!clipAndFlip && comparison != 0)) { out.collect(value); T temp = value.f0; value.f0 = value.f1; value.f1 = temp; out.collect(value); } } } }