/*
* 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.drivers;
import org.apache.commons.lang3.StringEscapeUtils;
import org.apache.commons.lang3.text.StrBuilder;
import org.apache.commons.lang3.text.WordUtils;
import org.apache.commons.math3.random.JDKRandomGenerator;
import org.apache.flink.api.common.JobExecutionResult;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.io.CsvOutputFormat;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.utils.DataSetUtils;
import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.client.program.ProgramParametrizationException;
import org.apache.flink.graph.Graph;
import org.apache.flink.graph.asm.simple.undirected.Simplify;
import org.apache.flink.graph.generator.RMatGraph;
import org.apache.flink.graph.generator.random.JDKRandomGeneratorFactory;
import org.apache.flink.graph.generator.random.RandomGenerableFactory;
import org.apache.flink.types.LongValue;
import org.apache.flink.types.NullValue;
import java.text.NumberFormat;
/**
* Generate an RMat graph for Graph 500.
*
* Note that this does not yet implement permutation of vertex labels or edges.
*
* @see <a href="http://www.graph500.org/specifications">Graph 500</a>
*/
public class Graph500 {
private static final int DEFAULT_SCALE = 10;
private static final int DEFAULT_EDGE_FACTOR = 16;
private static final boolean DEFAULT_SIMPLIFY = false;
private static final boolean DEFAULT_CLIP_AND_FLIP = true;
private static String getUsage(String message) {
return new StrBuilder()
.appendNewLine()
.appendln("A Graph500 generator using the Recursive Matrix (RMat) graph generator.")
.appendNewLine()
.appendln(WordUtils.wrap("The graph matrix contains 2^scale vertices although not every vertex will" +
" be represented in an edge. The number of edges is edge_factor * 2^scale edges" +
" although some edges may be duplicates.", 80))
.appendNewLine()
.appendln("Note: this does not yet implement permutation of vertex labels or edges.")
.appendNewLine()
.appendln(" --output print")
.appendln(" --output hash")
.appendln(" --output csv --output_filename FILENAME [--output_line_delimiter LINE_DELIMITER] [--output_field_delimiter FIELD_DELIMITER]")
.appendNewLine()
.appendln("Usage error: " + message)
.toString();
}
public static void main(String[] args) throws Exception {
// Set up the execution environment
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
env.getConfig().enableObjectReuse();
ParameterTool parameters = ParameterTool.fromArgs(args);
env.getConfig().setGlobalJobParameters(parameters);
// Generate RMat graph
int scale = parameters.getInt("scale", DEFAULT_SCALE);
int edgeFactor = parameters.getInt("edge_factor", DEFAULT_EDGE_FACTOR);
RandomGenerableFactory<JDKRandomGenerator> rnd = new JDKRandomGeneratorFactory();
long vertexCount = 1L << scale;
long edgeCount = vertexCount * edgeFactor;
boolean simplify = parameters.getBoolean("simplify", DEFAULT_SIMPLIFY);
boolean clipAndFlip = parameters.getBoolean("clip_and_flip", DEFAULT_CLIP_AND_FLIP);
Graph<LongValue, NullValue, NullValue> graph = new RMatGraph<>(env, rnd, vertexCount, edgeCount)
.generate();
if (simplify) {
graph = graph.run(new Simplify<LongValue, NullValue, NullValue>(clipAndFlip));
}
DataSet<Tuple2<LongValue,LongValue>> edges = graph
.getEdges()
.project(0, 1);
// Print, hash, or write RMat graph to disk
switch (parameters.get("output", "")) {
case "print":
edges.print();
break;
case "hash":
System.out.println(DataSetUtils.checksumHashCode(edges));
break;
case "csv":
String filename = parameters.get("filename");
String lineDelimiter = StringEscapeUtils.unescapeJava(
parameters.get("output_line_delimiter", CsvOutputFormat.DEFAULT_LINE_DELIMITER));
String fieldDelimiter = StringEscapeUtils.unescapeJava(
parameters.get("output_field_delimiter", CsvOutputFormat.DEFAULT_FIELD_DELIMITER));
edges.writeAsCsv(filename, lineDelimiter, fieldDelimiter);
env.execute("Graph500");
break;
default:
throw new ProgramParametrizationException(getUsage("invalid output type"));
}
JobExecutionResult result = env.getLastJobExecutionResult();
NumberFormat nf = NumberFormat.getInstance();
System.out.println("Execution runtime: " + nf.format(result.getNetRuntime()) + " ms");
}
}