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[FLINK-3879] [gelly] Native implementation of HITS algorithm
This closes #1967
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flink-libraries/flink-gelly-examples/src/main/java/org/apache/flink/graph/examples/HITS.java
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| /* | ||
| * | ||
| * * 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. | ||
| * | ||
| */ | ||
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| package org.apache.flink.graph.examples; | ||
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| import org.apache.commons.lang3.StringEscapeUtils; | ||
| 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.utils.DataSetUtils; | ||
| import org.apache.flink.api.java.utils.ParameterTool; | ||
| import org.apache.flink.graph.Graph; | ||
| import org.apache.flink.graph.asm.simple.directed.Simplify; | ||
| import org.apache.flink.graph.asm.translate.LongValueToIntValue; | ||
| import org.apache.flink.graph.asm.translate.TranslateGraphIds; | ||
| 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.graph.library.link_analysis.HITS.Result; | ||
| import org.apache.flink.types.IntValue; | ||
| import org.apache.flink.types.LongValue; | ||
| import org.apache.flink.types.NullValue; | ||
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| import java.text.NumberFormat; | ||
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| /** | ||
| * Driver for the library implementation of HITS (Hubs and Authorities). | ||
| * | ||
| * This example reads a simple, undirected graph from a CSV file or generates | ||
| * an undirected RMat graph with the given scale and edge factor then calculates | ||
| * hub and authority scores for each vertex. | ||
| * | ||
| * @see org.apache.flink.graph.library.link_analysis.HITS | ||
| */ | ||
| public class HITS { | ||
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| public static final int DEFAULT_ITERATIONS = 10; | ||
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| public static final int DEFAULT_SCALE = 10; | ||
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| public static final int DEFAULT_EDGE_FACTOR = 16; | ||
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| private static void printUsage() { | ||
| System.out.println(WordUtils.wrap("", 80)); | ||
| System.out.println(); | ||
| System.out.println(WordUtils.wrap("", 80)); | ||
| System.out.println(); | ||
| System.out.println("usage: HITS --input <csv | rmat [options]> --output <print | hash | csv [options]"); | ||
| System.out.println(); | ||
| System.out.println("options:"); | ||
| System.out.println(" --input csv --input_filename FILENAME [--input_line_delimiter LINE_DELIMITER] [--input_field_delimiter FIELD_DELIMITER]"); | ||
| System.out.println(" --input rmat [--scale SCALE] [--edge_factor EDGE_FACTOR]"); | ||
| System.out.println(); | ||
| System.out.println(" --output print"); | ||
| System.out.println(" --output hash"); | ||
| System.out.println(" --output csv --output_filename FILENAME [--output_line_delimiter LINE_DELIMITER] [--output_field_delimiter FIELD_DELIMITER]"); | ||
| } | ||
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| public static void main(String[] args) throws Exception { | ||
| // Set up the execution environment | ||
| final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); | ||
| env.getConfig().enableObjectReuse(); | ||
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| ParameterTool parameters = ParameterTool.fromArgs(args); | ||
| int iterations = parameters.getInt("iterations", DEFAULT_ITERATIONS); | ||
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| DataSet hits; | ||
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| switch (parameters.get("input", "")) { | ||
| case "csv": { | ||
| String lineDelimiter = StringEscapeUtils.unescapeJava( | ||
| parameters.get("input_line_delimiter", CsvOutputFormat.DEFAULT_LINE_DELIMITER)); | ||
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| String fieldDelimiter = StringEscapeUtils.unescapeJava( | ||
| parameters.get("input_field_delimiter", CsvOutputFormat.DEFAULT_FIELD_DELIMITER)); | ||
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| Graph<LongValue, NullValue, NullValue> graph = Graph | ||
| .fromCsvReader(parameters.get("input_filename"), env) | ||
| .ignoreCommentsEdges("#") | ||
| .lineDelimiterEdges(lineDelimiter) | ||
| .fieldDelimiterEdges(fieldDelimiter) | ||
| .keyType(LongValue.class); | ||
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| hits = graph | ||
| .run(new org.apache.flink.graph.library.link_analysis.HITS<LongValue, NullValue, NullValue>(iterations)); | ||
| } break; | ||
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| case "rmat": { | ||
| int scale = parameters.getInt("scale", DEFAULT_SCALE); | ||
| int edgeFactor = parameters.getInt("edge_factor", DEFAULT_EDGE_FACTOR); | ||
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| RandomGenerableFactory<JDKRandomGenerator> rnd = new JDKRandomGeneratorFactory(); | ||
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| long vertexCount = 1L << scale; | ||
| long edgeCount = vertexCount * edgeFactor; | ||
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| Graph<LongValue, NullValue, NullValue> graph = new RMatGraph<>(env, rnd, vertexCount, edgeCount) | ||
| .generate() | ||
| .run(new Simplify<LongValue, NullValue, NullValue>()); | ||
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| if (parameters.get("algorithm").equals("HITS")) { | ||
| if (scale > 32) { | ||
| hits = graph | ||
| .run(new org.apache.flink.graph.library.link_analysis.HITS<LongValue, NullValue, NullValue>(iterations)); | ||
| } else { | ||
| hits = graph | ||
| .run(new TranslateGraphIds<LongValue, IntValue, NullValue, NullValue>(new LongValueToIntValue())) | ||
| .run(new org.apache.flink.graph.library.link_analysis.HITS<IntValue, NullValue, NullValue>(iterations)); | ||
| } | ||
| } else if (parameters.get("algorithm").equals("HITSAlgorithm")) { | ||
| if (scale > 32) { | ||
| hits = graph | ||
| .run(new org.apache.flink.graph.library.HITSAlgorithm<LongValue, NullValue, NullValue>(iterations)); | ||
| } else { | ||
| hits = graph | ||
| .run(new TranslateGraphIds<LongValue, IntValue, NullValue, NullValue>(new LongValueToIntValue())) | ||
| .run(new org.apache.flink.graph.library.HITSAlgorithm<IntValue, NullValue, NullValue>(iterations)); | ||
| } | ||
| } else { | ||
| return; | ||
| } | ||
| } break; | ||
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| default: | ||
| printUsage(); | ||
| return; | ||
| } | ||
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| switch (parameters.get("output", "")) { | ||
| case "print": | ||
| for (Object e: hits.collect()) { | ||
| if (parameters.get("algorithm").equals("HITS")) { | ||
| Result result = (Result)e; | ||
| System.out.println(result.toVerboseString()); | ||
| } else { | ||
| System.out.println(e); | ||
| } | ||
| } | ||
| break; | ||
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| case "hash": | ||
| System.out.println(DataSetUtils.checksumHashCode(hits)); | ||
| break; | ||
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| case "csv": | ||
| String filename = parameters.get("output_filename"); | ||
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| String lineDelimiter = StringEscapeUtils.unescapeJava( | ||
| parameters.get("output_line_delimiter", CsvOutputFormat.DEFAULT_LINE_DELIMITER)); | ||
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| String fieldDelimiter = StringEscapeUtils.unescapeJava( | ||
| parameters.get("output_field_delimiter", CsvOutputFormat.DEFAULT_FIELD_DELIMITER)); | ||
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| hits.writeAsCsv(filename, lineDelimiter, fieldDelimiter); | ||
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| env.execute(); | ||
| break; | ||
| default: | ||
| printUsage(); | ||
| return; | ||
| } | ||
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| JobExecutionResult result = env.getLastJobExecutionResult(); | ||
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| NumberFormat nf = NumberFormat.getInstance(); | ||
| System.out.println("Execution runtime: " + nf.format(result.getNetRuntime()) + " ms"); | ||
| } | ||
| } |
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