1fec3ce4e1
(Updated version of [PR-9457](https://github.com/apache/spark/pull/9457), rebased on latest Spark master, and using mllib-local). This implements a parallel version of personalized pagerank, which runs all propagations for a list of source vertices in parallel. I ran a few benchmarks on the full [DBpedia](http://dbpedia.org/) graph. When running personalized pagerank for only one source node, the existing implementation is twice as fast as the parallel one (because of the SparseVector overhead). However for 10 source nodes, the parallel implementation is four times as fast. When increasing the number of source nodes, this difference becomes even greater.  Author: Yves Raimond <yraimond@netflix.com> Closes #14998 from moustaki/parallel-ppr.
87 lines
3.2 KiB
XML
87 lines
3.2 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!--
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~ Licensed to the Apache Software Foundation (ASF) under one or more
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~ contributor license agreements. See the NOTICE file distributed with
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~ this work for additional information regarding copyright ownership.
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~ The ASF licenses this file to You under the Apache License, Version 2.0
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~ (the "License"); you may not use this file except in compliance with
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~ the License. You may obtain a copy of the License at
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~
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~ http://www.apache.org/licenses/LICENSE-2.0
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~
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~ Unless required by applicable law or agreed to in writing, software
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~ distributed under the License is distributed on an "AS IS" BASIS,
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~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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~ See the License for the specific language governing permissions and
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~ limitations under the License.
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-->
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-parent_2.11</artifactId>
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<version>2.1.0-SNAPSHOT</version>
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<relativePath>../pom.xml</relativePath>
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</parent>
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<artifactId>spark-graphx_2.11</artifactId>
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<properties>
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<sbt.project.name>graphx</sbt.project.name>
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</properties>
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<packaging>jar</packaging>
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<name>Spark Project GraphX</name>
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<url>http://spark.apache.org/</url>
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<dependencies>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-core_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-core_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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<type>test-jar</type>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-mllib-local_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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</dependency>
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<dependency>
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<groupId>org.apache.xbean</groupId>
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<artifactId>xbean-asm5-shaded</artifactId>
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</dependency>
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<dependency>
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<groupId>com.google.guava</groupId>
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<artifactId>guava</artifactId>
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</dependency>
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<dependency>
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<groupId>com.github.fommil.netlib</groupId>
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<artifactId>core</artifactId>
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<version>${netlib.java.version}</version>
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</dependency>
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<dependency>
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<groupId>net.sourceforge.f2j</groupId>
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<artifactId>arpack_combined_all</artifactId>
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<version>0.1</version>
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</dependency>
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<dependency>
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<groupId>org.scalacheck</groupId>
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<artifactId>scalacheck_${scala.binary.version}</artifactId>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-tags_${scala.binary.version}</artifactId>
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</dependency>
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</dependencies>
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<build>
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<outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
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<testOutputDirectory>target/scala-${scala.binary.version}/test-classes</testOutputDirectory>
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</build>
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</project>
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