hadoop item based collaborative filtering use case

package org.mymahout.recommendation.hadoop;


import java.io.File;


import java.io.IOException;


import java.util.Arrays;


import java.util.List;

import org.apache.hadoop.conf.Configuration;


import org.apache.hadoop.fs.FileSystem;


import org.apache.hadoop.fs.Path;


import org.apache.hadoop.mapred.JobConf;


import org.apache.hadoop.mapreduce.Job;


import org.apache.hadoop.mapreduce.filecache.DistributedCache;


import org.apache.hadoop.yarn.conf.YarnConfiguration;


import org.apache.mahout.cf.taste.hadoop.item.RecommenderJob;


import org.apache.mahout.math.Vector;


public class ItemCFHadoop1 {

private static final String HDFS = "hdfs://*********:9000";//hadoop hdfs 地址

public static void main(String[] args) throws Exception {


String localFile = "datafile/item.csv";


String inPath = HDFS + "/user/hdfs/userCF";


String inFile = inPath + "/item.csv";


String outPath = HDFS + "/user/hdfs/userCF/result/" + System.currentTimeMillis();


String outFile = outPath + "/part-r-00000";


String tmpPath = HDFS + "/tmp/rec001/" + System.currentTimeMillis();


Configuration conf = config();

HdfsUtils hdfs = new HdfsUtils(HDFS, conf);


hdfs.rmr(inPath);


hdfs.mkdirs(inPath);


hdfs.copyFile(localFile, inPath);


hdfs.ls(inPath);


hdfs.cat(inFile);


StringBuilder sb = new StringBuilder();


sb.append("--input ").append(inPath);//輸入文件的路徑


sb.append(" --output ").append(outPath); //輸出文件的路徑


sb.append(" --booleanData true");


sb.append(" --similarityClassname org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity");//歐幾里德相似度算法

sb.append(" --tempDir ").append(tmpPath);

sb.append(" --outputPathForSimilarityMatrix ").append(outPath); //是否要有item-item的similarity

args = sb.toString().split(" ");


// Add 3rd-party libraries






String[] mahoutJars = {


"/home/chenhuimin002/workspace/mahout-lib/mahout-math-1.0-SNAPSHOT.jar",


"/home/chenhuimin002/workspace/mahout-lib/mahout-integration-1.0-SNAPSHOT.jar",


"/home/chenhuimin002/workspace/mahout-lib/mahout-mrlegacy-1.0-SNAPSHOT.jar",


"/home/chenhuimin002/workspace/mahout-lib/mahout-mrlegacy-1.0-SNAPSHOT-job.jar" };


addJarToDistributedCache(Arrays.asList(mahoutJars), conf);


// addJarToDistributedCache(MySecondClass.class, conf);






RecommenderJob job = new RecommenderJob();


job.setConf(conf);


job.run(args);


hdfs.cat(outFile);


}


public static Configuration config() {


Configuration conf = new YarnConfiguration();


conf.set("fs.defaultFS", "hdfs://c0004649.itcs.hp.com:9000");


conf.set("mapreduce.framework.name", "yarn");


conf.set("yarn.resourcemanager.scheduler.address","c0004650.itcs.hp.com:8030");


conf.set("yarn.resourcemanager.address", "c0004650.itcs.hp.com:8032");


return conf;


}




private static void addJarToDistributedCache(Class classToAdd,


Configuration conf) throws IOException {


// Retrieve jar file for class2Add


String jar = classToAdd.getProtectionDomain().getCodeSource()


.getLocation().getPath();


System.out.println("jar=" + jar);


File jarFile = new File(jar);


// Declare new HDFS location


Path hdfsJar = new Path("/user/hadoop/lib/mahout/" + jarFile.getName());


// Mount HDFS


FileSystem hdfs = FileSystem.get(conf);

// Copy (override) jar file to HDFS


hdfs.copyFromLocalFile(false, true, new Path(jar), hdfsJar);






// Add jar to distributed classPath


DistributedCache.addFileToClassPath(hdfsJar, conf);


}

private static void addJarToDistributedCache(List<String> jarPaths,Configuration conf) throws IOException {


// Mount HDFS
FileSystem hdfs = FileSystem.get(conf);

for (String jar : jarPaths) {


File jarFile = new File(jar);


// Declare new HDFS location


Path hdfsJar = new Path("/user/hadoop/lib/mahout/"


+ jarFile.getName());


// Copy (override) jar file to HDFS


if (!hdfs.exists(hdfsJar)) {


hdfs.copyFromLocalFile(false, true, new Path(jar), hdfsJar);


}


// Add jar to distributed classPath


DistributedCache.addFileToClassPath(hdfsJar, conf);


}


}


}