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Oct 14, 2013
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Mahout分步式程序开发 基于物品的协同过滤ItemCF

Hadoop家族系列文章，主要介绍Hadoop家族产品，常用的项目包括Hadoop, Hive, Pig, HBase, Sqoop, Mahout, Zookeeper, Avro, Ambari, Chukwa，新增加的项目包括，YARN, Hcatalog, Oozie, Cassandra, Hama, Whirr, Flume, Bigtop, Crunch, Hue等。

从2011年开始，中国进入大数据风起云涌的时代，以Hadoop为代表的家族软件，占据了大数据处理的广阔地盘。开源界及厂商，所有数据软件，无一不向Hadoop靠拢。Hadoop也从小众的高富帅领域，变成了大数据开发的标准。在Hadoop原有技术基础之上，出现了Hadoop家族产品，通过“大数据”概念不断创新，推出科技进步。

作为IT界的开发人员，我们也要跟上节奏，抓住机遇，跟着Hadoop一起雄起！

关于作者：

  • 张丹(Conan), 程序员Java,R,PHP,Javascript
  • weibo：@Conan_Z
  • blog: http://blog.fens.me
  • email: bsspirit@gmail.com

转载请注明出处：
http://blog.fens.me/hadoop-mahout-mapreduce-itemcf/

mahout-hadoop-itemcf

前言

Mahout是Hadoop家族一员，从血缘就继承了Hadoop程序的特点，支持HDFS访问和MapReduce分步式算法。随着Mahout的发展，从0.7版本开始，Mahout做了重大的升级。移除了部分算法的单机内存计算，只支持基于Hadoop的MapReduce平行计算。

从这点上，我们能看出Mahout走向大数据，坚持并行化的决心！相信在Hadoop的大框架下，Mahout最终能成为一个大数据的明星产品！

目录

  1. Mahout开发环境介绍
  2. Mahout基于Hadoop的分步环境介绍
  3. 用Mahout实现协同过滤ItemCF
  4. 模板项目上传github

1. Mahout开发环境介绍

在 用Maven构建Mahout项目 文章中，我们已经配置好了基于Maven的Mahout的开发环境，我们将继续完成Mahout的分步式的程序开发。

本文的mahout版本为0.8。

开发环境：

  • Win7 64bit
  • Java 1.6.0_45
  • Maven 3
  • Eclipse Juno Service Release 2
  • Mahout 0.8
  • Hadoop 1.1.2

找到pom.xml，修改mahout版本为0.8

<mahout.version>0.8</mahout.version>

然后，下载依赖库。

~ mvn clean install

由于 org.conan.mymahout.cluster06.Kmeans.java 类代码，是基于mahout-0.6的，所以会报错。我们可以先注释这个文件。

2. Mahout基于Hadoop的分步环境介绍

hadoop-mahout-cluster-dev

如上图所示，我们可以选择在win7中开发，也可以在linux中开发，开发过程我们可以在本地环境进行调试，标配的工具都是Maven和Eclipse。

Mahout在运行过程中，会把MapReduce的算法程序包，自动发布的Hadoop的集群环境中，这种开发和运行模式，就和真正的生产环境差不多了。

3. 用Mahout实现协同过滤ItemCF

实现步骤:

  • 1. 准备数据文件: item.csv
  • 2. Java程序：HdfsDAO.java
  • 3. Java程序：ItemCFHadoop.java
  • 4. 运行程序
  • 5. 推荐结果解读

1). 准备数据文件: item.csv
上传测试数据到HDFS，单机内存实验请参考文章：用Maven构建Mahout项目


~ hadoop fs -mkdir /user/hdfs/userCF
~ hadoop fs -copyFromLocal /home/conan/datafiles/item.csv /user/hdfs/userCF

~ hadoop fs -cat /user/hdfs/userCF/item.csv
1,101,5.0
1,102,3.0
1,103,2.5
2,101,2.0
2,102,2.5
2,103,5.0
2,104,2.0
3,101,2.5
3,104,4.0
3,105,4.5
3,107,5.0
4,101,5.0
4,103,3.0
4,104,4.5
4,106,4.0
5,101,4.0
5,102,3.0
5,103,2.0
5,104,4.0
5,105,3.5
5,106,4.0

2). Java程序：HdfsDAO.java
HdfsDAO.java，是一个HDFS操作的工具，用API实现Hadoop的各种HDFS命令，请参考文章：Hadoop编程调用HDFS

我们这里会用到HdfsDAO.java类中的一些方法：


        HdfsDAO hdfs = new HdfsDAO(HDFS, conf);
        hdfs.rmr(inPath);
        hdfs.mkdirs(inPath);
        hdfs.copyFile(localFile, inPath);
        hdfs.ls(inPath);
        hdfs.cat(inFile);

3). Java程序：ItemCFHadoop.java
用Mahout实现分步式算法，我们看到Mahout in Action中的解释。

aglorithm_2

实现程序：


package org.conan.mymahout.recommendation;

import org.apache.hadoop.mapred.JobConf;
import org.apache.mahout.cf.taste.hadoop.item.RecommenderJob;
import org.conan.mymahout.hdfs.HdfsDAO;

public class ItemCFHadoop {

    private static final String HDFS = "hdfs://192.168.1.210:9000";

    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/";
        String outFile = outPath + "/part-r-00000";
        String tmpPath = HDFS + "/tmp/" + System.currentTimeMillis();

        JobConf conf = config();
        HdfsDAO hdfs = new HdfsDAO(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);
        sb.append(" --output ").append(outPath);
        sb.append(" --booleanData true");
        sb.append(" --similarityClassname org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity");
        sb.append(" --tempDir ").append(tmpPath);
        args = sb.toString().split(" ");

        RecommenderJob job = new RecommenderJob();
        job.setConf(conf);
        job.run(args);

        hdfs.cat(outFile);
    }

    public static JobConf config() {
        JobConf conf = new JobConf(ItemCFHadoop.class);
        conf.setJobName("ItemCFHadoop");
        conf.addResource("classpath:/hadoop/core-site.xml");
        conf.addResource("classpath:/hadoop/hdfs-site.xml");
        conf.addResource("classpath:/hadoop/mapred-site.xml");
        return conf;
    }
}

RecommenderJob.java，实际上就是封装了，上面整个图的分步式并行算法的执行过程！如果没有这层封装，我们需要自己去实现图中8个步骤MapReduce算法。

关于上面算法的深度剖析，请参考文章：R实现MapReduce的协同过滤算法

4). 运行程序
控制台输出：


Delete: hdfs://192.168.1.210:9000/user/hdfs/userCF
Create: hdfs://192.168.1.210:9000/user/hdfs/userCF
copy from: datafile/item.csv to hdfs://192.168.1.210:9000/user/hdfs/userCF
ls: hdfs://192.168.1.210:9000/user/hdfs/userCF
==========================================================
name: hdfs://192.168.1.210:9000/user/hdfs/userCF/item.csv, folder: false, size: 229
==========================================================
cat: hdfs://192.168.1.210:9000/user/hdfs/userCF/item.csv
1,101,5.0
1,102,3.0
1,103,2.5
2,101,2.0
2,102,2.5
2,103,5.0
2,104,2.0
3,101,2.5
3,104,4.0
3,105,4.5
3,107,5.0
4,101,5.0
4,103,3.0
4,104,4.5
4,106,4.0
5,101,4.0
5,102,3.0
5,103,2.0
5,104,4.0
5,105,3.5
5,106,4.0SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
2013-10-14 10:26:35 org.apache.hadoop.util.NativeCodeLoader 
警告: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
2013-10-14 10:26:35 org.apache.hadoop.mapreduce.lib.input.FileInputFormat listStatus
信息: Total input paths to process : 1
2013-10-14 10:26:35 org.apache.hadoop.io.compress.snappy.LoadSnappy 
警告: Snappy native library not loaded
2013-10-14 10:26:36 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Running job: job_local_0001
2013-10-14 10:26:36 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:36 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: io.sort.mb = 100
2013-10-14 10:26:36 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: data buffer = 79691776/99614720
2013-10-14 10:26:36 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: record buffer = 262144/327680
2013-10-14 10:26:36 org.apache.hadoop.mapred.MapTask$MapOutputBuffer flush
信息: Starting flush of map output
2013-10-14 10:26:36 org.apache.hadoop.io.compress.CodecPool getCompressor
信息: Got brand-new compressor
2013-10-14 10:26:36 org.apache.hadoop.mapred.MapTask$MapOutputBuffer sortAndSpill
信息: Finished spill 0
2013-10-14 10:26:36 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0001_m_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:36 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:36 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0001_m_000000_0' done.
2013-10-14 10:26:36 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:36 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:36 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Merging 1 sorted segments
2013-10-14 10:26:36 org.apache.hadoop.io.compress.CodecPool getDecompressor
信息: Got brand-new decompressor
2013-10-14 10:26:36 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Down to the last merge-pass, with 1 segments left of total size: 42 bytes
2013-10-14 10:26:36 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:36 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0001_r_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:36 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:36 org.apache.hadoop.mapred.Task commit
信息: Task attempt_local_0001_r_000000_0 is allowed to commit now
2013-10-14 10:26:36 org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter commitTask
信息: Saved output of task 'attempt_local_0001_r_000000_0' to hdfs://192.168.1.210:9000/tmp/1381717594500/preparePreferenceMatrix/itemIDIndex
2013-10-14 10:26:36 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: reduce > reduce
2013-10-14 10:26:36 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0001_r_000000_0' done.
2013-10-14 10:26:37 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息:  map 100% reduce 100%
2013-10-14 10:26:37 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Job complete: job_local_0001
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息: Counters: 19
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:   File Output Format Counters 
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Bytes Written=187
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:   FileSystemCounters
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_READ=3287330
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_READ=916
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_WRITTEN=3443292
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_WRITTEN=645
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:   File Input Format Counters 
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Bytes Read=229
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:   Map-Reduce Framework
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Map output materialized bytes=46
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Map input records=21
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Reduce shuffle bytes=0
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Spilled Records=14
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Map output bytes=84
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Total committed heap usage (bytes)=376569856
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     SPLIT_RAW_BYTES=116
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Combine input records=21
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Reduce input records=7
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Reduce input groups=7
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Combine output records=7
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Reduce output records=7
2013-10-14 10:26:37 org.apache.hadoop.mapred.Counters log
信息:     Map output records=21
2013-10-14 10:26:37 org.apache.hadoop.mapreduce.lib.input.FileInputFormat listStatus
信息: Total input paths to process : 1
2013-10-14 10:26:37 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Running job: job_local_0002
2013-10-14 10:26:37 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:37 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: io.sort.mb = 100
2013-10-14 10:26:37 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: data buffer = 79691776/99614720
2013-10-14 10:26:37 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: record buffer = 262144/327680
2013-10-14 10:26:37 org.apache.hadoop.mapred.MapTask$MapOutputBuffer flush
信息: Starting flush of map output
2013-10-14 10:26:37 org.apache.hadoop.mapred.MapTask$MapOutputBuffer sortAndSpill
信息: Finished spill 0
2013-10-14 10:26:37 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0002_m_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:37 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:37 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0002_m_000000_0' done.
2013-10-14 10:26:37 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:37 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:37 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Merging 1 sorted segments
2013-10-14 10:26:37 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Down to the last merge-pass, with 1 segments left of total size: 68 bytes
2013-10-14 10:26:37 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:37 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0002_r_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:37 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:37 org.apache.hadoop.mapred.Task commit
信息: Task attempt_local_0002_r_000000_0 is allowed to commit now
2013-10-14 10:26:37 org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter commitTask
信息: Saved output of task 'attempt_local_0002_r_000000_0' to hdfs://192.168.1.210:9000/tmp/1381717594500/preparePreferenceMatrix/userVectors
2013-10-14 10:26:37 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: reduce > reduce
2013-10-14 10:26:37 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0002_r_000000_0' done.
2013-10-14 10:26:38 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息:  map 100% reduce 100%
2013-10-14 10:26:38 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Job complete: job_local_0002
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息: Counters: 20
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:   org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer$Counters
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     USERS=5
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:   File Output Format Counters 
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Bytes Written=288
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:   FileSystemCounters
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_READ=6574274
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_READ=1374
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_WRITTEN=6887592
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_WRITTEN=1120
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:   File Input Format Counters 
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Bytes Read=229
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:   Map-Reduce Framework
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Map output materialized bytes=72
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Map input records=21
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Reduce shuffle bytes=0
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Spilled Records=42
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Map output bytes=63
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Total committed heap usage (bytes)=575930368
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     SPLIT_RAW_BYTES=116
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Combine input records=0
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Reduce input records=21
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Reduce input groups=5
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Combine output records=0
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Reduce output records=5
2013-10-14 10:26:38 org.apache.hadoop.mapred.Counters log
信息:     Map output records=21
2013-10-14 10:26:38 org.apache.hadoop.mapreduce.lib.input.FileInputFormat listStatus
信息: Total input paths to process : 1
2013-10-14 10:26:38 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Running job: job_local_0003
2013-10-14 10:26:38 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:38 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: io.sort.mb = 100
2013-10-14 10:26:38 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: data buffer = 79691776/99614720
2013-10-14 10:26:38 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: record buffer = 262144/327680
2013-10-14 10:26:38 org.apache.hadoop.mapred.MapTask$MapOutputBuffer flush
信息: Starting flush of map output
2013-10-14 10:26:38 org.apache.hadoop.mapred.MapTask$MapOutputBuffer sortAndSpill
信息: Finished spill 0
2013-10-14 10:26:38 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0003_m_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:38 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:38 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0003_m_000000_0' done.
2013-10-14 10:26:38 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:38 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:38 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Merging 1 sorted segments
2013-10-14 10:26:38 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Down to the last merge-pass, with 1 segments left of total size: 89 bytes
2013-10-14 10:26:38 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:38 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0003_r_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:38 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:38 org.apache.hadoop.mapred.Task commit
信息: Task attempt_local_0003_r_000000_0 is allowed to commit now
2013-10-14 10:26:38 org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter commitTask
信息: Saved output of task 'attempt_local_0003_r_000000_0' to hdfs://192.168.1.210:9000/tmp/1381717594500/preparePreferenceMatrix/ratingMatrix
2013-10-14 10:26:38 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: reduce > reduce
2013-10-14 10:26:38 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0003_r_000000_0' done.
2013-10-14 10:26:39 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息:  map 100% reduce 100%
2013-10-14 10:26:39 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Job complete: job_local_0003
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息: Counters: 21
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:   File Output Format Counters 
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Bytes Written=335
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:   org.apache.mahout.cf.taste.hadoop.preparation.ToItemVectorsMapper$Elements
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     USER_RATINGS_NEGLECTED=0
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     USER_RATINGS_USED=21
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:   FileSystemCounters
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_READ=9861349
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_READ=1950
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_WRITTEN=10331958
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_WRITTEN=1751
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:   File Input Format Counters 
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Bytes Read=288
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:   Map-Reduce Framework
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Map output materialized bytes=93
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Map input records=5
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Reduce shuffle bytes=0
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Spilled Records=14
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Map output bytes=336
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Total committed heap usage (bytes)=775290880
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     SPLIT_RAW_BYTES=157
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Combine input records=21
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Reduce input records=7
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Reduce input groups=7
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Combine output records=7
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Reduce output records=7
2013-10-14 10:26:39 org.apache.hadoop.mapred.Counters log
信息:     Map output records=21
2013-10-14 10:26:39 org.apache.hadoop.mapreduce.lib.input.FileInputFormat listStatus
信息: Total input paths to process : 1
2013-10-14 10:26:39 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Running job: job_local_0004
2013-10-14 10:26:39 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:39 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: io.sort.mb = 100
2013-10-14 10:26:39 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: data buffer = 79691776/99614720
2013-10-14 10:26:39 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: record buffer = 262144/327680
2013-10-14 10:26:39 org.apache.hadoop.mapred.MapTask$MapOutputBuffer flush
信息: Starting flush of map output
2013-10-14 10:26:39 org.apache.hadoop.mapred.MapTask$MapOutputBuffer sortAndSpill
信息: Finished spill 0
2013-10-14 10:26:39 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0004_m_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:39 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:39 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0004_m_000000_0' done.
2013-10-14 10:26:39 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:39 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:39 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Merging 1 sorted segments
2013-10-14 10:26:39 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Down to the last merge-pass, with 1 segments left of total size: 118 bytes
2013-10-14 10:26:39 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:39 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0004_r_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:39 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:39 org.apache.hadoop.mapred.Task commit
信息: Task attempt_local_0004_r_000000_0 is allowed to commit now
2013-10-14 10:26:39 org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter commitTask
信息: Saved output of task 'attempt_local_0004_r_000000_0' to hdfs://192.168.1.210:9000/tmp/1381717594500/weights
2013-10-14 10:26:39 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: reduce > reduce
2013-10-14 10:26:39 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0004_r_000000_0' done.
2013-10-14 10:26:40 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息:  map 100% reduce 100%
2013-10-14 10:26:40 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Job complete: job_local_0004
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息: Counters: 20
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:   File Output Format Counters 
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Bytes Written=381
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:   FileSystemCounters
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_READ=13148476
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_READ=2628
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_WRITTEN=13780408
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_WRITTEN=2551
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:   File Input Format Counters 
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Bytes Read=335
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:   org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob$Counters
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     ROWS=7
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:   Map-Reduce Framework
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Map output materialized bytes=122
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Map input records=7
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Reduce shuffle bytes=0
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Spilled Records=16
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Map output bytes=516
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Total committed heap usage (bytes)=974651392
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     SPLIT_RAW_BYTES=158
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Combine input records=24
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Reduce input records=8
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Reduce input groups=8
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Combine output records=8
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Reduce output records=5
2013-10-14 10:26:40 org.apache.hadoop.mapred.Counters log
信息:     Map output records=24
2013-10-14 10:26:40 org.apache.hadoop.mapreduce.lib.input.FileInputFormat listStatus
信息: Total input paths to process : 1
2013-10-14 10:26:40 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Running job: job_local_0005
2013-10-14 10:26:40 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:40 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: io.sort.mb = 100
2013-10-14 10:26:40 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: data buffer = 79691776/99614720
2013-10-14 10:26:40 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: record buffer = 262144/327680
2013-10-14 10:26:40 org.apache.hadoop.mapred.MapTask$MapOutputBuffer flush
信息: Starting flush of map output
2013-10-14 10:26:40 org.apache.hadoop.mapred.MapTask$MapOutputBuffer sortAndSpill
信息: Finished spill 0
2013-10-14 10:26:40 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0005_m_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:40 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:40 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0005_m_000000_0' done.
2013-10-14 10:26:40 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:40 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:40 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Merging 1 sorted segments
2013-10-14 10:26:40 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Down to the last merge-pass, with 1 segments left of total size: 121 bytes
2013-10-14 10:26:40 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:40 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0005_r_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:40 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:40 org.apache.hadoop.mapred.Task commit
信息: Task attempt_local_0005_r_000000_0 is allowed to commit now
2013-10-14 10:26:40 org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter commitTask
信息: Saved output of task 'attempt_local_0005_r_000000_0' to hdfs://192.168.1.210:9000/tmp/1381717594500/pairwiseSimilarity
2013-10-14 10:26:40 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: reduce > reduce
2013-10-14 10:26:40 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0005_r_000000_0' done.
2013-10-14 10:26:41 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息:  map 100% reduce 100%
2013-10-14 10:26:41 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Job complete: job_local_0005
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息: Counters: 21
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:   File Output Format Counters 
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Bytes Written=392
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:   FileSystemCounters
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_READ=16435577
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_READ=3488
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_WRITTEN=17230010
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_WRITTEN=3408
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:   File Input Format Counters 
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Bytes Read=381
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:   org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob$Counters
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     PRUNED_COOCCURRENCES=0
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     COOCCURRENCES=57
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:   Map-Reduce Framework
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Map output materialized bytes=125
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Map input records=5
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Reduce shuffle bytes=0
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Spilled Records=14
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Map output bytes=744
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Total committed heap usage (bytes)=1174011904
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     SPLIT_RAW_BYTES=129
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Combine input records=21
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Reduce input records=7
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Reduce input groups=7
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Combine output records=7
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Reduce output records=7
2013-10-14 10:26:41 org.apache.hadoop.mapred.Counters log
信息:     Map output records=21
2013-10-14 10:26:41 org.apache.hadoop.mapreduce.lib.input.FileInputFormat listStatus
信息: Total input paths to process : 1
2013-10-14 10:26:41 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Running job: job_local_0006
2013-10-14 10:26:41 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:41 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: io.sort.mb = 100
2013-10-14 10:26:41 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: data buffer = 79691776/99614720
2013-10-14 10:26:41 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: record buffer = 262144/327680
2013-10-14 10:26:41 org.apache.hadoop.mapred.MapTask$MapOutputBuffer flush
信息: Starting flush of map output
2013-10-14 10:26:41 org.apache.hadoop.mapred.MapTask$MapOutputBuffer sortAndSpill
信息: Finished spill 0
2013-10-14 10:26:41 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0006_m_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:41 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:41 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0006_m_000000_0' done.
2013-10-14 10:26:41 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:41 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:41 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Merging 1 sorted segments
2013-10-14 10:26:41 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Down to the last merge-pass, with 1 segments left of total size: 158 bytes
2013-10-14 10:26:41 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:41 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0006_r_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:41 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:41 org.apache.hadoop.mapred.Task commit
信息: Task attempt_local_0006_r_000000_0 is allowed to commit now
2013-10-14 10:26:41 org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter commitTask
信息: Saved output of task 'attempt_local_0006_r_000000_0' to hdfs://192.168.1.210:9000/tmp/1381717594500/similarityMatrix
2013-10-14 10:26:41 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: reduce > reduce
2013-10-14 10:26:41 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0006_r_000000_0' done.
2013-10-14 10:26:42 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息:  map 100% reduce 100%
2013-10-14 10:26:42 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Job complete: job_local_0006
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息: Counters: 19
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:   File Output Format Counters 
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Bytes Written=554
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:   FileSystemCounters
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_READ=19722740
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_READ=4342
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_WRITTEN=20674772
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_WRITTEN=4354
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:   File Input Format Counters 
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Bytes Read=392
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:   Map-Reduce Framework
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Map output materialized bytes=162
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Map input records=7
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Reduce shuffle bytes=0
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Spilled Records=14
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Map output bytes=599
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Total committed heap usage (bytes)=1373372416
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     SPLIT_RAW_BYTES=140
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Combine input records=25
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Reduce input records=7
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Reduce input groups=7
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Combine output records=7
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Reduce output records=7
2013-10-14 10:26:42 org.apache.hadoop.mapred.Counters log
信息:     Map output records=25
2013-10-14 10:26:42 org.apache.hadoop.mapreduce.lib.input.FileInputFormat listStatus
信息: Total input paths to process : 1
2013-10-14 10:26:42 org.apache.hadoop.mapreduce.lib.input.FileInputFormat listStatus
信息: Total input paths to process : 1
2013-10-14 10:26:42 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Running job: job_local_0007
2013-10-14 10:26:42 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:42 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: io.sort.mb = 100
2013-10-14 10:26:42 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: data buffer = 79691776/99614720
2013-10-14 10:26:42 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: record buffer = 262144/327680
2013-10-14 10:26:42 org.apache.hadoop.mapred.MapTask$MapOutputBuffer flush
信息: Starting flush of map output
2013-10-14 10:26:42 org.apache.hadoop.mapred.MapTask$MapOutputBuffer sortAndSpill
信息: Finished spill 0
2013-10-14 10:26:42 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0007_m_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:42 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:42 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0007_m_000000_0' done.
2013-10-14 10:26:42 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:42 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: io.sort.mb = 100
2013-10-14 10:26:42 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: data buffer = 79691776/99614720
2013-10-14 10:26:42 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: record buffer = 262144/327680
2013-10-14 10:26:42 org.apache.hadoop.mapred.MapTask$MapOutputBuffer flush
信息: Starting flush of map output
2013-10-14 10:26:42 org.apache.hadoop.mapred.MapTask$MapOutputBuffer sortAndSpill
信息: Finished spill 0
2013-10-14 10:26:42 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0007_m_000001_0 is done. And is in the process of commiting
2013-10-14 10:26:42 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:42 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0007_m_000001_0' done.
2013-10-14 10:26:42 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:42 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:42 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Merging 2 sorted segments
2013-10-14 10:26:42 org.apache.hadoop.io.compress.CodecPool getDecompressor
信息: Got brand-new decompressor
2013-10-14 10:26:42 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Down to the last merge-pass, with 2 segments left of total size: 233 bytes
2013-10-14 10:26:42 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:42 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0007_r_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:42 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:42 org.apache.hadoop.mapred.Task commit
信息: Task attempt_local_0007_r_000000_0 is allowed to commit now
2013-10-14 10:26:42 org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter commitTask
信息: Saved output of task 'attempt_local_0007_r_000000_0' to hdfs://192.168.1.210:9000/tmp/1381717594500/partialMultiply
2013-10-14 10:26:42 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: reduce > reduce
2013-10-14 10:26:42 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0007_r_000000_0' done.
2013-10-14 10:26:43 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息:  map 100% reduce 100%
2013-10-14 10:26:43 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Job complete: job_local_0007
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息: Counters: 19
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:   File Output Format Counters 
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Bytes Written=572
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:   FileSystemCounters
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_READ=34517913
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_READ=8751
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_WRITTEN=36182630
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_WRITTEN=7934
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:   File Input Format Counters 
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Bytes Read=0
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:   Map-Reduce Framework
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Map output materialized bytes=241
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Map input records=12
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Reduce shuffle bytes=0
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Spilled Records=56
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Map output bytes=453
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Total committed heap usage (bytes)=2558459904
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     SPLIT_RAW_BYTES=665
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Combine input records=0
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Reduce input records=28
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Reduce input groups=7
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Combine output records=0
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Reduce output records=7
2013-10-14 10:26:43 org.apache.hadoop.mapred.Counters log
信息:     Map output records=28
2013-10-14 10:26:43 org.apache.hadoop.mapreduce.lib.input.FileInputFormat listStatus
信息: Total input paths to process : 1
2013-10-14 10:26:43 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Running job: job_local_0008
2013-10-14 10:26:43 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:43 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: io.sort.mb = 100
2013-10-14 10:26:43 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: data buffer = 79691776/99614720
2013-10-14 10:26:43 org.apache.hadoop.mapred.MapTask$MapOutputBuffer 
信息: record buffer = 262144/327680
2013-10-14 10:26:43 org.apache.hadoop.mapred.MapTask$MapOutputBuffer flush
信息: Starting flush of map output
2013-10-14 10:26:43 org.apache.hadoop.mapred.MapTask$MapOutputBuffer sortAndSpill
信息: Finished spill 0
2013-10-14 10:26:43 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0008_m_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:43 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:43 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0008_m_000000_0' done.
2013-10-14 10:26:43 org.apache.hadoop.mapred.Task initialize
信息:  Using ResourceCalculatorPlugin : null
2013-10-14 10:26:43 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:43 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Merging 1 sorted segments
2013-10-14 10:26:43 org.apache.hadoop.mapred.Merger$MergeQueue merge
信息: Down to the last merge-pass, with 1 segments left of total size: 206 bytes
2013-10-14 10:26:43 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:43 org.apache.hadoop.mapred.Task done
信息: Task:attempt_local_0008_r_000000_0 is done. And is in the process of commiting
2013-10-14 10:26:43 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: 
2013-10-14 10:26:43 org.apache.hadoop.mapred.Task commit
信息: Task attempt_local_0008_r_000000_0 is allowed to commit now
2013-10-14 10:26:43 org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter commitTask
信息: Saved output of task 'attempt_local_0008_r_000000_0' to hdfs://192.168.1.210:9000/user/hdfs/userCF/result
2013-10-14 10:26:43 org.apache.hadoop.mapred.LocalJobRunner$Job statusUpdate
信息: reduce > reduce
2013-10-14 10:26:43 org.apache.hadoop.mapred.Task sendDone
信息: Task 'attempt_local_0008_r_000000_0' done.
2013-10-14 10:26:44 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息:  map 100% reduce 100%
2013-10-14 10:26:44 org.apache.hadoop.mapred.JobClient monitorAndPrintJob
信息: Job complete: job_local_0008
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息: Counters: 19
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:   File Output Format Counters 
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Bytes Written=217
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:   FileSystemCounters
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_READ=26299802
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_READ=7357
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     FILE_BYTES_WRITTEN=27566408
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     HDFS_BYTES_WRITTEN=6269
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:   File Input Format Counters 
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Bytes Read=572
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:   Map-Reduce Framework
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Map output materialized bytes=210
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Map input records=7
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Reduce shuffle bytes=0
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Spilled Records=42
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Map output bytes=927
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Total committed heap usage (bytes)=1971453952
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     SPLIT_RAW_BYTES=137
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Combine input records=0
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Reduce input records=21
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Reduce input groups=5
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Combine output records=0
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Reduce output records=5
2013-10-14 10:26:44 org.apache.hadoop.mapred.Counters log
信息:     Map output records=21
cat: hdfs://192.168.1.210:9000/user/hdfs/userCF/result//part-r-00000
1	[104:1.280239,106:1.1462644,105:1.0653841,107:0.33333334]
2	[106:1.560478,105:1.4795978,107:0.69935876]
3	[103:1.2475469,106:1.1944525,102:1.1462644]
4	[102:1.6462644,105:1.5277859,107:0.69935876]
5	[107:1.1993587]

5). 推荐结果解读
我们可以把上面的日志分解析成3个部分解读

  • a. 初始化环境
  • b. 算法执行
  • c. 打印推荐结果

a. 初始化环境
出初HDFS的数据目录和工作目录，并上传数据文件。


Delete: hdfs://192.168.1.210:9000/user/hdfs/userCF
Create: hdfs://192.168.1.210:9000/user/hdfs/userCF
copy from: datafile/item.csv to hdfs://192.168.1.210:9000/user/hdfs/userCF
ls: hdfs://192.168.1.210:9000/user/hdfs/userCF
==========================================================
name: hdfs://192.168.1.210:9000/user/hdfs/userCF/item.csv, folder: false, size: 229
==========================================================
cat: hdfs://192.168.1.210:9000/user/hdfs/userCF/item.csv

b. 算法执行
分别执行，上图中对应的8种MapReduce算法。
Job complete: job_local_0001
Job complete: job_local_0002
Job complete: job_local_0003
Job complete: job_local_0004
Job complete: job_local_0005
Job complete: job_local_0006
Job complete: job_local_0007
Job complete: job_local_0008

c. 打印推荐结果

方便我们看到计算后的推荐结果


cat: hdfs://192.168.1.210:9000/user/hdfs/userCF/result//part-r-00000
1	[104:1.280239,106:1.1462644,105:1.0653841,107:0.33333334]
2	[106:1.560478,105:1.4795978,107:0.69935876]
3	[103:1.2475469,106:1.1944525,102:1.1462644]
4	[102:1.6462644,105:1.5277859,107:0.69935876]
5	[107:1.1993587]

4. 模板项目上传github

https://github.com/bsspirit/maven_mahout_template/tree/mahout-0.8

大家可以下载这个项目，做为开发的起点。


~ git clone https://github.com/bsspirit/maven_mahout_template
~ git checkout mahout-0.8

我们完成了基于物品的协同过滤分步式算法实现，下面将继续介绍Mahout的Kmeans的分步式算法实现，请参考文章：Mahout分步式程序开发 聚类Kmeans

转载请注明出处：
http://blog.fens.me/hadoop-mahout-mapreduce-itemcf/

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This entry was posted in Hadoop实践, JAVA语言实践, 数据挖掘, 架构设计

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[…] 下一篇：Mahout分步式程序开发 基于物品的协同过滤ItemCF […]

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[…] 接上一篇文章：Mahout分步式程序开发 基于物品的协同过滤ItemCF […]

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hanghang727

写的非常好，还有一些地方我不太明白：
开发环境必须是集群的一个节点么？如果不是开发环境是怎么知道hadoop集群的相关信息的？是不是将集群master主机的hadoop文件夹复制到开发机本地，然后再conifg（）里面调用它的xml文件？maven项目编译之后生成的jar，是需要手动提交job到hadoop集群上，还是通过eclipse的某个插件？怎么在ide上调试运行在hadoop集群上的mahout程序？
Thank you！

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Conan Zhang

1. 开发环境与集群没有关系
2. 把master的配置文件复制到开发环境
3. 我没有通过maven编译，在eclipse里编译，JobConf类，会完成打包上传的工作。
4. 没有用到eclipse的插件
5. 我有在IDE里debug远程hadoop，这个习惯不太好。
6. 似乎你对于hadoop开发还不是太熟悉，先不要考虑mahout的事情。
7. 看这篇文章，先把hadoop学会。
http://blog.fens.me/hadoop-maven-eclipse/

0
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lan

请问该算法的推荐质量如何评价呢？有计算mae的方法吗，谢谢

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Conan Zhang

1. mae 是什么？
2. 推荐质量如何评价
http://blog.fens.me/mahout-recommendation-api

0
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zhangm

这个评价是单机上的吧，有分布式的评价方法吗

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chris

我也是同样的问题，请问你现在解决了嘛？

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trackback

[…] Mahout的实现方案，请参考文章：Mahout分步式程序开发 基于物品的协同过滤ItemCF […]

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trackback

[…] 开发环境mahout版本为0.8。 ，请参考文章：用Maven构建Mahout项目 […]

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Xuesong

请教Mahout的taste算法如何实现分布式计算？其中DataModel的数据源是读取Mongodb的数据库。

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Conan Zhang

把MongoDB的数据，导入到HDFS

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Xuesong

您好，我用mahout的taste方法做了电影的推荐算法，数据是从mongodb读取生成datamodule。现想用mapreduce实现分布式运算，请您指教该如何做？

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george

请问如何用mahout读取mongodb

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Conan Zhang

通过java的mongodb的API就可以访问了。

http://docs.mongodb.org/ecosystem/drivers/java/

0
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Xuesong

请教：在 cdh 5 的环境中运行程序，出现以下的exception，请问帮助分析问题的原因和解决方法，谢谢。

[hdfs@hadoop140 mahout]$ hadoop jar /home/mahout/myMahout.jar
mahout in hadoop cluster running…

14/04/25 17:21:16 INFO common.AbstractJob: Command line arguments: {–booleanData=[true], –endPhase=[2147483647], –input=[hdfs://192.168.1.140:9000/user/hdfs/userCF], –maxPrefsPerUser=[10], –maxPrefsPerUserInItemSimilarity=[1000], –maxSimilaritiesPerItem=[100], –minPrefsPerUser=[1], –numRecommendations=[10], –output=[hdfs://192.168.1.140:9000/user/hdfs/userCF/result/], –similarityClassname=[org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity], –startPhase=[0], –tempDir=[hdfs://192.168.1.140:9000/tmp/1398417675558]}
14/04/25 17:21:16 INFO common.AbstractJob: Command line arguments: {–booleanData=[true], –endPhase=[2147483647], –input=[hdfs://192.168.1.140:9000/user/hdfs/userCF], –maxPrefsPerUser=[1000], –minPrefsPerUser=[1], –output=[hdfs://192.168.1.140:9000/tmp/1398417675558/preparePreferenceMatrix], –ratingShift=[0.0], –startPhase=[0], –tempDir=[hdfs://192.168.1.140:9000/tmp/1398417675558]}
14/04/25 17:21:17 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
14/04/25 17:21:17 INFO Configuration.deprecation: mapred.compress.map.output is deprecated. Instead, use mapreduce.map.output.compress
14/04/25 17:21:17 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
Exception in thread “main” java.lang.IncompatibleClassChangeError: Found interface org.apache.hadoop.mapreduce.JobContext, but class was expected
at org.apache.mahout.common.HadoopUtil.getCustomJobName(HadoopUtil.java:174)
at org.apache.mahout.common.AbstractJob.prepareJob(AbstractJob.java:614)
at org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob.run(PreparePreferenceMatrixJob.java:75)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.mahout.cf.taste.hadoop.item.RecommenderJob.run(RecommenderJob.java:158)
at org.conan.mymahout.recommendation.ItemCFHadoop.main(ItemCFHadoop.java:40)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.RunJar.main(RunJar.java:212)

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Conan Zhang

错误已经提示了IncompatibleClassChangeError， 你的版本不兼容。

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Xuesong

执行的是此文中的代码，能具体讲讲是哪方面不兼容吗？

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Conan Zhang

你为什么不用文章中指定版本的Hadoop呢？

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Xuesong

好吧，我的当前的开发环境以及未来的生产环境都将为CDH5。在项目中修改所依赖的CDH5的0.8 distribution of Mahout，我想应该可行。

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Conan Zhang

你既然已经选择了版本，是否与mahout 0.8兼容的问题，就要自己解决了。应该没有人能回答你遇到的问题。

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hackerwin7

你好，请教下，我按你的方式搭建了这样一个mahout分布式平台，并运行程序，出现以下异常：

Delete: hdfs://localhost:9000/user/hadoop/input

Create: hdfs://localhost:9000/user/hadoop/input

copy from: datafile/item.csv to hdfs://localhost:9000/user/hadoop/input

ls: hdfs://localhost:9000/user/hadoop/input

==========================================================

name: hdfs://localhost:9000/user/hadoop/input/item.csv, folder: false, size: 211

==========================================================

cat: hdfs://localhost:9000/user/hadoop/input/item.csv

1,101,5.0

1,102,3.0

1,103,2.5

2,101,2.0

2,102,2.5

2,103,5.0

2,104,2.0

3,101,2.5

3,104,4.0

3,105,4.5

3,107,5.0

4,101,5.0

4,103,3.0

4,104,4.5

4,106,4.0

5,101,4.0

5,102,3.0

5,103,2.0

5,104,4.0

5,105,3.5

5,106,4.0

SLF4J: Failed to load class “org.slf4j.impl.StaticLoggerBinder”.

SLF4J: Defaulting to no-operation (NOP) logger implementation

SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.

六月 08, 2014 10:07:14 上午 org.apache.hadoop.util.NativeCodeLoader

警告: Unable to load native-hadoop library for your platform… using builtin-java classes where applicable

六月 08, 2014 10:07:14 上午 org.apache.hadoop.mapreduce.lib.input.FileInputFormat listStatus

信息: Total input paths to process : 1

六月 08, 2014 10:07:14 上午 org.apache.hadoop.io.compress.snappy.LoadSnappy

警告: Snappy native library not loaded

六月 08, 2014 10:07:14 上午 org.apache.hadoop.mapred.JobClient monitorAndPrintJob

信息: Running job: job_local_0001

六月 08, 2014 10:07:15 上午 org.apache.hadoop.util.ProcessTree isSetsidSupported

信息: setsid exited with exit code 0

六月 08, 2014 10:07:15 上午 org.apache.hadoop.mapred.Task initialize

信息: Using ResourceCalculatorPlugin : org.apache.hadoop.util.LinuxResourceCalculatorPlugin@1d69103

六月 08, 2014 10:07:15 上午 org.apache.hadoop.mapred.MapTask$MapOutputBuffer

信息: io.sort.mb = 100

六月 08, 2014 10:07:15 上午 org.apache.hadoop.mapred.MapTask$MapOutputBuffer

信息: data buffer = 79691776/99614720

六月 08, 2014 10:07:15 上午 org.apache.hadoop.mapred.MapTask$MapOutputBuffer

信息: record buffer = 262144/327680

六月 08, 2014 10:07:15 上午 org.apache.hadoop.mapred.LocalJobRunner$Job run

警告: job_local_0001

java.lang.ArrayIndexOutOfBoundsException: 1

at org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper.map(ItemIDIndexMapper.java:50)

at org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper.map(ItemIDIndexMapper.java:31)

at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144)

at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764)

at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370)

at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:214)

六月 08, 2014 10:07:15 上午 org.apache.hadoop.mapred.JobClient monitorAndPrintJob

信息: map 0% reduce 0%

六月 08, 2014 10:07:16 上午 org.apache.hadoop.mapred.JobClient monitorAndPrintJob

信息: Job complete: job_local_0001

六月 08, 2014 10:07:16 上午 org.apache.hadoop.mapred.Counters log

信息: Counters: 0

Exception in thread “main” java.io.FileNotFoundException: File does not exist: /tmp/1402193231582/preparePreferenceMatrix/numUsers.bin

at org.apache.hadoop.hdfs.DFSClient$DFSInputStream.fetchLocatedBlocks(DFSClient.java:1975)

at org.apache.hadoop.hdfs.DFSClient$DFSInputStream.openInfo(DFSClient.java:1944)

at org.apache.hadoop.hdfs.DFSClient$DFSInputStream.(DFSClient.java:1936)

at org.apache.hadoop.hdfs.DFSClient.open(DFSClient.java:731)

at org.apache.hadoop.hdfs.DistributedFileSystem.open(DistributedFileSystem.java:165)

at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:427)

at org.apache.mahout.common.HadoopUtil.readInt(HadoopUtil.java:339)

at org.apache.mahout.cf.taste.hadoop.item.RecommenderJob.run(RecommenderJob.java:167)

at org.conan.mymahout.ItemCFHadoop.main(ItemCFHadoop.java:37)

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hackerwin7

我觉得第二个异常的出现是非常相关于第一个异常的，
第一个异常 数组越界，并且下标为1就越界了，表示数组长度只有1。并且是在job.run方法进去后 触发的。另外我搭建了你博文的用maven搭建mahout项目是运行成功的，那么问题可能出现在hadoop上了？？

0
Reply
Conan Zhang

Hadoop, Mahout, Java的版本，是否与文章中一致？

0
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qinsheng

你好，有没有朋友问你File does not exist: /tmp/1402193231582/preparePreferenceMatrix/numUsers.bin这个问题的，我现在修改之后第一个job成功，执行第二个job的时候报错。

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hadooper

同学，这个问题是那个copyFromLocal函数出了问题，其中local指的是win7系统里面的路径，并非是linux下的文件路径，我的也出现这个问题，改了就好了

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qinsheng

请问你的问题解决了吗？我没有出现数组越界，但是也报File does not exist: /tmp/1402193231582/preparePreferenceMatrix/numUsers.bin，恳请指教。

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tiankong11

你好，请问在程序中如何设置map 和 reduce的个数呢？

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tiankongyy11

conf.setNumMapTasks(10);
conf.setNumReduceTasks(10);

这样设置了貌似没有效果

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Conan Zhang

开发环境不能设置map 和 reduce的个数，打包到部署环境，通过命令行启动时，可以指定map,reduce个数。

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tiankongyy11

再请问下，我将上述程序打成jar包后怎么运行不了
我的命令是： hadoop jar ***.jar

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Conan Zhang

1. 普通java程序，用java -jar xxx.jar
2. hadoop程序，用hadoop jar xx.jar
3. mahout程序，如果封装mahout的启动器，用了mahout xx.jar，如果没封装mahout启动器，用1或2.

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Jonny

你好！我是新手，正在研读学习博主的这篇研究文章，受益匪浅。
有一个疑问能否请教一下博主：
请问“–booleanData true”这一项参数中，这里的booleanData原本是控制数据文件中是否有评分项。请问如果对于没有评分项的数据，例如只有userID，itemID两列数据的文件，这里到底是设置为true还是false呢？自己试下了下，设置为false后，推荐结果里也是有评分，只是全部都是1.0，而设置为true，则推荐结果里也还都有各自的评分（但都不是1.0）。但是比如博主这里的数据设置为false后的结果反而是：
1 [104:3.5838122,106:3.4916115,105:3.473163]
2 [106:2.8146582,105:2.7573717,107:2.0]
3 [106:3.694073,102:3.657834,103:3.5656683]
4 [107:4.716343,105:4.1627345,102:4.0136285]
5 [107:3.7592773]

对于这个参数的设置有些搞不清，不知能否请博主解释一下？万分感谢。

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Conan Zhang

1. 参数解释：–booleanData (boolean): Treat input data as having no pref values (false)，设置true表示有pref，false表无pref。

2. 样本数据是有pref value的，这个参数True/False都会执行，但算法是不一样的，结果是不一样的。

遇到问题，去查查API或源代码，不要只停留在问题表面。

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Jonny

谢谢！

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Rock

lz的一系列文章真的让我节省了很多学习成本。有一个问题想请教：
本文是基于itemCF的分布式开发，我想做基于userCF的hadoop分布式开发，请问mahou中有类似于代码中“RecommenderJob”这样封装好的类可以调用吗？
我查了下api没有找到，感觉基于userCF的开发可能会没这么容易。

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Conan Zhang

Mahout没有提供分布式的userCF，只有单机版本的userCF。
参考这里 http://blog.fens.me/hadoop-mahout-maven-eclipse/

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chen157358254

请问一下这个问题怎么解决

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Jonny

博主你好，后来我回去查了其他一些资料，也做了一些实验，发现原先对这里的booleanData这个参数的理解好像有差异。我认为这里并不是设置true表示有pref，false表无pref。这个booleanData的含义是指输入数据中的评分数据是否是布尔型的，即如果没有评分，应该设置为true，因为若输入数据只有userID、itemID，算法会自动给所有的评分赋值为1。
USER_VECTORS================
{
1={101:1.0,103:1.0,102:1.0},
2={102:1.0,103:1.0,101:1.0,104:1.0},
3={104:1.0,107:1.0,101:1.0,105:1.0},
4={106:1.0,101:1.0,103:1.0,104:1.0},
5={106:1.0,104:1.0,103:1.0,105:1.0,101:1.0,102:1.0}
}

在计算最后推荐项目得分的类AggregateAndRecommendReducer类中有这样一段：
if (booleanData) {
reduceBooleanData(userID, values, context);
} else {
reduceNonBooleanData(userID, values, context);
}
而在 reduceBooleanData方法中，有这样一段注释：
/* having boolean data, each estimated preference can only be 1,
* however we can’t use this to rank the recommended items,
* so we use the sum of similarities for that. */
所以我觉得应该是没有评分设置为true，有评分的设置为false。默认是false。
不知道我这样子理解是否正确。请博主指点。谢谢。

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qinsheng

你好，请教个问题，今天重新搭建你用的版本跑这个例子，但是还是有错。java.lang.ClassNotFoundException: com.google.common.primitives.Longs请问遇见过吗？谢谢

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flycshi

我今天也遇到了这个问题，在win7中用eclipse中可以正常运行，放到hadoop集群下，执行mahout hadoop jar test.jar Test，然后就报这个错误，请问你解决了吗，博主能否也帮忙解答一下，3Q

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Conan Zhang

看起来是少是jar包。

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flycshi

我原先也以为是缺少某个jar包，但后来发现这个类是在mahout的安装目录下是有包包含它的，我在Dataguru上发了一个求助帖，描述的比较详细些，能否前往帮忙看一下，谢谢

【求助】Error: java.lang.ClassNotFoundException: com.google.common.primitives…

http://f.dataguru.cn/forum.php?mod=viewthread&tid=453803&fromuid=231904

(出处: 炼数成金)

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Conan Zhang

好，我找时间看一下

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hduxin

lz你好，请问mahout datamodel支持多个字段输入吗？不仅仅是UserID、ItemId和preference 这3个字段

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Conan Zhang

默认的模型是不支持的，更多的维度，要自己去实现。

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hduxin

谢谢~

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flycshi

博主好，写的很详细，学到很多，有个疑问就是这样在eclipse中运行，虽然可以操作hdfs系统的文件，但貌似不是在hadoop集群里并行的计算的，好像还是在本机的单机运行，请博主帮忙解释一下下，3Q

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Conan Zhang

远程调用是在本机单机计算的，这个方法，只适于用于算法开发，部署需要自己打包放到服务上运行。

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trackback

[…] Mahout分步式程序开发 基于物品的协同过滤ItemCF […]

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[…] 基于Hadoop的分步式算法实现：就是把单机内存算法并行化，把任务分散到多台计算机一起运行。Mahout提供了ItemCF基于Hadoop并行化算法实现。基于Hadoop的分步式算法实现，请参考文章： Mahout分步式程序开发 基于物品的协同过滤ItemCF […]

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[…] 开发环境mahout版本为0.8。 请参考文章：用Maven构建Mahout项目 […]

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