转】Mahout分步式程序开发 基于物品的协同过滤ItemCF

时间:2023-03-08 17:11:45

  原博文出自于:  http://blog.fens.me/hadoop-mahout-mapreduce-itemcf/      感谢!

Posted:

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/

转】Mahout分步式程序开发 基于物品的协同过滤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

转】Mahout分步式程序开发 基于物品的协同过滤ItemCF

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。

转】Mahout分步式程序开发 基于物品的协同过滤ItemCF

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/