Prerequisite

Hadoop 2.2 has been installed (and the below installation steps should be applied on each of Hadoop node)

 

Step 1. Install R (by yum)

[hadoop@c0046220 yum.repos.d]$ sudo yum update

 

[hadoop@c0046220 yum.repos.d]$ yum search r-project

 

[hadoop@c0046220 yum.repos.d]$ sudo yum install R

...

Installed:

R.x86_64 0:3.0.2-1.el6

 

Dependency Installed:

R-core.x86_64 0:3.0.2-1.el6 R-core-devel.x86_64 0:3.0.2-1.el6 R-devel.x86_64 0:3.0.2-1.el6 R-java.x86_64 0:3.0.2-1.el6

R-java-devel.x86_64 0:3.0.2-1.el6 bzip2-devel.x86_64 0:1.0.5-7.el6_0 fontconfig-devel.x86_64 0:2.8.0-3.el6 freetype-devel.x86_64 0:2.3.11-14.el6_3.1

java-1.6.0-openjdk-devel.x86_64 1:1.6.0.0-1.62.1.11.11.90.el6_4 kpathsea.x86_64 0:2007-57.el6_2 libRmath.x86_64 0:3.0.2-1.el6 libRmath-devel.x86_64 0:3.0.2-1.el6

libXft-devel.x86_64 0:2.3.1-2.el6 libXmu.x86_64 0:1.1.1-2.el6 libXrender-devel.x86_64 0:0.9.7-2.el6 libicu.x86_64 0:4.2.1-9.1.el6_2

netpbm.x86_64 0:10.47.05-11.el6 netpbm-progs.x86_64 0:10.47.05-11.el6 pcre-devel.x86_64 0:7.8-6.el6 psutils.x86_64 0:1.17-34.el6

tcl.x86_64 1:8.5.7-6.el6 tcl-devel.x86_64 1:8.5.7-6.el6 tex-preview.noarch 0:11.85-10.el6 texinfo.x86_64 0:4.13a-8.el6

texinfo-tex.x86_64 0:4.13a-8.el6 texlive.x86_64 0:2007-57.el6_2 texlive-dvips.x86_64 0:2007-57.el6_2 texlive-latex.x86_64 0:2007-57.el6_2

texlive-texmf.noarch 0:2007-38.el6 texlive-texmf-dvips.noarch 0:2007-38.el6 texlive-texmf-errata.noarch 0:2007-7.1.el6 texlive-texmf-errata-dvips.noarch 0:2007-7.1.el6

texlive-texmf-errata-fonts.noarch 0:2007-7.1.el6 texlive-texmf-errata-latex.noarch 0:2007-7.1.el6 texlive-texmf-fonts.noarch 0:2007-38.el6 texlive-texmf-latex.noarch 0:2007-38.el6

texlive-utils.x86_64 0:2007-57.el6_2 tk.x86_64 1:8.5.7-5.el6 tk-devel.x86_64 1:8.5.7-5.el6 zlib-devel.x86_64 0:1.2.3-29.el6

 

Complete!

 

Validation:

[hadoop@c0046220 yum.repos.d]$ R

 

R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"

Copyright (C) 2013 The R Foundation for Statistical Computing

Platform: x86_64-redhat-linux-gnu (64-bit)

 

R is free software and comes with ABSOLUTELY NO WARRANTY.

You are welcome to redistribute it under certain conditions.

Type 'license()' or 'licence()' for distribution details.

 

Natural language support but running in an English locale

 

R is a collaborative project with many contributors.

Type 'contributors()' for more information and

'citation()' on how to cite R or R packages in publications.

 

Type 'demo()' for some demos, 'help()' for on-line help, or

'help.start()' for an HTML browser interface to help.

Type 'q()' to quit R.

 

>

 

 

Step 2. Install RHadoop

2.1 Getting RHadoop Packages

Download packages rhdfs, rhbase and rmr2 from https://github.com/RevolutionAnalytics/RHadoop/wiki/Downloads and then run the R code below.

[hadoop@c0046220 RHadoop]$ cd /tmp

[hadoop@c0046220 tmp]$ mkdir RHadoop

[hadoop@c0046220 tmp]$ cd RHadoop

[hadoop@c0046220 RHadoop]$ wget https://raw.githubusercontent.com/RevolutionAnalytics/rhdfs/master/build/rhdfs_1.0.8.tar.gz

[hadoop@c0046220 RHadoop]$ wget https://raw.githubusercontent.com/RevolutionAnalytics/rmr2/3.1.0/build/rmr2_3.1.0.tar.gz

 

[hadoop@c0046220 RHadoop]$ wget https://raw.githubusercontent.com/RevolutionAnalytics/rhbase/master/build/rhbase_1.2.0.tar.gz

 

2.2 Install R packages that RHadoop depends on.

[hadoop@c0046220 java]$ echo $JAVA_HOME

/usr/java/jdk1.8.0_05

 

[hadoop@c0046220 java]$ sudo -i

[root@c0046220 ~]# export JAVA_HOME=/usr/java/jdk1.8.0_05

[root@c0046220 ~]# R CMD javareconf

[root@c0046220 ~]# R

...

> .libPaths();

[1] "/usr/lib64/R/library" "/usr/share/R/library"

 

> install.packages(c("rJava", "Rcpp", "RJSONIO", "bitops", "digest", "functional", "stringr", "plyr", "reshape2", "caTools"))

> #install.packages("caTools") #needed for rmr2

 

2.3 Install RHadoop

Set environment variables

[hadoop@c0046220 ~]$ vi ~/.bashrc

# set HADOOP locations for RHADOOP

export HADOOP_CMD=$HADOOP_HOME/bin/hadoop

export HADOOP_STREAMING=/opt/hadoop/hadoop-2.2.0/share/hadoop/tools/lib/hadoop-streaming-2.2.0.jar

[hadoop@c0046220 ~]$ source .bashrc

 

[hadoop@c0040084 R]$ sudo -i

[root@c0040084 ~]# R

...

> Sys.setenv(HADOOP_HOME="/opt/hadoop/hadoop-2.2.0");

> Sys.setenv(HADOOP_CMD="/opt/hadoop/hadoop-2.2.0/bin/hadoop");

> Sys.setenv(HADOOP_STREAMING="/opt/hadoop/hadoop-2.2.0/share/hadoop/tools/lib/hadoop-streaming-2.2.0.jar");

> install.packages(pkgs="/tmp/RHadoop/rhdfs_1.0.8.tar.gz",repos=NULL);

> install.packages(pkgs="/tmp/RHadoop/rmr2_3.1.0.tar.gz",repos=NULL);

 

Step 3. Validation

Load and initialize the rhdfs package, and execute some simple commands as below:

library(rhdfs)

hdfs.init()

hdfs.ls("/")

[hadoop@c0046220 ~]$ R

...

> library(rhdfs)

Loading required package: rJava

...

Be sure to run hdfs.init()

> hdfs.init()

14/05/15 10:02:23 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

> hdfs.ls("/")

permission owner group size modtime file

1 drwxr-xr-x hadoop supergroup 0 2014-05-14 03:05 /apps

2 drwxr-xr-x hadoop supergroup 0 2014-05-12 09:40 /data

3 drwxr-xr-x hadoop supergroup 0 2014-05-12 09:45 /output

4 drwxrwx--- hadoop supergroup 0 2014-05-15 10:02 /tmp

5 drwxr-xr-x hadoop supergroup 0 2014-05-14 05:48 /user

6 drwxr-xr-x hadoop supergroup 0 2014-05-13 06:43 /usr

 

Load and initialize the rmr2 package, and execute some simple commands as below:

library(rmr2)

from.dfs(to.dfs(1:100))

from.dfs(mapreduce(to.dfs(1:100)))

[hadoop@c0046220 ~]$ R

...

> library(rmr2)

Loading required package: Rcpp

Loading required package: RJSONIO

Loading required package: bitops

Loading required package: digest

Loading required package: functional

Loading required package: reshape2

Loading required package: stringr

Loading required package: plyr

Loading required package: caTools

 

> from.dfs(to.dfs(1:100))

...

$key

NULL

 

$val

[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

[19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

[37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54

[55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72

[73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90

[91] 91 92 93 94 95 96 97 98 99 100

 

> from.dfs(mapreduce(to.dfs(1:100)))

...

$key

NULL

 

$val

[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

[19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

[37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54

[55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72

[73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90

[91] 91 92 93 94 95 96 97 98 99 100

 

 

library(rmr2)

input<- '/user/hadoop/tmp.txt'

wordcount = function(input, output = NULL, pattern = " "){

wc.map = function(., lines) {

keyval(unlist( strsplit( x = lines,split = pattern)),1)

}

 

wc.reduce =function(word, counts ) {

keyval(word, sum(counts))

}

 

mapreduce(input = input ,output = output, input.format = "text",

map = wc.map, reduce = wc.reduce,combine = T)

}

 

wordcount(input)

 

> library(rmr2)

> input<- '/user/hadoop/tmp.txt'

> wordcount = function(input, output = NULL, pattern = " "){

+ wc.map = function(., lines) {

+ keyval(unlist( strsplit( x = lines,split = pattern)),1)

+ }

+

+ wc.reduce =function(word, counts ) {

+ keyval(word, sum(counts))

+ }

+

+ mapreduce(input = input ,output = output, input.format = "text",

+ map = wc.map, reduce = wc.reduce,combine = T)

+ }

>

> wordcount(input)

...

14/05/15 10:18:40 INFO mapreduce.Job: Job job_1399887026053_0013 completed successfully

14/05/15 10:18:40 INFO mapreduce.Job: Counters: 45

File System Counters

FILE: Number of bytes read=11018

FILE: Number of bytes written=278566

FILE: Number of read operations=0

FILE: Number of large read operations=0

FILE: Number of write operations=0

HDFS: Number of bytes read=2004

HDFS: Number of bytes written=11583

HDFS: Number of read operations=9

HDFS: Number of large read operations=0

HDFS: Number of write operations=2

Job Counters

Failed reduce tasks=1

Launched map tasks=2

Launched reduce tasks=2

Data-local map tasks=2

Total time spent by all maps in occupied slots (ms)=23412

Total time spent by all reduces in occupied slots (ms)=13859

Map-Reduce Framework

Map input records=24

Map output records=112

Map output bytes=10522

Map output materialized bytes=11024

Input split bytes=208

Combine input records=112

Combine output records=114

Reduce input groups=105

Reduce shuffle bytes=11024

Reduce input records=114

Reduce output records=112

Spilled Records=228

Shuffled Maps =2

Failed Shuffles=0

Merged Map outputs=2

GC time elapsed (ms)=569

CPU time spent (ms)=3700

Physical memory (bytes) snapshot=574214144

Virtual memory (bytes) snapshot=6258499584

Total committed heap usage (bytes)=365953024

Shuffle Errors

BAD_ID=0

CONNECTION=0

IO_ERROR=0

WRONG_LENGTH=0

WRONG_MAP=0

WRONG_REDUCE=0

File Input Format Counters

Bytes Read=1796

File Output Format Counters

Bytes Written=11583

rmr

reduce calls=110

14/05/15 10:18:40 INFO streaming.StreamJob: Output directory: /tmp/file612355aa2e35

function ()

{

fname

}

<environment: 0x37d70d0>

>

>

> from.dfs("/tmp/file612355aa2e35")

$key

[1] "-"

[2] "of"

[3] "Hong"

[4] "Paul's"

[5] "School"

[6] "College"

[7] "Graduate"

...

References

https://s3.amazonaws.com/RHadoop/RHadoop2.0.2u2_Installation_Configuration_for_RedHat.pdf

http://cran.r-project.org/doc/manuals/r-devel/R-admin.html#Installing-R-under-Unix_002dalikes

 

http://www.rdatamining.com/tutorials/rhadoop

http://blog.fens.me/rhadoop-rhadoop/

http://datamgmt.com/installing-r-and-rstudio-on-redhat-or-centos-linux/

 

https://github.com/RevolutionAnalytics/RHadoop/wiki

https://github.com/RevolutionAnalytics/RHadoop/wiki/Which-Hadoop-for-rmr

Install RHadoop with Hadoop 2.2 – Red Hat Linux的更多相关文章

  1. Red hat Linux(Centos 5/6)安装R语言

    Red hat Linux(Centos 5/6)安装R语言1 wget http://cran.rstudio.com/src/base/R-3/R-3.0.2.tar.gz2 tar xzvf R ...

  2. red hat Linux 使用CentOS yum源更新

    red hat linux是商业版软件,没有经过注册是无法使用红帽 yum源更新软件的,使用CentOS源更新操作如下: 1.删除red hat linux 原有的yum 源 rpm -aq | gr ...

  3. red hat linux之Samba、DHCP、DNS、FTP、Web的安装与配置

    本教程是在red hat linux 6.0环境下简单测试!教程没有图片演示,需要具有一定Linux基础知识,很多地方的配置需要根据自己的情况修改,照打不一定可以配置成功.(其他不足后续修改添加) y ...

  4. Red Hat Linux认证

    想系统的学习一下Linux,了解了一些关于Red Hat Linux认证的信息.整理如下. 当前比较常见的是RHCE认证,即Red Hat Certified Engineer.最高级别的是RHCA ...

  5. Red Hat linux 如何增加swap空间

    按步骤介绍 Red Hat linux 如何增加swap空间 方法/步骤 第一步:确保系统中有足够的空间来用做swap交换空间,我使用的是KVM,准备在一个独立的文件系统中添加一个swap交换文件,在 ...

  6. 分享red hat linux 6上安装oracle11g时遇到的gcc: error trying to exec 'cc1': execvp: No such file or directory的问题处理过程

    安装环境:Red Hat Linux 6.5_x64.oracle11g 64bit 报错详情: 安装到68%时弹窗报错: 调用makefile '/test/app/Administrators/p ...

  7. Red Hat Linux 挂载外部资源

    在我们安装的Red Hat Linux 中.当中一半机器为最主要的server配置,没有桌面环境.在从U盘上复制文件的时候可就犯难了.在网上查了查才知道.要訪问U盘就必须先将它们挂载到Linux系统的 ...

  8. Red Hat Linux 安装 (本地、网络安装)

    Red Hat Linux 安装 (本地.网络安装) 650) this.width=650;" onclick='window.open("http://blog.51cto.c ...

  9. 在Red Hat Linux服务器端假设NSF Server来进行Linux系统安装全过程

            本教程讲述了通过在Red Hat Linux服务器端假设NSF Server来进行Linux系统安装的过程,并详细介绍了如何制作网络启动盘的细节.演示直观,讲解通俗易懂,特别适合初学者 ...

随机推荐

  1. Appium移动自动化测试(一)--安装Appium(转)

    Appium移动自动化测试(一)--安装Appium 2015-05-30 17:48 by 虫师, 70668 阅读, 13 评论, 收藏, 编辑 Appium 自动化测试是很早之前就想学习和研究的 ...

  2. windows form (窗体) 之间传值小结

    windows form (窗体) 之间传值小结   windows form (窗体) 之间传值小结 在windows form之间传值,我总结了有四个方法:全局变量.属性.窗体构造函数和deleg ...

  3. npm常用命令总结

    p.p1 { margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Menlo; color: #000000; background-color: rgba(2 ...

  4. 安卓ListView操作的两种方法

    举例做一个微信的中间部分(好友消息等信息通知) 第一种:BaseAdapter() package com.example.wx; import java.util.ArrayList;import ...

  5. 怎样在loop中处理异常

    怎样在loop中处理异常,而不跳出 出现符号“exception”在需要下下列之一时的解决办法; 如果sql中发生异常,我们可以用 exception       when others then d ...

  6. Linux下生产者与消费者的线程实现

    代码见<现代操作系统> 第3版. 为了显示效果,添加了printf()函数来显示运行效果 #include<stdio.h> #include<pthread.h> ...

  7. MySQL更新时Error Code:1093和Error Code:1175的解决办法

    Error Code: 1093. You can't specify target table 'ws_product' for update in FROM clause 这个是我们在使用upda ...

  8. [Angular 2] Pipe Purity

    Explaining how Pipes only change by default when your Pipe input parameters change and not when your ...

  9. Android Matrix详解

    Matrix的数学原理 平移变换 旋转变换 缩放变换 错切变换 对称变换 代码验证 Matrix的数学原理 在Android中,如果你用Matrix进行过图像处理,那么一定知道Matrix这个类.An ...

  10. 多线程下的NSOperation和NSOperationQueue的使用

    多线程下的NSOperation和NSOperationQueue的使用 NSOperation和NSOperationQueue的介绍: NSOperation是Cocoa中的一个抽象类,用来封装单 ...