标签：style blog class code c java
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,布布扣,bubuko.com
Install RHadoop with Hadoop 2.2 – Red Hat Linux
标签：style blog class code c java
原文地址：http://www.cnblogs.com/honglvlan/p/3732769.html
