安装RHadoop
祁飞扬
1. R Language Install
安装相关依赖
yum install -y perl* pcre-devel tcl-devel zlib-devel bzip2-devel libX11-devel tk-devel tetex-latex *gfortran* compat-readline5
yum install libRmath-*
rpm -Uvh --force --nodeps R-core-2.10.0-2.el5.x86_64.rpm
rpm -Uvh R-2.10.0-2.el5.x86_64.rpm R-devel-2.10.0-2.el5.x86_64.rpm
编译安装：R-3.0.1
tar -zxvf R-3.0.1
./configure
make
make install #R运行
export HADOOP_CMD=/usr/bin/hadoop
排错
1、错误1
error: --with-readline=yes (default)
安装readline
yum install readline*
2、错误2
error: No F77 compiler found
安装gfortran
3、错误3
error: –with-x=yes (default) and X11 headers/libs are not available
安装
yum install libXt*
4、错误4
error: C++ preprocessor "/lib/cpp" fails sanity check
安装g++或build-essential（redhat6.2安装gcc-c++和glibc-headers）
验证是否安装成功
[root@node1 bin]# R
R version 3.0.1 (2013-05-16) -- "Good Sport"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-unknown-linux-gnu (64-bit)
R是自由软件，不带任何担保。
在某些条件下你可以将其自由散布。
用'license()'或'licence()'来看散布的详细条件。
R是个合作计划，有许多人为之做出了贡献.
用'contributors()'来看合作者的详细情况
用'citation()'会告诉你如何在出版物中正确地引用R或R程序包。
用'demo()'来看一些示范程序，用'help()'来阅读在线帮助文件，或
用'help.start()'通过HTML浏览器来看帮助文件。
用'q()'退出R.
2. 安装Rhadoop
安装rhdfs，rmr2
cd Rhadoop/
R CMD javareconf
R CMD INSTALL 'plyr_1.8.tar.gz'
R CMD INSTALL 'stringr_0.6.2.tar.gz'
R CMD INSTALL 'reshape2_1.2.2.tar.gz'
R CMD INSTALL 'digest_0.6.3.tar.gz'
R CMD INSTALL 'functional_0.4.tar.gz'
R CMD INSTALL 'iterators_1.0.6.tar.gz'
R CMD INSTALL 'itertools_0.1-1.tar.gz'
R CMD INSTALL 'Rcpp_0.10.3.tar.gz'
R CMD INSTALL 'rJava_0.9-4.tar.gz'
R CMD INSTALL 'RJSONIO_1.0-3.tar.gz'
R CMD INSTALL 'reshape2_1.2.2.tar.gz'
R CMD INSTALL 'rhdfs_1.0.5.tar.gz'
R CMD INSTALL 'rmr2_2.2.0.tar.gz'
R library(rhdfs)检查是否能正常工作
验证测试
Rmr测试命令：
> train.mr<-mapreduce( + train.hdfs, + map = function(k, v) { + keyval(k,v$item) + } + ,reduce=function(k,v){ + m<-merge(v,v) + keyval(m$x,m$y) + } + )
出现如下错误：
packageJobJar: [/tmp/RtmpCuhs7d/rmr-local-env18916b6f86b3, /tmp/RtmpCuhs7d/rmr-global-env18913824c681, /tmp/RtmpCuhs7d/rmr-streaming-map18912d6c2b1c, /tmp/RtmpCuhs7d/rmr-streaming-reduce1891179bb645, /tmp/hadoop-root/hadoop-unjar4575094085541826184/] [] /tmp/streamjob2910108622786868147.jar tmpDir=null 13/06/05 18:22:28
WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same. 13/06/05 18:22:28 INFO mapred.FileInputFormat: Total input paths to process : 1 13/06/05 18:22:29
INFO streaming.StreamJob: getLocalDirs(): [/tmp/hadoop-root/mapred/local] 13/06/05 18:22:29 INFO streaming.StreamJob: Running job: job_201306050931_0004 13/06/05 18:22:29
INFO streaming.StreamJob: To kill this job, run: 13/06/05 18:22:29
INFO streaming.StreamJob: /usr/lib/hadoop/bin/hadoop job -Dmapred.job.tracker=cdh1:8021 -kill job_201306050931_0004 13/06/05 18:22:29 INFO streaming.StreamJob: Tracking URL: http://cdh1:50030/jobdetails.jsp?jobid=job_201306050931_0004 13/06/05 18:22:30
INFO streaming.StreamJob: map 0% reduce 0% 13/06/05 18:22:56
INFO streaming.StreamJob: map 100% reduce 100% 13/06/05 18:22:56
INFO streaming.StreamJob: To kill this job, run: 13/06/05 18:22:56
INFO streaming.StreamJob: /usr/lib/hadoop/bin/hadoop job -Dmapred.job.tracker=cdh1:8021 -kill job_201306050931_0004 13/06/05 18:22:56
INFO streaming.StreamJob: Tracking URL: http://cdh1:50030/jobdetails.jsp?jobid=job_201306050931_0004 13/06/05 18:22:56
ERROR streaming.StreamJob: Job not successful. Error: NA 13/06/05 18:22:56
INFO streaming.StreamJob: killJob... Streaming Command Failed! Error in mr(map = map, reduce = reduce, combine = combine, vectorized.reduce, : hadoop streaming failed with error code 1
错误解决方法： 通过查看日志，hadoop没有在/usr/bin下找到Rscript,于是从R的安装目录/usr/local/bin下做R和Rscript的符号链接到/usr/bin下，再次执行即可解决次错。
#ln -s /usr/loca/bin/R /usr/bin
#ln -s /usr/local/bin/Rscript /usr/bin
3. 安装rhbase
## 安装依赖
#yum install boost*
#yum install openssl*
安装thrift
#tar -zxvf thrift-0.9.0.tar.gz
#mv thrift-0.9.0/lib/cpp/src/thrift/qt/moc_TQTcpServer.cpp thrift-0.9.0/lib/cpp/src/thrift/qt/moc_TQTcpServer.cpp.bak
#cd thrift-0.9.0
#./configure --with-boost=/usr/include/boost JAVAC=/usr/java/jdk1.6.0_31/bin/javac
#make
#make install
如果报错：error: “Error: libcrypto required.”
#yum install openssl*
如果报错：
src/thrift/qt/moc_TQTcpServer.cpp:14:2: error: #error "This file was generated using the moc from 4.8.1. It"
src/thrift/qt/moc_TQTcpServer.cpp:15:2: error: #error "cannot be used with the include files from this version of Qt."
src/thrift/qt/moc_TQTcpServer.cpp:16:2: error: #error "(The moc has changed too much.)"
则运行下面命令：
#mv thrift-0.9.0/lib/cpp/src/thrift/qt/moc_TQTcpServer.cpp thrift-0.9.0/lib/cpp/src/thrift/qt/moc_TQTcpServer.cpp.bak
配置PKG_CONFIG_PATH
export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig/
pkg-config --cflags thrift #返回：-I/usr/local/include/thrift为正确
cp /usr/local/lib/libthrift-0.9.0.so /usr/lib/
cp /usr/local/lib/libthrift-0.9.0.so /usr/lib64/
启动hbase：
/usr/lib/hbase/bin/hbase-daemon.sh start thrift
使用jps查看thrift进程
安装rhbase
R CMD INSTALL 'rhbase_1.1.1.tar.gz'
验证并测试
在R命令行中输入library(rmr2)、library(rhdfs)、library(rhbase)，载入成功即表示安装成功
[root@desktop27 hadoop]# R
R version 3.0.1 (2013-05-16) -- "Good Sport"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-unknown-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.
> library(rhdfs)
Loading required package: rJava
HADOOP_CMD=/usr/bin/hadoop
Be sure to run hdfs.init()
> library(rmr2)
Loading required package: Rcpp
Loading required package: RJSONIO
Loading required package: digest
Loading required package: functional
Loading required package: stringr
Loading required package: plyr
Loading required package: reshape2
> library(rhbase)
>
4. 装RHive
环境变量
设置环境变量 vim /etc/profile,末行添加如下：
export HADOOP_CMD=/usr/bin/hadoop
export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig/
export HADOOP_STREAMING=/usr/lib/hadoop-0.20-mapreduce/contrib/streaming/hadoop-streaming-2.0.0-mr1-cdh4.2.1.jar
export HADOOP_HOME=/usr/lib/hadoop
export RHIVE_DATA=/hadoop/dfs/rhive/data
export HIVE_HOME=/usr/lib/hive
安装Rserve：
#R CMD INSTALL 'Rserve_1.7-1.tar.gz'
在安装Rsever用户下，创建一目录，并创建Rserv.conf文件，写入``remote enable’‘保存并退出。
#cd /usr/local/lib64/R/
#echo remote enable > Rserv.conf
启动Rserve：
#R CMD Rserve --RS-conf /usr/local/lib64/R/Rserv.conf
检查Rserve启动是否正常：
#telnet localhost 6311
显示 Rsrv0103QAP1 则表示连接成功
安装RHive
创建数据目录：
#R CMD INSTALL RHive_0.0-7.tar.gz
#cd /usr/local/lib64/R/
mkdir -p rhive/data
在上传rhive_udf.jar到hdfs上：
hadoop fs -mkdir /rhive/lib
cd /usr/local/lib64/R/library/RHive/java
hadoop fs -put rhive_udf.jar /rhive/lib
hadoop fs -chmod a+rw /rhive/lib/rhive_udf.jar
cd /usr/lib/hadoop
ln -s /etc/hadoop/conf conf
测试RHive安装是否成功：
R
library（RHive）
rhive.connect('192.168.0.27')【hive的地址】
rhive.env()
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