CentOS 64位上编译 Hadoop 2.6.0
Hadoop不提供64位编译好的版本号,仅仅能用源代码自行编译64位版本号。
学习一项技术从安装開始。学习hadoop要从编译開始。
1.操作系统编译环境
yum install cmake lzo-devel zlib-devel gcc gcc-c++ autoconf automake libtool ncurses-devel openssl-devel libXtst
2.安装JDK
下载JDK1.7。注意仅仅能用1.7,否则编译会出错
http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html
tar zxvf jdk-7u75-linux-x64.tar.gz -C /app
export JAVA_HOME=/app/jdk1.7.0_75
export JRE_HOME=$JAVA_HOME/jre
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
PATH=$PATH:$JAVA_HOME/bin
3.安装protobuf
下载protobuf-2.5.0,不能用高版本号,否则Hadoop编译不能通过
wget https://protobuf.googlecode.com/files/protobuf-2.5.0.tar.gz
tar xvf protobuf-2.5.0.tar.gz
cd protobuf-2.5.0
./configure
make
make install
ldconfig
protoc --version
4.安装ANT
wget http://mirror.bit.edu.cn/apache/ant/binaries/apache-ant-1.9.4-bin.tar.gz
tar zxvf apache-ant-1.9.4-bin.tar.gz -C /app
vi /etc/profile
export ANT_HOME=/app/apache-ant-1.9.4
PATH=$PATH:$ANT_HOME/bin
5.安装maven
wget http://mirror.bit.edu.cn/apache/maven/maven-3/3.3.1/binaries/apache-maven-3.3.1-bin.tar.gz
tar zxvf apache-maven-3.3.1-bin.tar.gz -C /app
vi /etc/profile
export MAVEN_HOME=/app/apache-maven-3.3.1
export PATH=$PATH:$MAVEN_HOME/bin
改动配置文件
vi /app/apache-maven-3.3.1/conf/settings.xml
更改maven资料库。在<mirrors></mirros>里加入例如以下内容:
<mirror>
<id>nexus-osc</id>
<mirrorOf>*</mirrorOf>
<name>Nexusosc</name>
<url>http://maven.oschina.net/content/groups/public/</url>
</mirror>
在<profiles></profiles>内新加入
<profile>
<id>jdk-1.7</id>
<activation>
<jdk>1.7</jdk>
</activation>
<repositories>
<repository>
<id>nexus</id>
<name>local private nexus</name>
<url>http://maven.oschina.net/content/groups/public/</url>
<releases>
<enabled>true</enabled>
</releases>
<snapshots>
<enabled>false</enabled>
</snapshots>
</repository>
</repositories>
<pluginRepositories>
<pluginRepository>
<id>nexus</id>
<name>local private nexus</name>
<url>http://maven.oschina.net/content/groups/public/</url>
<releases>
<enabled>true</enabled>
</releases>
<snapshots>
<enabled>false</enabled>
</snapshots>
</pluginRepository>
</pluginRepositories>
</profile>
6.安装findbugs(非必须)
wget http://prdownloads.sourceforge.net/findbugs/findbugs-3.0.1.tar.gz?download
tar zxvf findbugs-3.0.1.tar.gz -C /app
vi /etc/profile
export FINDBUGS_HOME=/app/findbugs-3.0.1
PATH=$PATH:$FINDBUGS_HOME/bin
export PATH
注意:
终于,在/etc/profile中环境变量PATH的设置例如以下:
PATH=$PATH:$JAVA_HOME/bin:$ANT_HOME/bin:$MAVEN_HOME/bin:$FINDBUGS_HOME/bin
export PATH
在shell下运行,使环境变量生效
. /etc/profile
7.编译 Hadoop2.6.0
wget http://mirror.bit.edu.cn/apache/hadoop/core/hadoop-2.6.0/hadoop-2.6.0-src.tar.gz
cd hadoop-2.6.0-src
mvn package -DskipTests -Pdist,native -Dtar
[INFO] Reactor Summary:
[INFO]
[INFO] Apache Hadoop Main ................................. SUCCESS [ 4.401 s]
[INFO] Apache Hadoop Project POM .......................... SUCCESS [ 3.864 s]
[INFO] Apache Hadoop Annotations .......................... SUCCESS [ 7.591 s]
[INFO] Apache Hadoop Assemblies ........................... SUCCESS [ 0.535 s]
[INFO] Apache Hadoop Project Dist POM ..................... SUCCESS [ 3.585 s]
[INFO] Apache Hadoop Maven Plugins ........................ SUCCESS [ 6.623 s]
[INFO] Apache Hadoop MiniKDC .............................. SUCCESS [ 4.722 s]
[INFO] Apache Hadoop Auth ................................. SUCCESS [ 7.787 s]
[INFO] Apache Hadoop Auth Examples ........................ SUCCESS [ 5.500 s]
[INFO] Apache Hadoop Common ............................... SUCCESS [02:47 min]
[INFO] Apache Hadoop NFS .................................. SUCCESS [ 12.793 s]
[INFO] Apache Hadoop KMS .................................. SUCCESS [ 20.443 s]
[INFO] Apache Hadoop Common Project ....................... SUCCESS [ 0.111 s]
[INFO] Apache Hadoop HDFS ................................. SUCCESS [04:35 min]
[INFO] Apache Hadoop HttpFS ............................... SUCCESS [ 29.896 s]
[INFO] Apache Hadoop HDFS BookKeeper Journal .............. SUCCESS [ 11.100 s]
[INFO] Apache Hadoop HDFS-NFS ............................. SUCCESS [ 8.262 s]
[INFO] Apache Hadoop HDFS Project ......................... SUCCESS [ 0.069 s]
[INFO] hadoop-yarn ........................................ SUCCESS [ 0.066 s]
[INFO] hadoop-yarn-api .................................... SUCCESS [02:05 min]
[INFO] hadoop-yarn-common ................................. SUCCESS [ 46.132 s]
[INFO] hadoop-yarn-server ................................. SUCCESS [ 0.123 s]
[INFO] hadoop-yarn-server-common .......................... SUCCESS [ 19.166 s]
[INFO] hadoop-yarn-server-nodemanager ..................... SUCCESS [ 25.552 s]
[INFO] hadoop-yarn-server-web-proxy ....................... SUCCESS [ 5.456 s]
[INFO] hadoop-yarn-server-applicationhistoryservice ....... SUCCESS [ 11.781 s]
[INFO] hadoop-yarn-server-resourcemanager ................. SUCCESS [ 30.557 s]
[INFO] hadoop-yarn-server-tests ........................... SUCCESS [ 9.765 s]
[INFO] hadoop-yarn-client ................................. SUCCESS [ 14.016 s]
[INFO] hadoop-yarn-applications ........................... SUCCESS [ 0.101 s]
[INFO] hadoop-yarn-applications-distributedshell .......... SUCCESS [ 4.116 s]
[INFO] hadoop-yarn-applications-unmanaged-am-launcher ..... SUCCESS [ 2.993 s]
[INFO] hadoop-yarn-site ................................... SUCCESS [ 0.093 s]
[INFO] hadoop-yarn-registry ............................... SUCCESS [ 9.036 s]
[INFO] hadoop-yarn-project ................................ SUCCESS [ 6.557 s]
[INFO] hadoop-mapreduce-client ............................ SUCCESS [ 0.267 s]
[INFO] hadoop-mapreduce-client-core ....................... SUCCESS [ 36.775 s]
[INFO] hadoop-mapreduce-client-common ..................... SUCCESS [ 28.049 s]
[INFO] hadoop-mapreduce-client-shuffle .................... SUCCESS [ 7.285 s]
[INFO] hadoop-mapreduce-client-app ........................ SUCCESS [ 17.333 s]
[INFO] hadoop-mapreduce-client-hs ......................... SUCCESS [ 15.283 s]
[INFO] hadoop-mapreduce-client-jobclient .................. SUCCESS [ 7.110 s]
[INFO] hadoop-mapreduce-client-hs-plugins ................. SUCCESS [ 3.843 s]
[INFO] Apache Hadoop MapReduce Examples ................... SUCCESS [ 12.559 s]
[INFO] hadoop-mapreduce ................................... SUCCESS [ 6.331 s]
[INFO] Apache Hadoop MapReduce Streaming .................. SUCCESS [ 45.863 s]
[INFO] Apache Hadoop Distributed Copy ..................... SUCCESS [ 46.304 s]
[INFO] Apache Hadoop Archives ............................. SUCCESS [ 3.575 s]
[INFO] Apache Hadoop Rumen ................................ SUCCESS [ 12.991 s]
[INFO] Apache Hadoop Gridmix .............................. SUCCESS [ 10.105 s]
[INFO] Apache Hadoop Data Join ............................ SUCCESS [ 5.021 s]
[INFO] Apache Hadoop Ant Tasks ............................ SUCCESS [ 3.804 s]
[INFO] Apache Hadoop Extras ............................... SUCCESS [ 5.298 s]
[INFO] Apache Hadoop Pipes ................................ SUCCESS [ 10.290 s]
[INFO] Apache Hadoop OpenStack support .................... SUCCESS [ 9.220 s]
[INFO] Apache Hadoop Amazon Web Services support .......... SUCCESS [11:12 min]
[INFO] Apache Hadoop Client ............................... SUCCESS [ 10.714 s]
[INFO] Apache Hadoop Mini-Cluster ......................... SUCCESS [ 0.143 s]
[INFO] Apache Hadoop Scheduler Load Simulator ............. SUCCESS [ 7.664 s]
[INFO] Apache Hadoop Tools Dist ........................... SUCCESS [ 29.970 s]
[INFO] Apache Hadoop Tools ................................ SUCCESS [ 0.057 s]
[INFO] Apache Hadoop Distribution ......................... SUCCESS [ 49.425 s]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 32:26 min
[INFO] Finished at: 2015-03-19T19:56:40+08:00
[INFO] Final Memory: 99M/298M
[INFO] ------------------------------------------------------------------------
编译成功后会打包。放在hadoop-dist/target
# ls
antrun dist-tar-stitching.sh hadoop-2.6.0.tar.gz hadoop-dist-2.6.0-javadoc.jar maven-archiver
dist-layout-stitching.sh hadoop-2.6.0 hadoop-dist-2.6.0.jar javadoc-bundle-options test-dir
CentOS 64位上编译 Hadoop 2.6.0的更多相关文章
- CentOS 64位上编译 Hadoop2.6.0
由于hadoop-2.6.0.tar.gz安装包是在32位机器上编译的,64位的机器加载本地库.so文件时会出错,比如: java.lang.UnsatisfiedLinkError: org.apa ...
- 64位CentOS上编译 Hadoop 2.2.0
下载了Hadoop预编译好的二进制包,hadoop-2.2.0.tar.gz,启动起来后.总是出现这样的警告: WARN util.NativeCodeLoader: Unable to load n ...
- mac OS X Yosemite 上编译hadoop 2.6.0/2.7.0及TEZ 0.5.2/0.7.0 注意事项
1.jdk 1.7问题 hadoop 2.7.0必须要求jdk 1.7.0,而oracle官网已经声明,jdk 1.7 以后不准备再提供更新了,所以趁现在还能下载,赶紧去down一个mac版吧 htt ...
- centos 64位 下hadoop-2.7.2 下编译
centos 64位 下hadoop-2.7.2 下编译 由于机器安装的是centos 6.7 64位 系统 从hadoop中下载是32位 hadoop 依赖的的库是libhadoop.so 是3 ...
- 在 CentOS 7.5 64位上使用 yum 安装 MySQL 8.0
前段时间在 CentOS 7.5 64位上安装 MySQL 8.0.查了些资料,在这里记录一下详细的安装和设置步骤. 一.安装 使用yum安装MySQL之前需要先下载对应的.rpm文件,下载方法: 去 ...
- Ubuntu 14.04 (32位)上搭建Hadoop 2.5.1单机和伪分布式环境
引言 一直用的Ubuntu 32位系统(准备下次用Fedora,Ubuntu越来越不适合学习了),今天准备学习一下Hadoop,结果下载Apache官网上发布的最新的封装好的2.5.1版,配置完了根本 ...
- Centos(64位)安装Hbase详细步骤
HBase是一个分布式的.面向列的开源数据库,该技术来源于 Fay Chang 所撰写的Google论文“Bigtable:一个结构化数据的分布式存储系统”.就像Bigtable利用了Google文件 ...
- linux下hadoop2.6.1源码64位的编译
linux下hadoop2.6.1源码64位的编译 一. 前言 Apache官网上提供的hadoop本地库是32位的,如果我们的Linux服务器是64位的话,就会现问题.我们在64位服务器执行Hado ...
- Centos 64位 Install certificate on apache 即走https协议
Centos 64位 Install certificate on apache 即走https协议 一: 先要apache 请求ssl证书的csr 一下是步骤: 重要注意事项 An Importan ...
随机推荐
- Android数据的四种存储方式SharedPreferences、SQLite、Content Provider和File (二) —— SQLite
SQLite是一种转为嵌入式设备设计的轻型数据库,其只有五种数据类型,分别是: NULL: 空值 INTEGER: 整数 REAL: 浮点数 TEXT: 字符串 BLOB: 大数据 在SQLite中, ...
- ExtJs004define定义类
Ext.onReady(function () { //在Ext中如何去定义一个类: Ext.define(className , properties , callback) Ext.define( ...
- POJ2823 Sliding Window(单调队列)
单调队列,我用deque维护.这道题不难写,我第二次写单调队列,1次AC. -------------------------------------------------------------- ...
- 大概看了一天python request源码。写下python requests库发送 get,post请求大概过程。
python requests库发送请求时,比如get请求,大概过程. 一.发起get请求过程:调用requests.get(url,**kwargs)-->request('get', url ...
- 帝国cms数据表详细说明
表 名 解释 phome_ecms_infoclass_news 新闻采集规则记录表 phome_ecms_infotmp_news 采集临时表 phome_ecms_news 新闻主数据记录表 ph ...
- document.compatMode简介
对于document.compatMode,很多朋友可能很少接触,知道他的存在却不清楚他的用途.今天在ext中看到 document.compatMode的使用,感觉这个对于我们开发兼容性的web页面 ...
- protel99se中做拼板图解
很多时候我们要在protel99se中做拼板, 但是通常在复制进行拼版的时候会出现如下的效果,元件被重新命名了. 而无法达到我们需要的像下图的效果 那我们怎么办,才能达到上图的效果呢?其实操作很简单. ...
- hdu 1085 Holding Bin-Laden Captive! (母函数)
//给你面值为1,2,5的三种硬币固定的数目,求不能凑出的最小钱数 //G(x)=(1+x+...+x^num1)(1+x^2+...+x^2num2)(1+x^5+,,,+x^5num3), //展 ...
- YUV / RGB 格式及快速转换算法
1 前言 自然界的颜色千变万化,为了给颜色一个量化的衡量标准,就需要建立色彩空间模型来描述各种各样的颜色,由于人对色彩的感知是一个复杂的生理和心理联合作用 的过程,所以在不同的应用领域中为了更好更准确 ...
- POJ Secret Milking Machine 【网络流+二分】
题意:各一个地图,两点之间有若干条路,要在节点1和节点n之间行走t次(就是问1到n的路径数至少为t,每一条路径不能有重复),问所有路径里面最长的部分(这个题目特别强调,不是路径长度和,是路径中相邻两点 ...