hadoop2.6.1源码编译64位

一、问题

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，就会出现问题。

我们在64位服务器执行hadoop命令时，则会报以下错误：

WARNutil.NativeCodeLoader: Unable to load native-hadoop library for yourplatform... using builtin-java classes where applicable

原因是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文件时出错，不影响使用。

为了解决上述问题，我们就需要自己编译一个64位的hadoop版本。

二、编译hadoop2.6.1需要的软件

jdk 1.7
gcc 4.4.5 | gcc-c++
maven 3.3.3
protobuf 2.5.0 （google序列化工具）
cmake 2.8.12.2
make
ant 1.9.6
finbugs(可选择)

注意：
finbugs不是编译所必须的软件，可以不下载。

三、编译软件的准备工作

1.jdk的安装

解压 tar -zxvf jdk-7u79-linux-x64.tar.gz
配置环境变量，编辑/etc/profile文件
export JAVA_HOME=/opt/jdk1.7.0_25
export CLASSPATH=.:$JAVA_HOME/jre/lib/rt.jar:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
export PATH=$PATH:$JAVA_HOME/bin
source /etc/profile
java -version 检查jdk是否安装成功。

2.gcc的安装

一般linux上会自带了gcc的安装，所以在安装以前，先检查一下服务器上是否已经安装了gcc。
输入：gcc -v
如果有以下输出，则这说明已经安装了gcc

yum install gcc

yum install gcc-c++

3.maven的安装

解压tar -zxvf apache-maven-3.3.3-bin.tar.gz
配置环境变量，编辑/etc/profile
export PATH=$PATH:$JAVA_HOME/bin:$MAVEN_HOME/bin
source /etc/profile
mvn -version 检查maven是否安装成功。

4.protobuf的安装

解压tar -zxvf protobuf-2.5.0.tar.gz
进入protobuf的解压目录。如：cd /opt/protobuf-2.5.0/
在安装目录下，执行以下命令：
- ./ configure –prefix=/opt/protobuf
- make
- make check
- make install
编译成功后 export PATH= /opt/protobuf/bin:$PATH
protoc –version 检查protoc是否安装成功。

5.cmake的安装

安装 yum install cmake

安装 yum install openssl-devel

安装 yum install ncurses-devel

或者

tar -zxvf cmake-2.8.12.2.tar.gz
进入cmake的解压目录。如：cd /opt/cmake-2.8.12.2/
在安装目录下，执行以下命令：
- ./ bootstrap
- make
- make install
cmake -version 检查cmake是否安装成功。

6.make的安装

yum install make

验证： make --version

7.ant的安装

解压tar -zxvf apache-ant-1.9.6-bin.tar.gz
编辑环境变量，编辑/etc/profile
export ANT_HOME=/opt/apache-ant-1.9.6
export PATH=$PATH:$JAVA_HOME/bin:$MAVEN_HOME/bin:$ANT_HOME/bin
source /etc/profile 刷新修改的环境变量
ant -version检查ant是否安装成功。

8.安装必要的包

安装 autotool
- 执行命令：yum install autoconf automake libtool

9.hadoop-common-project中的pom.xml添加依赖（hadoop-2.2.0需要修改，hadoop2.6.0版本不需要）

<dependency>

<groupId>org.mortbay.jetty</groupId>

<artifactId>jetty-util</artifactId>

<scope>test</scope>

</dependency>

10.在编译之前防止 java.lang.OutOfMemoryError: Java heap space 堆栈问题

执行系统命令：

export MAVEN_OPTS="-Xms256m -Xmx512m"

四、编译hadoop2.6.1

在Apache官网上，下载hadoop-2.6.1的源码包hadoop-2.6.1-src.tar.gz。
解压源码包tar zxvf hadoop-2.6.1-src.tar.gz
进入hadoop-2.6.1-src解压目录。cd /opt/hadoop-2.6.1-src/
执行命令mvn clean package -Pdist,native -DskipTests -Dtar 进行编译。
编译过程中，需要下载很多包，等待时间比较长。当看到hadoop各个项目都编译成功,即出现一系列的SUCCESS之后，即为编译成功。
编译好的安装包hadoop-2.6.1.tar.gz，可以在文件目录hadoop-2.6.1-src/hadoop-dist/target/下找到。

五、注意事项

编译过程中需要下载安装包，有时候可能由于网络的原因，导致安装包下载不完整，而出现编译错误。

错误1：

Remote host closed connection during handshake: SSL peer shut down incorrectly.......

解决方案:需要重新新多编译几次即可通过。

=====================================================================

编译日志：

[INFO] Reactor Summary: [INFO] [INFO] Apache Hadoop Main ................................. SUCCESS [ 13.582 s]

[INFO] Apache Hadoop Project POM .......................... SUCCESS [ 9.846 s]

[INFO] Apache Hadoop Annotations .......................... SUCCESS [ 24.408 s]

[INFO] Apache Hadoop Assemblies ........................... SUCCESS [ 1.967 s]

[INFO] Apache Hadoop Project Dist POM ..................... SUCCESS [ 6.443 s]

[INFO] Apache Hadoop Maven Plugins ........................ SUCCESS [ 20.692 s]

[INFO] Apache Hadoop MiniKDC .............................. SUCCESS [ 14.250 s]

[INFO] Apache Hadoop Auth ................................. SUCCESS [ 23.716 s]

[INFO] Apache Hadoop Auth Examples ........................ SUCCESS [ 13.714 s]

[INFO] Apache Hadoop Common ............................... SUCCESS [08:46 min]

[INFO] Apache Hadoop NFS .................................. SUCCESS [ 47.127 s]

[INFO] Apache Hadoop KMS .................................. SUCCESS [ 48.790 s]

[INFO] Apache Hadoop Common Project ....................... SUCCESS [ 0.316 s]

[INFO] Apache Hadoop HDFS ................................. SUCCESS [14:58 min]

[INFO] Apache Hadoop HttpFS ............................... SUCCESS [11:10 min]

[INFO] Apache Hadoop HDFS BookKeeper Journal .............. SUCCESS [01:43 min]

[INFO] Apache Hadoop HDFS-NFS ............................. SUCCESS [ 27.438 s]

[INFO] Apache Hadoop HDFS Project ......................... SUCCESS [ 0.146 s]

[INFO] hadoop-yarn ........................................ SUCCESS [ 0.165 s]

[INFO] hadoop-yarn-api .................................... SUCCESS [07:03 min]

[INFO] hadoop-yarn-common ................................. SUCCESS [03:31 min]

[INFO] hadoop-yarn-server ................................. SUCCESS [ 0.827 s]

[INFO] hadoop-yarn-server-common .......................... SUCCESS [01:11 min]

[INFO] hadoop-yarn-server-nodemanager ..................... SUCCESS [02:25 min]

[INFO] hadoop-yarn-server-web-proxy ....................... SUCCESS [ 17.129 s]

[INFO] hadoop-yarn-server-applicationhistoryservice ....... SUCCESS [ 39.350 s]

[INFO] hadoop-yarn-server-resourcemanager ................. SUCCESS [01:44 min]

[INFO] hadoop-yarn-server-tests ........................... SUCCESS [ 32.941 s]

[INFO] hadoop-yarn-client ................................. SUCCESS [ 44.664 s]

[INFO] hadoop-yarn-applications ........................... SUCCESS [ 0.197 s]

[INFO] hadoop-yarn-applications-distributedshell .......... SUCCESS [ 15.165 s]

[INFO] hadoop-yarn-applications-unmanaged-am-launcher ..... SUCCESS [ 9.604 s]

[INFO] hadoop-yarn-site ................................... SUCCESS [ 0.149 s]

[INFO] hadoop-yarn-registry ............................... SUCCESS [ 31.971 s]

[INFO] hadoop-yarn-project ................................ SUCCESS [ 22.195 s]

[INFO] hadoop-mapreduce-client ............................ SUCCESS [ 0.673 s]

[INFO] hadoop-mapreduce-client-core ....................... SUCCESS [02:08 min]

[INFO] hadoop-mapreduce-client-common ..................... SUCCESS [01:38 min]

[INFO] hadoop-mapreduce-client-shuffle .................... SUCCESS [ 24.796 s]

[INFO] hadoop-mapreduce-client-app ........................ SUCCESS [01:02 min]

[INFO] hadoop-mapreduce-client-hs ......................... SUCCESS [ 43.043 s]

[INFO] hadoop-mapreduce-client-jobclient .................. SUCCESS [01:09 min]

[INFO] hadoop-mapreduce-client-hs-plugins ................. SUCCESS [ 9.662 s]

[INFO] Apache Hadoop MapReduce Examples ................... SUCCESS [ 40.439 s]

[INFO] hadoop-mapreduce ................................... SUCCESS [ 13.894 s]

[INFO] Apache Hadoop MapReduce Streaming .................. SUCCESS [ 32.797 s]

[INFO] Apache Hadoop Distributed Copy ..................... SUCCESS [01:00 min]

[INFO] Apache Hadoop Archives ............................. SUCCESS [ 11.333 s]

[INFO] Apache Hadoop Rumen ................................ SUCCESS [ 35.122 s]

[INFO] Apache Hadoop Gridmix .............................. SUCCESS [ 22.939 s]

[INFO] Apache Hadoop Data Join ............................ SUCCESS [ 17.568 s]

[INFO] Apache Hadoop Ant Tasks ............................ SUCCESS [ 12.339 s]

[INFO] Apache Hadoop Extras ............................... SUCCESS [ 18.325 s]

[INFO] Apache Hadoop Pipes ................................ SUCCESS [ 27.889 s]

[INFO] Apache Hadoop OpenStack support .................... SUCCESS [ 30.148 s]

[INFO] Apache Hadoop Amazon Web Services support .......... SUCCESS [01:28 min]

[INFO] Apache Hadoop Client ............................... SUCCESS [ 25.086 s]

[INFO] Apache Hadoop Mini-Cluster ......................... SUCCESS [ 0.657 s]

[INFO] Apache Hadoop Scheduler Load Simulator ............. SUCCESS [ 25.302 s]

[INFO] Apache Hadoop Tools Dist ........................... SUCCESS [ 23.268 s]

[INFO] Apache Hadoop Tools ................................ SUCCESS [ 0.156 s]

[INFO] Apache Hadoop Distribution ......................... SUCCESS [01:06 min]

[INFO] ------------------------------------------------------------------------

[INFO] BUILD SUCCESS [INFO] ------------------------------------------------------------------------

[INFO] Total time: 01:17 h [INFO] Finished at: 2014-12-29T20:45:54-08:00

[INFO] Final Memory: 94M/193M [INFO] ------------------------------------------------------------------------

[root@Master hadoop-2.6.1-src]#

posted @ 2015-10-29 19:47 chgxtony 阅读(312) 评论(0) 编辑收藏举报

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hadoop2.6.1源码编译64位

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