如何在CentOS6.5下编译64位的Hadoop2.x
hadoop2.x在apache官网直接下载的并没有64位直接能用的版本，如果我们想在64位系统使用，那么就需要重新编译hadoop，否则直接使用32位的hadoop运行在64位的系统上，将会出现一些库不兼容的异常。如下图所示，最直接的一个异常:
在这之前，散仙先用一个表格来描述下散仙的编译的环境的状况:
下面进入正题，散仙的环境是在centos下，所以大部分安装编译依赖库，都可以很方便的使用yum命令来完成。
1,安装gcc，执行如下的几个yum命令即可
2,安装JDK,并设置环境变量，完成后测试安装成功否
3， 安装Maven，安装完成后测试安装与否
4, 安装Ant， 安装完成后，依旧测试成功与否
5,安装protobuf，安装方式，从官网下载tar.gz的包点击下载，并上传到linux上解压，然后进入根目录下，执行如下的几个命令:
wget https://protobuf.googlecode.com/files/protobuf-2.5.0.tar.bz2
然后，执行如下命令，进行测试安装成功与否
6,从hadoop官网下载hadoop2.2.0的版本的源码的src的包，并查看目录
7，修改/root/hadoop-2.2.0-src/hadoop-common-project/hadoop-auth/pom.xml文件，增加，补丁内容，这部分是hadoop2.2.0的bug，如果是其他的2.x的版本，可以视情况而定，内容如下：
8，修改完毕后，回到hadoop-2.2.0-src的跟目录下执行编译打包命令:
然后等待半个小时左右的编译时间，网速快的话，时间可能会更短，编译完成后，输出的打包信息如下：
编译好的hadoop包，路径在：
编译完成后的本地库，位于如下位置，并查看本地库支持位数：
至此，我们的编译已经，成功完成，然后，我们就可以使用在target目录下，编译生成的hadoop新的tar.gz包，来部署我们的hadoop集群。
在这之前，散仙先用一个表格来描述下散仙的编译的环境的状况:
| 序号 | 描述 | 备注 |
| 1 | centos6.5系统64位 | linux环境 |
| 2 | Apache Ant1.9 | ant编译 |
| 3 | Apache Maven3.2.1 | maven打包部署 |
| 4 | gcc,gcc-c++,make | 依赖库 |
| 5 | protobuf-2.5.0 | 序列化库 |
| 6 | JDK1.7 | JAVA 环境 |
| 7 | Hadoop2.2.0源码包 | 官网下载 |
| 8 | 屌丝工程师一名 | 主角 |
| 9 | hadoop交流群376932160 | 技术交流 |
下面进入正题，散仙的环境是在centos下，所以大部分安装编译依赖库，都可以很方便的使用yum命令来完成。
1,安装gcc，执行如下的几个yum命令即可
yum -y install gcc yum install -y bzip2-devel yum -y install gcc-c++ yum install make yum install autoconf automake libtool cmake ncurses-devel openssl-devel gcc*
2,安装JDK,并设置环境变量，完成后测试安装成功否
[root@ganglia ~]# java -version java version "1.5.0" gij (GNU libgcj) version 4.4.7 20120313 (Red Hat 4.4.7-4) Copyright (C) 2007 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. [root@ganglia ~]#
3， 安装Maven，安装完成后测试安装与否
[root@ganglia ~]# mvn -v Apache Maven 3.2.1 (ea8b2b07643dbb1b84b6d16e1f08391b666bc1e9; 2014-02-15T01:37:52+08:00) Maven home: /usr/local/maven Java version: 1.7.0_25, vendor: Oracle Corporation Java home: /usr/local/jdk1.7.0_25/jre Default locale: zh_CN, platform encoding: UTF-8 OS name: "linux", version: "2.6.32-431.el6.x86_64", arch: "amd64", family: "unix" [root@ganglia ~]#
4, 安装Ant， 安装完成后，依旧测试成功与否
[root@ganglia ~]# ant -version Apache Ant(TM) version 1.9.4 compiled on April 29 2014 [root@ganglia ~]#
5,安装protobuf，安装方式，从官网下载tar.gz的包点击下载，并上传到linux上解压，然后进入根目录下，执行如下的几个命令:
wget https://protobuf.googlecode.com/files/protobuf-2.5.0.tar.bz2
./configure make make check make install
然后，执行如下命令，进行测试安装成功与否
[root@ganglia protobuf-2.5.0]# protoc Missing input file. [root@ganglia protobuf-2.5.0]#
6,从hadoop官网下载hadoop2.2.0的版本的源码的src的包，并查看目录
[root@ganglia ~]# cd hadoop-2.2.0-src [root@ganglia hadoop-2.2.0-src]# ll 总用量 108 -rw-r--r--. 1 67974 users 9968 10月 7 2013 BUILDING.txt drwxr-xr-x. 2 67974 users 4096 10月 7 2013 dev-support drwxr-xr-x. 4 67974 users 4096 6月 9 17:05 hadoop-assemblies drwxr-xr-x. 3 67974 users 4096 6月 9 17:27 hadoop-client drwxr-xr-x. 9 67974 users 4096 6月 9 17:14 hadoop-common-project drwxr-xr-x. 3 67974 users 4096 6月 9 17:26 hadoop-dist drwxr-xr-x. 7 67974 users 4096 6月 9 17:20 hadoop-hdfs-project drwxr-xr-x. 11 67974 users 4096 6月 9 17:25 hadoop-mapreduce-project drwxr-xr-x. 4 67974 users 4096 6月 9 17:06 hadoop-maven-plugins drwxr-xr-x. 3 67974 users 4096 6月 9 17:27 hadoop-minicluster drwxr-xr-x. 4 67974 users 4096 6月 9 17:03 hadoop-project drwxr-xr-x. 3 67974 users 4096 6月 9 17:05 hadoop-project-dist drwxr-xr-x. 12 67974 users 4096 6月 9 17:26 hadoop-tools drwxr-xr-x. 4 67974 users 4096 6月 9 17:24 hadoop-yarn-project -rw-r--r--. 1 67974 users 15164 10月 7 2013 LICENSE.txt -rw-r--r--. 1 67974 users 101 10月 7 2013 NOTICE.txt -rw-r--r--. 1 67974 users 16569 10月 7 2013 pom.xml -rw-r--r--. 1 67974 users 1366 10月 7 2013 README.txt [root@ganglia hadoop-2.2.0-src]#
7，修改/root/hadoop-2.2.0-src/hadoop-common-project/hadoop-auth/pom.xml文件，增加，补丁内容，这部分是hadoop2.2.0的bug，如果是其他的2.x的版本，可以视情况而定，内容如下：
<dependency>
<groupId>org.mockito</groupId>
<artifactId>mockito-all</artifactId>
<scope>test</scope>
</dependency>
<!--新增的内容开始 -->
<dependency>
<groupId>org.mortbay.jetty</groupId>
<artifactId>jetty-util</artifactId>
<scope>test</scope>
</dependency>
<!--新增的内容结束 -->
<dependency>
<groupId>org.mortbay.jetty</groupId>
<artifactId>jetty</artifactId>
<scope>test</scope>
</dependency>
8，修改完毕后，回到hadoop-2.2.0-src的跟目录下执行编译打包命令:
mvn clean mvn package -Pdist,native -DskipTests -Dtar
然后等待半个小时左右的编译时间，网速快的话，时间可能会更短，编译完成后，输出的打包信息如下：
[INFO] [INFO] --- maven-resources-plugin:2.2:resources (default-resources) @ hadoop-minicluster --- [INFO] Using default encoding to copy filtered resources. [INFO] [INFO] --- maven-compiler-plugin:2.5.1:compile (default-compile) @ hadoop-minicluster --- [INFO] No sources to compile [INFO] [INFO] --- maven-resources-plugin:2.2:testResources (default-testResources) @ hadoop-minicluster --- [INFO] Using default encoding to copy filtered resources. [INFO] [INFO] --- maven-compiler-plugin:2.5.1:testCompile (default-testCompile) @ hadoop-minicluster --- [INFO] No sources to compile [INFO] [INFO] --- maven-surefire-plugin:2.12.3:test (default-test) @ hadoop-minicluster --- [INFO] Tests are skipped. [INFO] [INFO] --- maven-jar-plugin:2.3.1:jar (default-jar) @ hadoop-minicluster --- [WARNING] JAR will be empty - no content was marked for inclusion! [INFO] Building jar: /root/hadoop-2.2.0-src/hadoop-minicluster/target/hadoop-minicluster-2.2.0.jar [INFO] [INFO] --- maven-source-plugin:2.1.2:jar-no-fork (hadoop-java-sources) @ hadoop-minicluster --- [INFO] No sources in project. Archive not created. [INFO] [INFO] --- maven-source-plugin:2.1.2:test-jar-no-fork (hadoop-java-sources) @ hadoop-minicluster --- [INFO] No sources in project. Archive not created. [INFO] [INFO] --- maven-site-plugin:3.0:attach-descriptor (attach-descriptor) @ hadoop-minicluster --- [INFO] [INFO] --- maven-javadoc-plugin:2.8.1:jar (module-javadocs) @ hadoop-minicluster --- [INFO] Building jar: /root/hadoop-2.2.0-src/hadoop-minicluster/target/hadoop-minicluster-2.2.0-javadoc.jar [INFO] ------------------------------------------------------------------------ [INFO] Reactor Summary: [INFO] [INFO] Apache Hadoop Main ................................ SUCCESS [01:43 min] [INFO] Apache Hadoop Project POM ......................... SUCCESS [01:21 min] [INFO] Apache Hadoop Annotations ......................... SUCCESS [ 42.256 s] [INFO] Apache Hadoop Assemblies .......................... SUCCESS [ 0.291 s] [INFO] Apache Hadoop Project Dist POM .................... SUCCESS [ 41.053 s] [INFO] Apache Hadoop Maven Plugins ....................... SUCCESS [ 44.283 s] [INFO] Apache Hadoop Auth ................................ SUCCESS [01:49 min] [INFO] Apache Hadoop Auth Examples ....................... SUCCESS [ 18.950 s] [INFO] Apache Hadoop Common .............................. SUCCESS [05:31 min] [INFO] Apache Hadoop NFS ................................. SUCCESS [ 40.498 s] [INFO] Apache Hadoop Common Project ...................... SUCCESS [ 0.050 s] [INFO] Apache Hadoop HDFS ................................ SUCCESS [03:43 min] [INFO] Apache Hadoop HttpFS .............................. SUCCESS [ 26.962 s] [INFO] Apache Hadoop HDFS BookKeeper Journal ............. SUCCESS [ 47.056 s] [INFO] Apache Hadoop HDFS-NFS ............................ SUCCESS [ 4.237 s] [INFO] Apache Hadoop HDFS Project ........................ SUCCESS [ 0.029 s] [INFO] hadoop-yarn ....................................... SUCCESS [01:25 min] [INFO] hadoop-yarn-api ................................... SUCCESS [ 40.841 s] [INFO] hadoop-yarn-common ................................ SUCCESS [ 31.228 s] [INFO] hadoop-yarn-server ................................ SUCCESS [ 0.161 s] [INFO] hadoop-yarn-server-common ......................... SUCCESS [ 12.289 s] [INFO] hadoop-yarn-server-nodemanager .................... SUCCESS [ 19.271 s] [INFO] hadoop-yarn-server-web-proxy ...................... SUCCESS [ 3.586 s] [INFO] hadoop-yarn-server-resourcemanager ................ SUCCESS [ 14.674 s] [INFO] hadoop-yarn-server-tests .......................... SUCCESS [ 1.153 s] [INFO] hadoop-yarn-client ................................ SUCCESS [ 7.861 s] [INFO] hadoop-yarn-applications .......................... SUCCESS [ 0.106 s] [INFO] hadoop-yarn-applications-distributedshell ......... SUCCESS [ 4.540 s] [INFO] hadoop-mapreduce-client ........................... SUCCESS [ 0.168 s] [INFO] hadoop-mapreduce-client-core ...................... SUCCESS [ 29.360 s] [INFO] hadoop-yarn-applications-unmanaged-am-launcher .... SUCCESS [ 3.353 s] [INFO] hadoop-yarn-site .................................. SUCCESS [ 0.128 s] [INFO] hadoop-yarn-project ............................... SUCCESS [ 29.610 s] [INFO] hadoop-mapreduce-client-common .................... SUCCESS [ 19.908 s] [INFO] hadoop-mapreduce-client-shuffle ................... SUCCESS [ 3.357 s] [INFO] hadoop-mapreduce-client-app ....................... SUCCESS [ 12.116 s] [INFO] hadoop-mapreduce-client-hs ........................ SUCCESS [ 5.807 s] [INFO] hadoop-mapreduce-client-jobclient ................. SUCCESS [ 6.713 s] [INFO] hadoop-mapreduce-client-hs-plugins ................ SUCCESS [ 2.001 s] [INFO] Apache Hadoop MapReduce Examples .................. SUCCESS [ 7.684 s] [INFO] hadoop-mapreduce .................................. SUCCESS [ 3.664 s] [INFO] Apache Hadoop MapReduce Streaming ................. SUCCESS [ 5.645 s] [INFO] Apache Hadoop Distributed Copy .................... SUCCESS [ 29.953 s] [INFO] Apache Hadoop Archives ............................ SUCCESS [ 2.277 s] [INFO] Apache Hadoop Rumen ............................... SUCCESS [ 7.743 s] [INFO] Apache Hadoop Gridmix ............................. SUCCESS [ 5.608 s] [INFO] Apache Hadoop Data Join ........................... SUCCESS [ 3.385 s] [INFO] Apache Hadoop Extras .............................. SUCCESS [ 3.509 s] [INFO] Apache Hadoop Pipes ............................... SUCCESS [ 8.266 s] [INFO] Apache Hadoop Tools Dist .......................... SUCCESS [ 2.073 s] [INFO] Apache Hadoop Tools ............................... SUCCESS [ 0.025 s] [INFO] Apache Hadoop Distribution ........................ SUCCESS [ 23.928 s] [INFO] Apache Hadoop Client .............................. SUCCESS [ 6.876 s] [INFO] Apache Hadoop Mini-Cluster ........................ SUCCESS [ 0.514 s] [INFO] ------------------------------------------------------------------------ [INFO] BUILD SUCCESS [INFO] ------------------------------------------------------------------------ [INFO] Total time: 26:04 min [INFO] Finished at: 2014-06-09T17:27:26+08:00 [INFO] Final Memory: 96M/239M [INFO] ------------------------------------------------------------------------
编译好的hadoop包，路径在：
[root@ganglia target]# pwd /root/hadoop-2.2.0-src/hadoop-dist/target [root@ganglia target]# ll 总用量 282348 drwxr-xr-x. 2 root root 4096 6月 9 17:26 antrun -rw-r--r--. 1 root root 1618 6月 9 17:26 dist-layout-stitching.sh -rw-r--r--. 1 root root 635 6月 9 17:26 dist-tar-stitching.sh drwxr-xr-x. 9 root root 4096 6月 9 17:26 hadoop-2.2.0 -rw-r--r--. 1 root root 96183833 6月 9 17:27 hadoop-2.2.0.tar.gz -rw-r--r--. 1 root root 2745 6月 9 17:26 hadoop-dist-2.2.0.jar -rw-r--r--. 1 root root 192903472 6月 9 17:27 hadoop-dist-2.2.0-javadoc.jar drwxr-xr-x. 2 root root 4096 6月 9 17:27 javadoc-bundle-options drwxr-xr-x. 2 root root 4096 6月 9 17:26 maven-archiver drwxr-xr-x. 2 root root 4096 6月 9 17:26 test-dir [root@ganglia target]#
编译完成后的本地库，位于如下位置，并查看本地库支持位数：
[root@ganglia native]# pwd /root/hadoop-2.2.0-src/hadoop-dist/target/hadoop-2.2.0/lib/native [root@ganglia native]# ll 总用量 3596 -rw-r--r--. 1 root root 733114 6月 9 17:26 libhadoop.a -rw-r--r--. 1 root root 1487236 6月 9 17:26 libhadooppipes.a lrwxrwxrwx. 1 root root 18 6月 9 17:26 libhadoop.so -> libhadoop.so.1.0.0 -rwxr-xr-x. 1 root root 411870 6月 9 17:26 libhadoop.so.1.0.0 -rw-r--r--. 1 root root 581944 6月 9 17:26 libhadooputils.a -rw-r--r--. 1 root root 273330 6月 9 17:26 libhdfs.a lrwxrwxrwx. 1 root root 16 6月 9 17:26 libhdfs.so -> libhdfs.so.0.0.0 -rwxr-xr-x. 1 root root 181042 6月 9 17:26 libhdfs.so.0.0.0 [root@ganglia native]# file libhadoop.so libhadoop.so: symbolic link to `libhadoop.so.1.0.0' [root@ganglia native]# file libhadoop.so.1.0.0 libhadoop.so.1.0.0: ELF 64-bit LSB shared object, x86-64, version 1 (SYSV), dynamically linked, not stripped [root@ganglia native]#
至此，我们的编译已经，成功完成，然后，我们就可以使用在target目录下，编译生成的hadoop新的tar.gz包，来部署我们的hadoop集群。