如何编译Apache Hadoop2.6.0源代码

时间 2019-11-30

标签如何编译 apache hadoop2.6.0 hadoop 源代码栏目 Apache 繁體版

原文原文链接

如何编译Apache Hadoop2.6.0源代码html

1．安装CentOS

我使用的是CentOS6.5，下载地址是http://mirror.neu.edu.cn/centos/6.5/isos/x86_64/，选择CentOS-6.5-x86_64-bin-DVD1.iso 下载，注意是64位的，大小是4GB，须要下载一段时间的。其实6.x的版本均可以，不必定是6.5。java

我使用的是VMWare虚拟机，分配了2GB内存，20GB磁盘空间。内存过小，会比较慢；磁盘过小，编译时可能会出现空间不足的状况。上述不是最低配置，根据本身的机器配置修改吧。还有，必定要保持linux联网状态。node

如下是按照各类软件，我把软件下载后所有复制到/usr/local目录下，如下命令执行的路径是在/usr/local目录下。请读者在阅读时，必定要注意路径。linux

2．安装JDK

hadoop是java写的，编译hadoop必须安装jdk。c++

从oracle官网下载jdk，下载地址是http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html，选择 jdk-7u45-linux-x64.tar.gz下载。web

执行如下命令解压缩jdkshell

tar -zxvf jdk-7u45-linux-x64.tar.gzapache

会生成一个文件夹jdk1.7.0_45，而后设置环境变量中。centos

执行命令 vi /etc/profile，增长如下内容到配置文件中，结果显示以下api

3．安装maven

hadoop源码是使用maven组织管理的，必须下载maven。从maven官网下载，下载地址是http://maven.apache.org/download.cgi，选择 apache-maven-3.3.3-bin.tar.gz 下载。

执行如下命令解压缩jdk

tar -zxvf apache-maven-3.3.3-bin.tar.gz

会生成一个文件夹apache-maven-3.3.3，而后设置环境变量中。

执行命令vi /etc/profile，编辑结果以下图所示

4．安装protoc

hadoop使用protocol buffer通讯，从protoc官网下载protoc，下载地址是https://code.google.com/p/protobuf/downloads/list，选择protobuf-2.5.0.tar.gz 下载。

为了编译安装protoc，须要下载几个工具，顺序执行如下命令

yum -y install gcc yum -y install gcc-c++ yum -y install make

若是操做系统是CentOS6.5那么gcc和make已经安装了。其余版本不必定。

而后执行如下命令解压缩protobuf

tar -zxvf protobuf-2.5.0.tar.gz

会生成一个文件夹protobuf-2.5.0，执行如下命令编译protobuf。

cd protobuf-2.5.0 ./configure --prefix=/usr/local/protoc/ make && make install

只要不出错就能够了。

执行完毕后，编译后的文件位于/usr/local/protoc/目录下，咱们设置一下环境变量

执行命令vi /etc/profile，编辑结果以下图所示

5．安装其余依赖

顺序执行如下命令

yum -y install cmake yum -y install openssl-devel yum -y install ncurses-devel

安装完毕便可。

6．编译hadoop2.6源码

从hadoop官网下载2.6稳定版，下载地址是http://www.apache.org/dyn/closer.cgi/hadoop/common/hadoop-2.6.0/hadoop-2.6.0-src.tar.gz。

执行如下命令解压缩jdk

tar -zxvf hadoop-2.6.0-src.tar.gz

会生成一个文件夹 hadoop-2.6.0-src。

好了，如今进入到目录/usr/local/hadoop-2.6.0-src中，执行命令

cd /usr/local/hadoop-2.6.0-src

mvn package -DskipTests -Pdist,native

该命令会从外网下载依赖的jar，编译hadoop源码，须要花费很长时间，你能够吃饭了。

在等待N久以后，能够看到以下的结果：

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

[INFO] Reactor Summary:

[INFO]

[INFO] Apache Hadoop Main ................................. SUCCESS [ 4.414 s]

[INFO] Apache Hadoop Project POM .......................... SUCCESS [ 3.132 s]

[INFO] Apache Hadoop Annotations .......................... SUCCESS [ 5.377 s]

[INFO] Apache Hadoop Assemblies ........................... SUCCESS [ 0.623 s]

[INFO] Apache Hadoop Project Dist POM ..................... SUCCESS [ 3.624 s]

[INFO] Apache Hadoop Maven Plugins ........................ SUCCESS [ 7.253 s]

[INFO] Apache Hadoop MiniKDC .............................. SUCCESS [ 5.040 s]

[INFO] Apache Hadoop Auth ................................. SUCCESS [ 9.449 s]

[INFO] Apache Hadoop Auth Examples ........................ SUCCESS [ 5.894 s]

[INFO] Apache Hadoop Common ............................... SUCCESS [02:35 min]

[INFO] Apache Hadoop NFS .................................. SUCCESS [ 9.395 s]

[INFO] Apache Hadoop KMS .................................. SUCCESS [ 12.661 s]

[INFO] Apache Hadoop Common Project ....................... SUCCESS [ 0.064 s]

[INFO] Apache Hadoop HDFS ................................. SUCCESS [02:58 min]

[INFO] Apache Hadoop HttpFS ............................... SUCCESS [ 20.099 s]

[INFO] Apache Hadoop HDFS BookKeeper Journal .............. SUCCESS [ 8.216 s]

[INFO] Apache Hadoop HDFS-NFS ............................. SUCCESS [ 5.086 s]

[INFO] Apache Hadoop HDFS Project ......................... SUCCESS [ 0.061 s]

[INFO] hadoop-yarn ........................................ SUCCESS [ 0.091 s]

[INFO] hadoop-yarn-api .................................... SUCCESS [01:45 min]

[INFO] hadoop-yarn-common ................................. SUCCESS [ 38.766 s]

[INFO] hadoop-yarn-server ................................. SUCCESS [ 0.131 s]

[INFO] hadoop-yarn-server-common .......................... SUCCESS [ 14.831 s]

[INFO] hadoop-yarn-server-nodemanager ..................... SUCCESS [ 25.612 s]

[INFO] hadoop-yarn-server-web-proxy ....................... SUCCESS [ 6.043 s]

[INFO] hadoop-yarn-server-applicationhistoryservice ....... SUCCESS [ 8.443 s]

[INFO] hadoop-yarn-server-resourcemanager ................. SUCCESS [ 29.911 s]

[INFO] hadoop-yarn-server-tests ........................... SUCCESS [ 8.606 s]

[INFO] hadoop-yarn-client ................................. SUCCESS [ 10.038 s]

[INFO] hadoop-yarn-applications ........................... SUCCESS [ 0.118 s]

[INFO] hadoop-yarn-applications-distributedshell .......... SUCCESS [ 3.389 s]

[INFO] hadoop-yarn-applications-unmanaged-am-launcher ..... SUCCESS [ 2.003 s]

[INFO] hadoop-yarn-site ................................... SUCCESS [ 0.056 s]

[INFO] hadoop-yarn-registry ............................... SUCCESS [ 6.715 s]

[INFO] hadoop-yarn-project ................................ SUCCESS [ 3.798 s]

[INFO] hadoop-mapreduce-client ............................ SUCCESS [ 0.218 s]

[INFO] hadoop-mapreduce-client-core ....................... SUCCESS [ 40.412 s]

[INFO] hadoop-mapreduce-client-common ..................... SUCCESS [ 24.370 s]

[INFO] hadoop-mapreduce-client-shuffle .................... SUCCESS [ 10.642 s]

[INFO] hadoop-mapreduce-client-app ........................ SUCCESS [ 12.325 s]

[INFO] hadoop-mapreduce-client-hs ......................... SUCCESS [ 13.119 s]

[INFO] hadoop-mapreduce-client-jobclient .................. SUCCESS [ 6.762 s]

[INFO] hadoop-mapreduce-client-hs-plugins ................. SUCCESS [ 1.958 s]

[INFO] Apache Hadoop MapReduce Examples ................... SUCCESS [ 8.129 s]

[INFO] hadoop-mapreduce ................................... SUCCESS [ 3.937 s]

[INFO] Apache Hadoop MapReduce Streaming .................. SUCCESS [ 5.881 s]

[INFO] Apache Hadoop Distributed Copy ..................... SUCCESS [ 10.755 s]

[INFO] Apache Hadoop Archives ............................. SUCCESS [ 2.511 s]

[INFO] Apache Hadoop Rumen ................................ SUCCESS [ 8.135 s]

[INFO] Apache Hadoop Gridmix .............................. SUCCESS [ 5.524 s]

[INFO] Apache Hadoop Data Join ............................ SUCCESS [ 3.702 s]

[INFO] Apache Hadoop Ant Tasks ............................ SUCCESS [ 2.582 s]

[INFO] Apache Hadoop Extras ............................... SUCCESS [ 3.400 s]

[INFO] Apache Hadoop Pipes ................................ SUCCESS [ 7.537 s]

[INFO] Apache Hadoop OpenStack support .................... SUCCESS [ 7.347 s]

[INFO] Apache Hadoop Amazon Web Services support .......... SUCCESS [ 8.864 s]

[INFO] Apache Hadoop Client ............................... SUCCESS [ 5.480 s]

[INFO] Apache Hadoop Mini-Cluster ......................... SUCCESS [ 0.084 s]

[INFO] Apache Hadoop Scheduler Load Simulator ............. SUCCESS [ 5.272 s]

[INFO] Apache Hadoop Tools Dist ........................... SUCCESS [ 6.860 s]

[INFO] Apache Hadoop Tools ................................ SUCCESS [ 0.026 s]

[INFO] Apache Hadoop Distribution ......................... SUCCESS [ 31.834 s]

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

[INFO] BUILD SUCCESS

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

[INFO] Total time: 15:44 min

[INFO] Finished at: 2015-07-13T00:23:42-07:00

[INFO] Final Memory: 101M/326M

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

[root@crxy96 hadoop-2.6.0-src]#

好了，编译完成了。

编译后的代码在/usr/local/hadoop-2.6.0-src/hadoop-dist/target下面。

7．动手时的注意事项

这是我整理好的全部资料，在编译过程当中用到的各个包，这里都有。结构以下

若是对linux不熟悉，必定使用咱们推荐的centos6.5 64位操做系统。由于本文介绍的各类操做都是针对该版本的操做系统。

编译过程当中须要的jar依赖，我已经所有下载了，而且打包，你们可使用个人把内容替换。Maven仓库的默认位置在~/.m2/repository中，你们解压个人repository替换本身的就行。

重要提示：必定要保证虚拟机的网络畅通。

a) 伪分布配置

1.把从文件夹“编译成功的hadoop2.6.0的64位版本”中解压hadoop-dist-2.6.0-binary-64.tar.gz 获得的hadoop-2.6.0放到/usr/local目录下。放好后，完整的目录结构是/usr/local/hadoop-2.6.0

若是是源代码编译的话，这里的路径指的是

2.文件夹“hadoop2.6.0伪分布配置文件”中的配置内容是伪分布设置。把这个目录中的全部内容复制到/usr/local/hadoop-2.6.0/etc/hadoop目录下，覆盖原有文件。

3.修改core-site.xml中的hdfs://crxy213.crxy:9000的值，改为本身的ip或者主机名

4.格式化，执行命令/usr/local/hadoop-2.6.0/sbin/hdfs namenode -format

5.启动，执行脚本/usr/local/hadoop-2.6.0/sbin/start-hadoop.sh