需要的环境和工具
（1） Ubuntu server 14.04 64位机器 四台左右（虚拟机也可以，装机器的时候，安装一台，然后克隆出来四台，是一样的，不需要一个个安装），虚拟机不会安装的详细见我的：http://blog.csdn.net/u014716068/article/details/51829084
（2） Windows 7操作系统
（3） Xshell 远程软件，如果不向麻烦就是这种方法
参考文档：
安装JDK：
（1） http://blog.csdn.net/shines/article/details/45463497
（2） http://www.linuxidc.com/Linux/2015-03/114618.htm
编译Hadoop：
（1） http://blog.csdn.net/myarrow/article/details/51037368
（2） http://blog.sina.com.cn/s/blog_549667a50102v83x.html
（3） http://blog.csdn.net/yuzhiyuxia/article/details/19617483
下载Hadoop地址：
（1） http://hadoop.apache.org/ 官网
（2） http://hadoop.apache.org/releases.html releases地址
（3） http://mirrors.tuna.tsinghua.edu.cn/apache/hadoop/common/hadoop-2.6.4/hadoop-2.6.4-src.tar.gz Hadoop 2.6.4 下载地址
*下载地址：
（1） https://github.com/get*/* 项目地址
（2） https://raw.githubusercontent.com/get*/*-binaries/master/*-installer-3.0.4-64-bit.deb 下载地址
注意：以下都是在root用户下完成的，不喜欢撸（打）sudo这个单词。
Step1 配置JDK环境
- 自动化安装jdk
因为安装的ubuntu server 14.04 的初始版本是没有JDK的：
root@master:~# javac
The program 'javac' can be found in the following packages:
* default-jdk
* ecj
* gcj-4.8-jdk
* openjdk-7-jdk
* gcj-4.6-jdk
* openjdk-6-jdk
Try: apt-get install <selected package>
root@master:~#
所以需要我们安装包安装jdk也行，自动安装也行。安装包的话，见我的参考文档，自动的话，我们开始吧。
输入命令：
root@master:~# apt-get install openjdk-7-jdk安装的时间比较长，需要等待一段时间。
- 配置JDK的环境变量
Jdk安装完成后，我们需要配置一下环境变量，至于这个java安装到哪了，我们需要查找一下，在这里查找jre*即可，因为jre一般都放在java目录下的：
root@master:~# find / -name 'jre*'
/usr/lib/jvm/java-7-openjdk-amd64/jre
root@master:~#
配置java的环境变量：
root@master:~# vi /etc/profile
将这些输入到最后：
export JAVA_HOME=/usr/lib/jvm/java-7-openjdk-amd64
export JRE_HOME=$JAVA_HOME/jre
export CLASSPATH=.:$JAVA_HOME/lib:$JRE_HOME/lib:$CLASSPATH
export PATH=$JAVA_HOME/bin:$JRE_HOME/bin:$PATH
重新启动机器，查看java的版本信息，如果出现如下信息，则安装成功：
root@master:~# java -version
java version "1.7.0_101"
OpenJDK Runtime Environment (IcedTea 2.6.6) (7u101-2.6.6-0ubuntu0.14.04.1)
OpenJDK 64-Bit Server VM (build 24.95-b01, mixed mode)
root@master:~#
- 安装Maven编译器
Maven：
maven是一个项目构建和管理的工具，提供了帮助管理 构建、文档、报告、依赖、scms、发布、分发的方法。可以方便的编译代码、进行依赖管理、管理二进制库等等。
maven的好处在于可以将项目过程规范化、自动化、高效化以及强大的可扩展性
利用maven自身及其插件还可以获得代码检查报告、单元测试覆盖率、实现持续集成等等。
在这里是自动化安装，当然是直接命令啦：
root@master:~# apt-get install maven经过漫长的等待，如果输入查看版本信息，输出版本信息则证明安装成功：
root@master:~# mvn --version
Apache Maven 3.0.5
Maven home: /usr/share/maven
Java version: 1.7.0_101, vendor: Oracle Corporation
Java home: /usr/lib/jvm/java-7-openjdk-amd64/jre
Default locale: en_US, platform encoding: UTF-8
OS name: "linux", version: "3.13.0-24-generic", arch: "amd64", family: "unix"
root@master:~#
- 安装openssh
Openssh：
OpenSSH 是 SSH （Secure SHell） 协议的免费开源实现。SSH协议族可以用来进行远程控制， 或在计算机之间传送文件。而实现此功能的传统方式，如telnet(终端仿真协议)、 rcp ftp、 rlogin、rsh都是极为不安全的，并且会使用明文传送密码。OpenSSH提供了服务端后台程序和客户端工具，用来加密远程控件和文件传输过程中的数据，并由此来代替原来的类似服务。
OpenSSH是使用SSH透过计算机网络加密通讯的实现。它是取代由SSH Communications Security所提供的商用版本的开放源代码方案。目前OpenSSH是OpenBSD的子计划。
OpenSSH常常被误认以为与OpenSSL有关联，但实际上这两个计划的有不同的目的，不同的发展团队，名称相近只是因为两者有同样的软件发展目标──提供开放源代码的加密通讯软件。
现在上命令：
apt-get install openssh-server openssh-client又是一段漫长的等待啊：
root@master:~# apt-get install openssh-server openssh-client
Reading package lists... Done
Building dependency tree
Reading state information... Done
Suggested packages:
ssh-askpass libpam-ssh keychain monkeysphere rssh molly-guard
The following packages will be upgraded:
openssh-client openssh-server
2 upgraded, 0 newly installed, 0 to remove and 204 not upgraded.
Need to get 885 kB of archives.
After this operation, 4,096 B of additional disk space will be used.
Get:1 http://us.archive.ubuntu.com/ubuntu/ trusty-updates/main openssh-server amd64 1:6.6p1-2ubuntu2.7 [322 kB]
Get:2 http://us.archive.ubuntu.com/ubuntu/ trusty-updates/main openssh-client amd64 1:6.6p1-2ubuntu2.7 [564 kB]
Fetched 885 kB in 2min 44s (5,390 B/s)
Preconfiguring packages ...
(Reading database ... 65436 files and directories currently installed.)
Preparing to unpack .../openssh-server_1%3a6.6p1-2ubuntu2.7_amd64.deb ...
Unpacking openssh-server (1:6.6p1-2ubuntu2.7) over (1:6.6p1-2ubuntu1) ...
Preparing to unpack .../openssh-client_1%3a6.6p1-2ubuntu2.7_amd64.deb ...
Unpacking openssh-client (1:6.6p1-2ubuntu2.7) over (1:6.6p1-2ubuntu1) ...
Processing triggers for ureadahead (0.100.0-16) ...
ureadahead will be reprofiled on next reboot
Processing triggers for ufw (0.34~rc-0ubuntu2) ...
Processing triggers for man-db (2.6.7.1-1) ...
Setting up openssh-client (1:6.6p1-2ubuntu2.7) ...
Setting up openssh-server (1:6.6p1-2ubuntu2.7) ...
ssh stop/waiting
ssh start/running, process 4902
root@master:~#
- 安装protobuf-compiler
Protobuf：
Protocol Buffers (ProtocolBuffer/ protobuf )是Google公司开发的一种数据描述语言，类似于XML能够将结构化数据序列化，可用于数据存储、通信协议等方面。现阶段支持C++、JAVA、Python等三种编程语言。
root@master:~# apt-get install protobuf-compiler
Reading package lists... Done
Building dependency tree
Reading state information... Done
The following extra packages will be installed:
libprotobuf8 libprotoc8
The following NEW packages will be installed:
libprotobuf8 libprotoc8 protobuf-compiler
0 upgraded, 3 newly installed, 0 to remove and 204 not upgraded.
Need to get 550 kB of archives.
After this operation, 2,133 kB of additional disk space will be used.
Do you want to continue? [Y/n] y
Get:1 http://us.archive.ubuntu.com/ubuntu/ trusty/main libprotobuf8 amd64 2.5.0-9ubuntu1 [296 kB]
Get:2 http://us.archive.ubuntu.com/ubuntu/ trusty/main libprotoc8 amd64 2.5.0-9ubuntu1 [235 kB]
Get:3 http://us.archive.ubuntu.com/ubuntu/ trusty/main protobuf-compiler amd64 2.5.0-9ubuntu1 [19.8 kB]
Fetched 550 kB in 3s (173 kB/s)
Selecting previously unselected package libprotobuf8:amd64.
(Reading database ... 65436 files and directories currently installed.)
Preparing to unpack .../libprotobuf8_2.5.0-9ubuntu1_amd64.deb ...
Unpacking libprotobuf8:amd64 (2.5.0-9ubuntu1) ...
Selecting previously unselected package libprotoc8:amd64.
Preparing to unpack .../libprotoc8_2.5.0-9ubuntu1_amd64.deb ...
Unpacking libprotoc8:amd64 (2.5.0-9ubuntu1) ...
Selecting previously unselected package protobuf-compiler.
Preparing to unpack .../protobuf-compiler_2.5.0-9ubuntu1_amd64.deb ...
Unpacking protobuf-compiler (2.5.0-9ubuntu1) ...
Processing triggers for man-db (2.6.7.1-1) ...
Setting up libprotobuf8:amd64 (2.5.0-9ubuntu1) ...
Setting up libprotoc8:amd64 (2.5.0-9ubuntu1) ...
Setting up protobuf-compiler (2.5.0-9ubuntu1) ...
Processing triggers for libc-bin (2.19-0ubuntu6) ...
root@master:~# protoc --version
libprotoc 2.5.0
root@master:~#
- 安装依赖库
这些库啊包啊基本都会在编译过程中用到，缺少的话会影响编译，看到error了再找solution非常麻烦，提前装好一劳永逸。
apt-get install g++ autoconf automake libtool cmake zlib1g-dev pkg-config libssl-dev- 安装findbugs
FindBugs：
是一个静态分析工具，它检查类或者 JAR 文件，将字节码与一组缺陷模式进行对比以发现可能的问题。有了静态分析工具，就可以在不实际运行程序的情况对软件进行分析。不是通过分析类文件的形式或结构来确定程序的意图，而是通常使用 Visitor 模式（请参阅 参考资料）。图 1 显示了分析一个匿名项目的结果（为防止可怕的犯罪，这里不给出它的名字）：
在FindBugs的GUI中，需要先选择待扫描的.class文件(FindBugs其实就是对编译后的class进行扫描，藉以发现一些隐藏的bug。)。如果你拥有这些.class档对应的源文件，可把这些.java文件再选上，这样便可以从稍后得出的报告中快捷的定位到出问题的代码上面。此外，还可以选上工程所使用的library，这样似乎可以帮助FindBugs做一些高阶的检查，藉以发现一些更深层的bug。
选定了以上各项后，便可以开始检测了。检测的过程可能会花好几分钟，具体视工程的规模而定。检测完毕可生成一份详细的报告，藉由这份报告，可以发现许多代码中间潜在的bug。比较典型的，如引用了空指针(null pointer dereference), 特定的资源(db connection)未关闭，等等。如果用人工检查的方式，这些bug可能很难才会被发现，或许永远也无法发现，直到运行时发作…当除掉了这些典型的 (classic) bug后，可以确信的是，我们的系统稳定度将会上一个新的台阶。
以目前遇到的状况来看，FindBugs可以有两种使用时机。
输入命令（自我感觉这个用处不大，但是为了防止后面出现问题，还是多此一举吧）：
root@master:~# apt-get install findbugs- 开始编译
给大家道个歉，因为我说过，是纯手打编译的，但是这个命令是我拷贝的，因为太长了，地址怕搞错，所以在现实工作环境中，没有拷贝环境的话，还是请大家手打吧，敲得时候认真点。首先，我们需要在网上下载一个Hadoop版本，我用的是Hadoop 2.6.4版本的，下载地址：
root@master:~# wget http://mirrors.tuna.tsinghua.edu.cn/apache/hadoop/common/hadoop-2.6.4/hadoop-2.6.4-src.tar.gz
--2016-07-05 18:24:46-- http://mirrors.tuna.tsinghua.edu.cn/apache/hadoop/common/hadoop-2.6.4/hadoop-2.6.4-src.tar.gz
Resolving mirrors.tuna.tsinghua.edu.cn (mirrors.tuna.tsinghua.edu.cn)... 166.111.206.63, 2402:f000:1:416:166:111:206:63
Connecting to mirrors.tuna.tsinghua.edu.cn (mirrors.tuna.tsinghua.edu.cn)|166.111.206.63|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 17282122 (16M) [application/octet-stream]
Saving to: ‘hadoop-2.6.4-src.tar.gz’
100%[========================================================================================>] 17,282,122 10.2MB/s in 1.6s
2016-07-05 18:24:48 (10.2 MB/s) - ‘hadoop-2.6.4-src.tar.gz’ saved [17282122/17282122]
root@master:~# ls
hadoop-2.6.4-src.tar.gz
解压文件夹到当前目录：
root@master:~# tar -zxvf hadoop-2.6.4-src.tar.gz
root@master:~# ls
hadoop-2.6.4-src hadoop-2.6.4-src.tar.gz
进入到Hadoop-2.6.4-src文件中：
root@master:~#cd /root/xyj/hadoop-2.6.4-src
激动人心的时刻到了，终于到了编译时刻了：
root@master:~/hadoop-2.6.4-src# mvn clean package -Pdist,native -DskipTests -DtarOK，在这里我们需要等待漫长的时间。期间保证网速达到要求，不断电，一般都是一两个小时即可完成编译，如果设备和网络的原因，那就需要时间大于2小时不等了。
Hadoop下载地址怎么找？
【首先来到官网：http://hadoop.apache.org/，找到Getting Started，点击Download，进入到Hadoop的release版本下载地址：http://hadoop.apache.org/releases.html，我们会发现很多版本的下载地址，在这里选择一个你认为顺眼的一个，我选择是Hadoop 2.6.4，点击Tarball下对应的source，进入到：http://www.apache.org/dyn/closer.cgi/hadoop/common/hadoop-2.6.4/hadoop-2.6.4-src.tar.gz，我们会发现一个http地址，将这个地址就是我们的下载地址。把地址放在wget后面即可！】
- 问题解决
程序员最怕就是bug了，改不出bug，就是我们的噩梦，Error同样恐怖啊！！！但是我们还是要面对问题的，遇到问题要慢慢来解决，随话说，改bug不只有今天的苟且，还有明天和后天，我就不信改不出来，有时候你会发现，突然他就那么好了，虽然不知道什么问题。
错误1：
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 54:47.276s
[INFO] Finished at: Tue Jul 05 07:16:18 EDT 2016
[INFO] Final Memory: 80M/473M
[INFO] ------------------------------------------------------------------------
[ERROR] Failed to execute goal on project hadoop-hdfs-httpfs: Could not resolve dependencies for project org.apache.hadoop:hadoop-hdfs-httpfs:war:2.6.4: Failed to collect dependencies for [junit:junit:jar:4.11 (test), org.mockito:mockito-all:jar:1.8.5 (test), org.apache.hadoop:hadoop-auth:jar:2.6.4 (compile), com.sun.jersey:jersey-core:jar:1.9 (compile), com.sun.jersey:jersey-server:jar:1.9 (compile), javax.servlet:servlet-api:jar:2.5 (provided), com.google.guava:guava:jar:11.0.2 (compile), com.googlecode.json-simple:json-simple:jar:1.1 (compile), org.mortbay.jetty:jetty:jar:6.1.26 (test), org.apache.hadoop:hadoop-common:jar:2.6.4 (compile), org.apache.hadoop:hadoop-hdfs:jar:2.6.4 (compile), org.apache.hadoop:hadoop-common:jar:tests:2.6.4 (test), org.apache.hadoop:hadoop-hdfs:jar:tests:2.6.4 (test), log4j:log4j:jar:1.2.17 (compile), org.slf4j:slf4j-api:jar:1.7.5 (compile), org.slf4j:slf4j-log4j12:jar:1.7.5 (runtime)]: Failed to read artifact descriptor for com.googlecode.json-simple:json-simple:jar:1.1: Could not transfer artifact com.googlecode.json-simple:json-simple:pom:1.1 from/to central (http://repo.maven.apache.org/maven2): Connection to http://repo.maven.apache.org refused: Connection refused -> [Help 1]
[ERROR]
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR]
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/DependencyResolutionException
[ERROR]
[ERROR] After correcting the problems, you can resume the build with the command
[ERROR] mvn <goals> -rf :hadoop-hdfs-httpfs
root@master:~/xyj/hadoop-2.6.4-src#
去吃了个饭，发现编译出错了，好了，开始解决吧！在网上搜错误怎么解决，没找到，还是自己看日志吧，日志大致意思是tomcat服务器有问题，所以我感觉自己安装的新系统没有装tomcat服务器，所以输入命令：
root@master:~/xyj/hadoop-2.6.4-src# apt-get install tomcat7
重新编译：
root@master:~/xyj/hadoop-2.6.4-src# mvn clean package -Pdist,native -DskipTests -Dtar
漫长的等待，以为上面没有解决问题呢，但是我发现，编译刚才错的那一块竟然过去了，过去了就过去了吧，这也是解决问题的方法之一，总比没解决问题吧，唯一的不足之处就是真正不知道错哪了，只是凭感觉走的，正好误打误撞过去了，希望不是吧！
错误2：
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 1:14:21.695s
[INFO] Finished at: Tue Jul 05 09:21:06 EDT 2016
[INFO] Final Memory: 76M/439M
[INFO] ------------------------------------------------------------------------
[ERROR] Failed to execute goal on project hadoop-yarn-server-nodemanager: Could not resolve dependencies for project org.apache.hadoop:hadoop-yarn-server-nodemanager:jar:2.6.4: Failed to collect dependencies for [org.apache.hadoop:hadoop-common:jar:2.6.4 (provided), org.apache.hadoop:hadoop-yarn-common:jar:2.6.4 (compile), org.apache.hadoop:hadoop-yarn-api:jar:2.6.4 (compile), javax.xml.bind:jaxb-api:jar:2.2.2 (compile), org.codehaus.jettison:jettison:jar:1.1 (compile), commons-lang:commons-lang:jar:2.6 (compile), javax.servlet:servlet-api:jar:2.5 (compile), commons-codec:commons-codec:jar:1.4 (compile), com.sun.jersey:jersey-core:jar:1.9 (compile), com.sun.jersey:jersey-client:jar:1.9 (compile), org.mortbay.jetty:jetty-util:jar:6.1.26 (compile), com.google.guava:guava:jar:11.0.2 (compile), commons-logging:commons-logging:jar:1.1.3 (compile), org.slf4j:slf4j-api:jar:1.7.5 (compile), org.apache.hadoop:hadoop-annotations:jar:2.6.4 (compile), org.apache.hadoop:hadoop-common:jar:tests:2.6.4 (test), com.google.inject.extensions:guice-servlet:jar:3.0 (compile), com.google.protobuf:protobuf-java:jar:2.5.0 (compile), junit:junit:jar:4.11 (test), org.mockito:mockito-all:jar:1.8.5 (test), com.google.inject:guice:jar:3.0 (compile), com.sun.jersey.jersey-test-framework:jersey-test-framework-grizzly2:jar:1.9 (test), com.sun.jersey:jersey-json:jar:1.9 (compile), com.sun.jersey.contribs:jersey-guice:jar:1.9 (compile), org.apache.hadoop:hadoop-yarn-common:jar:tests:2.6.4 (test), org.apache.hadoop:hadoop-yarn-server-common:jar:2.6.4 (compile), org.fusesource.leveldbjni:leveldbjni-all:jar:1.8 (compile)]: Failed to read artifact descriptor for org.glassfish.grizzly:grizzly-http:jar:2.1.2: Could not transfer artifact org.glassfish.grizzly:grizzly-http:pom:2.1.2 from/to apache.snapshots.https (https://repository.apache.org/content/repositories/snapshots): Read timed out -> [Help 1]
[ERROR]
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR]
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/DependencyResolutionException
[ERROR]
[ERROR] After correcting the problems, you can resume the build with the command
[ERROR] mvn <goals> -rf :hadoop-yarn-server-nodemanager
真是头疼，好好搜搜问题解决方法吧！告诉大家一个调试详细错误的命令，在原有命令上添加一个 –X参数，我们就可以看到详细的编译过程了：
root@master:~/xyj/hadoop-2.6.4-src# mvn clean package -Pdist,native -DskipTests -Dtar -X这个问题，我找了很多网站，也是找不到结果，看了很多的帖子和问题，归根一点就是我的网速和镜像站的问题，可能是网速有时候太慢，网络不能访问到外网的原因吧！所以索性下载了一个*，*用的（也可能是网络原因，网络在某个时刻下载大文件卡住了，然后编译执行到这一步，没有这个文件，或者是文件下载不全，都会引起编译失败，所以不一定是*的原因，可能是网络在编译时寻找路由或者是网站的时候，没有找到，第二次就找到了，这怎么感觉就是拼人品啊！）。
接下来就教大家安装*吧！
Github下载地址（github源码地址见上面网址）：
root@master:~/xyj# wget https://raw.githubusercontent.com/get*/*-binaries/master/*-installer-3.0.4-64-bit.deb安装工具：
root@master:~/xyj# apt-get install gdebi-core
root@master:~/xyj# apt-get install libappindicator3-1
安装开启：
root@master:~/xyj #gdebi *-installer-3.0.4-64-bit.deb
root@master:~/xyj#*
root@master:~# *
Running installation script...
/usr/lib/*/*-binary: OK
Jul 06 09:24:51.955 - 0m0s DEBUG flashlight: flashlight.go:49 ****************************** Package Version: 2.1.2
Jul 06 09:24:51.956 - 0m0s DEBUG flashlight.ui: ui.go:58 Creating tarfs filesystem that prefers local resources at /*/src/github.com/get*/*-ui/app
Jul 06 09:24:51.960 - 0m0s DEBUG flashlight: settings.go:57 Loading settings
Jul 06 09:24:51.960 - 0m0s DEBUG flashlight: settings.go:70 Could not read file open /root/.*/settings.yaml: no such file or directory
Jul 06 09:24:51.961 - 0m0s DEBUG flashlight.ui: service.go:134 Accepting websocket connections at: /data
Jul 06 09:24:51.962 - 0m0s DEBUG flashlight: settings.go:99 Sending * settings to new client
Jul 06 09:24:51.965 - 0m0s DEBUG flashlight: settings.go:109 Reading settings messages!!
Jul 06 09:24:52.000 - 0m0s DEBUG flashlight: flashlight.go:49 ****************************** Package Version: 2.1.2
Jul 06 09:24:52.001 - 0m0s DEBUG flashlight.ui: ui.go:58 Creating tarfs filesystem that prefers local resources at /*/src/github.com/get*/*-ui/app
Jul 06 09:24:52.028 - 0m0s DEBUG flashlight: settings.go:57 Loading settings
Jul 06 09:24:52.028 - 0m0s DEBUG flashlight: settings.go:70 Could not read file open /root/.*/settings.yaml: no such file or directory
Jul 06 09:24:52.031 - 0m0s DEBUG flashlight.ui: service.go:134 Accepting websocket connections at: /data
Jul 06 09:24:52.032 - 0m0s DEBUG flashlight: settings.go:99 Sending * settings to new client
Jul 06 09:24:52.037 - 0m0s DEBUG flashlight: settings.go:109 Reading settings messages!!
(*:18322): Gtk-WARNING **: cannot open display:
查看一下：
root@master:~# ps -aux | grep *
root 18331 0.0 0.0 11740 940 pts/1 S+ 05:26 0:00 grep --color=auto *
好了，这个安装完，我们继续吧！我感觉只是给自己一个心理安慰，这个重新编译是否成功，就看人品了！还好，编译通过了，感谢人品啊！
- 找到编译结果
以上编译需要经过漫长的等待时间，终于看到了结果，如下：
[INFO] Reactor Summary:
[INFO]
[INFO] Apache Hadoop Main ................................ SUCCESS [4.493s]
[INFO] Apache Hadoop Project POM ......................... SUCCESS [3.007s]
[INFO] Apache Hadoop Annotations ......................... SUCCESS [5.774s]
[INFO] Apache Hadoop Assemblies .......................... SUCCESS [0.552s]
[INFO] Apache Hadoop Project Dist POM .................... SUCCESS [5.550s]
[INFO] Apache Hadoop Maven Plugins ....................... SUCCESS [12.361s]
[INFO] Apache Hadoop MiniKDC ............................. SUCCESS [15.264s]
[INFO] Apache Hadoop Auth ................................ SUCCESS [15.034s]
[INFO] Apache Hadoop Auth Examples ....................... SUCCESS [8.842s]
[INFO] Apache Hadoop Common .............................. SUCCESS [5:43.242s]
[INFO] Apache Hadoop NFS ................................. SUCCESS [31.949s]
[INFO] Apache Hadoop KMS ................................. SUCCESS [35.223s]
[INFO] Apache Hadoop Common Project ...................... SUCCESS [0.500s]
[INFO] Apache Hadoop HDFS ................................ SUCCESS [9:19.175s]
[INFO] Apache Hadoop HttpFS .............................. SUCCESS [1:12.408s]
[INFO] Apache Hadoop HDFS BookKeeper Journal ............. SUCCESS [25.086s]
[INFO] Apache Hadoop HDFS-NFS ............................ SUCCESS [14.865s]
[INFO] Apache Hadoop HDFS Project ........................ SUCCESS [0.188s]
[INFO] hadoop-yarn ....................................... SUCCESS [0.167s]
[INFO] hadoop-yarn-api ................................... SUCCESS [2:13.539s]
[INFO] hadoop-yarn-common ................................ SUCCESS [1:57.809s]
[INFO] hadoop-yarn-server ................................ SUCCESS [1.107s]
[INFO] hadoop-yarn-server-common ......................... SUCCESS [38.032s]
[INFO] hadoop-yarn-server-nodemanager .................... SUCCESS [1:03.906s]
[INFO] hadoop-yarn-server-web-proxy ...................... SUCCESS [9.610s]
[INFO] hadoop-yarn-server-applicationhistoryservice ...... SUCCESS [15.939s]
[INFO] hadoop-yarn-server-resourcemanager ................ SUCCESS [1:06.344s]
[INFO] hadoop-yarn-server-tests .......................... SUCCESS [23.420s]
[INFO] hadoop-yarn-client ................................ SUCCESS [18.195s]
[INFO] hadoop-yarn-applications .......................... SUCCESS [0.291s]
[INFO] hadoop-yarn-applications-distributedshell ......... SUCCESS [5.631s]
[INFO] hadoop-yarn-applications-unmanaged-am-launcher .... SUCCESS [3.816s]
[INFO] hadoop-yarn-site .................................. SUCCESS [0.152s]
[INFO] hadoop-yarn-registry .............................. SUCCESS [11.657s]
[INFO] hadoop-yarn-project ............................... SUCCESS [23.399s]
[INFO] hadoop-mapreduce-client ........................... SUCCESS [0.980s]
[INFO] hadoop-mapreduce-client-core ...................... SUCCESS [1:26.429s]
[INFO] hadoop-mapreduce-client-common .................... SUCCESS [1:00.837s]
[INFO] hadoop-mapreduce-client-shuffle ................... SUCCESS [18.942s]
[INFO] hadoop-mapreduce-client-app ....................... SUCCESS [28.096s]
[INFO] hadoop-mapreduce-client-hs ........................ SUCCESS [21.970s]
[INFO] hadoop-mapreduce-client-jobclient ................. SUCCESS [35.789s]
[INFO] hadoop-mapreduce-client-hs-plugins ................ SUCCESS [5.011s]
[INFO] Apache Hadoop MapReduce Examples .................. SUCCESS [11.536s]
[INFO] hadoop-mapreduce .................................. SUCCESS [17.663s]
[INFO] Apache Hadoop MapReduce Streaming ................. SUCCESS [19.450s]
[INFO] Apache Hadoop Distributed Copy .................... SUCCESS [59.560s]
[INFO] Apache Hadoop Archives ............................ SUCCESS [9.721s]
[INFO] Apache Hadoop Rumen ............................... SUCCESS [17.239s]
[INFO] Apache Hadoop Gridmix ............................. SUCCESS [11.690s]
[INFO] Apache Hadoop Data Join ........................... SUCCESS [11.958s]
[INFO] Apache Hadoop Ant Tasks ........................... SUCCESS [7.894s]
[INFO] Apache Hadoop Extras .............................. SUCCESS [6.610s]
[INFO] Apache Hadoop Pipes ............................... SUCCESS [29.171s]
[INFO] Apache Hadoop OpenStack support ................... SUCCESS [25.039s]
[INFO] Apache Hadoop Amazon Web Services support ......... SUCCESS [4:21.123s]
[INFO] Apache Hadoop Client .............................. SUCCESS [24.644s]
[INFO] Apache Hadoop Mini-Cluster ........................ SUCCESS [0.710s]
[INFO] Apache Hadoop Scheduler Load Simulator ............ SUCCESS [22.584s]
[INFO] Apache Hadoop Tools Dist .......................... SUCCESS [32.450s]
[INFO] Apache Hadoop Tools ............................... SUCCESS [1.933s]
[INFO] Apache Hadoop Distribution ........................ SUCCESS [3:01.581s]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 45:05.494s
[INFO] Finished at: Wed Jul 06 06:14:20 EDT 2016
[INFO] Final Memory: 101M/473M
[INFO] ------------------------------------------------------------------------
上图显示了编译的所有文件，他们都是分布一个个编译，当失败到哪，就会把成功的和失败的，跳过失败之后的那些项目显示出来，这个忘了截图，好吧！你们自己编译会看到的。
编译好之后，我们需要找到我们编译好的包，路径是：
root@master:~/xyj/hadoop-2.6.4-src/hadoop-dist/target# pwd
/root/xyj/hadoop-2.6.4-src/hadoop-dist/target
root@master:~/xyj/hadoop-2.6.4-src/hadoop-dist/target# ll
total 539268
drwxr-xr-x 7 root root 4096 Jul 6 06:13 ./
drwxr-xr-x 3 root root 4096 Jul 6 06:11 ../
drwxr-xr-x 2 root root 4096 Jul 6 06:11 antrun/
-rw-r--r-- 1 root root 1866 Jul 6 06:11 dist-layout-stitching.sh
-rw-r--r-- 1 root root 639 Jul 6 06:11 dist-tar-stitching.sh
drwxr-xr-x 9 root root 4096 Jul 6 06:11 hadoop-2.6.4/
-rw-r--r-- 1 root root 183757063 Jul 6 06:12 hadoop-2.6.4.tar.gz
-rw-r--r-- 1 root root 2779 Jul 6 06:11 hadoop-dist-2.6.4.jar
-rw-r--r-- 1 root root 368403396 Jul 6 06:14 hadoop-dist-2.6.4-javadoc.jar
drwxr-xr-x 2 root root 4096 Jul 6 06:13 javadoc-bundle-options/
drwxr-xr-x 2 root root 4096 Jul 6 06:11 maven-archiver/
drwxr-xr-x 2 root root 4096 Jul 6 06:11 test-dir/
其中有一个hadoop-2.6.4.tar.gz的包就是的，还有解压好的hadoop-2.6.4文件夹。
Hadoop的版本信息：
root@master:~/xyj/hadoop-2.6.4-src/hadoop-dist/target/hadoop-2.6.4/bin# ./hadoop version
Hadoop 2.6.4
Subversion Unknown -r Unknown
Compiled by root on 2016-07-06T09:30Z
Compiled with protoc 2.5.0
From source with checksum 8dee2286ecdbbbc930a6c87b65cbc010
This command was run using /root/xyj/hadoop-2.6.4-src/hadoop-dist/target/hadoop-2.6.4/share/hadoop/common/hadoop-common-2.6.4.jar
root@master:~/xyj/hadoop-2.6.4-src/hadoop-dist/target/hadoop-2.6.4/bin# pwd
/root/xyj/hadoop-2.6.4-src/hadoop-dist/target/hadoop-2.6.4/bin
Hadoop的动态库连接库：
/root/xyj/hadoop-2.6.4-src/hadoop-dist/target/hadoop-2.6.4/lib/native
root@master:~/xyj/hadoop-2.6.4-src/hadoop-dist/target/hadoop-2.6.4/lib/native# file *
libhadoop.a: current ar archive
libhadooppipes.a: current ar archive
libhadoop.so: symbolic link to `libhadoop.so.1.0.0'
libhadoop.so.1.0.0: ELF 64-bit LSB shared object, x86-64, version 1 (SYSV), dynamically linked, BuildID[sha1]=2414b17dc9802b68da89538507e71ff61c8630c4, not stripped
libhadooputils.a: current ar archive
libhdfs.a: current ar archive
libhdfs.so: symbolic link to `libhdfs.so.0.0.0'
libhdfs.so.0.0.0: ELF 64-bit LSB shared object, x86-64, version 1 (SYSV), dynamically linked, BuildID[sha1]=a5aa61121dfb8d075dca4deab83067c812acd4c4, not stripped
root@master:~/xyj/hadoop-2.6.4-src/hadoop-dist/target/hadoop-2.6.4/lib/native# ll
total 4768
drwxr-xr-x 2 root root 4096 Jul 6 06:11 ./
drwxr-xr-x 3 root root 4096 Jul 6 06:11 ../
-rw-r--r-- 1 root root 1278070 Jul 6 06:11 libhadoop.a
-rw-r--r-- 1 root root 1632656 Jul 6 06:11 libhadooppipes.a
lrwxrwxrwx 1 root root 18 Jul 6 06:11 libhadoop.so -> libhadoop.so.1.0.0*
-rwxr-xr-x 1 root root 750783 Jul 6 06:11 libhadoop.so.1.0.0*
-rw-r--r-- 1 root root 476210 Jul 6 06:11 libhadooputils.a
-rw-r--r-- 1 root root 441046 Jul 6 06:11 libhdfs.a
lrwxrwxrwx 1 root root 16 Jul 6 06:11 libhdfs.so -> libhdfs.so.0.0.0*
-rwxr-xr-x 1 root root 282519 Jul 6 06:11 libhdfs.so.0.0.0*
root@master:~/xyj/hadoop-2.6.4-src/hadoop-dist/target/hadoop-2.6.4/lib/native#
那个hadoop-2.6.4.tar.gz中的文件解压后和这个一样。一会用的时候拷贝那个hadoop-2.6.4.tar.gz的文件，人嘛，就喜欢用原装的，嘻嘻。。。
- 小结
至此，Hadoop-2.6.4版本的编译好了。给大家的承诺是全键盘操作，不过我自己就作弊了，给大家拷贝了那么多流程，还有一个网址，懒得打，对于初学者，还是建议大家一个字一个字敲下去，对于成熟的开发人员，这个你们自便。
对于里面出现的一些问题，以及我没遇到的问题，可能你们在安装的时候，会出现问题，请大家积极去解决它，一天不行两天，两天不行三天，三天不行放弃吧！不必浪费这么多时间了，再重新搞，或者是把问题消灭掉。
编译的过程大致是，mvn这个软件将我们编译Hadoop的文件全部下载到本地，然后慢慢的一个一个编译，直到编译成功。如果中途失败，则程序停止，只有将问题解决了，才能重新运行程序编译成功。
对于编译过程中，遇到的问题，大多都是网络的原因，还有就是镜像站的原因，我们下载不了外面的资源，只能认倒霉重新让网络找一个好的地址，这样的话，导致后果就是我们要重新编译，重新编译有时也解决不了一些问题，只有大家，慢慢的凭经验吧！
好了，现在Hadoop的编译到此结束！
ubuntu server 14.04上编译Hadoop 2.6.4下载地址