hadoop2.4.0源码编译
1.前言 Hadoop-2.4.0 的源码目录下有个 BUILDING.txt 文件,它介绍了如何在 Linux 和 Windows 下编译源代码,本文基本是遵照 BUILDING.txt 指示来操作的,这里再做一下简单的提炼。 第一次编译要求能够访问互联网, Hadoop 的编译依赖非常多的东西,一定要保
1. 前言Hadoop-2.4.0的源码目录下有个BUILDING.txt文件,它介绍了如何在Linux和Windows下编译源代码,本文基本是遵照BUILDING.txt指示来操作的,这里再做一下简单的提炼。
第一次编译要求能够访问互联网,Hadoop的编译依赖非常多的东西,一定要保证机器可访问互联网,否则难逐一解决所有的编译问题,但第一次之后的编译则不用再下载了。
2. 安装依赖
在编译Hadoop 2.4.0源码之前,需要将下列几个依赖的东西安装好:
1) JDK 1.6或更新版本(本文使用JDK1.7,请不要安装JDK1.8版本,JDK1.8和Hadoop 2.4.0不匹配,编译Hadoop 2.4.0源码时会报很多错误)
2) Maven 3.0或更新版本
3) ProtocolBuffer 2.5.0
4) CMake 2.6或更新版本
5) Findbugs 1.3.9,可选的(本文编译时未安装)
在安装好之后,还需要设置一下环境变量,可以修改/etc/profile,也可以是修改~/.profile,增加如下内容:
export JAVA_HOME=/root/jdk export CLASSPATH=$JAVA_HOME/lib/tools.jar export PATH=$JAVA_HOME/bin:$PATH
export CMAKE_HOME=/root/cmake export PATH=$CMAKE_HOME/bin:$PATH
export PROTOC_HOME=/root/protobuf export PATH=$PROTOC_HOME/bin:$PATH
export MAVEN_HOME=/root/maven export PATH=$MAVEN_HOME/bin:$PATH |
本文以root用户在/root目录下进行安装,但实际可以选择非root用户及非/root目录进行安装。
2.1. 安装ProtocolBuffer
标准的automake编译安装方式:
1) cd /root
2) tar xzf protobuf-2.5.0.tar.gz
3) cd protobuf-2.5.0
4) ./conigure --prefix=/root/protobuf
5) make
6) make install
2.2. 安装CMake
1) cd /root
2) tar xzf cmake-2.8.12.2.tar.gz
3) cd cmake-2.8.12.2
4) ./bootstrap --prefix=/root/cmake
5) make
6) make install
2.3. 安装JDK
1) cd /root
2) tar xzf jdk-7u55-linux-x64.gz
3) cd jdk1.7.0_55
4) ln -s jdk1.7.0_55 jdk
2.4. 安装Maven
1) cd /root
2) tar xzf apache-maven-3.0.5-bin.tar.gz
3) ln -s apache-maven-3.0.5 maven
3. 编译Hadoop源代码
完成上述准备工作后,即可通过执行命令:mvn package -Pdist -DskipTests -Dtar,启动对Hadoop源代码的编译。请注意一定不要使用JDK1.8。
如果需要编译成本地库(Native Libraries)文件,则使用命令:mvn package -Pdist,native -DskipTests -Dtar。如果C/C++程序需要访问HDFS等,需要使用navite方式编译生成相应的库文件。也可以使用mvn package -Pnative -DskipTests -Dtar特意编译出本地库文件。
相关的编译命令还有:
1) mvn package -Pdist -DskipTests -Dtar
2) mvn package -Pdist,native,docs,src -DskipTests -Dtar
3) mvn package -Psrc -DskipTests
4) mvn package -Pdist,native,docs -DskipTests -Dtar
5) mvn clean site; mvn site:stage -DstagingDirectory=/tmp/hadoop-site
编译成功后,jar文件会放在target子目录下,可以在Hadoop源码目录下借用find命令搜索各个target子目录。
编译成功后,会生成Hadoop二进制安装包hadoop-2.4.0.tar.gz,放在源代码的hadoop-dist/target子目录下:
main:
[exec] $ tar cf hadoop-2.4.0.tar hadoop-2.4.0
[exec] $ gzip -f hadoop-2.4.0.tar
[exec]
[exec] Hadoop dist tar available at: /root/hadoop-2.4.0-src/hadoop-dist/target/hadoop-2.4.0.tar.gz
[exec]
[INFO] Executed tasks
[INFO]
[INFO] --- maven-javadoc-plugin:2.8.1:jar (module-javadocs) @ hadoop-dist ---
[INFO] Building jar: /root/hadoop-2.4.0-src/hadoop-dist/target/hadoop-dist-2.4.0-javadoc.jar
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO]
[INFO] Apache Hadoop Main ................................ SUCCESS [4.647s]
[INFO] Apache Hadoop Project POM ......................... SUCCESS [5.352s]
[INFO] Apache Hadoop Annotations ......................... SUCCESS [7.239s]
[INFO] Apache Hadoop Assemblies .......................... SUCCESS [0.424s]
[INFO] Apache Hadoop Project Dist POM .................... SUCCESS [2.918s]
[INFO] Apache Hadoop Maven Plugins ....................... SUCCESS [6.261s]
[INFO] Apache Hadoop MiniKDC ............................. SUCCESS [5.321s]
[INFO] Apache Hadoop Auth ................................ SUCCESS [5.953s]
[INFO] Apache Hadoop Auth Examples ....................... SUCCESS [3.783s]
[INFO] Apache Hadoop Common .............................. SUCCESS [1:54.010s]
[INFO] Apache Hadoop NFS ................................. SUCCESS [9.721s]
[INFO] Apache Hadoop Common Project ...................... SUCCESS [0.048s]
[INFO] Apache Hadoop HDFS ................................ SUCCESS [4:15.270s]
[INFO] Apache Hadoop HttpFS .............................. SUCCESS [6:18.553s]
[INFO] Apache Hadoop HDFS BookKeeper Journal ............. SUCCESS [16.237s]
[INFO] Apache Hadoop HDFS-NFS ............................ SUCCESS [6.543s]
[INFO] Apache Hadoop HDFS Project ........................ SUCCESS [0.036s]
[INFO] hadoop-yarn ....................................... SUCCESS [0.051s]
[INFO] hadoop-yarn-api ................................... SUCCESS [1:35.227s]
[INFO] hadoop-yarn-common ................................ SUCCESS [43.216s]
[INFO] hadoop-yarn-server ................................ SUCCESS [0.055s]
[INFO] hadoop-yarn-server-common ......................... SUCCESS [16.476s]
[INFO] hadoop-yarn-server-nodemanager .................... SUCCESS [19.942s]
[INFO] hadoop-yarn-server-web-proxy ...................... SUCCESS [4.926s]
[INFO] hadoop-yarn-server-applicationhistoryservice ...... SUCCESS [9.804s]
[INFO] hadoop-yarn-server-resourcemanager ................ SUCCESS [23.320s]
[INFO] hadoop-yarn-server-tests .......................... SUCCESS [1.208s]
[INFO] hadoop-yarn-client ................................ SUCCESS [9.177s]
[INFO] hadoop-yarn-applications .......................... SUCCESS [0.113s]
[INFO] hadoop-yarn-applications-distributedshell ......... SUCCESS [4.106s]
[INFO] hadoop-yarn-applications-unmanaged-am-launcher .... SUCCESS [3.265s]
[INFO] hadoop-yarn-site .................................. SUCCESS [0.056s]
[INFO] hadoop-yarn-project ............................... SUCCESS [5.552s]
[INFO] hadoop-mapreduce-client ........................... SUCCESS [0.096s]
[INFO] hadoop-mapreduce-client-core ...................... SUCCESS [37.231s]
[INFO] hadoop-mapreduce-client-common .................... SUCCESS [27.135s]
[INFO] hadoop-mapreduce-client-shuffle ................... SUCCESS [4.886s]
[INFO] hadoop-mapreduce-client-app ....................... SUCCESS [17.876s]
[INFO] hadoop-mapreduce-client-hs ........................ SUCCESS [14.140s]
[INFO] hadoop-mapreduce-client-jobclient ................. SUCCESS [11.305s]
[INFO] hadoop-mapreduce-client-hs-plugins ................ SUCCESS [3.083s]
[INFO] Apache Hadoop MapReduce Examples .................. SUCCESS [9.855s]
[INFO] hadoop-mapreduce .................................. SUCCESS [5.110s]
[INFO] Apache Hadoop MapReduce Streaming ................. SUCCESS [7.778s]
[INFO] Apache Hadoop Distributed Copy .................... SUCCESS [12.973s]
[INFO] Apache Hadoop Archives ............................ SUCCESS [3.265s]
[INFO] Apache Hadoop Rumen ............................... SUCCESS [11.060s]
[INFO] Apache Hadoop Gridmix ............................. SUCCESS [7.412s]
[INFO] Apache Hadoop Data Join ........................... SUCCESS [4.221s]
[INFO] Apache Hadoop Extras .............................. SUCCESS [4.771s]
[INFO] Apache Hadoop Pipes ............................... SUCCESS [0.032s]
[INFO] Apache Hadoop OpenStack support ................... SUCCESS [8.030s]
[INFO] Apache Hadoop Client .............................. SUCCESS [7.730s]
[INFO] Apache Hadoop Mini-Cluster ........................ SUCCESS [0.158s]
[INFO] Apache Hadoop Scheduler Load Simulator ............ SUCCESS [7.485s]
[INFO] Apache Hadoop Tools Dist .......................... SUCCESS [6.912s]
[INFO] Apache Hadoop Tools ............................... SUCCESS [0.029s]
[INFO] Apache Hadoop Distribution ........................ SUCCESS [40.425s]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 21:57.892s
[INFO] Finished at: Mon Apr 21 14:33:22 CST 2014
[INFO] Final Memory: 88M/243M
[INFO] ------------------------------------------------------------------------推荐阅读
-
spring源码分析系列5:ApplicationContext的初始化与Bean生命周期
-
spring源码分析6: ApplicationContext的初始化与BeanDefinition的搜集入库
-
vue从使用到源码实现教程详解
-
Java并发系列之Semaphore源码分析
-
Java并发系列之CyclicBarrier源码分析
-
Java并发之ReentrantLock类源码解析
-
Java实现淘宝秒杀聚划算抢购自动提醒源码
-
Java并发系列之ConcurrentHashMap源码分析
-
Java并发系列之CountDownLatch源码分析
-
Flink中watermark为什么选择最小一条(源码分析)