hadoop之hadoop-2.6.0-cdh5.7.0源码编译支持压缩以及伪分布式部署

其他 2019-04-14 14:51:03 阅读次数: 0

摘要：本文详细记载hadoop-2.6.0-cdh5.7.0源码编译支持压缩以及伪分布式部署的详细步骤，可用于学习以及生产参考

1.需求与设计

1.1需求

直接使用的hadoop-2.6.0-cdh5.7.0.tar.gz包部署的hadoop集群不支持文件压缩，生产上是不可接受的，故需要将hadoop源码下载重新编译支持压缩

1.1概要设计

下载hadoop源码，使用maven编译，使其支持压缩。并成功进行伪分布式集群部署验证压缩功能。

2.环境需求以及部署规划

2.1 硬件环境

一台centos6.X虚拟机

2.2 软件环境：

组件名称 组件版本 百度网盘链接
vm vm10 链接：https://pan.baidu.com/s/1N5i8p8htXz9H_v__YNV1lA 提取码：yasn
centos centos6.7 链接：https://pan.baidu.com/s/1Z_6AcQ_WnvKz1ga_VCSI9Q 提取码：a24x
Hadoop Hadoop-2.6.0-cdh5.7.0-src.tar.gz 链接：https://pan.baidu.com/s/1uRMGIhLSL9QHT-Ee4F16jw 提取码：jb1d
jdk jdk-7u80-linux-x64.tar.gz 链接：https://pan.baidu.com/s/1xSCQ8rjABVI-zDFQS5nCPA 提取码：lfze
maven apache-maven-3.3.9-bin.tar.gz 链接：https://pan.baidu.com/s/1ddkdkLW7r7ahFZmgACGkVw 提取码：fdfz
protobuf protobuf-2.5.0.tar.gz 链接：https://pan.baidu.com/s/1RSNZGd_ThwknMB3vDkEfhQ 提取码：hvc2

注意:
1、编译的JDK版本必须是1.7，1.8的JDK会导致编译失败,采坑

3.安装centos

请参考VM虚拟机安装Centos6.X以及主机和网络配置

4.编译hadoop

4.1安装必要的依赖库

[root@hadoop001 ~]# yum install -y svn ncurses-devel
[root@hadoop001 ~]# yum install -y gcc gcc-c++ make cmake
[root@hadoop001 ~]# yum install -y openssl openssl-devel svn ncurses-devel zlib-devel libtool
[root@hadoop001 ~]# yum install -y snappy snappy-devel bzip2 bzip2-devel lzo lzo-devel lzop autoconf automake cmake

4.2添加用户以及上传软件

[root@hadoop001 ~]# yum install -y lrzsz
[root@hadoop001 ~]# useradd hadoop
[root@hadoop001 ~]# su - hadoop
[hadoop@hadoop001 ~]$ mkdir app soft source lib data maven_repo shell mysql
[hadoop@hadoop001 ~]$ cd soft/
[hadoop@hadoop001 soft]$ rz

[hadoop@hadoop001 soft]$ ll
total 202192
-rw-r--r--. 1 hadoop hadoop   8491533 Apr  7 11:25 apache-maven-3.3.9-bin.tar.gz
-rw-r--r--. 1 hadoop hadoop  42610549 Apr  6 16:55 hadoop-2.6.0-cdh5.7.0-src.tar.gz
-rw-r--r--. 1 hadoop hadoop 153530841 Apr  7 11:12 jdk-7u80-linux-x64.tar.gz
-rw-r--r--. 1 hadoop hadoop   2401901 Apr  7 11:31 protobuf-2.5.0.tar.gz

4.3安装JDK

  • 解压安装包，安装目录必须是/usr/java,安装后记得修改拥有者为root
[hadoop@hadoop001 soft]$ exit
[root@hadoop001 ~]# mkdir /usr/java
[root@hadoop001 ~]# tar -zxvf /home/hadoop/soft/jdk-7u80-linux-x64.tar.gz -C /usr/java
[root@hadoop001 ~]# cd /usr/java/
[root@hadoop001 java]# chown -R  root:root jdk1.7.0_80
  • 添加环境变量
[root@hadoop001 jdk1.7.0_80]# vim /etc/profile 
#添加如下两行环境变量
export JAVA_HOME=/usr/java/jdk1.7.0_80
export PATH=$JAVA_HOME/bin:$PATH
[root@hadoop001 jdk1.7.0_80]# source /etc/profile
#测试java是否安装成功
[root@hadoop001 jdk1.7.0_80]# java -version
java version "1.7.0_80"
Java(TM) SE Runtime Environment (build 1.7.0_80-b15)
Java HotSpot(TM) 64-Bit Server VM (build 24.80-b11, mixed mode)

4.4安装maven

  • 解压
[root@hadoop001 ~]# su - hadoop
[hadoop@hadoop001 ~]$ tar -zxvf ~/soft/apache-maven-3.3.9-bin.tar.gz -C ~/app/
  • 添加环境变量
#修改haoop用户的环境变量
[hadoop@hadoop001 ~]$ vim ~/.bash_profile
#添加或修改如下内容，注意MAVEN_OPTS设置了maven运行的内存，防止内存太小导致编译失败
export MAVEN_HOME=/home/hadoop/app/apache-maven-3.3.9
export MAVEN_OPTS="-Xms1024m -Xmx1024m"
export PATH=$MAVEN_HOME/bin:$PATH
[hadoop@hadoop001 ~]$ source ~/.bash_profile
[hadoop@hadoop001 ~]$ which mvn
~/app/apache-maven-3.3.9/bin/mvn
  • 配置maven
[hadoop@hadoop001 protobuf-2.5.0]$ vim ~/app/apache-maven-3.3.9/conf/settings.xml
#配置maven的本地仓库位置
<localRepository>/home/hadoop/maven_repo/repo</localRepository>
#添加阿里云中央仓库地址，注意一定要写在<mirrors></mirrors>之间
<mirror>
     <id>nexus-aliyun</id>
     <mirrorOf>central</mirrorOf>
     <name>Nexus aliyun</name>
     <url>http://maven.aliyun.com/nexus/content/groups/public</url>
</mirror>
  • （可选）添加jars到本地仓库，网络慢可能导致mvn第一次编译时下载需要超长的时间甚至编译失败
#jar包链接
链接：https://pan.baidu.com/s/1vq4iVFqqyJNkYzg90bVrfg 
提取码：vugv 
复制这段内容后打开百度网盘手机App，操作更方便哦
#下载后 rz上传解压，注意目录层次
[hadoop@hadoop001 maven_repo]$ rz
[hadoop@hadoop001 maven_repo]$ tar -zxvf repo.tar.gz

4.5安装protobuf

  • 解压
[hadoop@hadoop001 ~]$ tar -zxvf ~/soft/protobuf-2.5.0.tar.gz -C ~/app/
  • 编译软件
[hadoop@hadoop001 protobuf-2.5.0]$ cd ~/app/protobuf-2.5.0/
#  --prefix= 是用来待会编译好的包放在为路径
[hadoop@hadoop001 protobuf-2.5.0]$ ./configure  --prefix=/home/hadoop/app/protobuf-2.5.0
#编译以及安装
[hadoop@hadoop001 protobuf-2.5.0]$ make
[hadoop@hadoop001 protobuf-2.5.0]$ make install
  • 添加环境变量
[hadoop@hadoop001 protobuf-2.5.0]$ vim ~/.bash_profile
#追加如下两行内容，未编译前是没有bin目录的
export PROTOBUF_HOME=/home/hadoop/app/protobuf-2.5.0
export PATH=$PROTOBUF_HOME/bin:$PATH
[hadoop@hadoop001 protobuf-2.5.0]$ source ~/.bash_profile 
#测试是否生效，若出现libprotoc 2.5.0则为生效
[hadoop@hadoop001 protobuf-2.5.0]$ protoc --version
libprotoc 2.5.0

4.6编译hadoop

  • 解压
[hadoop@hadoop001 protobuf-2.5.0]$ tar -zxvf ~/soft/hadoop-2.6.0-cdh5.7.0-src.tar.gz -C ~/source/
  • 编译hadoop使其支持压缩：mvn clean package -Pdist,native -DskipTests -Dtar
#进入hadoop的源码目录
[hadoop@hadoop001 hadoop-2.6.0-cdh5.7.0]$ cd ~/source/hadoop-2.6.0-cdh5.7.0/
#进行编译，第一次编译会下载很多依赖的jar包，快慢由网速决定，需耐心等待，本人亲测耗时
[hadoop@hadoop001 hadoop-2.6.0-cdh5.7.0]$ mvn clean package -Pdist,native -DskipTests -Dtar
  • 若报异常，主要信息如下（无异常跳过）：
[FATAL] Non-resolvable parent POM for org.apache.hadoop:hadoop-main:2.6.0-cdh5.7.0: Could not transfer artifact com.cloudera.cdh:cdh-root:pom:5.7.0 from/to cdh.repo (https://repository.cloudera.com/artifactory/cloudera-repos): Remote host closed connectio
#分析：是https://repository.cloudera.com/artifactory/cloudera-repos/com/cloudera/cdh/cdh-root/5.7.0/cdh-root-5.7.0.pom文件下载不了，但是虚拟机确实是ping通远程的仓库，很是费解为什么。
#解决方案：前往本地仓库到目标文件目录，然后 通过wget 文件，来成功获取该文件，重新执行编译命令，或者执行4.5的可选步骤，将需要的jar直接放到本地仓库
  • 查看编译后的包：hadoop-2.6.0-cdh5.7.0.tar.gz
#有 BUILD SUCCESS 信息则表示编译成功
[INFO] Apache Hadoop Scheduler Load Simulator ............. SUCCESS [ 13.592 s]
[INFO] Apache Hadoop Tools Dist ........................... SUCCESS [ 12.042 s]
[INFO] Apache Hadoop Tools ................................ SUCCESS [  0.094 s]
[INFO] Apache Hadoop Distribution ......................... SUCCESS [01:49 min]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 37:39 min
[INFO] Finished at: 2019-04-07T16:48:42+08:00
[INFO] Final Memory: 200M/989M
[INFO] ------------------------------------------------------------------------
[hadoop@hadoop001 hadoop-2.6.0-cdh5.7.0]$ 
[hadoop@hadoop001 hadoop-2.6.0-cdh5.7.0]$ 
[hadoop@hadoop001 hadoop-2.6.0-cdh5.7.0]$ 
[hadoop@hadoop001 hadoop-2.6.0-cdh5.7.0]$ 
[hadoop@hadoop001 hadoop-2.6.0-cdh5.7.0]$ ll /home/hadoop/source/hadoop-2.6.0-cdh5.7.0/hadoop-dist/target/
total 564036
drwxrwxr-x. 2 hadoop hadoop      4096 Apr  7 16:46 antrun
drwxrwxr-x. 3 hadoop hadoop      4096 Apr  7 16:46 classes
-rw-rw-r--. 1 hadoop hadoop      1998 Apr  7 16:46 dist-layout-stitching.sh
-rw-rw-r--. 1 hadoop hadoop       690 Apr  7 16:47 dist-tar-stitching.sh
drwxrwxr-x. 9 hadoop hadoop      4096 Apr  7 16:47 hadoop-2.6.0-cdh5.7.0
-rw-rw-r--. 1 hadoop hadoop 191880143 Apr  7 16:47 hadoop-2.6.0-cdh5.7.0.tar.gz
-rw-rw-r--. 1 hadoop hadoop      7314 Apr  7 16:47 hadoop-dist-2.6.0-cdh5.7.0.jar
-rw-rw-r--. 1 hadoop hadoop 385618309 Apr  7 16:48 hadoop-dist-2.6.0-cdh5.7.0-javadoc.jar
-rw-rw-r--. 1 hadoop hadoop      4855 Apr  7 16:47 hadoop-dist-2.6.0-cdh5.7.0-sources.jar
-rw-rw-r--. 1 hadoop hadoop      4855 Apr  7 16:47 hadoop-dist-2.6.0-cdh5.7.0-test-sources.jar
drwxrwxr-x. 2 hadoop hadoop      4096 Apr  7 16:47 javadoc-bundle-options
drwxrwxr-x. 2 hadoop hadoop      4096 Apr  7 16:47 maven-archiver
drwxrwxr-x. 3 hadoop hadoop      4096 Apr  7 16:46 maven-shared-archive-resources
drwxrwxr-x. 3 hadoop hadoop      4096 Apr  7 16:46 test-classes
drwxrwxr-x. 2 hadoop hadoop      4096 Apr  7 16:46 test-dir

5.伪分布式部署

5.1解压安装包

[hadoop@hadoop001 hadoop-2.6.0-cdh5.7.0]$ cp /home/hadoop/source/hadoop-2.6.0-cdh5.7.0/hadoop-dist/target/hadoop-2.6.0-cdh5.7.0.tar.gz /home/hadoop/soft/
[hadoop@hadoop001 ~]$ cd ~
[hadoop@hadoop001 ~]$ tar -zxvf ~/soft/hadoop-2.6.0-cdh5.7.0.tar.gz -C ~/app/

5.2配置环境变量

[hadoop@hadoop001 ~]$ vim ~/.bash_profile 
export HADOOP_HOME=/home/hadoop/app/hadoop-2.6.0-cdh5.7.0
export PATH=$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH
[hadoop@hadoop001 ~]$ source ~/.bash_profile 
[hadoop@hadoop001 ~]$ which hadoop
~/app/hadoop-2.6.0-cdh5.7.0/bin/hadoop

5.3配置ssh

[hadoop@hadoop001 ~]$ rm -rf ~/.ssh
[hadoop@hadoop001 ~]$ ssh-keygen 
[hadoop@hadoop001 ~]$ cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
[hadoop@hadoop001 ~]$ chmod 600 ~/.ssh/authorized_keys
#测试ssh是否成功，用户第一ssh会提示输入是否连接，yes。成功显示时间
[hadoop@hadoop001 ~]$ ssh hadoop001 date

5.4修改配置文件

  • 编辑hadoop-env.sh文件相关配置
[hadoop@hadoop001 ~]$ vim ~/app/hadoop-2.6.0-cdh5.7.0/etc/hadoop/hadoop-env.sh 
#将JDK的安装目录修改为绝对路径
export JAVA_HOME=/usr/java/jdk1.7.0_80
  • 编辑core-site.xml文件相关配置
[hadoop@hadoop001 ~]$ vim ~/app/hadoop-2.6.0-cdh5.7.0/etc/hadoop/core-site.xml 
#添加如下配置
<property>
  <name>fs.defaultFS</name>
  <value>hdfs://hadoop001:9000</value>
</property>
  • 编辑hdfs-site.xml文件相关配置
[hadoop@hadoop001 ~]$ vim ~/app/hadoop-2.6.0-cdh5.7.0/etc/hadoop/hdfs-site.xml 
#添加如下配置
<property>
  <name>dfs.replication</name>
  <value>1</value>
</property>
<property>
  <name>dfs.namenode.secondary.http-address</name>
  <value>hadoop001:50090</value>
</property>
<property>
    <name>dfs.namenode.secondary.https-address</name>
    <value>hadoop001:50091</value>
</property>
  • 添加slaves节点
[hadoop@hadoop001 ~]$ vim ~/app/hadoop-2.6.0-cdh5.7.0/etc/hadoop/slaves
#添加一行内容如下
hadoop001
  • 编辑yarn-site.xml文件相关配置
[hadoop@hadoop001 ~]$ vim ~/app/hadoop-2.6.0-cdh5.7.0/etc/hadoop/yarn-site.xml 
#添加如下配置
<property>
    <name>yarn.nodemanager.aux-services</name>
    <value>mapreduce_shuffle</value>
</property>
  • 编辑yarn-site.xml文件相关配置
[hadoop@hadoop001 ~]$ cp ~/app/hadoop-2.6.0-cdh5.7.0/etc/hadoop/mapred-site.xml.template  ~/app/hadoop-2.6.0-cdh5.7.0/etc/hadoop/mapred-site.xml
[hadoop@hadoop001 ~]$ vim ~/app/hadoop-2.6.0-cdh5.7.0/etc/hadoop/mapred-site.xml
#添加如下配置
<property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
</property>

5.5格式化namenode

[hadoop@hadoop001 ~]$ hdfs namenode -format

#若出现 has been successfully formatted 则表示格式化成功
19/04/07 17:42:31 INFO namenode.FSImage: Allocated new BlockPoolId: BP-565897555-192.168.175.135-1554630151139
19/04/07 17:42:31 INFO common.Storage: Storage directory /tmp/hadoop-hadoop/dfs/name has been successfully formatted.
19/04/07 17:42:32 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
19/04/07 17:42:32 INFO util.ExitUtil: Exiting with status 0
19/04/07 17:42:32 INFO namenode.NameNode: SHUTDOWN_MSG: 
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at hadoop001/192.168.175.135
************************************************************/

5.6启动hadoop

[hadoop@hadoop001 ~]$ start-all.sh 
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
Starting namenodes on [hadoop001]
hadoop001: starting namenode, logging to /home/hadoop/app/hadoop-2.6.0-cdh5.7.0/logs/hadoop-hadoop-namenode-hadoop001.out
hadoop001: starting datanode, logging to /home/hadoop/app/hadoop-2.6.0-cdh5.7.0/logs/hadoop-hadoop-datanode-hadoop001.out
Starting secondary namenodes [hadoop001]
hadoop001: starting secondarynamenode, logging to /home/hadoop/app/hadoop-2.6.0-cdh5.7.0/logs/hadoop-hadoop-secondarynamenode-hadoop001.out
starting yarn daemons
starting resourcemanager, logging to /home/hadoop/app/hadoop-2.6.0-cdh5.7.0/logs/yarn-hadoop-resourcemanager-hadoop001.out
hadoop001: starting nodemanager, logging to /home/hadoop/app/hadoop-2.6.0-cdh5.7.0/logs/yarn-hadoop-nodemanager-hadoop001.out

#查询出五个守护进程
[hadoop@hadoop001 ~]$ jps
56598 SecondaryNameNode
56933 Jps
56896 NodeManager
56801 ResourceManager
56470 DataNode
56376 NameNode

###6.验证hadoop

6.1 hdfs验证

[hadoop@hadoop001 ~]$ hdfs dfs -put ~/app/hadoop-2.6.0-cdh5.7.0/README.txt hdfs://hadoop001:9000/
[hadoop@hadoop001 ~]$ hdfs dfs -ls /
Found 1 items
-rw-r--r--   1 hadoop supergroup       1366 2019-04-07 17:52 /README.txt

6.2yarn验证

#执行MR用列代码
[hadoop@hadoop001 ~]$ hadoop jar  /home/hadoop/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0-cdh5.7.0.jar  pi 4 10

6.2检测压缩格式

#true表示支持的意思
[hadoop@hadoop001 ~]$ hadoop checknative
19/04/07 17:50:08 INFO bzip2.Bzip2Factory: Successfully loaded & initialized native-bzip2 library system-native
19/04/07 17:50:08 INFO zlib.ZlibFactory: Successfully loaded & initialized native-zlib library
Native library checking:
hadoop:  true /home/hadoop/app/hadoop-2.6.0-cdh5.7.0/lib/native/libhadoop.so.1.0.0
zlib:    true /lib64/libz.so.1
snappy:  true /usr/lib64/libsnappy.so.1
lz4:     true revision:99
bzip2:   true /lib64/libbz2.so.1
openssl: true /usr/lib64/libcrypto.so

扩展1：protobuf是什么？

protobuf它是一种轻便高效的数据格式，类似于Json，平台无关、语言无关、可扩展，可用于通讯协议和数据存储等领域。
优点：
平台无关，语言无关，可扩展；
提供了友好的动态库，使用简单；
解析速度快，比对应的XML快约20-100倍；
序列化数据非常简洁、紧凑，与XML相比，其序列化之后的数据量约为1/3到1/10。

扩展2：mvn命令也是可以进行debug的，mvn -X 命令

猜你喜欢

转载自blog.csdn.net/qq_32641659/article/details/89074365
今日推荐
火速冲上 GitHub 热榜 —— 开源编程语言、框架哪有这么可爱？
北京人形机器人创新中心发布全球首个纯电驱拟人奔跑的全尺寸人形机器人“天工”
LFOSSA 源来如此公开课 | 掌握云原生未来：CNCF 认证全面攻略与备考秘籍
国产云输入法——仅华为无云端数据上传安全问题
开源日报 | 工业开源项目OGG 1.0；姐姐，你要和我一起配置火狐吗；苹果AI遥遥落后？Fedora 40
开放签电子签章：停止新增，优化体验，前进更进（五一假期前工作）
开源日报 | 中学生开源前端动画引擎；全球首个Llama3 8B中文版开源模型；联想电脑恐出局；Linus讽刺AI炒作
周排行
浏览器对同一域名进行请求的最大并发连接数
React Hook之自定义Hook
【转】MyBatis缓存机制
-Java-泛型
自动化测试常用脚本-发送邮件
LeetCode#859: Buddy Strings
java、Python处理字符串
第二篇の博客
Hadoop伪分布式环境安装
SQL Server进阶（十一）临时表、表变量
每日归档
更多
2024-04-27(56)
2024-04-26(39)
2024-04-25(22)
2024-04-24(36)
2024-04-23(26)
2024-04-22(39)
2024-04-21(0)
2024-04-20(6)
2024-04-19(5)
2024-04-18(0)

代码天地 © 2018 codetd.com

境外服务器   最新电视剧2022