hadoop_hadoop-2.6.0-cdh5.7.0源码编译支持压缩以及伪分布式部署
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。
|组件名称|组件版本 |百度网盘链接
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：
| 组件版本 | 百度网盘链接 |
|---|---|
| Hadoop-2.6.0-cdh5.7.0-src.tar.gz | 链接：https://pan.baidu.com/s/1uRMGIhLSL9QHT-Ee4F16jw 提取码：jb1d |
| jdk-7u80-linux-x64.tar.gz | 链接：https://pan.baidu.com/s/1xSCQ8rjABVI-zDFQS5nCPA 提取码：lfze |
| apache-maven-3.3.9-bin.tar.gz | 链接：https://pan.baidu.com/s/1ddkdkLW7r7ahFZmgACGkVw 提取码：fdfz |
| 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，注意注释符号/home/hadoop/maven_repo/repo #添加阿里云中央仓库地址，注意一定要写在之间，注意注释符号 nexus-aliyun central Nexus aliyun http://maven.aliyun.com/nexus/content/groups/public
（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/software/
[hadoop@hadoop001 ~]$ cd ~
[hadoop@hadop001 ~]$ tar -xzvf ~/software/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 然后按三下回车
[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 #修改hadoop的进程pid的存放目录，如果不修改，默认实在/tmp目下 export HADOOP_PID_DIR=/home/hadoop/data/tmp [hadoop@hadop001 ~]$ mkdir data/tmp -
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fs.defaultFS hdfs://hadoop001:9000 hadoop.tmp.dir /home/hadoop/data/tmp/hadoop-${user.name} -
编辑hdfs-site.xml文件相关配置
[hadoop@hadoop001 ~]$ vim ~/app/hadoop-2.6.0-cdh5.7.0/etc/hadoop/hdfs-site.xml #添加如下配置dfs.replication 1 dfs.namenode.secondary.http-address hadoop001:50090 dfs.namenode.secondary.https-address hadoop001:50091 -
修改datanode的访问主机
[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mapred-site.xml文件相关配置
[hadoop@hadop001 ~]$ 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@hadop001 ~]$ vim ~/app/hadoop-2.6.0-cdh5.7.0/etc/hadoop/mapred-site.xml #添加如下配置mapreduce.framework.name yarn -
编辑yarn-site.xml文件相关配置
[hadoop@hadop001 ~]$ vim ~/app/hadoop-2.6.0-cdh5.7.0/etc/hadoop/yarn-site.xml #添加如下配置yarn.nodemanager.aux-services mapreduce_shuffle yarn.resourcemanager.webapp.address 0.0.0.0:8098
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 dfs]$ jps
2176 NameNode
2694 NodeManager
2391 SecondaryNameNode
2264 DataNode
2601 ResourceManager
3147 Jps
[hadoop@hadoop001 dfs]$
6.验证hadoop
6.1 hdfs验证
访问：http://192.168.137.20:50070
6.2yarn验证
访问：http://192.168.137.20:8098
6.3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。