hadoop +hbase +zookeeper 完全分布搭建 (版本一)

hadoop2.0已经发布了稳定版本了，增加了很多特性，比如HDFS HA、YARN等。最新的hadoop-2.6.0又增加了YARN HA

注意：apache提供的hadoop-2.6.0的安装包是在32位操作系统编译的，因为hadoop依赖一些C++的本地库，
所以如果在64位的操作上安装hadoop-2.6.0就需要重新在64操作系统上重新编译

一.重新编译

原因是hadoop-2.6.0.tar.gz安装包是在32位机器上编译的，64位的机器加载本地库.so文件时出错，不影响使用。

解决：
1、重新编译源码后将新的lib/native替换到集群中原来的lib/native
2、修改hadoop-env.sh ，增加
export HADOOP_OPTS="-Djava.library.path=$HADOOP_PREFIX/lib:$HADOOP_PREFIX/lib/native"

需要进行编译准备工作：

0.安装JDK,使用 java -version 查看jdk版本，确定JDK版本是64位。

a. 解压jdk

$ tar -xvzf jdk-7u60-linux-x64.tar.gz

b. 设置环境变量 vim /etc/profile

export JAVA_HOME=/usr/local/jdk1.7 export HADOOP_HOME=/usr/local/hadoop-2.6.0

export MAVEN_HOME=/opt/apache-maven

export FINDBUG_HOME=/opt/findbugs-3.0.0

export ANT_HOME=/opt/apache-ant-1.9.4

export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/sbin:$HADOOP_HOME/bin

:$MAVEN_HOME/bin:$FINDBUG_HOME/bin:$ANT_HOME/bin (备注：不能换行)

c.使配置文件生效

$ source /etc/profile

1.安装gcc|gc++

yum install gcc

yum install gcc-c++

验证

2.安装Apache-Maven。

tar -zxvf apache-maven-3.2.1.tar.gz

配置环境变量 vim /etc/profile

export MAVEN_HOME=/opt/apache-maven

export PATH=.:PATH:$MAVEN_HOME/bin

验证： mvn --version

3.安装Apache-ant(重要).

tar -zxvf apache-ant-1.9.4-bin.tar.gz

配置环境变量 vim /etc/profile

export MAVEN_HOME=/opt/apache-maven

export PATH=$PATH:$MAVEN_HOME/bin

3.安装protobuf(goole序列化工具)

tar -zxvf protobuf-2.5.0.tar.gz

./configuration

make #编译

make install

验证：protoc --version

4.安装CMake2.6 or newer

安装 yum install cmake

安装 yum install openssl-devel

安装 yum install ncurses-devel

验证：cmake --version

5.安装make

yum install make

验证： make --version

6.Hadoop - hadoop-common-project中的pom.xml添加依赖（hadoop-2.2.0需要修改，hadoop2.6.0版本不需要）

<groupId>org.mortbay.jetty</groupId>

<artifactId>jetty-util</artifactId>

</dependency>

7.在编译之前防止 java.lang.OutOfMemoryError: Java heap space 堆栈问题,在centos系统中执行命令：

$ export MAVEN_OPTS="-Xms256m -Xmx512m"

8.解压压缩包

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

a.执行命令 cd ${hostname_Local}/hadoop-2.6.0/ 目录下

b.编译

mvn package -DskipTests -Pdist,native

c.编译好的项目放在 hadoop-2.6.0-src/hadoop-dist/target目录下。

/root/Downloads/hadoop-2.6.0-src/hadoop-dist/target 即 hadoop-2.6.0就是编译好的包。

=====================================================================

编译日志：

[INFO] --- maven-jar-plugin:2.3.1:jar (default-jar) @ hadoop-dist --- [WARNING] JAR will be empty - no content was marked for inclusion!

[INFO] Building jar: /root/Downloads/hadoop-2.6.0-src/hadoop-dist/target/hadoop-dist-2.6.0.jar [INFO]

[INFO] --- maven-source-plugin:2.1.2:jar-no-fork (hadoop-java-sources) @ hadoop-dist ---

[INFO] No sources in project. Archive not created. [INFO]

[INFO] --- maven-source-plugin:2.1.2:test-jar-no-fork (hadoop-java-sources) @ hadoop-dist ---

[INFO] No sources in project. Archive not created. [INFO]

[INFO] --- maven-site-plugin:3.3:attach-descriptor (attach-descriptor) @ hadoop-dist --- [INFO]

[INFO] --- maven-antrun-plugin:1.7:run (tar) @ hadoop-dist ---

[INFO] Executing tasks main: [INFO] Executed tasks [INFO]

[INFO] --- maven-javadoc-plugin:2.8.1:jar (module-javadocs) @ hadoop-dist ---

[INFO] Building jar: /root/Downloads/hadoop-2.6.0-src/hadoop-dist/target/hadoop-dist-2.6.0-javadoc.jar

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

[INFO] Reactor Summary: [INFO] [INFO] Apache Hadoop Main ................................. SUCCESS [ 13.582 s]

[INFO] Apache Hadoop Project POM .......................... SUCCESS [ 9.846 s]

[INFO] Apache Hadoop Annotations .......................... SUCCESS [ 24.408 s]

[INFO] Apache Hadoop Assemblies ........................... SUCCESS [ 1.967 s]

[INFO] Apache Hadoop Project Dist POM ..................... SUCCESS [ 6.443 s]

[INFO] Apache Hadoop Maven Plugins ........................ SUCCESS [ 20.692 s]

[INFO] Apache Hadoop MiniKDC .............................. SUCCESS [ 14.250 s]

[INFO] Apache Hadoop Auth ................................. SUCCESS [ 23.716 s]

[INFO] Apache Hadoop Auth Examples ........................ SUCCESS [ 13.714 s]

[INFO] Apache Hadoop Common ............................... SUCCESS [08:46 min]

[INFO] Apache Hadoop NFS .................................. SUCCESS [ 47.127 s]

[INFO] Apache Hadoop KMS .................................. SUCCESS [ 48.790 s]

[INFO] Apache Hadoop Common Project ....................... SUCCESS [ 0.316 s]

[INFO] Apache Hadoop HDFS ................................. SUCCESS [14:58 min]

[INFO] Apache Hadoop HttpFS ............................... SUCCESS [11:10 min]

[INFO] Apache Hadoop HDFS BookKeeper Journal .............. SUCCESS [01:43 min]

[INFO] Apache Hadoop HDFS-NFS ............................. SUCCESS [ 27.438 s]

[INFO] Apache Hadoop HDFS Project ......................... SUCCESS [ 0.146 s]

[INFO] hadoop-yarn ........................................ SUCCESS [ 0.165 s]

[INFO] hadoop-yarn-api .................................... SUCCESS [07:03 min]

[INFO] hadoop-yarn-common ................................. SUCCESS [03:31 min]

[INFO] hadoop-yarn-server ................................. SUCCESS [ 0.827 s]

[INFO] hadoop-yarn-server-common .......................... SUCCESS [01:11 min]

[INFO] hadoop-yarn-server-nodemanager ..................... SUCCESS [02:25 min]

[INFO] hadoop-yarn-server-web-proxy ....................... SUCCESS [ 17.129 s]

[INFO] hadoop-yarn-server-applicationhistoryservice ....... SUCCESS [ 39.350 s]

[INFO] hadoop-yarn-server-resourcemanager ................. SUCCESS [01:44 min]

[INFO] hadoop-yarn-server-tests ........................... SUCCESS [ 32.941 s]

[INFO] hadoop-yarn-client ................................. SUCCESS [ 44.664 s]

[INFO] hadoop-yarn-applications ........................... SUCCESS [ 0.197 s]

[INFO] hadoop-yarn-applications-distributedshell .......... SUCCESS [ 15.165 s]

[INFO] hadoop-yarn-applications-unmanaged-am-launcher ..... SUCCESS [ 9.604 s]

[INFO] hadoop-yarn-site ................................... SUCCESS [ 0.149 s]

[INFO] hadoop-yarn-registry ............................... SUCCESS [ 31.971 s]

[INFO] hadoop-yarn-project ................................ SUCCESS [ 22.195 s]

[INFO] hadoop-mapreduce-client ............................ SUCCESS [ 0.673 s]

[INFO] hadoop-mapreduce-client-core ....................... SUCCESS [02:08 min]

[INFO] hadoop-mapreduce-client-common ..................... SUCCESS [01:38 min]

[INFO] hadoop-mapreduce-client-shuffle .................... SUCCESS [ 24.796 s]

[INFO] hadoop-mapreduce-client-app ........................ SUCCESS [01:02 min]

[INFO] hadoop-mapreduce-client-hs ......................... SUCCESS [ 43.043 s]

[INFO] hadoop-mapreduce-client-jobclient .................. SUCCESS [01:09 min]

[INFO] hadoop-mapreduce-client-hs-plugins ................. SUCCESS [ 9.662 s]

[INFO] Apache Hadoop MapReduce Examples ................... SUCCESS [ 40.439 s]

[INFO] hadoop-mapreduce ................................... SUCCESS [ 13.894 s]

[INFO] Apache Hadoop MapReduce Streaming .................. SUCCESS [ 32.797 s]

[INFO] Apache Hadoop Distributed Copy ..................... SUCCESS [01:00 min]

[INFO] Apache Hadoop Archives ............................. SUCCESS [ 11.333 s]

[INFO] Apache Hadoop Rumen ................................ SUCCESS [ 35.122 s]

[INFO] Apache Hadoop Gridmix .............................. SUCCESS [ 22.939 s]

[INFO] Apache Hadoop Data Join ............................ SUCCESS [ 17.568 s]

[INFO] Apache Hadoop Ant Tasks ............................ SUCCESS [ 12.339 s]

[INFO] Apache Hadoop Extras ............................... SUCCESS [ 18.325 s]

[INFO] Apache Hadoop Pipes ................................ SUCCESS [ 27.889 s]

[INFO] Apache Hadoop OpenStack support .................... SUCCESS [ 30.148 s]

[INFO] Apache Hadoop Amazon Web Services support .......... SUCCESS [01:28 min]

[INFO] Apache Hadoop Client ............................... SUCCESS [ 25.086 s]

[INFO] Apache Hadoop Mini-Cluster ......................... SUCCESS [ 0.657 s]

[INFO] Apache Hadoop Scheduler Load Simulator ............. SUCCESS [ 25.302 s]

[INFO] Apache Hadoop Tools Dist ........................... SUCCESS [ 23.268 s]

[INFO] Apache Hadoop Tools ................................ SUCCESS [ 0.156 s]

[INFO] Apache Hadoop Distribution ......................... SUCCESS [01:06 min]

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

[INFO] BUILD SUCCESS [INFO] ------------------------------------------------------------------------

[INFO] Total time: 01:17 h [INFO] Finished at: 2014-12-29T20:45:54-08:00

[INFO] Final Memory: 94M/193M [INFO] ------------------------------------------------------------------------

[root@Master hadoop-2.6.0-src]#

二.hadoop + hbase +zookeeper 环境搭建

1.修改Linux主机名
2.修改IP
3.修改主机名和IP的映射关系
######注意######如果你们公司是租用的服务器或是使用的云主机（如华为用主机、阿里云主机等）
/etc/hosts里面要配置的是内网IP地址和主机名的映射关系
4.关闭防火墙
5.ssh免登陆
6.安装JDK，配置环境变量等

集群规划：
主机名 IP 安装的软件运行的进程

Master 192.168.1.201 jdk、hadoop NameNode、DFSZKFailoverController(zkfc)
Slave1 192.168.1.202 jdk、hadoop NameNode、DFSZKFailoverController(zkfc)
Slave2 192.168.1.203 jdk、hadoop ResourceManager
Slave3 192.168.1.204 jdk、hadoop ResourceManager
Slave4 192.168.1.205 jdk、hadoop、zookeeper DataNode、NodeManager、JournalNode、QuorumPeerMain
Slave5 192.168.1.206 jdk、hadoop、zookeeper DataNode、NodeManager、JournalNode、QuorumPeerMain
Slave6 192.168.1.207 jdk、hadoop、zookeeper DataNode、NodeManager、JournalNode、QuorumPeerMain

复制代码

说明：

1.在hadoop2.0中通常由两个NameNode组成，一个处于active状态，另一个处于standby状态。Active NameNode对外提供服务，而Standby NameNode则不对外提供服务，仅同步active namenode的状态，以便能够在它失败时快速进行切换。
hadoop2.0官方提供了两种HDFS HA的解决方案，一种是NFS，另一种是QJM。这里我们使用简单的QJM。在该方案中，主备NameNode之间通过一组JournalNode同步元数据信息，一条数据只要成功写入多数JournalNode即认为写入成功。通常配置奇数个JournalNode
这里还配置了一个zookeeper集群，用于ZKFC（DFSZKFailoverController）故障转移，当Active NameNode挂掉了，会自动切换Standby NameNode为standby状态

2.hadoop-2.2.0中依然存在一个问题，就是ResourceManager只有一个，存在单点故障，hadoop-2.4.1解决了这个问题，有两个ResourceManager，一个是Active，一个是Standby，状态由zookeeper进行协调

安装步骤：
1.安装配置zooekeeper集群（在Slave4上）
1.1解压

[root@Master local]#tar -zxvf zookeeper-3.4.6.tar.g-C /usr/local/
[root@Master local]#mv zookeeper-3.4.6/ zookeeper

复制代码

1.2修改配置

[root@Master local]#cd /usr/local/zookeeper/conf/
[root@Master local]#cp zoo_sample.cfg zoo.cfg
[root@Master local]#vim zoo.cfg

复制代码

修改：

dataDir=/itcast/zookeeper/zkData

复制代码

在最后添加：

server.1=Slave4:2888:3888
server.2=Slave5:2888:3888
server.3=Slave6:2888:3888

复制代码

保存退出
然后创建一个tmp文件夹

[root@Master local]#mkdir /usr/local/zookeeper/zkData

复制代码

再创建一个空文件

[root@Master local]#touch /usr/local/zookeeper/zkData/myid

复制代码

最后向该文件写入ID

[root@Master local]#echo 1 > /usr/local/zookeeper/zkData/myid

复制代码

1.3将配置好的zookeeper拷贝到其他节点(首先分别在Slave5、Slave6根目录：/usr/local/)

[root@Master local]#scp -r /usr/local/zookeeper/ Slave5:/usr/local/
[root@Master local]#scp -r /usr/local/zookeeper/ Slave6:/usr/local/

复制代码

注意：修改Slave5、Slave6对应/usr/local/zookeeper/zkData/myid内容

Slave5：
[root@Master local]#echo 2 > /usr/local/zookeeper/zkData/myid
Slave6：
[root@Master local]#echo 3 > /usr/local/zookeeper/zkData/myid

复制代码

2.安装配置hadoop集群（在Master上操作）
2.1解压

[root@Master local]#tar -zxvf hadoop-2.6.0.tar.gz -C /usr/local/

复制代码

2.2配置HDFS（hadoop2.0所有的配置文件都在$HADOOP_HOME/etc/hadoop目录下）
#将hadoop添加到环境变量中

[root@Master local]#vim /etc/profile
export JAVA_HOME=/usr/local/jdk1.7
export HADOOP_HOME=/usr/local/hadoop-2.6.0
export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin

复制代码

#hadoop2.0的配置文件全部在$HADOOP_HOME/etc/hadoop下

[root@Master local]#cd /usr/local/hadoop-2.6.0/etc/hadoop

复制代码

2.2.1修改hadoo-env.sh

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原文链接：https://blog.csdn.net/u013378306/article/details/51530556
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发表于 2019-08-27 16:26:58
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hadoop +hbase +zookeeper 完全分布搭建 (版本一)

一.重新编译

二.hadoop + hbase +zookeeper 环境搭建

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