hadoop+hbase完全分布式环境搭建

1、环境准备

linux系统：Centos6.4 release (Final) 下载地址：http://www.centos.org/



jdk：1.7.0_45 下载地址：http://www.oracle.com/technetwork/java/javase/downloads/index.html



hadoop：hadoop-2.6.0 下载地址：http://apache.claz.org/hadoop/common/stable2/

hbase：hbase-0.98.8-hadoop2 下载地址：http://mirrors.gigenet.com/apache/hbase/stable/

2、配置步骤：

2.1 安装jdk，别忘了修改 vim /etc/profile。

2.2 ssh免密码登陆

说明：由于jdk的环境配置以及ssh面密码登陆一般不出什么问题，网上资料较多，故在此不做赘述

2.3 hadoop环境配置

本机分布式服务器
ip30：lingcloud30 （由于本台服务器配置相对较低，故用其作为NameNode，也是SecondaryNameNode。也是下面Hbase配置的HMaster）



ip29：lingcloud29 （本台以及下面的两台作为DateNode。以及下面Hbase配置的HRegionServer）



ip31：lingcloud31

ip32：lingcloud32

2.3.1 {hadoop}/etc/hadoop/core-site.xml配置

下面是我的lingcloud30的配置，有的有注释
4000
，方便理解
<code=xml>

<pre name="code" class="html"><configuration>
<!--     this file must be the same with the  $hbase$/conf/ "hbase.rootdir" property   -->
<property>
<name>fs.defaultFS</name>
<value>hdfs://lingcloud30:9000</value>
</property>
<!--     if the HMaster start servel seconds and then HMaster server abort ,you should remove the file hadooptmp and restart the hbase     -->
<property>
<name>hadoop.tmp.dir</name>
<value>/usr/qhl/hadoopWorkspace/hadooptmp</value>
</property>
<property>
<name>io.file.buffer.size</name>
<value>131072</value>
</property>
<!--添加 httpfs 的 选项-->
<property>
<name>hadoop.proxyuser.root.hosts</name>
<value>lingcloud30</value>
</property>
<property>
<name>hadoop.proxyuser.root.groups</name>
<value>*</value>
</property>
</configuration>

</code>

2.3.2 {hadoop}/etc/hadoop/hdfs-site.xml配置

<code=xml>

<pre name="code" class="html"><configuration>
<property>
<name>dfs.datanode.handler.count</name>
<value>5</value>
<description>The number of server threads for the datanode.</description>
</property>
<property>
<name>dfs.namenode.handler.count</name>
<value>5</value>
<description>The number of server threads for the namenode.</description>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/usr/qhl/hadoopWorkspace/hdfs/name</value>
<final>true</final>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
<property>
<name>dfs.federation.nameservice.id</name>
<value>ns1</value>
</property>
<property>
<name>dfs.namenode.backup.address.ns1</name>
<value>lingcloud30:50100</value>
</property>
<property>
<name>dfs.namenode.backup.http-address.ns1</name>
<value>lingcloud30:50105</value>
</property>
<property>
<name>dfs.federation.nameservices</name>
<value>ns1</value>
</property>
<property>
<name>dfs.namenode.rpc-address.ns1</name>
<value>lingcloud30:9000</value>
</property>
<property>
<name>dfs.namenode.rpc-address.ns2</name>
<value>lingcloud30:9000</value>
</property>
<property>
<name>dfs.namenode.http-address.ns1</name>
<value>lingcloud30:23001</value>         <!--  this is the web browsre  port if you browsre http://lingcloud30:23001 . you'll see some information		-->
</property>
<property>
<name>dfs.namenode.http-address.ns2</name>
<value>lingcloud30:13001</value>
</property>
<property>
<name>dfs.dataname.data.dir</name>
<value>file:/usr/qhl/hadoopWorkspace/hdfs/data</value>
<final>true</final>
</property>
<property>
<name>dfs.namenode.secondary.http-address.ns1</name>
<value>lingcloud30:23002</value>
</property>
<property>
<name>dfs.namenode.secondary.http-address.ns2</name>
<value>lingcloud30:23002</value>
</property>
<property>
<name>dfs.namenode.secondary.http-address.ns1</name>
<value>lingcloud30:23003</value>
</property>
<property>
<name>dfs.namenode.secondary.http-address.ns2</name>
<value>lingcloud30:23003</value>
</property>
<property>
<name>dfs.datanode.max.xcievers</name>
<value>8192</value>
</property>
</configuration>

</code>

2.3.3 {hadoop}/etc/hadoop/yarn-site.xml配置

<code=xml>

<configuration>
<property>
<name>yarn.resourcemanager.address</name>
<value>lingcloud30:18040</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>lingcloud30:18030</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address</name>
<value>lingcloud30:18088</value>  <!--  this is the web browsre  port, if you browsre http://lingcloud30:18088, you'll see some information		-->
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>lingcloud30:18025</value>
</property>
<property>
<name>yarn.resourcemanager.admin.address</name>
<value>lingcloud30:18141</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce.shuffle</value>
</property>
</configuration>

</code>

2.3.4 {hadoop}/etc/hadoop/mapred-env.sh配置

添加 

<code=xml>

export HADOOP_MAPRED_PID_DIR=/usr/qhl/hadoopWorkspace/haddopMapredPidDir # The pid files are stored. /tmp by default.

</code>

2.3.5 {hadoop}/etc/hadoop/slaves配置

<code=xml>

lingcloud32
lingcloud31
lingcloud29

</code>

2.3.6 小结

以上配置复制到其他node节点，按照相同配置即可。

3.hbase配置

3.1  habs-env.sh环境配置

<code=xml>

export JAVA_HOME=/usr/lib/jdk/jdk1.7.0_45/  #你的jdk安装目录
export HBASE_PID_DIR=/usr/qhl/hbaseWorkspace/pids # The directory where pid files are stored. /tmp by default.
export HBASE_MANAGES_ZK=true   #使用hhase自带的zookeeper

</code>

3.2  hbase-site.xml配置

<code=xml>

<configuration>
<property>
<name>hbase.rootdir</name>
<value>hdfs://lingcloud30:9000/hbase</value>
<!--
this must be ths same with the {hadoop}/etc/hadoop:core-site.xml
<property>
<name>fs.defaultFS</name>
<value>hdfs://lingcloud30:9000</value>
</property>
-->
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/usr/qhl/zookeeper</value>
</property>
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
<description>which directs HBase to run in distributed mode, with one JVM instance per daemon.</description>
</property>
<property>
<name>hbase.tmp.dir</name>
<value>/usr/qhl/hbaseWorkspace/hbasetmp</value>
<!--     if the HMaster start servel seconds and then HMaster server abort ,you should remove the file hadooptmp and restart the hbase     -->
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>lingcloud29,lingcloud31,lingcloud32</value>
</property>
<property>
<name>hbase.master</name>
<value>lingcloud30:60000</value>
</property>
<property>
<name>hbase.master.port</name>
<value>60000</value>
<description>The port master should bind to.</description>
</property>
<property>
<name>hbase.master.maxclockskew</name>
<value>200000</value>
<description>Time difference of regionserver from master</description>
</property>
</configuration>

</code>

3.3 regionserver 配置

<code=xml>

lingcloud29
lingcloud31
lingcloud32

</code>

4.配置成功后浏览器截图

我在{hadoop}etc/hadoop下的hdfs-site.xml中配置了端口为23001.           配置项是dfs.namenode.http-address.ns1



访问18088端口会出现如下界面：



hbase默认端口为60010

5.总结和参考文献

本人必须承认，很多东西都是从网上学到的，参考了很多的博文，也遇到了很多的错误，但是由于日志中间没有保存，错误就不贴了。同时由于参考了很多的博文，在此也不能一一列举了，本篇博文是我的第一篇，有什么不对之处，还请批评指正，共同学习。

下面是参考文献：
1.hadoop的API，个人感觉资料还不错：http://hadoop.apache.org/docs/current/api/overview-summary.html#overview_description
2.hbase官方配置。  http://hbase.apache.org/book/configuration.html 3. hadoop官方配置。 http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.html 4.参考博文。http://www.cnblogs.com/scotoma/archive/2012/09/18/2689902.html
5.参考博文。 http://www.cnblogs.com/ringwang/p/3623149.html 6.参考博文。http://www.linuxidc.com/Linux/2012-12/76947p6.htm
7.参考博文。http://dongxicheng.org/mapreduce-nextgen/apache-hadoop-2-0-alpha/
8.参考博文。http://www.cnblogs.com/xia520pi/archive/2012/05/16/2503949.html
9.hbase官方文档汉语版。http://abloz.com/hbase/book.html#hbase_default_configurations