hbase hadoop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，方便理解

<code=xml>

<prename="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 andthen HMaster server abort ,you should remove the file hadooptmp and restart thehbase –> <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>

<prename="code" class="html"><configuration> <property> <name>dfs.datanode.handler.count</name> <value>5</value> <description>The number ofserver threads for the datanode.</description> </property> <property> <name>dfs.namenode.handler.count</name> <value>5</value> <description>The number ofserver 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, ifyou 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>

exportHADOOP_MAPRED_PID_DIR=/usr/qhl/hadoopWorkspace/haddopMapredPidDir # The pidfiles 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 3.1habs-env.sh环境配置

<code=xml>

exportJAVA_HOME=/usr/lib/jdk/jdk1.7.0_45/ #你的jdk安装目录 exportHBASE_PID_DIR=/usr/qhl/hbaseWorkspace/pids # The directory where pid files arestored. /tmp by default. exportHBASE_MANAGES_ZK=true #使用hhase自带的zookeeper

</code>

3.2hbase-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 directsHBase to run in distributed mode, with one JVM instance perdaemon.</description> </property> <property> <name>hbase.tmp.dir</name> <value>/usr/qhl/hbaseWorkspace/hbasetmp</value> <!– if the HMaster start servel seconds andthen HMaster server abort ,you should remove the file hadooptmp and restart thehbase –> </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 portmaster should bind to.</description> </property> <property> <name>hbase.master.maxclockskew</name> <value>200000</value> <description>Time difference ofregionserver 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。

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