Centos 下Hbase0.98.10-hadoop2 集群的配置

环境

操作系统 Centos 6.5 64-bitHadoop:hadoop-2.5.2HBase:hbase-0.98.10-hadoop2Zookeeper:zookeeper-3.4.6

物理机器

 ip                       主机名   192.168.40.107 hadoop107192.168.40.108 hadoop108 192.168.40.104   hadoop104节点上已经布署好hadoop集群并正常启动,关于hadoop的配置请参考：Centos 6.5 下hadoop2.5.2的HA集群原理讲解以及详细配置

详细步骤

1.下载并解压hbase-0.98.10-hadoop2-bin.tar.gz到/root/hadoop下2.修改 hbase-env.sh ，hbase-site.xml，regionservers 这三个配置文件如下：#hbase-env.sh  export HBASE_OPTS="-XX:+UseConcMarkSweepGC"export JAVA_HOME=/root/hadoop/jdk1.7.0_51export HBASE_HOME=/root/hadoop/hbase-0.98.10-hadoop2export HADOOP_HOME=/root/hadoop/hadoop-2.5.2export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HBASE_HOME/binexport HBASE_MANAGES_ZK=true需要注意的地方是 ZooKeeper的配置。这与 hbase-env.sh 文件相关，文件中 HBASE_MANAGES_ZK 环境变量用来设置是使用hbase默认自带的 Zookeeper还是使用独立的ZooKeeper。HBASE_MANAGES_ZK=false 时使用独立的，为true时使用默认自带的。#hbase-site.xml        <configuration><property><name>hbase.rootdir</name><value> hdfs://hadoop148:9000/hbase</value></property><property><name>hbase.cluster.distributed</name><value>true</value></property><property><name>hbase.zookeeper.quorum</name><value> hadoop107,hadoop108,hadoop104 </value></property><property><name> hbase.master </name><value> hadoop107:60000 </value></property><property><name>zookeeper.session.timeout</name><value>60000</value></property><property><name>hbase.zookeeper.property.clientPort</name><value>2181</value></property><property><name>hbase.tmp.dir</name><value>/root/hadoop/hbase-0.98.10-hadoop2/hbase-tmp</value></property><property><name>hbase.zookeeper.property.dataDir</name><value>${hbase.tmp.dir}/zookeeper</value></property></configuration>#regionservers  

hadoop108
hadoop104

3.将文件分发到集群其它节点上，启动hbase并检查是否成功在HMaster即Namenode （hadoop107）启动HBase数据库（Hadoop集群必须已经启动）。 启动命令：bin/start-hbase.sh启动信息如下

[root@hadoop107 hbase-0.98.10-hadoop2]# bin/start-hbase.sh
hadoop107: starting zookeeper, logging to /root/hadoop/hbase-0.98.10-hadoop2/logs/hbase-root-zookeeper-hadoop107.out
hadoop104: starting zookeeper, logging to /root/hadoop/hbase-0.98.10-hadoop2/logs/hbase-root-zookeeper-hadoop104.out
hadoop108: starting zookeeper, logging to /root/hadoop/hbase-0.98.10-hadoop2/logs/hbase-root-zookeeper-hadoop108.out
starting master, logging to /root/hadoop/hbase-0.98.10-hadoop2/logs/hbase-root-master-hadoop107.out
hadoop104: starting regionserver, logging to /root/hadoop/hbase-0.98.10-hadoop2/logs/hbase-root-regionserver-hadoop104.out
hadoop108: starting regionserver, logging to /root/hadoop/hbase-0.98.10-hadoop2/logs/hbase-root-regionserver-hadoop108.out

在HMaster上用jps命令查看[root@hadoop107 conf]# jps  12560 NameNode  30611 Jps  12861 JobTracker  26302 HQuorumPeer  28715 HMaster  12755 SecondaryNameNode  在datanode上用jps命令查看[root@hadoop108 logs]# jps  8194 Jps  1020 DataNode  1147 TaskTracker  7376 HQuorumPeer  7583 HRegionServer  然后输入如下命令进入hbase的命令行管理界面：

bin/hbase shell
在hbase shell下 输入list，如下所示，列举你当前数据库的名称，如下图所示。如果你的Hbase没配置成功会抛出java错误。

[root@hadoop107 hbase-0.98.10]# bin/hbase shell
HBase Shell; enter 'help' for list of supported commands.
Type "exit" to leave the HBase Shell
Version 0.98.10, r1332822, Tue May  1 21:43:54 UTC 2012
hbase(main):001:0< list
TABLE
member
people
2 row(s) in 0.3980 seconds

我们也可以通过WEB页面来管理查看HBase数据库。  HMaster：http://192.168.40.107:60010/master-status4.安装过程中碰到的问题及解决方法问题1： hadoop108的HRegionServer启动失败解决方法：是由于这三点节点的系统时间不一致相差超过集群的检查时间30s，使用NTP同步时间问题2：Class path contains multiple SLF4J bindings.

SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/xuhui/hadoop-2.2.0/hbase-0.98.2-hadoop2/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/xuhui/hadoop-2.2.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFacto

解决办法：将hbase中各个节点的lib/下的slf4j-log4j12-1.7.5.jar删除，与/home/xuhui/hadoop-2.2.0/share/hadoop/common/lib下的jar重复包含了