hbase 配置

环境：

ubuntu 11.04

hadoop-0.20.2

hbase-0.90.5

1）下载hbase 
解压到每台服务器的/data/soft 
解压

root@master:/data/soft# tar zxvf  hbase-0.90.5.tar.gz

2）配置hbase 
前提是安装完成hadoop，默认在namenode上进行 
1.修改conf/hbase-env.sh，添加jdk支持

export JAVA_HOME=/usr/local/jdk 
export HBASE_MANAGES_ZK=true 
export HBASE_LOG_DIR=/home/hunter/hbase/logs

修改 ： 

export HBASE_SSH_OPTS="-p 30022 -o ConnectTimeout=1 -o SendEnv=HBASE_CONF_DIR"

 //查看hbase/lib下的hadoop/hadoop-0.20.2-core.jar和zookeeper-3.3.5.jar对应的版本

2. 修改conf/hbase-site.xml，

<property> 
<name>hbase.rootdir</name> 
<value>hdfs://master:9000/user/hbase</value>   这里master就是namenode的主机名
</property> 
<property> 
<name>hbase.cluster.distributed</name> 
<value>true</value> 
</property> 
<property> 
<name>hbase.master</name> 
<value>hdfs://master:60000</value> 
</property> 

<property> 
<name>hbase.zookeeper.quorum</name> 
<value>slave-001,slave-002,slave-003</value> 
<description>Comma separated list of servers in the ZooKeeper Quorum. For example, "host1.mydomain.com,host2.mydomain.com,host3.mydomain.com". By default this is set to localhost for local and pseudo-distributed modes of operation. For a fully-distributed setup, this should be set to a full list of ZooKeeper quorum servers. If HBASE_MANAGES_ZK is set in hbase-env.sh this is the list of servers which we will start/stop ZooKeeper on. </description> 
</property> 
<property> 
<name>hbase.zookeeper.property.dataDir</name> 
<value>/data/work/zookeeper</value> 
<description>Property from ZooKeeper's config zoo.cfg. The directory where the snapshot is stored. </description> 
</property>

hbase.rootdir设置hbase在hdfs上的目录，主机名为hdfs的namenode节点所在的主机 
hbase.cluster.distributed设置为true，表明是完全分布式的hbase集群 
hbase.master设置hbase的master主机名和端口 
hbase.zookeeper.quorum设置zookeeper的主机，建议使用单数

3.修改hadoop的目录下的conf/hdfs-site.xml

<property> 
<name>dfs.datanode.max.xcievers</name> 
<value>4096</value> 
</property>

4.修改conf/regionservers 
将所有的datanode添加到这个文件，类似与hadoop中slaves文件

5.拷贝hbase到所有的节点

6. 启动hbase 

$ ./bin/start-hbase.sh

7 hbase自带的web界面

http://master:60010/

8 测试 
1).登录hbase客户端

./bin/hbase shell

2).新建数据表，并插入3条记录 

hbase(main):003:0> create 'test', 'cf' 
0 row(s) in 1.2200 seconds 
hbase(main):003:0> list 'table' 
test 
1 row(s) in 0.0550 seconds 
hbase(main):004:0> put 'test', 'row1', 'cf:a', 'value1' 
0 row(s) in 0.0560 seconds 
hbase(main):005:0> put 'test', 'row2', 'cf:b', 'value2' 
0 row(s) in 0.0370 seconds 
hbase(main):006:0> put 'test', 'row3', 'cf:c', 'value3' 
0 row(s) in 0.0450 seconds

3).查看插入的数据 

hbase(main):007:0> scan 'test' 
ROW COLUMN+CELL 
row1 column=cf:a, timestamp=1288380727188, value=value1 
row2 column=cf:b, timestamp=1288380738440, value=value2 
row3 column=cf:c, timestamp=1288380747365, value=value3 
3 row(s) in 0.0590 seconds

4).读取单条记录 

hbase(main):008:0> get 'test', 'row1' 
COLUMN CELL 
cf:a timestamp=1288380727188, value=value1 
1 row(s) in 0.0400 seconds

5).停用并删除数据表 

hbase(main):012:0> disable 'test' 
0 row(s) in 1.0930 seconds 
hbase(main):013:0> drop 'test' 
0 row(s) in 0.0770 seconds

6).退出 

hbase(main):014:0> exit