Hbase配置手册

Hbase配置手册 - 奔跑的羚羊 - ITeye技术网站

Hbase配置手册

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• hadoop

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Hbase配置手册

1）下载hbase

解压到每台服务器的/data/soft

解压

root@master:/data/soft# tar zxvf hbase-0.90.0.tar.gz

root@master:/data/soft# tar zxvf hbase-0.90.0.tar.gz

建立软连

root@master:/data/soft# ln -s hbase-0.90.0 hbase

root@master:/data/soft# ln -s hbase-0.90.0 hbase

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=/data/logs/hbase

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

2. 修改conf/hbase-site.xml，



 

<property>
  <name>hbase.rootdir</name>
  <value>hdfs://master:9000/hbase</value>
</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>

  <property>
    <name>hbase.rootdir</name>
    <value>hdfs://master:9000/hbase</value>
  </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>

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

4.复制hadoop的jar到hbase的lib目录下，删除原来的lib下的hadoop.jar

原来的hadoop-core-0.20-append-r1056497.jar

新的hadoop-0.20.2-core.jar



5.修改conf/regionservers

将所有的datanode添加到这个文件，类似与hadoop中slaves文件



6.拷贝hbase到所有的节点



3）启动hbase

$Snbsp;./bin/start-hbase.sh

$ ./bin/start-hbase.sh

4）hbase自带的web界面

http://master:60010/





5）测试

1.登录hbase客户端

./bin/hbase shell

./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

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

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

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

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