Hbase0.98.4/Hadoop2.4.1整合小结【原创】

　　设定hbase的数据目录，修改conf/hbase-site.xml

<configuration>    

    <property>

        <name>hbase.cluster.distributed</name>

        <value>true</value>

        <description>The mode the clusterwill be in. Possible values are

            false: standalone and pseudo-distributedsetups with managed Zookeeper

            true: fully-distributed with unmanagedZookeeper Quorum (see hbase-env.sh)

        </description>

    </property>

    <property>

        <name>hbase.rootdir</name>

        <value>hdfs://Master:9000/hbase</value>

        <description>The directory shared byRegionServers.

        </description>

    </property>

    <property>

        <name>hbase.zookeeper.property.clientPort</name>

        <value>2222</value>

        <description>Property fromZooKeeper's config zoo.cfg.

        The port at which the clients willconnect.

        </description>

    </property>

    <property>

        <name>hbase.zookeeper.quorum</name>

        <value>Master</value><!--有多台就填多台主机名-->

        <description>Comma separated listof servers in the ZooKeeper Quorum.

        For example,"host1.mydomain.com,host2.mydomain.com,host3.mydomain.com".

        By default this is set to localhost forlocal and pseudo-distributed modes

        of operation. For a fully-distributedsetup, this should be set to a full

        list of ZooKeeper quorum servers. IfHBASE_MANAGES_ZK is set in hbase-env.sh

        this is the list of servers which we willstart/stop ZooKeeper on.

        </description>

    </property>

    <property>

        <name>hbase.zookeeper.property.dataDir</name>

        <value>/usr/local/hbase/zookeeper</value>

        <description>Property fromZooKeeper's config zoo.cfg.

        The directory where the snapshot isstored.

        </description>

    </property>

</configuration>

　　修改conf/regionservers，和hadoop的slaves一样的操作，我还是要把localhost干掉的。一样的，要配多个就放多个。

Master

　　替换hbase安装目录下的lib中使用的hadoop的jar包，改成一致的。

　　原先hadoop相关的包为

　　在hbase中lib目录下建立一个sh(省得直接用命令把杂七杂八的全部复制过来了)，然后跑一下，把必须的那些jar包从hadoop安装目录导过来。

find -name "hadoop*jar" | sed 's/2.2.0/2.4.1/g' | sed 's/.\///g' > f.log
rm ./hadoop*jar
cat ./f.log | while read Line
do
find /usr/local/hadoop/share/hadoop -name "$Line" | xargs -i cp {} ./
done

rm ./f.log

　　lib包下面有个slf4j-log4j12-XXX.jar，在机器有装hadoop时，由于classpath中会有hadoop中的这个jar包，会有冲突，直接删除掉，没有就不用删除了。在HBase的shell运行时，就能看到信息了，当然，查日志也行。

　　完了直接启动hbase，hadoop的dfs那边会有反应了：

　　剩下的随便折腾了。