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  • Hadoop Hbase

    Apache HBase™ is the Hadoop database, a distributed, scalable, big data store.

    Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.

    集群环境

    Centos7 
    hadoop 3.3.0
    zookeeper 3.6.1
    hbase  1.3.1

    搭建zookeeper 单节点

    tar -zxf apache-zookeeper-3.6.1-bin.tar.gz -C ../module/

    修改zoo.cfg文件

    vim zoo.cfg 

    修改

      dataDir=/opt/module/zookeeper/zkData


    追加
    #######################cluster########################## server.
    1=hadoop001:2888:3888

    创建/opt/module/zookeeper/zkData 目录

    写入myid文件

    mkdir zkData
    echo '1' > ./zkData/myid

    启动zookeeper

    ./bin/zkServer.sh start

    解压Hbase 文件

    tar -zxf hbase-1.3.1-bin.tar.gz -C /opt/module/

    修改hbase-site.xml

     vim hbase-site.xml

    <configuration>
      <property>
        <name>hbase.rootdir</name>
        <value>hdfs://hadoop001:9000/HBase</value>
      </property>
      <property>
        <name>hbase.cluster.distributed</name>
        <value>true</value>
      </property>
      <!-- 0.98 后的新变动,之前版本没有.port,默认端口为 60000 -->
      <property>
        <name>hbase.master.port</name>
        <value>16000</value>
      </property>
      <property>
        <name>hbase.zookeeper.quorum</name>
        <value>hadoop001</value>
      </property>
      <property>
        <name>hbase.zookeeper.property.dataDir</name>
        <value>/opt/module/zookeeper/zkData</value>
      </property>
    </configuration>

    修改 hbase-env.sh 文件

    vim hbase-env.sh

     export JAVA_HOME=/opt/module/java

    启动master节点

    ./bin/hbase-daemon.sh start master

    启动 regionserver节点

    ./bin/hbase-daemon.sh start regionserver

    查看服务

    jps

    hbase shell 进入数据库

    ./bin/hbase shell

    创建表

    create

    hbase(main):006:0> create 'student','info' 0 row(s) in 1.2830 seconds => Hbase::Table - student

    查看当前namespace 下有哪些表

    list

    hbase(main):007:0> list
    TABLE
    student
    1 row(s) in 0.0030 seconds

    => ["student"]

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  • 原文地址:https://www.cnblogs.com/blogscc/p/13616341.html
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