Hbase学习1_CentOS6.5下Hbase1.1.2安装

经试验此教程在centos 7.2+hadoop2.7.2+hbase1.1.13下可以使用

Hbase

一、安装Hbase

在两台虚拟机Master和Slave1上安装Hbase

所需条件：Hadoop和Zookeeper集群安装完成

Root用户下操作

1、解压安装

将hbase-1.1.2-bin.tar.gz拿U盘复制到/home/hadoop目录下

在/home/hadoop目录下，解压安装

tar -zxvf hbase-1.1.2-bin.tar.gz -C/usr/local

软件下载地址：

http://www.apache.org/dyn/closer.cgi/hbase/

 

二、配置Hbase

1、修改conf/hbase-env.sh

进行以下修改：

exportJAVA_HOME=/usr/local/java/jdk1.8.0_65

exportHBASE_LOG_DIR=/usr/local/hbase-1.1.2/logs

export HBASE_MANAGES_ZK=true（目的是打开zookeeper管理）

2、修改conf/hbase-site.sh

内容修改如下：

hbase.rootdir

hdfs://Master:9000/hbase

hbase.cluster.distributed

true

 

hbase.master

Master:60000

hbase.zookeeper.quorum

Master,Slave1

hbase.zookeeper.property.dataDir

/usr/local/zookeeper/zkdata

备注：

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

hbase.zookeeper.property.dataDir  设置zookeeper的数据路径

hbase-1.1.2目录下，建立logs文件

mkdir logs

3、修改regionservers

将内容修改为：

Slave1

即Slave的名字

4、修改Hadoop hdfs-site.xml

注意其它的datanode也要进行修改

修改内容如下：

dfs.datanode.max.xcievers

4096

原因：

该参数限制了datanode所允许同时执行的发送和接受任务的数量，缺省为256，hadoop-defaults.xml中通常不设置这个参数。这个限制看来实际有些偏小，高负载下，DFSClient在put数据的时候会报could not read from stream的Exception

5、拷贝到其它主机

scp -r /usr/local/ hbase-1.1.2 Slave1:/usr/local

6、修改权限

在Master和Slave1上操作

chown -R hadoop:hadoop hbase-1.1.2

 

三、运行Hbase

1、启动

bin/hbase-1.1.2

2、脚本操作

启动

bin/hbase shell

用list命令来看一下hbase中有哪些表

list

创建一张表

create 'user_info','name'

往表中插入一条数据

put 'user_info','1','name:','Tom'

查询是否表中存在数据

scan 'user_info'

删除hbase表时，需要先disable '表名称'，然后在drop '表名称'

disable 'user_info'

drop 'user_info'

退出

exit

操作过程：

 [hadoop@Master bin]$ ./start-hbase.sh
 Slave1: starting zookeeper, logging to /usr/local/hbase-1.1.2/logs/hbase-hadoop-zookeeper-Slave1.out
 Master: starting zookeeper, logging to /usr/local/hbase-1.1.2/logs/hbase-hadoop-zookeeper-Master.out
 starting master, logging to /usr/local/hbase-1.1.2/logs/hbase-hadoop-master-Master.out
 Slave1: starting regionserver, logging to /usr/local/hbase-1.1.2/logs/hbase-hadoop-regionserver-Slave1.out
 Slave1: Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=128m; support was removed in 8.0
 Slave1: Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0
 [hadoop@Master bin]$ ./hbase shell
 SLF4J: Class path contains multiple SLF4J bindings.
 SLF4J: Found binding in [jar:file:/usr/local/hbase-1.1.2/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
 SLF4J: Found binding in [jar:file:/usr/local/hadoop/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.Log4jLoggerFactory]
 2016-01-25 23:06:21,475 WARN  [main] util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
 HBase Shell; enter 'help' for list of supported commands.
 Type "exit" to leave the HBase Shell
 Version 1.1.2, rcc2b70cf03e3378800661ec5cab11eb43fafe0fc, Wed Aug 26 20:11:27 PDT 2015

 hbase(main):001:0> list
 TABLE
 0 row(s) in 7.8750 seconds

 => []
 hbase(main):002:0> create 'user_info','name'
 0 row(s) in 8.5030 seconds

 => Hbase::Table - user_info
 hbase(main):003:0> put 'user_info','1','name:','Tom'
 0 row(s) in 2.0010 seconds

 hbase(main):004:0> scan 'user_info'
 ROW                   COLUMN+CELL
  1                    column=name:, timestamp=1453792722909, value=Tom
 1 row(s) in 0.3710 seconds

 hbase(main):005:0> list
 TABLE
 user_info
 1 row(s) in 0.0730 seconds

 => ["user_info"]
 hbase(main):006:0> drop 'user_info'

 ERROR: Table user_info is enabled. Disable it first.

 Here is some help for this command:
 Drop the named table. Table must first be disabled:
   hbase> drop 't1'
   hbase> drop 'ns1:t1'


 hbase(main):007:0> list
 TABLE
 user_info
 1 row(s) in 0.0360 seconds

 => ["user_info"]
 hbase(main):008:0> disable 'user_info'
 0 row(s) in 2.6240 seconds

 hbase(main):009:0> drop 'user_info'
 0 row(s) in 2.8240 seconds

 hbase(main):010:0> list
 TABLE
 0 row(s) in 0.0230 seconds

 => []
 hbase(main):011:0> exit
 [hadoop@Master bin]$