您的位置:首页 > 其它

HBase安装配置之完全分布式模式

2014-11-25 16:32 453 查看





HBase安装配置之完全分布式模式

作者:Michael日期:2014
年3月10日发表评论(0)查看评论

HBase安装模式有三种:单机模式、分布式(伪分布式和完全分布式)。本教程介绍了HBase的完全分布式模式安装配置的过程,分布式模式均需要依赖于HDFS。

基础环境

安装配置

[一]、环境说明

JDK1.6+

Hadoop2.2.0

CentOS6.4

HBase-0.99.0-hadoop2

Hadoop集群机器对应于HBase用途如下:
hostnameIPHadoop用途HBase用途
Master.Hadoop192.168.13.33NameNode/ResouceManagerHMaster
Slave0.Hadoop192.168.13.30DataNode/NodeManagerHRegionServer/HQuorumPeer
Slave1.Hadoop192.168.13.31DataNode/NodeManagerHRegionServer/HQuorumPeer
Slave2.Hadoop192.168.13.32DataNode/NodeManagerHRegionServer/HQuorumPeer
Slave4.Hadoop192.168.13.34DataNode/NodeManagerHRegionServer/HQuorumPeer
Slave5.Hadoop192.168.13.35DataNode/NodeManagerHRegionServer/HQuorumPeer
有关hadoop2的集群安装配置参考:http://blog.csdn.net/san1156/article/details/41346183

[二]、安装配置

1、下载发布包

到HBase官方下载最新的版本
hbase-0.99.0-bin.tar.gz
(支持hadoop2)为例:

$tarxfzhbase-0.98.0-bin.tar.gz

$cdhbase-0.98.0

$ln-shbase-0.98.0hbase


注意:由于HBase依赖Hadoop,在分布式模式下,Hadoop版本必须和HBase下的版本一致。用你运行的分布式Hadoop版本jar文件替换HBaselib目录下的Hadoopjar文件,以避免版本不匹配问题,也可以根据情况自己编译发布包。----------------------暂时未替换

2、配置系统环境

#HBasemicmiu.comexport

exportHBASE_HOME=/home/hbase

exportPATH=$HBASE_HOME/bin:$PATH


3、配置HBase参数

修改配置文件:<HBASE_HOME>/conf/hbase-env.sh

exportJAVA_HOME=/usr/lib/jvm/java-1.6.0-openjdk.x86_64


修改配置文件:<HBASE_HOME>/conf/hbase-site.xml

1
<property>
2
<name>hbase.rootdir</name>
3
<!--
和hdfs中配置的fs.defaultFS一致bymicmiu.com-->
4
<value>hdfs://Master.Hadoop:9000/hbase</value>
5
</property>
6
<property>
7
<name>hbase.cluster.distributed</name>
8
<value>
true
</value>
9
</property>
10
<property>
11
<name>hbase.zookeeper.quorum</name>
12
<!--
设置zk集群的主机,建议奇数bymicmiu.com-->
13
<value>Slave0.Hadoop,Slave1.Hadoop,Slave2.Hadoop,
Slave4.Hadoop,Slave5.Hadoop</value>
14
</property>
15
<property>
16
<name>hbase.zookeeper.property.dataDir</name>
17
<value>/home/hadoop/data/zookeeper</value>
18
</property>
修改配置文件:<HBASE_HOME>/conf/regionservers

Slave0.Hadoop,Slave1.Hadoop,Slave2.Hadoop,Slave4.Hadoop,Slave5.Hadoop

注意:在HBase集群的所有机器上(一台Master:Master.Hadoop,三台RS:Slave5.Hadoop,Slave6.Hadoop,Slave7.Hadoop
共4台设备)都需要执行上面的所有安装配置过程。

4、演示

启动HBase之前确保HDFS已经启动,和单机模式的演示过程基本一致。

4.1、启动HBase:

在Master机器Master.Hadoop(192.168.6.77)上执行启动脚本:

1
[hadoop@Master
~]$start-hbase.sh
2
Master.Hadoop:
startingzookeeper,loggingto/usr/
local
/hbase/bin/../logs/hbase-hadoop-zookeeper-Slave7.Hadoop.out
3
Slave5.Hadoop:
startingzookeeper,loggingto/usr/
local
/hbase/bin/../logs/hbase-hadoop-zookeeper-Slave5.Hadoop.out
4
Slave6.Hadoop:
startingzookeeper,loggingto/usr/
local
/hbase/bin/../logs/hbase-hadoop-zookeeper-Slave6.Hadoop.out
5
starting
master,loggingto/usr/
local
/hbase/logs/hbase-hadoop-master-Master.Hadoop.out
6
localhost:
startingregionserver,loggingto/usr/
local
/hbase/bin/../logs/hbase-hadoop-regionserver-Master.Hadoop.out
打开http://Master.Hadoop(192.168.6.77):16030主界面,可以查看Master运行状态。

打开http://SlaveX.Hadoop(192.168.8.20x):16030主界面,可以查看RegionServer运行状态

4.2、shell演示建表、插入数据、查询数据、删除表

1
$
hbaseshell
2
2014-03-10
16:31:46,216INFO[main]Configuration.deprecation:hadoop.native.libisdeprecated.Instead,useio.native.lib.available
3
HBase
Shell;enter
'help<RETURN>'
for
list
ofsupportedcommands.
4
Type
"exit<RETURN>"
to
leavetheHBaseShell
5
Version
0.98.0-hadoop2,r1565492,ThuFeb616:46:57PST2014
6
7
hbase(main):001:0>
create
'test_distributed'
,
'cf'
8
SLF4J:
ClasspathcontainsmultipleSLF4Jbindings.
9
SLF4J:
Foundbinding
in
[jar:
file
:/usr/
local
/hbase-0.98.0-hadoop2/lib/slf4j-log4j12-1.6.4.jar!/org/slf4j/impl/StaticLoggerBinder.class]
10
SLF4J:
Foundbinding
in
[jar:
file
:/usr/
local
/hadoop-2.2.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
11
SLF4J:
Seehttp://www.slf4j.org/codes.html
#multiple_bindings
foranexplanation.
12
0
row(s)
in
1.4320
seconds
13
14
=>
Hbase::Table-test_distributed
15
hbase(main):002:0>
list
16
TABLE
17
test_distributed
18
1
row(s)
in
0.0390
seconds
19
20
=>
[
"test_distributed"
]
21
hbase(main):003:0>
put
'test_distributed'
,
'row1'
,
'cf:a'
,
'micmiu.com'
22
0
row(s)
in
0.0670
seconds
23
24
hbase(main):004:0>
put
'test_distributed'
,
'row2'
,
'cf:b'
,
'sjsky.iteye.com'
25
0
row(s)
in
0.0130
seconds
26
27
hbase(main):005:0>
put
'test_distributed'
,
'row3'
,
'cf:c'
,
'baby.micmiu.com'
28
0
row(s)
in
0.0090
seconds
29
30
hbase(main):006:0>
scan
'test_distributed'
31
ROW
COLUMN+CELL
32
row1
column=cf:a,timestamp=1394440732360,value=micmiu.com
33
row2
column=cf:b,timestamp=1394440750501,value=sjsky.iteye.com
34
row3
column=cf:c,timestamp=1394440765951,value=baby.micmiu.com
35
3
row(s)
in
0.0230
seconds
36
37
hbase(main):007:0>
get
'test_distributed'
,
'row1'
38
COLUMN
CELL
39
cf:a
timestamp=1394440732360,value=micmiu.com
40
1
row(s)
in
0.0110
seconds
41
42
hbase(main):008:0>
disable
'test_distributed'
43
0
row(s)
in
1.4540
seconds
44
45
hbase(main):009:0>
drop
'test_distributed'
46
0
row(s)
in
0.2470
seconds
47
48
hbase(main):010:0>
exit
4.3、停止HBase:
stop-hbase.sh


1
[hadoop@Master
~]$stop-hbase.sh
2
stopping
hbase...............
3
Slave7.Hadoop:
stoppingzookeeper.
4
Slave5.Hadoop:
stoppingzookeeper.
5
Slave6.Hadoop:
stoppingzookeeper.
到此完全分布式模式的安装配置的介绍结束。

内容来自用户分享和网络整理,不保证内容的准确性,如有侵权内容,可联系管理员处理 点击这里给我发消息
标签: