Hadoop、Hbase完全分布式搭建

  1. 云栖社区>
  2. 博客>
  3. 正文

Hadoop、Hbase完全分布式搭建

技术小胖子 2017-11-14 07:34:00 浏览776
展开阅读全文

一、Hadoop1.0到2.0的架构变化

wKioL1UNG-aSt10OAAHl295Gnjw111.jpg

1、Hadoop 2.0由HDFS、MapReduce和YARN三个分支构成

2、HDFSNN Federation、HA

3、MapReduce运行在YARN上的MR

4、YARN资源管理系统


二、HDFS 2.0

1、解决HDFS 1.0中单点故障和内存受限问题。

2、解决单点故障

   HDFS HA通过主备NameNode解决

   如果主NameNode发生故障则切换到备NameNode上

3、解决内存受限问题

   HDFS Federation(联邦)

   水平扩展支持多个NameNode

   每个NameNode分管一部分目录

   所有NameNode共享所有DataNode存储资

4、仅是架构上发生了变化使用方式不变

  对HDFS使用者透明

   HDFS 1.0中的命令和API仍可以使用$ hadoop fs -ls /user/hadoop/$ hadoop fs -mkdir           /user/hadoop/data


三、HDFS 2.0 HA

1、主备NameNode

2、解决单点故障

   主NameNode对外提供服务备NameNode同步主NameNode元数据以待切换

   所有DataNode同时向两个NameNode汇报数据块信息

3、两种切换选择

   手动切换通过命令实现主备之间的切换可以用HDFS升级等场合

   自动切换基于Zookeeper实现

4、基于Zookeeper自动切换方案

   Zookeeper Failover Controller监控NameNode健康状态并向Zookeeper注册NameNode

   NameNode挂掉后ZKFC为NameNode竞争锁获得ZKFC 锁的NameNode变为active


四、环境搭建

192.168.1.2  master

192.168.1.3  slave1

192.168.1.4  slave2

Hadoop versionhadoop-2.2.0.tar.gz

Hbase  versionhbase-0.98.11-hadoop2-bin.tar.gz 

Zookeeper versionzookeeper-3.4.5.tar.gz

JDK versionjdk-7u25-linux-x64.gz


1、主机HOSTS文件配置

1
2
3
4
5
6
7
8
9
10
11
12
[root@master ~]# cat /etc/hosts
192.168.1.2 master
192.168.1.3 slave1
192.168.1.4 slave2
[root@slave1 ~]# cat /etc/hosts
192.168.1.2 master
192.168.1.3 slave1
192.168.1.4 slave2
[root@slave2 ~]# cat /etc/hosts
192.168.1.2 master
192.168.1.3 slave1
192.168.1.4 slave2


2、配置节点之间互信

1
2
3
4
5
6
7
8
9
10
[root@master ~]# useradd hadoop
[root@slave1 ~]# useradd hadoop
[root@slave2 ~]# useradd hadoop
[root@master ~]# passwd hadoop
[root@slave1 ~]# passwd hadoop
[root@slave2 ~]# passwd hadoop
[root@master ~]# su - hadoop
[hadoop@master ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub slave1
[hadoop@master ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub slave2
[hadoop@master ~]$ ssh-copy-id -i ~/.ssh/id_rsa.pub master



3、JDK环境配置

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
[root@master ~]# tar jdk-7u25-linux-x64.gz
[root@master ~]# mkdir /usr/java
[root@master ~]# mv jdk-7u25-linux-x64.gz /usr/java
[root@master ~]# cd /usr/java/
[root@master java]# ln -s jdk1.7.0_25 jdk
# 修改/etc/profile,添加
export JAVA_HOME=/usr/java/jdk
export CLASSPATH=$CLASSPATH:$JAVA_HOME/lib:$JAVA_HOME/jre/lib
export PATH=/usr/java/jdk/bin:$PATH
[root@master ~]# source /etc/profile
[root@master ~]# java -version
java version "1.7.0_25"
Java(TM) SE Runtime Environment (build 1.7.0_25-b15)
Java HotSpot(TM) 64-Bit Server VM (build 23.25-b01, mixed mode)
 
# slave1,slave2同样操作


4.Hadoop安装

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
[root@master ~]# tar zxvf hadoop-2.2.0.tar.gz
[root@master ~]# mv hadoop-2.2.0 /home/hadoop/
[root@master ~]# cd /home/hadoop/
[root@master hadoop]# ln -s hadoop-2.2.0 hadoop
[root@master hadoop]# chown -R hadoop.hadoop /home/hadoop/
[root@master ~]# cd /home/hadoop/hadoop/etc/hadoop
# 修改hadoop-env.sh文件
export JAVA_HOME=/usr/java/jdk
export HADOOP_HEAPSIZE=200
 
# 修改mapred-env.sh文件
export JAVA_HOME=/usr/java/jdk
export HADOOP_JOB_HISTORYSERVER_HEAPSIZE=1000
 
# 修改yarn-env.sh文件
export JAVA_HOME=/usr/java/jdk
JAVA_HEAP_MAX=-Xmx300m
YARN_HEAPSIZE=100
 
 
# 修改core-site.xml文件
<configuration>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://master:9000</value>
    </property>
    <property>
            <name>hadoop.tmp.dir</name>
            <value>/home/hadoop/tmp</value>
    </property>
    <property>
        <name>hadoop.proxyuser.hadoop.hosts</name>
        <value>*</value>
    </property>
    <property>
        <name>hadoop.proxyuser.hadoop.groups</name>
        <value>*</value>
    </property>
</configuration>
 
# 修改hdfs-site.xml文件
<configuration>
    <property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>master:9001</value>
    </property>
    <property>
        <name>dfs.namenode.name.dir</name>
        <value>/home/hadoop/dfs/name</value>
    </property>
    <property>
        <name>dfs.datanode.data.dir</name>
        <value>/home/hadoop/dfs/data</value>
    </property>
    <property>
        <name>dfs.replication</name>
        <value>2</value>
    </property>
    <property>
        <name>dfs.webhdfs.enabled</name>
        <value>true</value>
    </property>
</configuration>
 
 
# 修改mapred-site.xml文件
<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.address</name>
        <value>master:10020</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>master:19888</value>
    </property>
    <property>
        <name>mapreduce.map.memory.mb</name>
        <value>512</value>
    </property>
    <property>
        <name>mapreduce.map.cpu.vcores</name>
        <value>1</value>
    </property>
    <property>
        <name>mapreduce.reduce.memory.mb</name>
        <value>512</value>
    </property>
</configuration>
 
# 修改yarn-site.xml文件
<configuration>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
        <value>org.apache.hadoop.mapred.ShuffleHandler</value>
    </property>
    <property>
        <name>yarn.resourcemanager.address</name>
        <value>master:8032</value>
    </property>
    <property>
        <name>yarn.resourcemanager.scheduler.address</name>
        <value>master:8030</value>
    </property>
    <property>
        <name>yarn.resourcemanager.resource-tracker.address</name>
        <value>master:8031</value>
    </property>
    <property>
        <name>yarn.resourcemanager.admin.address</name>
        <value>master:8033</value>
    </property>
    <property>
        <name>yarn.resourcemanager.webapp.address</name>
        <value>master:8088</value>
    </property>
    <property>
        <name>yarn.scheduler.minimum-allocation-mb</name>
        <value>100</value>
    </property>
    <property>
        <name>yarn.scheduler.maximum-allocation-mb</name>
        <value>200</value>
    </property>
    <property>
        <name>yarn.scheduler.minimum-allocation-vcores</name>
        <value>1</value>
    </property>
    <property>
        <name>yarn.scheduler.maximum-allocation-vcores</name>
        <value>2</value>
    </property>
</configuration>
 
# 修改slaves文件
slave1
slave2
 
# 修改 /home/hadoop/.bashrc
 
export HADOOP_DEV_HOME=/home/hadoop/hadoop
export PATH=$PATH:$HADOOP_DEV_HOME/bin
export PATH=$PATH:$HADOOP_DEV_HOME/sbin
export HADOOP_MAPARED_HOME=${HADOOP_DEV_HOME}
export HADOOP_COMMON_HOME=${HADOOP_DEV_HOME}
export HADOOP_HDFS_HOME=${HADOOP_DEV_HOME}
export YARN_HOME=${HADOOP_DEV_HOME}
export HADOOP_CONF_DIR=${HADOOP_DEV_HOME}/etc/hadoop
export HDFS_CONF_DIR=${HADOOP_DEV_HOME}/etc/hadoop
export YARN_CONF_DIR=${HADOOP_DEV_HOME}/etc/hadoop
 
# 将上面修改的文件全部传送到slave1,slave2节点



5、在master节点上启动hdfs

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
[hadoop@master ~]$ cd /home/hadoop/hadoop/sbin/
[hadoop@master sbin]$ ./start-dfs.sh 
15/03/21 00:49:35 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Starting namenodes on [master]
master: starting namenode, logging to /home/hadoop/hadoop-2.2.0/logs/hadoop-hadoop-namenode-master.out
slave2: starting datanode, logging to /home/hadoop/hadoop-2.2.0/logs/hadoop-hadoop-datanode-slave2.out
slave1: starting datanode, logging to /home/hadoop/hadoop-2.2.0/logs/hadoop-hadoop-datanode-slave1.out
Starting secondary namenodes [master]
master: starting secondarynamenode, logging to /home/hadoop/hadoop-2.2.0/logs/hadoop-hadoop-secondarynamenode-master.out
 
# 查看进程
[hadoop@master ~]$ jps
39093 Jps
38917 SecondaryNameNode
38767 NameNode
 
[root@slave1 ~]# jps
2463 Jps
2379 DataNode
 
[root@slave2 ~]# jps
2463 Jps
2379 DataNode
 
#启动jobhistory
 
[hadoop@master sbin]$ mr-jobhistory-daemon.sh start historyserver
starting historyserver, logging to /home/hadoop/hadoop-2.2.0/logs/mapred-hadoop-historyserver-master.out



6、启动yarn

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
[hadoop@master ~]$ cd /home/hadoop/hadoop/sbin/
[hadoop@master sbin]$ ./start-yarn.sh 
starting yarn daemons
starting resourcemanager, logging to /home/hadoop/hadoop-2.2.0/logs/yarn-hadoop-resourcemanager-master.out
slave2: starting nodemanager, logging to /home/hadoop/hadoop-2.2.0/logs/yarn-hadoop-nodemanager-slave2.out
slave1: starting nodemanager, logging to /home/hadoop/hadoop-2.2.0/logs/yarn-hadoop-nodemanager-slave1.out
 
# 查看进程
[hadoop@master sbin]$ jps
39390 Jps
38917 SecondaryNameNode
39147 ResourceManager
38767 NameNode
[hadoop@slave1 ~]$ jps
2646 Jps
2535 NodeManager
2379 DataNode
 
[hadoop@slave2 ~]$ jps
8261 Jps
8150 NodeManager
8004 DataNode


7、查看hdfs文件系统

1
2
3
4
5
[hadoop@master sbin]$ hadoop fs -ls /
15/03/21 15:56:05 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Found 2 items
drwxr-xr-x   - hadoop supergroup          0 2015-03-20 17:46 /hbase
drwxrwx---   - hadoop supergroup          0 2015-03-20 16:56 /tmp



8、安装Zookeeper

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
[root@master ~]# tar zxvf zookeeper-3.4.5.tar.gz -C /home/hadoop/
[root@master ~]# cd /home/hadoop/
[root@master hadoop]# ln -s zookeeper-3.4.5 zookeeper
[root@master hadoop]# chown -R hadoop.hadoop /home/hadoop/zookeeper
[root@master hadoop]# cd zookeeper/conf/
[root@master conf]# cp zoo_sample.cfg zoo.cfg
# 修改zoo.cfg
dataDir=/home/hadoop/zookeeper/data
dataLogDir=/home/hadoop/zookeeper/logs
server.1=192.168.1.2:7000:7001
server.2=192.168.1.3:7000:7001
server.3=192.168.1.4:7000:7001
#在slave1,slave2执行相同的操作
 
[hadoop@master conf]# cd /home/hadoop/zookeeper/data/
[hadoop@master data]# echo 1 > myid 
[hadoop@slave1 data]# echo 2 > myid 
[hadoop@slave2 data]# echo 3 > myid 
 
#启动zookeeper
[hadoop@master ~]$ cd zookeeper/bin/
[hadoop@master bin]$ ./zkServer.sh start
[hadoop@slave1 ~]$ cd zookeeper/bin/
[hadoop@slave1 bin]$ ./zkServer.sh start
[hadoop@slave2 ~]$ cd zookeeper/bin/
[hadoop@slave2 bin]$ ./zkServer.sh start



9、Hbase安装

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
[root@master ~]# tar zxvf hbase-0.98.11-hadoop2-bin.tar.gz -C /home/hadoop/
[root@master ~]# cd /home/hadoop/
[root@master hadoop]# ln -s hbase-0.98.11-hadoop2 hbase
[root@master hadoop]# chown -R hadoop.hadoop /home/hadoop/hbase
[root@master hadoop]# cd /home/hadoop/hbase/conf/
# 修改hbase-env.sh文件
export JAVA_HOME=/usr/java/jdk
export HBASE_HEAPSIZE=50
 
# 修改 hbase-site.xml 文件
<configuration>
    <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.zookeeper.property.clientPort</name>    
            <value>2181</value>    
    </property>
    <property>
          <name>hbase.zookeeper.quorum</name>
          <value>master,slave1,slave2</value>
    </property>
</configuration>
 
# 修改regionservers文件
slave1
slave2
 
# 将上面修改的文件传送到slave1,slave2



10、在master上面启动Hbase

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
[hadoop@master ~]$ cd hbase/bin/
[hadoop@master bin]$ ./start-hbase.sh 
master: starting zookeeper, logging to /home/hadoop/hbase/bin/../logs/hbase-hadoop-zookeeper-master.out
slave1: starting zookeeper, logging to /home/hadoop/hbase/bin/../logs/hbase-hadoop-zookeeper-slave1.out
slave2: starting zookeeper, logging to /home/hadoop/hbase/bin/../logs/hbase-hadoop-zookeeper-slave2.out
starting master, logging to /home/hadoop/hbase/bin/../logs/hbase-hadoop-master-master.out
slave1: starting regionserver, logging to /home/hadoop/hbase/bin/../logs/hbase-hadoop-regionserver-slave1.out
slave2: starting regionserver, logging to /home/hadoop/hbase/bin/../logs/hbase-hadoop-regionserver-slave2.out
 
# 查看进程
[hadoop@master bin]$ jps
39532 QuorumPeerMain
38917 SecondaryNameNode
39147 ResourceManager
39918 HMaster
38767 NameNode
40027 Jps
 
[hadoop@slave1 data]$ jps
3021 HRegionServer
3133 Jps
2535 NodeManager
2379 DataNode
2942 HQuorumPeer
 
[hadoop@slave2 ~]$ jps
8430 HRegionServer
8351 HQuorumPeer
8150 NodeManager
8558 Jps
8004 DataNode
 
# 验证
 
[hadoop@master bin]$ ./hbase shell
2015-03-21 16:11:44,534 INFO  [main] Configuration.deprecation: hadoop.native.lib is deprecated. Instead, use io.native.lib.available
HBase Shell; enter 'help<RETURN>' for list of supported commands.
Type "exit<RETURN>" to leave the HBase Shell
Version 0.98.11-hadoop2, r6e6cf74c1161035545d95921816121eb3a516fe0, Tue Mar  3 00:23:49 PST 2015
 
hbase(main):001:0> list
TABLE                                                                                                                                                                                           
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/hadoop/hbase-0.98.11-hadoop2/lib/slf4j-log4j12-1.6.4.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/hadoop/hadoop-2.2.0/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.
2015-03-21 16:11:56,499 WARN  [main] util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
0 row(s) in 1.9010 seconds
 
=> []




11、查看集群状态

HDFS UIhttp://192.168.1.2:50070/dfshealth.jsp

wKioL1UNKangFROXAASShwIuv2E204.jpg


YARN UIhttp://192.168.1.2:8088/cluster

wKioL1UNKg3ztIHXAALvk_7_in4772.jpg


jobhistory UIhttp://192.168.1.2:19888/jobhistory


wKiom1UNKkPhxPw2AAIHcsxpKeg884.jpg


HBASE UIhttp://192.168.1.2:60010/master-status

wKioL1UNKnfzNKHkAAKUUKivsdg997.jpg






     本文转自ljl_19880709 51CTO博客,原文链接:http://blog.51cto.com/luojianlong/1622823,如需转载请自行联系原作者



网友评论

登录后评论
0/500
评论
技术小胖子
+ 关注