hadoop3.0.3高可用(ZK;DN)

server1-5五台配置好apache的hadoop

nfs-utils rpcbind 将hadoopserver1挂载-->2-5

清空环境

sbin/stop-yarn.sh

sbin/stop-dfs.sh

rm -fr /tmp/* 每个节点

kill 所有java进程

2 5 高可用

134 zk

server1 上因为这里弄混了2 1 所以你做的时候按照1

[[email protected] ~]$ tar zxf zookeeper-3.4.9.tar.gz
[[email protected] ~]$ cd zookeeper-3.4.9
zookeeper-3.4.9/        zookeeper-3.4.9.tar.gz
[[email protected] ~]$ cd zookeeper-3.4.9/con
conf/    contrib/
[[email protected] ~]$ cd zookeeper-3.4.9/con
conf/    contrib/
[[email protected] ~]$ cd zookeeper-3.4.9/conf/
[[email protected] conf]$ cp zoo_sample.cfg zoo.cfg

[[email protected] conf]$ vim zoo.cfg

server.1=172.25.11.2:2888:3888
server.2=172.25.11.3:2888:3888
server.3=172.25.11.4:2888:3888

server 1 3 4 分别echo 1 2 3 --> myid

server 1 3 4 分别执行下面但是id号要对应 1 2 3

[[email protected] conf]$ mkdir /tmp/zookeeper
[[email protected] conf]$ vim /tmp/zookeeper/myid
[[email protected] conf]$ cat /tmp/zookeeper/myid
1

echo 1 > /tmp/zookeeper/myid 数字和空格> 要分开

server 134 zookeeper

bin/zkServer.sh start

~/zookeeper-3.4.9/bin/zkServer.sh start

server2

vim core-site.xml

<property>
<name>ha.zookeeper.quorum</name>
<value>172.25.11.2:2181,172.25.11.3:2181,172.25.11.4:2181</value>
</property>

[[email protected] zookeeper-3.4.9]$ vim ../hadoop/etc/hadoop/core-site.xml

    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://masters</value>
    </property>

[[email protected] zookeeper-3.4.9]$ vim ../hadoop/etc/hadoop/hdfs-site.xml

    <property>
        <name>dfs.replication</name>
        <value>3</value>
    </property>
<property>
<name>dfs.nameservices</name>
<value>masters</value>
</property>
<property>
<name>dfs.ha.namenodes.masters</name>
<value>h1,h2</value>
</property>
<property>
<name>dfs.namenode.rpc-address.masters.h1</name>
<value>172.25.11.2:9000</value>
</property>
<property>
<name>dfs.namenode.http-address.masters.h1</name>
<value>172.25.11.2:9870</value>
</property>
<property>
<name>dfs.namenode.rpc-address.masters.h2</name>
<value>172.25.11.5:9000</value>
</property>
<property>
<name>dfs.namenode.http-address.masters.h2</name>
<value>172.25.11.5:9870</value>
</property>
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://172.25.11.1:8485;172.25.11.3:8485;172.25.11.4:8485/masters</value>
</property>
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/tmp/journaldata</value>
</property>
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
<property>
<name>dfs.client.failover.proxy.provider.masters</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<property>
<name>dfs.ha.fencing.methods</name>
<value>
sshfence
shell(/bin/true)
</value>
</property>
<property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/home/hadoop/.ssh/id_rsa</value>
</property>
<property>
<name>dfs.ha.fencing.ssh.connect-timeout</name>
<value>30000</value>
</property>

bin/hdfs namenode -format

134 为节点

25为HA

server 134

sbin/hadoop-daemon.sh start journalnode

~/hadoop/bin/hdfs --daemon start journalnode

server2

bin/hdfs namenode -format

scp -r /tmp/hadoop-hadoop 172.25.11.5:/tmp

~/hadoop/bin/hdfs zkfc -formatZK 故障控制器

~/hadoop/sbin/start-dfs.sh

http://172.25.11.2:9870/dfshealth.html#tab-overview

http://172.25.11.5:9870/dfshealth.html#tab-overview

hadoop3.0.3高可用(ZK;DN)

../hadoop/bin/hdfs zkfc

[[email protected] hadoop]$ bin/hdfs dfs -mkdir -p /user/hadoop
[[email protected] hadoop]$ bin/hdfs dfs -mkdir input
[[email protected] hadoop]$ bin/hdfs dfs -put etc/hadoop/* input

bin/hdfs --daemon start namenode

~/zookeeper-3.4.9/bin/zkCli.sh -server 127.0.0.1:218

[[email protected] zookeeper-3.4.9]$ /home/hadoop/zookeeper-3.4.9/bin/zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /home/hadoop/zookeeper-3.4.9/bin/../conf/zoo.cfg
Mode: follower

[[email protected] ~]$ /home/hadoop/zookeeper-3.4.9/bin/zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /home/hadoop/zookeeper-3.4.9/bin/../conf/zoo.cfg
Mode: follower

[[email protected] ~]$ /home/hadoop/zookeeper-3.4.9/bin/zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /home/hadoop/zookeeper-3.4.9/bin/../conf/zoo.cfg
Mode: leader

[[email protected] ~]$ jps
13992 Jps
13498 DataNode
13403 JournalNode
13789 QuorumPeerMain

mapreduce

mapred-site.xml

<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>

yarn-site.xml

<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>

<property>
<name>yarn.resourcemanager.ha.rm-ids</name>
<value>rm1,rm2</value>
</property>

<property>
<name>yarn.resourcemanager.hostname.rm1</name>
<value>172.25.11.1</value>
</property>

<property>
<name>yarn.resourcemanager.hostname.rm2</name>
<value>172.25.11.5</value>
</property>

<property>
<name>yarn.resourcemanager.recovery.enabled</name>
<value>true</value>
</property>

<property>
<name>yarn.resourcemanager.store.class</name>
<value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>
</property>

<property>
<name>yarn.resourcemanager.zk-address</name>
<value>172.25.11.1:2181,172.25.11.3:2181,172.25.11.4:2181</value>
</property>

server2

sbin/start-yarn.sh

杀掉之后再打开测试

bin/yarn --daemon start resourcemanager

[[email protected] hadoop]$ jps
24800 NameNode
25998 Jps
25775 ResourceManager

Hbase分布式部署

（HIVE HBASE是两个不同的）

[[email protected] ~]$ tar zxf hbase-1.2.4-bin.tar.gz

[[email protected] hbase]$ vim conf/hbase-env.sh

export JAVA_HOME=/home/hadoop/java/

export HADOOP_HOME=/home/hadoop/hadoop

export HBASE_MANAGES_ZK=false

因为上面自己做过ZK 这里去掉ZK

vim conf/hbase-site.xml

<property>
<name>hbase.rootdir</name>
<value>hdfs://masters/hbase</value>
</property>

<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>

<property>
<name>hbase.zookeeper.quorum</name>
<value>172.25.11.1,172.25.11.3,172.25.11.4</value>
</property>

<property><name>hbase.master</name>
<value>h1</value>
</property>

[[email protected] hbase]$ vim conf/regionservers

172.25.11.1
172.25.11.3
172.25.11.4

server 2 主结点

bin/start-hbase.sh

server5

bin/hbase-daemon.sh start master

访问HBASE

172.25.11.2：16010

http://172.25.11.5:16010/master-status

http://172.25.11.2:16010/master-status

hadoop3.0.3高可用(ZK;DN)

放数据

bin/hbase shell

create "test","cf"

list 'test'

hadoop3.0.3高可用(ZK;DN)

bin/hbase-daemon

hadoop3.0.3高可用(ZK;DN)

mapreduce

Hbase分布式部署

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