hadoop集群安装

最新推荐文章于 2025-04-11 00:20:04 发布

haolifengwang

最新推荐文章于 2025-04-11 00:20:04 发布

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本文链接：https://blog.youkuaiyun.com/haolifengwang/article/details/79411604

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hadoop集群安装

1 集群规划

Hadoop-master1	192.168.2.100	Namendoe主
Hadoop-master2	192.168.2.101	Namenode备
Hadoop-slave1	192.168.2.102	Datanode/zookeeper
Hadoop-slave2	192.168.2.103	Datanode/zookeeper
Hadoop-slave3	192.168.2.104	Datanode/zookeeper

zookeeper已经安装参考文件3_zookeeper集群安装

2 hadoop安装部署

2.1 软件包

hadoop-2.7.3.tar.gz

2.2 安装步骤

2.2.1 上传资料

创建目录/home/hadoop/hadoop，并将hadoop-2.7.3.tar.gz传到/home/hadoop/hadoop目录并解压。

2.2.2 修改环境变量

source ~/.bash_profile

2.2.3 创建相关目录

mkdir /home/hadoop/hadoop/data

cd /home/hadoop/hadoop/data

mkdir tmp

mkdir namenode

mkdir datanode

mkdir journal

2.2.4 修改hadoop-env.sh文件

cd /home/hadoop/hadoop/hadoop-2.7.3/etc/hadoop

vim hadoop-env.sh

修改：export JAVA_HOME=/usr/local/jdk

2.2.5 修改core-site.xml

<name>fs.defaultFS</name>

<value>hdfs://mycluster</value>

</property>

<name>hadoop.tmp.dir</name>

<value>/home/hadoop/hadoop/data/tmp</value>

</property>

<name>fs.trash.interval</name>

</property>

<name>ha.zookeeper.quorum</name>

<value>hadoop-slave1:2181,hadoop-slave2:2181,hadoop-slave3:2181</value>

</property>

</configuration>

2.2.6 修改hdfs-site.xml

<name>dfs.namenode.name.dir</name>

<value>/home/hadoop/hadoop/data/namenode</value>

</property>

<name>dfs.datanode.data.dir</name>

<value>/home/hadoop/hadoop/data/datanode</value>

</property>

<name>dfs.replication</name>

</property>

<name>dfs.permissions.enabled</name>

<value>false</value>

</property>

<name>dfs.webhdfs.enabled</name>

</property>

<name>dfs.nameservices</name>

<value>mycluster</value>

</property>

<name>dfs.ha.namenodes.mycluster</name>

</property>

<name>dfs.namenode.rpc-address.mycluster.nn1</name>

<value>hadoop-master1:8020</value>

</property>

<name>dfs.namenode.rpc-address.mycluster.nn2</name>

<value>hadoop-master2:8020</value>

</property>

<name>dfs.namenode.http-address.mycluster.nn1</name>

<value>hadoop-master1:50070</value>

</property>

<name>dfs.namenode.http-address.mycluster.nn2</name>

<value>hadoop-master2:50070</value>

</property>

<name>dfs.namenode.shared.edits.dir</name>

<value>qjournal://hadoop-slave1:8485;hadoop-slave2:8485;hadoop-slave3:8485/mycluster</value>

</property>

<name>dfs.journalnode.edits.dir</name>

<value>/home/hadoop/hadoop/data/journal</value>

</property>

<name>dfs.client.failover.proxy.provider.mycluster</name>

<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>

</property>

<name>dfs.ha.fencing.methods</name>

<value>sshfence</value>

</property>

<name>dfs.ha.fencing.ssh.private-key-files</name>

<value>/home/hadoop/.ssh/id_rsa</value>

</property>

<name>dfs.ha.automatic-failover.enabled</name>

</property>

</configuration>

2.2.7 修改mapred-site.xml

cp mapred-site.xml.template mapred-site.xml

<name>mapreduce.framework.name</name>

</property>

<name>mapreduce.jobhistory.address</name>

<value>hadoop-master1:10020</value>

</property>

<name>mapreduce.job.ubertask.enable</name>

</property>

<name>mapreduce.job.ubertask.maxmaps</name>

</property>

<name>mapreduce.job.ubertask.maxreduces</name>

</property>

</configuration>

2.2.8 修改yurm-site.xml

<name>yarn.nodemanager.aux-services</name>

<value>mapreduce_shuffle</value>

</property>

<name>yarn.web-proxy.address</name>

<value>hadoop-master2:8888</value>

</property>

<name>yarn.log-aggregation-enable</name>

</property>

<name>yarn.nodemanager.remote-app-log-dir</name>

</property>

<name>yarn.log-aggregation.retain-seconds</name>

</property>

<name>yarn.nodemanager.resource.memory-mb</name>

</property>

<name>yarn.nodemanager.resource.cpu-vcores</name>

</property>

<name>yarn.resourcemanager.ha.enabled</name>

</property>

<name>yarn.resourcemanager.ha.automatic-failover.enabled</name>

</property>

<name>yarn.resourcemanager.cluster-id</name>

<value>yarncluster</value>

</property>

<name>yarn.resourcemanager.ha.rm-ids</name>

</property>

<name>yarn.resourcemanager.hostname.rm1</name>

<value>hadoop-master1</value>

</property>

<name>yarn.resourcemanager.hostname.rm2</name>

<value>hadoop-master2</value>

</property>

<name>yarn.resourcemanager.webapp.address.rm1</name>

<value>hadoop-master1:8088</value>

</property>

<name>yarn.resourcemanager.webapp.address.rm2</name>

<value>hadoop-master2:8088</value>

</property>

<name>yarn.resourcemanager.zk-address</name>

<value>hadoop-slave1:2181,hadoop-slave2:2181,hadoop-slave3:2181</value>

</property>

<name>yarn.resourcemanager.zk-state-store.parent-path</name>

<value>/rmstore</value>

</property>

<name>yarn.resourcemanager.recovery.enabled</name>

</property>

<name>yarn.resourcemanager.store.class</name>

<value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>

</property>

<name>yarn.nodemanager.recovery.enabled</name>

</property>

<name>yarn.nodemanager.address</name>

</property>

</configuration>

2.2.9 修改slave

vim slave

hadoop-slave1

hadoop-slave2

hadoop-slave3

2.2.10 同步各主机

将/home/hadoop/hadoop目录传递到各个主机的home/hadoop目录下。

修改各个主机的~/.bash_profile

3 集群初始化

l 启动zookeeper集群（分别在slave1,slave2,slave3上执行）

zkServer.sh start

l 格式化ZKFC 在master1上执行

hdfs zkfc –formatZK

l 启动journalnode，分别在slave1,slave2,slave3上执行。

hadoop-daemon.sh start journalnode

l 格式化HDFS，在master1上执行

hdfs namenode –format

l 将格式化后master1节点hadoop工作目录中的元数据目录复制到master2节点

scp –r /home/hadoop/hadoop/data/namenode/* hadoop-master2:/home/hadoop/hadoop/data/namenode/

l 初始化完毕后可关闭journalnode(分别在slave1,slave2,slave3上执行)

hadoop-daemon.sh stop journalnode

4 集群启动

启动zookeeper集群（分别在Slave1,slave2,slave3）

zkServer.sh start

启动HDFS (在master1执行)

start-dfs.sh

此命令分别在master1/master2节点启动了NameNode和ZKFC，分别在slave1/slave2/slave3节点启动了DataNode和JournalNode，

// 启动YARN（在master2执行）

$ start-yarn.sh

备注：此命令在master2节点启动了ResourceManager，分别在slave1/slave2/slave3节点启动了NodeManager。

// 启动YARN的另一个ResourceManager（在master1执行，用于容灾）

$ yarn-daemon.sh start resourcemanager

// 启动YARN的安全代理（在master2执行）

$ yarn-daemon.sh start proxyserver

备注：proxyserver充当防火墙的角色，可以提高访问集群的安全性

// 启动YARN的历史任务服务（在master1执行）

$ mr-jobhistory-daemon.sh starthistoryserver

备注：yarn-daemon.sh start historyserver已被弃用；CDH版本似乎有个问题，即mapred-site.xml配置的mapreduce.jobhistory.address和mapreduce.jobhistory.webapp.address参数似乎不起作用，实际对应的端口号是10200和8188，而且部需要配置就可以在任意节点上开启历史任务服务。