Hadoop集群及组件

作者: 一个小运维 | 来源:发表于2021-07-14 17:18 被阅读0次

zookeeper集群图例

zookeeper集群

集群安装

1、重启云主机 hadoop1,node-0001,node-0002,node-0003

2、在 hadoop1 上安装配置 zookeeper，并同步给其他主机
使用zookeeper-3.4.13.tar.gz

[root@hadoop1 ~]# yum install -y java-1.8.0-openjdk-devel
[root@hadoop1 ~]# tar zxf zookeeper-3.4.13.tar.gz
[root@hadoop1 ~]# mv zookeeper-3.4.13 /usr/local/zookeeper
[root@hadoop1 ~]# cd /usr/local/zookeeper/conf/
[root@hadoop1 conf]# cp zoo_sample.cfg zoo.cfg
[root@hadoop1 conf]# vim zoo.cfg
# 配置文件最后添加
server.1=node-0001:2888:3888
server.2=node-0002:2888:3888
server.3=node-0003:2888:3888
server.4=hadoop1:2888:3888:observer
[root@hadoop1 ~]# for i in node-{0001..0003};do
                      rsync -aXSH --delete /usr/local/zookeeper ${i}:/usr/local/
                  done

所有节点手工启动服务

[root@hadoop1 ~]# mkdir /tmp/zookeeper
[root@hadoop1 ~]# grep -Po "\d+(?==${HOSTNAME})" /usr/local/zookeeper/conf/zoo.cfg >/tmp/zookeeper/myid
[root@hadoop1 ~]# /usr/local/zookeeper/bin/zkServer.sh start
[root@hadoop1 ~]# jps
1001 QuorumPeerMain

当所有节点启动完成以后使用命令验证:

/usr/local/zookeeper/bin/zkServer.sh status

zookeeper集群管理

手册地址

[root@hadoop1 ~]# yum install -y socat
[root@hadoop1 ~]# socat - TCP:node-0001:2181
ruok
imok
[root@hadoop1 bin]# vim zkstats
#!/bin/bash
function getzkstat(){
    exec 2>/dev/null
    exec 8<>/dev/tcp/$1/2181
    echo stat >&8
    Msg=$(cat <&8 |grep -P "^Mode:")
    exec 8<&-
    printf "%15s " $1
    echo -e "${Msg:-Mode: \x1b[31mNULL\x1b[0m}"
}

if (( $# == 0 ));then
    echo "${0##*/} zk1 zk2 zk3 ... ..."
else
    for i in $@;do
        getzkstat ${i}
    done
fi

[root@hadoop1 bin]# ./zkstats hadoop1 node-{0001..0003}
             hadoop1 Mode: observer
           node-0001 Mode: follower
           node-0002 Mode: leader
           node-0003 Mode: follower

kafka集群

kafka安装

1、安装配置 kafka，并同步给其他主机
拷贝云盘 public/hadoop/kafka_2.12-2.1.0.tgz 到 hadoop1

[root@hadoop1 ~]# yum install -y java-1.8.0-openjdk-devel
[root@hadoop1 ~]# tar zxf kafka_2.12-2.1.0.tgz
[root@hadoop1 ~]# mv kafka_2.12-2.1.0 /usr/local/kafka
[root@hadoop1 ~]# for i in node-{0001..0003};do
                      rsync -aXSH --delete /usr/local/kafka ${i}:/usr/local/
                  done

2、修改 node-0001,node-0002,node-0003 配置文件并启动服务

[root@node-0001 ~]# vim /usr/local/kafka/config/server.properties
21   broker.id=1
123  zookeeper.connect=node-0001:2181,node-0002:2181,node-0003:2181
[root@node-0001 ~]# /usr/local/kafka/bin/kafka-server-start.sh -daemon /usr/local/kafka/config/server.properties
[root@node-0001 ~]# jps
1400 Kafka

3、验证（在不同机器上执行）

[root@node-0001 ~]# /usr/local/kafka/bin/kafka-topics.sh --create --partitions 1 --replication-factor 1 --zookeeper localhost:2181 --topic mymsg
#----------------------------------------------------------------------------------------
[root@node-0002 ~]# /usr/local/kafka/bin/kafka-console-producer.sh --broker-list  localhost:9092 --topic mymsg
#----------------------------------------------------------------------------------------
[root@node-0003 ~]# /usr/local/kafka/bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic mymsg

Hadoop高可用集群

高可用架构图例

购买云主机

主机名	IP地址	基础配置
hadoop2	192.168.1.56	2cpu, 2G内存

角色与配置

主机名	IP地址	角色服务
hadoop1	192.168.1.50	namenode, resourcemanager, ZKFC
hadoop2	192.168.1.56	namenode, resourcemanager, ZKFC
node-0001	192.168.1.51	datanode, nodemanager, zookeeper, journalnode
node-0002	192.168.1.52	datanode, nodemanager, zookeeper, journalnode
node-0003	192.168.1.53	datanode, nodemanager, zookeeper, journalnode

环境初始化

hadoop1 上执行

[root@hadoop1 ~]# vim /etc/hosts
192.168.1.50    hadoop1
192.168.1.56    hadoop2
192.168.1.51    node-0001
192.168.1.52    node-0002
192.168.1.53    node-0003
[root@hadoop1 ~]# rsync -aXSH --delete /root/.ssh hadoop2:/root/
[root@hadoop1 ~]# for i in hadoop2 node-{0001..0003};do
                      rsync -av /etc/hosts ${i}:/etc/
                  done

hadoop2 上执行

[root@hadoop2 ~]# yum install -y java-1.8.0-openjdk-devel
[root@hadoop2 ~]# vim /etc/ssh/ssh_config
# 60行新添加
    StrictHostKeyChecking no

集群配置文件

在 hadoop1 上完成以下文件的配置
1、配置 hadoop-env.sh

[root@hadoop1 ~]# vim /usr/local/hadoop/etc/hadoop/hadoop-env.sh
25:  export JAVA_HOME="java-1.8.0-openjdk安装路径"
33:  export HADOOP_CONF_DIR="/usr/local/hadoop/etc/hadoop"

2、配置 slaves

[root@hadoop1 ~]# vim /usr/local/hadoop/etc/hadoop/slaves
node-0001
node-0002
node-0003

3、配置 core-site.xml

[root@hadoop1 ~]# vim /usr/local/hadoop/etc/hadoop/core-site.xml
<configuration>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://mycluster</value>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/var/hadoop</value>
    </property>
    <property>
        <name>ha.zookeeper.quorum</name>
        <value>node-0001:2181,node-0002:2181,node-0003:2181</value>
    </property>
    <property>
        <name>hadoop.proxyuser.nfsuser.groups</name>
        <value>*</value>
    </property>
    <property>
        <name>hadoop.proxyuser.nfsuser.hosts</name>
        <value>*</value>
    </property>
</configuration>

4、配置 hdfs-site.xml

[root@hadoop1 ~]# vim /usr/local/hadoop/etc/hadoop/hdfs-site.xml
<configuration>
    <property>
        <name>dfs.nameservices</name>
        <value>mycluster</value>
    </property>
    <property>
        <name>dfs.ha.namenodes.mycluster</name>
        <value>nn1,nn2</value>
    </property>
    <property>
        <name>dfs.namenode.rpc-address.mycluster.nn1</name>
        <value>hadoop1:8020</value>
    </property>
    <property>
        <name>dfs.namenode.rpc-address.mycluster.nn2</name>
        <value>hadoop2:8020</value>
    </property>
    <property>
        <name>dfs.namenode.http-address.mycluster.nn1</name>
        <value>hadoop1:50070</value>
    </property>
    <property>
        <name>dfs.namenode.http-address.mycluster.nn2</name>
        <value>hadoop2:50070</value>
    </property>
    <property>
        <name>dfs.namenode.shared.edits.dir</name>
        <value>qjournal://node-0001:8485;node-0002:8485;node-0003:8485/mycluster</value>
    </property>
    <property>
        <name>dfs.journalnode.edits.dir</name>
        <value>/var/hadoop/journal</value>
    </property>
    <property>
        <name>dfs.client.failover.proxy.provider.mycluster</name>
        <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
    </property>
    <property> 
        <name>dfs.ha.fencing.methods</name>
        <value>sshfence</value>
    </property>
    <property>
        <name>dfs.ha.fencing.ssh.private-key-files</name>
        <value>/root/.ssh/id_rsa</value>
    </property>
    <property>
        <name>dfs.ha.automatic-failover.enabled</name>
        <value>true</value>
    </property>
    <property>
        <name>dfs.replication</name>
        <value>2</value>
    </property>
    <property>
        <name>dfs.hosts.exclude</name>
        <value>/usr/local/hadoop/etc/hadoop/exclude</value>
    </property>
</configuration>

5、配置 mapred-site.xml

[root@hadoop1 ~]# vim /usr/local/hadoop/etc/hadoop/mapred-site.xml
<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
</configuration>

6、配置 yarn-site.xml

[root@hadoop1 ~]# vim /usr/local/hadoop/etc/hadoop/yarn-site.xml
<configuration>
    <property>
        <name>yarn.resourcemanager.ha.enabled</name>
        <value>true</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>node-0001:2181,node-0002:2181,node-0003:2181</value>
    </property>
    <property>
        <name>yarn.resourcemanager.cluster-id</name>
        <value>yarn-ha</value>
    </property>
    <property>
        <name>yarn.resourcemanager.ha.rm-ids</name>
        <value>rm1,rm2</value>
    </property>
    <property>
        <name>yarn.resourcemanager.hostname.rm1</name>
        <value>hadoop1</value>
    </property>
    <property>
        <name>yarn.resourcemanager.hostname.rm2</name>
        <value>hadoop2</value>
    </property>
<!-- Site specific YARN configuration properties -->
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
</configuration>

初始化启动集群

1、重启机器、在 node-0001，node-0002，node-0003 启动 zookeeper

[root@node-0001 ~]# /usr/local/zookeeper/bin/zkServer.sh start
#----------------------------------------------------------------------------------------
[root@node-0002 ~]# /usr/local/zookeeper/bin/zkServer.sh start
#----------------------------------------------------------------------------------------
[root@node-0003 ~]# /usr/local/zookeeper/bin/zkServer.sh start
#----------------------------------------------------------------------------------------
[root@hadoop1 ~]# zkstats node-{0001..0003}
           node-0001 Mode: follower
           node-0002 Mode: leader
           node-0003 Mode: follower

2、清空实验数据并同步配置文件（hadoop1 上执行）

[root@hadoop1 ~]# rm -rf /var/hadoop/* /usr/local/hadoop/logs
[root@hadoop1 ~]# for i in hadoop2 node-{0001..0003};do
                      rsync -av /etc/hosts ${i}:/etc/
                      rsync -aXSH --delete /var/hadoop ${i}:/var/
                      rsync -aXSH --delete /usr/local/hadoop ${i}:/usr/local/
                  done

3、在 node-0001，node-0002，node-0003 启动 journalnode 服务

[root@node-0001 ~]# /usr/local/hadoop/sbin/hadoop-daemon.sh start journalnode
[root@node-0001 ~]# jps
1037 JournalNode
#----------------------------------------------------------------------------------------
[root@node-0002 ~]# /usr/local/hadoop/sbin/hadoop-daemon.sh start journalnode
#----------------------------------------------------------------------------------------
[root@node-0003 ~]# /usr/local/hadoop/sbin/hadoop-daemon.sh start journalnode

4、初始化（hadoop1 上执行）

[root@hadoop1 ~]# /usr/local/hadoop/bin/hdfs zkfc -formatZK
[root@hadoop1 ~]# /usr/local/hadoop/bin/hdfs namenode -format
[root@hadoop1 ~]# /usr/local/hadoop/bin/hdfs namenode -initializeSharedEdits
[root@hadoop1 ~]# rsync -aXSH --delete /var/hadoop/dfs hadoop2:/var/hadoop/

5、停止在 node-0001，node-0002，node-0003 上的 journalnode 服务

[root@node-0001 ~]# /usr/local/hadoop/sbin/hadoop-daemon.sh stop journalnode
#----------------------------------------------------------------------------------------
[root@node-0002 ~]# /usr/local/hadoop/sbin/hadoop-daemon.sh stop journalnode
#----------------------------------------------------------------------------------------
[root@node-0003 ~]# /usr/local/hadoop/sbin/hadoop-daemon.sh stop journalnode

6、启动集群

#-------------------- 下面这条命令在 hadoop1 上执行 ----------------------------------------
[root@hadoop1 ~]# /usr/local/hadoop/sbin/start-all.sh
#-------------------- 下面这条命令在 hadoop2 上执行 ----------------------------------------
[root@hadoop2 ~]# /usr/local/hadoop/sbin/yarn-daemon.sh start resourcemanager

验证集群

[root@hadoop1 ~]# /usr/local/hadoop/bin/hdfs haadmin -getServiceState nn1
[root@hadoop1 ~]# /usr/local/hadoop/bin/hdfs haadmin -getServiceState nn2
[root@hadoop1 ~]# /usr/local/hadoop/bin/yarn rmadmin -getServiceState rm1
[root@hadoop1 ~]# /usr/local/hadoop/bin/yarn rmadmin -getServiceState rm2
[root@hadoop1 ~]# /usr/local/hadoop/bin/hdfs dfsadmin -report
[root@hadoop1 ~]# /usr/local/hadoop/bin/yarn node -list

Hadoop集群及组件

zookeeper集群

集群安装

zookeeper集群管理

kafka集群

kafka安装

Hadoop高可用集群

角色与配置

环境初始化

集群配置文件

初始化启动集群

验证集群

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