Hadoop-2.7.2+Zookeeper-3.4.6完全分布式环境搭建
一.版本组件名
版本
说明
JRE
java version "1.7.0_67"
Java(TM) SE Runtime Environment (build 1.7.0_67-b01)
Java HotSpot(TM) 64-Bit Server VM (build 24.65-b04, mixed mode)
Hadoop
hadoop-2.7.2.tar.gz
主程序包
Zookeeper
zookeeper-3.4.6.tar.gz
热切,Yarn 存储数据使用的协调服务
二.主机规划
IP
Host 及安装软件
部署模块
进程
172.16.101.55
sht-sgmhadoopnn-01
hadoop
NameNode
ResourceManager
NameNode
DFSZKFailoverController
ResourceManager
172.16.101.56
sht-sgmhadoopnn-02
hadoop
NameNode
ResourceManager
NameNode
DFSZKFailoverController
ResourceManager
172.16.101.58
sht-sgmhadoopdn-01
hadoop、zookeeper
DataNode
NodeManager
Zookeeper
DataNode
NodeManager
JournalNode
QuorumPeerMain
172.16.101.59
sht-sgmhadoopdn-02
Hadoop、zookeeper
DataNode
NodeManager
Zookeeper
DataNode
NodeManager
JournalNode
QuorumPeerMain
172.16.101.60
sht-sgmhadoopdn-03
Hadoop、zookeeper
DataNode
NodeManager
Zookeeper
DataNode
NodeManager
JournalNode
QuorumPeerMain
三.目录规划
名称
路径
$HADOOP_HOME
/hadoop/hadoop-2.7.2
Data
$ HADOOP_HOME/data
Log
$ HADOOP_HOME/logs
四.常用脚本及命令
1.启动集群
start-dfs.sh
start-yarn.sh
2.关闭集群
stop-yarn.sh
stop-dfs.sh
3.监控集群
hdfs dfsadmin -report
4.单个进程启动/关闭
hadoop-daemon.sh start|stop namenode|datanode| journalnode
yarn-daemon.sh start |stop resourcemanager|nodemanager
http://blog.chinaunix.net/uid-25723371-id-4943894.html
五.环境准备
1 .设置ip地址(5台)
点击(此处)折叠或打开
DEVICE="eth0"
BOOTPROTO="static"
DNS1="172.16.101.63"
DNS2="172.16.101.64"
GATEWAY="172.16.101.1"
HWADDR="00:50:56:82:50:1E"
IPADDR="172.16.101.55"
NETMASK="255.255.255.0"
NM_CONTROLLED="yes"
ONBOOT="yes"
TYPE="Ethernet"
UUID="257c075f-6c6a-47ef-a025-e625367cbd9c"
执行命令: service network restart
验证:ifconfig
2 .关闭防火墙(5台)
执行命:service iptables stop
验证:service iptables status
3.关闭防火墙的自动运行(5台)
执行命令:chkconfig iptables off
验证:chkconfig --list | grep iptables
4 设置主机名(5台)
执行命令
(1)hostname sht-sgmhadoopnn-01
(2)vi /etc/sysconfig/network
点击(此处)折叠或打开
NETWORKING=yes
HOSTNAME=sht-sgmhadoopnn-01.telenav.cn
GATEWAY=172.16.101.1
5 ip与hostname绑定(5台)
点击(此处)折叠或打开
127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4
::1 localhost localhost.localdomain localhost6 localhost6.localdomain6
172.16.101.55 sht-sgmhadoopnn-01.telenav.cn sht-sgmhadoopnn-01
172.16.101.56 sht-sgmhadoopnn-02.telenav.cn sht-sgmhadoopnn-02
172.16.101.58 sht-sgmhadoopdn-01.telenav.cn sht-sgmhadoopdn-01
172.16.101.59 sht-sgmhadoopdn-02.telenav.cn sht-sgmhadoopdn-02
172.16.101.60 sht-sgmhadoopdn-03.telenav.cn sht-sgmhadoopdn-03
验证:ping sht-sgmhadoopnn-01
6. 设置5台machines,SSH互相通信
http://blog.itpub.net/30089851/viewspace-1992210/
7 .安装JDK(5台)
点击(此处)折叠或打开
[root@sht-sgmhadoopnn-01 ~]# cd /usr/java
[root@sht-sgmhadoopnn-01 java]# cp /tmp/jdk-7u67-linux-x64.gz ./
[root@sht-sgmhadoopnn-01 java]# tar -xzvf jdk-7u67-linux-x64.gz
(2)vi /etc/profile 增加内容如下:
export JAVA_HOME=/usr/java/jdk1.7.0_67
export HADOOP_HOME=/hadoop/hadoop-2.7.2
export ZOOKEEPER_HOME=/hadoop/zookeeper
export PATH=.:$HADOOP_HOME/bin:$JAVA_HOME/bin:$ZOOKEEPER_HOME/bin:$PATH
#先把HADOOP_HOME, ZOOKEEPER_HOME配置了
#本次实验机器已经配置好了jdk1.7.0_67-cloudera
(3)执行 source /etc/profile
(4)验证:java –version
8.创建文件夹(5台)
mkdir /hadoop
六.安装Zookeeper
sht-sgmhadoopdn-01/02/03
1.下载解压zookeeper-3.4.6.tar.gz
点击(此处)折叠或打开
[root@sht-sgmhadoopdn-02 tmp]# wget http://mirror.bit.edu.cn/apache/zookeeper/zookeeper-3.4.6/zookeeper-3.4.6.tar.gz
[root@sht-sgmhadoopdn-03 tmp]# wget http://mirror.bit.edu.cn/apache/zookeeper/zookeeper-3.4.6/zookeeper-3.4.6.tar.gz
[root@sht-sgmhadoopdn-01 tmp]# tar -xvf zookeeper-3.4.6.tar.gz
[root@sht-sgmhadoopdn-02 tmp]# tar -xvf zookeeper-3.4.6.tar.gz
[root@sht-sgmhadoopdn-03 tmp]# tar -xvf zookeeper-3.4.6.tar.gz
[root@sht-sgmhadoopdn-01 tmp]# mv zookeeper-3.4.6 /hadoop/zookeeper
[root@sht-sgmhadoopdn-02 tmp]# mv zookeeper-3.4.6 /hadoop/zookeeper
[root@sht-sgmhadoopdn-03 tmp]# mv zookeeper-3.4.6 /hadoop/zookeeper
2.修改配置
点击(此处)折叠或打开
[root@sht-sgmhadoopdn-01 conf]# cp zoo_sample.cfg zoo.cfg
[root@sht-sgmhadoopdn-01 conf]# vi zoo.cfg
修改dataDir
dataDir=/hadoop/zookeeper/data
添加下面三行
server.1=sht-sgmhadoopdn-01:2888:3888
server.2=sht-sgmhadoopdn-02:2888:3888
server.3=sht-sgmhadoopdn-03:2888:3888
[root@sht-sgmhadoopdn-01 conf]# cd ../
[root@sht-sgmhadoopdn-01 zookeeper]# mkdir data
[root@sht-sgmhadoopdn-01 zookeeper]# touch data/myid
[root@sht-sgmhadoopdn-01 zookeeper]# echo 1 > data/myid
[root@sht-sgmhadoopdn-01 zookeeper]# more data/myid
1
## sht-sgmhadoopdn-02/03,也修改配置,就如下不同
[root@sht-sgmhadoopdn-02 zookeeper]# echo 2 > data/myid
[root@sht-sgmhadoopdn-03 zookeeper]# echo 3 > data/myid
七.安装Hadoop(HDFS HA+YARN HA)
#step3~7,用SecureCRT ssh 到 linux的环境中,假如copy 内容从window 到 linux 中,中文乱码,请参照修改http://www.cnblogs.com/qi09/archive/2013/02/05/2892922.html
1.下载解压hadoop-2.7.2.tar.gz
点击(此处)折叠或打开
[root@sht-sgmhadoopdn-01 conf]# cp zoo_sample.cfg zoo.cfg
[root@sht-sgmhadoopdn-01 conf]# vi zoo.cfg
修改dataDir
dataDir=/hadoop/zookeeper/data
添加下面三行
server.1=sht-sgmhadoopdn-01:2888:3888
server.2=sht-sgmhadoopdn-02:2888:3888
server.3=sht-sgmhadoopdn-03:2888:3888
[root@sht-sgmhadoopdn-01 conf]# cd ../
[root@sht-sgmhadoopdn-01 zookeeper]# mkdir data
[root@sht-sgmhadoopdn-01 zookeeper]# touch data/myid
[root@sht-sgmhadoopdn-01 zookeeper]# echo 1 > data/myid
[root@sht-sgmhadoopdn-01 zookeeper]# more data/myid
1
## sht-sgmhadoopdn-02/03,也修改配置,就如下不同
[root@sht-sgmhadoopdn-02 zookeeper]# echo 2 > data/myid
[root@sht-sgmhadoopdn-03 zookeeper]# echo 3 > data/myid
2.修改$HADOOP_HOME/etc/hadoop/hadoop-env.sh
export JAVA_HOME="/usr/java/jdk1.7.0_67-cloudera"
3.修改$HADOOP_HOME/etc/hadoop/core-site.xml
点击(此处)折叠或打开
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<!--Yarn 需要使用 fs.defaultFS 指定NameNode URI -->
<property>
<name>fs.defaultFS</name>
<value>hdfs://mycluster</value>
</property>
<!--HDFS超级用户 -->
<property>
<name>dfs.permissions.superusergroup</name>
<value>root</value>
</property>
<!--==============================Trash机制======================================= -->
<property>
<!--多长时间创建CheckPoint NameNode截点上运行的CheckPointer 从Current文件夹创建CheckPoint;默认：0 由fs.trash.interval项指定 -->
<name>fs.trash.checkpoint.interval</name>
<value>0</value>
</property>
<property>
<!--多少分钟.Trash下的CheckPoint目录会被删除,该配置服务器设置优先级大于客户端，默认：0 不删除 -->
<name>fs.trash.interval</name>
<value>1440</value>
</property>
</configuration>
4.修改$HADOOP_HOME/etc/hadoop/hdfs-site.xml
点击(此处)折叠或打开
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<!--开启web hdfs -->
<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/hadoop/hadoop-2.7.2/data/dfs/name</value>
<description> namenode 存放name table(fsimage)本地目录（需要修改）</description>
</property>
<property>
<name>dfs.namenode.edits.dir</name>
<value>${dfs.namenode.name.dir}</value>
<description>namenode粗放 transaction file(edits)本地目录（需要修改）</description>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/hadoop/hadoop-2.7.2/data/dfs/data</value>
<description>datanode存放block本地目录（需要修改）</description>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<!-- 块大小 （默认） -->
<property>
<name>dfs.blocksize</name>
<value>268435456</value>
</property>
<!--======================================================================= -->
<!--HDFS高可用配置 -->
<!--nameservices逻辑名 -->
<property>
<name>dfs.nameservices</name>
<value>mycluster</value>
</property>
<property>
<!--设置NameNode IDs 此版本最大只支持两个NameNode -->
<name>dfs.ha.namenodes.mycluster</name>
<value>nn1,nn2</value>
</property>
<!-- Hdfs HA: dfs.namenode.rpc-address.[nameservice ID] rpc 通信地址 -->
<property>
<name>dfs.namenode.rpc-address.mycluster.nn1</name>
<value>sht-sgmhadoopnn-01:8020</value>
</property>
<property>
<name>dfs.namenode.rpc-address.mycluster.nn2</name>
<value>sht-sgmhadoopnn-02:8020</value>
</property>
<!-- Hdfs HA: dfs.namenode.http-address.[nameservice ID] http 通信地址 -->
<property>
<name>dfs.namenode.http-address.mycluster.nn1</name>
<value>sht-sgmhadoopnn-01:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.mycluster.nn2</name>
<value>sht-sgmhadoopnn-02:50070</value>
</property>
<!--==================Namenode editlog同步 ============================================ -->
<!--保证数据恢复 -->
<property>
<name>dfs.journalnode.http-address</name>
<value>0.0.0.0:8480</value>
</property>
<property>
<name>dfs.journalnode.rpc-address</name>
<value>0.0.0.0:8485</value>
</property>
<property>
<!--设置JournalNode服务器地址，QuorumJournalManager 用于存储editlog -->
<!--格式：qjournal://<host1:port1>;<host2:port2>;<host3:port3>/<journalId> 端口同journalnode.rpc-address -->
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://sht-sgmhadoopdn-01:8485;sht-sgmhadoopdn-02:8485;sht-sgmhadoopdn-03:8485/mycluster</value>
</property>
<property>
<!--JournalNode存放数据地址 -->
<name>dfs.journalnode.edits.dir</name>
<value>/hadoop/hadoop-2.7.2/data/dfs/jn</value>
</property>
<!--==================DataNode editlog同步 ============================================ -->
<property>
<!--DataNode,Client连接Namenode识别选择Active NameNode策略 -->
<name>dfs.client.failover.proxy.provider.mycluster</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<!--==================Namenode fencing：=============================================== -->
<!--Failover后防止停掉的Namenode启动，造成两个服务 -->
<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>
<!--多少milliseconds 认为fencing失败 -->
<name>dfs.ha.fencing.ssh.connect-timeout</name>
<value>30000</value>
</property>
<!--==================NameNode auto failover base ZKFC and Zookeeper====================== -->
<!--开启基于Zookeeper及ZKFC进程的自动备援设置,监视进程是否死掉 -->
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
<property>
<name>ha.zookeeper.quorum</name>
<value>sht-sgmhadoopdn-01:2181,sht-sgmhadoopdn-02:2181,sht-sgmhadoopdn-03:2181</value>
</property>
<property>
<!--指定ZooKeeper超时间隔，单位毫秒 -->
<name>ha.zookeeper.session-timeout.ms</name>
<value>2000</value>
</property>
</configuration>
5.修改$HADOOP_HOME/etc/hadoop/yarn-env.sh
#Yarn Daemon Options
#export YARN_RESOURCEMANAGER_OPTS
#export YARN_NODEMANAGER_OPTS
#export YARN_PROXYSERVER_OPTS
#export HADOOP_JOB_HISTORYSERVER_OPTS
#Yarn Logs
export YARN_LOG_DIR="/hadoop/hadoop-2.7.2/logs"
6.修改$HADOOP_HOEM/etc/hadoop/mapred-site.xml
点击(此处)折叠或打开
[root@sht-sgmhadoopnn-01 hadoop]# vi mapred-site.xml
<configuration>
<!-- 配置 MapReduce Applications -->
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<!-- JobHistory Server ============================================================== -->
<!-- 配置 MapReduce JobHistory Server 地址 ，默认: 0.0.0.0:10020 -->
<property>
<name>mapreduce.jobhistory.address</name>
<value>sht-sgmhadoopnn-01:10020</value>
</property>
<!-- 配置 MapReduce JobHistory Server web ui 地址， 默认: 0.0.0.0:19888 -->
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>sht-sgmhadoopnn-01:19888</value>
</property>
</configuration>
7.修改$HADOOP_HOME/etc/hadoop/yarn-site.xml
点击(此处)折叠或打开
<!-- nodemanager 配置 ================================================= -->
<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>
<description>Address where the localizer IPC is.</description>
<name>yarn.nodemanager.localizer.address</name>
<value>0.0.0.0:23344</value>
</property>
<property>
<description>NM Webapp address.</description>
<name>yarn.nodemanager.webapp.address</name>
<value>0.0.0.0:23999</value>
</property>
<!-- HA 配置 =============================================================== -->
<!-- Resource Manager Configs -->
<property>
<name>yarn.resourcemanager.connect.retry-interval.ms</name>
<value>2000</value>
</property>
<property>
<name>yarn.resourcemanager.ha.enabled</name>
<value>true</value>
</property>
<property>
<name>yarn.resourcemanager.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
<!-- 使嵌入式自动故障转移。HA环境启动，与 ZKRMStateStore 配合 处理fencing -->
<property>
<name>yarn.resourcemanager.ha.automatic-failover.embedded</name>
<value>true</value>
</property>
<!-- 集群名称，确保HA选举时对应的集群 -->
<property>
<name>yarn.resourcemanager.cluster-id</name>
<value>yarn-cluster</value>
</property>
<property>
<name>yarn.resourcemanager.ha.rm-ids</name>
<value>rm1,rm2</value>
</property>
<!--这里RM主备结点需要单独指定,（可选）
<property>
<name>yarn.resourcemanager.ha.id</name>
<value>rm2</value>
</property>
-->
<property>
<name>yarn.resourcemanager.scheduler.class</name>
<value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value>
</property>
<property>
<name>yarn.resourcemanager.recovery.enabled</name>
<value>true</value>
</property>
<property>
<name>yarn.app.mapreduce.am.scheduler.connection.wait.interval-ms</name>
<value>5000</value>
</property>
<!-- ZKRMStateStore 配置 -->
<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>sht-sgmhadoopdn-01:2181,sht-sgmhadoopdn-02:2181,sht-sgmhadoopdn-03:2181</value>
</property>
<property>
<name>yarn.resourcemanager.zk.state-store.address</name>
<value>sht-sgmhadoopdn-01:2181,sht-sgmhadoopdn-02:2181,sht-sgmhadoopdn-03:2181</value>
</property>
<!-- Client访问RM的RPC地址 (applications manager interface) -->
<property>
<name>yarn.resourcemanager.address.rm1</name>
<value>sht-sgmhadoopnn-01:23140</value>
</property>
<property>
<name>yarn.resourcemanager.address.rm2</name>
<value>sht-sgmhadoopnn-02:23140</value>
</property>
<!-- AM访问RM的RPC地址(scheduler interface) -->
<property>
<name>yarn.resourcemanager.scheduler.address.rm1</name>
<value>sht-sgmhadoopnn-01:23130</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address.rm2</name>
<value>sht-sgmhadoopnn-02:23130</value>
</property>
<!-- RM admin interface -->
<property>
<name>yarn.resourcemanager.admin.address.rm1</name>
<value>sht-sgmhadoopnn-01:23141</value>
</property>
<property>
<name>yarn.resourcemanager.admin.address.rm2</name>
<value>sht-sgmhadoopnn-02:23141</value>
</property>
<!--NM访问RM的RPC端口 -->
<property>
<name>yarn.resourcemanager.resource-tracker.address.rm1</name>
<value>sht-sgmhadoopnn-01:23125</value>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address.rm2</name>
<value>sht-sgmhadoopnn-02:23125</value>
</property>
<!-- RM web application 地址 -->
<property>
<name>yarn.resourcemanager.webapp.address.rm1</name>
<value>sht-sgmhadoopnn-01:8088</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.address.rm2</name>
<value>sht-sgmhadoopnn-02:8088</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.https.address.rm1</name>
<value>sht-sgmhadoopnn-01:23189</value>
</property>
<property>
<name>yarn.resourcemanager.webapp.https.address.rm2</name>
<value>sht-sgmhadoopnn-02:23189</value>
</property>
</configuration>
8.修改slaves
[root@sht-sgmhadoopnn-01 hadoop]# vi slaves
sht-sgmhadoopdn-01
sht-sgmhadoopdn-02
sht-sgmhadoopdn-03
9.分发文件夹
[root@sht-sgmhadoopnn-01 hadoop]# scp -r hadoop-2.7.2 root@sht-sgmhadoopnn-02:/hadoop
[root@sht-sgmhadoopnn-01 hadoop]# scp -r hadoop-2.7.2 root@sht-sgmhadoopdn-01:/hadoop
[root@sht-sgmhadoopnn-01 hadoop]# scp -r hadoop-2.7.2 root@sht-sgmhadoopdn-02:/hadoop
[root@sht-sgmhadoopnn-01 hadoop]# scp -r hadoop-2.7.2 root@sht-sgmhadoopdn-03:/hadoop
八.启动集群
另外一种启动方式:http://www.micmiu.com/bigdata/hadoop/hadoop2-cluster-ha-setup/
1.启动zookeeper
点击(此处)折叠或打开
[root@sht-sgmhadoopdn-01 bin]# ./zkServer.sh start
JMX enabled by default
Using config: /hadoop/zookeeper/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[root@sht-sgmhadoopdn-01 bin]# jps
2073 QuorumPeerMain
2106 Jps
[root@sht-sgmhadoopdn-02 bin]# ./zkServer.sh start
JMX enabled by default
Using config: /hadoop/zookeeper/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[root@sht-sgmhadoopdn-02 bin]# jps
2073 QuorumPeerMain
2106 Jps
[root@sht-sgmhadoopdn-03 bin]# ./zkServer.sh start
JMX enabled by default
Using config: /hadoop/zookeeper/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[root@sht-sgmhadoopdn-03 bin]# jps
2073 QuorumPeerMain
2106 Jps
2.启动hadoop(HDFS+YARN)
a.格式化前,先在journalnode 节点机器上先启动JournalNode进程
点击(此处)折叠或打开
[root@sht-sgmhadoopdn-01 sbin]# hadoop-daemon.sh start journalnode
starting journalnode, logging to /hadoop/hadoop-2.7.2/logs/hadoop-root-journalnode-sht-sgmhadoopdn-03.telenav.cn.out
[root@sht-sgmhadoopdn-03 sbin]# jps
16722 JournalNode
16775 Jps
15519 QuorumPeerMain
[root@sht-sgmhadoopdn-02 ~]# cd /hadoop/hadoop-2.7.2/sbin
[root@sht-sgmhadoopdn-02 sbin]# hadoop-daemon.sh start journalnode
starting journalnode, logging to /hadoop/hadoop-2.7.2/logs/hadoop-root-journalnode-sht-sgmhadoopdn-03.telenav.cn.out
[root@sht-sgmhadoopdn-03 sbin]# jps
16722 JournalNode
16775 Jps
15519 QuorumPeerMain
[root@sht-sgmhadoopdn-03 ~]# cd /hadoop/hadoop-2.7.2/sbin
[root@sht-sgmhadoopdn-03 sbin]# hadoop-daemon.sh start journalnode
starting journalnode, logging to /hadoop/hadoop-2.7.2/logs/hadoop-root-journalnode-sht-sgmhadoopdn-03.telenav.cn.out
[root@sht-sgmhadoopdn-03 sbin]# jps
16722 JournalNode
16775 Jps
15519 QuorumPeerMain
b.NameNode格式化
点击(此处)折叠或打开
16/02/25 14:05:04 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG: host = sht-sgmhadoopnn-01.telenav.cn/172.16.101.55
STARTUP_MSG: args = [-format]
STARTUP_MSG: version = 2.7.2
STARTUP_MSG: classpath =
……………..
………………
16/02/25 14:05:07 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
16/02/25 14:05:07 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0
16/02/25 14:05:07 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension = 30000
16/02/25 14:05:07 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10
16/02/25 14:05:07 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10
16/02/25 14:05:07 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25
16/02/25 14:05:07 INFO namenode.FSNamesystem: Retry cache on namenode is enabled
16/02/25 14:05:07 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis
16/02/25 14:05:07 INFO util.GSet: Computing capacity for map NameNodeRetryCache
16/02/25 14:05:07 INFO util.GSet: VM type = 64-bit
16/02/25 14:05:07 INFO util.GSet: 0.029999999329447746% max memory 889 MB = 273.1 KB
16/02/25 14:05:07 INFO util.GSet: capacity = 2^15 = 32768 entries
16/02/25 14:05:08 INFO namenode.FSImage: Allocated new BlockPoolId: BP-1182930464-172.16.101.55-1456380308394
16/02/25 14:05:08 INFO common.Storage: Storage directory /hadoop/hadoop-2.7.2/data/dfs/name has been successfully formatted.
16/02/25 14:05:08 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
16/02/25 14:05:08 INFO util.ExitUtil: Exiting with status 0
16/02/25 14:05:08 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at sht-sgmhadoopnn-01.telenav.cn/172.16.101.55
************************************************************/
c.同步NameNode元数据
点击(此处)折叠或打开
主要是：dfs.namenode.name.dir，dfs.namenode.edits.dir还应该确保共享存储目录下(dfs.namenode.shared.edits.dir ) 包含NameNode 所有的元数据。
[root@sht-sgmhadoopnn-01 hadoop-2.7.2]# pwd
/hadoop/hadoop-2.7.2
[root@sht-sgmhadoopnn-01 hadoop-2.7.2]# scp -r data/ root@sht-sgmhadoopnn-02:/hadoop/hadoop-2.7.2
seen_txid 100% 2 0.0KB/s 00:00
fsimage_0000000000000000000 100% 351 0.3KB/s 00:00
fsimage_0000000000000000000.md5 100% 62 0.1KB/s 00:00
VERSION 100% 205 0.2KB/s 00:00
d.初始化ZFCK
点击(此处)折叠或打开
……………..
……………..
16/02/25 14:14:41 INFO zookeeper.ZooKeeper: Client environment:user.home=/root
16/02/25 14:14:41 INFO zookeeper.ZooKeeper: Client environment:user.dir=/hadoop/hadoop-2.7.2/bin
16/02/25 14:14:41 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=sht-sgmhadoopdn-01:2181,sht-sgmhadoopdn-02:2181,sht-sgmhadoopdn-03:2181 sessionTimeout=2000 watcher=org.apache.hadoop.ha.ActiveStandbyElector$WatcherWithClientRef@5f4298a5
16/02/25 14:14:41 INFO zookeeper.ClientCnxn: Opening socket connection to server sht-sgmhadoopdn-01.telenav.cn/172.16.101.58:2181. Will not attempt to authenticate using SASL (unknown error)
16/02/25 14:14:41 INFO zookeeper.ClientCnxn: Socket connection established to sht-sgmhadoopdn-01.telenav.cn/172.16.101.58:2181, initiating session
16/02/25 14:14:42 INFO zookeeper.ClientCnxn: Session establishment complete on server sht-sgmhadoopdn-01.telenav.cn/172.16.101.58:2181, sessionid = 0x15316c965750000, negotiated timeout = 4000
16/02/25 14:14:42 INFO ha.ActiveStandbyElector: Session connected.
16/02/25 14:14:42 INFO ha.ActiveStandbyElector: Successfully created /hadoop-ha/mycluster in ZK.
16/02/25 14:14:42 INFO zookeeper.ClientCnxn: EventThread shut down
16/02/25 14:14:42 INFO zookeeper.ZooKeeper: Session: 0x15316c965750000 closed
e.启动HDFS 系统
集群启动,在sht-sgmhadoopnn-01执行start-dfs.sh
集群关闭,在sht-sgmhadoopnn-01执行stop-dfs.sh
#####集群启动############
点击(此处)折叠或打开
16/02/25 14:21:42 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Starting namenodes on [sht-sgmhadoopnn-01 sht-sgmhadoopnn-02]
sht-sgmhadoopnn-01: starting namenode, logging to /hadoop/hadoop-2.7.2/logs/hadoop-root-namenode-sht-sgmhadoopnn-01.telenav.cn.out
sht-sgmhadoopnn-02: starting namenode, logging to /hadoop/hadoop-2.7.2/logs/hadoop-root-namenode-sht-sgmhadoopnn-02.telenav.cn.out
sht-sgmhadoopdn-01: starting datanode, logging to /hadoop/hadoop-2.7.2/logs/hadoop-root-datanode-sht-sgmhadoopdn-01.telenav.cn.out
sht-sgmhadoopdn-02: starting datanode, logging to /hadoop/hadoop-2.7.2/logs/hadoop-root-datanode-sht-sgmhadoopdn-02.telenav.cn.out
sht-sgmhadoopdn-03: starting datanode, logging to /hadoop/hadoop-2.7.2/logs/hadoop-root-datanode-sht-sgmhadoopdn-03.telenav.cn.out
Starting journal nodes [sht-sgmhadoopdn-01 sht-sgmhadoopdn-02 sht-sgmhadoopdn-03]
sht-sgmhadoopdn-01: journalnode running as process 6348. Stop it first.
sht-sgmhadoopdn-03: journalnode running as process 16722. Stop it first.
sht-sgmhadoopdn-02: journalnode running as process 7197. Stop it first.
16/02/25 14:21:56 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Starting ZK Failover Controllers on NN hosts [sht-sgmhadoopnn-01 sht-sgmhadoopnn-02]
sht-sgmhadoopnn-01: starting zkfc, logging to /hadoop/hadoop-2.7.2/logs/hadoop-root-zkfc-sht-sgmhadoopnn-01.telenav.cn.out
sht-sgmhadoopnn-02: starting zkfc, logging to /hadoop/hadoop-2.7.2/logs/hadoop-root-zkfc-sht-sgmhadoopnn-02.telenav.cn.out
You have mail in /var/spool/mail/root
####单进程启动###########
NameNode(sht-sgmhadoopnn-01, sht-sgmhadoopnn-02):
hadoop-daemon.sh start namenode
DataNode(sht-sgmhadoopdn-01, sht-sgmhadoopdn-02, sht-sgmhadoopdn-03):
hadoop-daemon.sh start datanode
JournamNode(sht-sgmhadoopdn-01, sht-sgmhadoopdn-02, sht-sgmhadoopdn-03):
hadoop-daemon.sh start journalnode
ZKFC(sht-sgmhadoopnn-01, sht-sgmhadoopnn-02):
hadoop-daemon.sh start zkfc
f.验证namenode,datanode,zkfc
1) 进程
点击(此处)折叠或打开
12712 Jps
12593 DFSZKFailoverController
12278 NameNode
[root@sht-sgmhadoopnn-02 ~]# jps
29714 NameNode
29849 DFSZKFailoverController
30229 Jps
[root@sht-sgmhadoopdn-01 ~]# jps
6348 JournalNode
8775 Jps
559 QuorumPeerMain
8509 DataNode
[root@sht-sgmhadoopdn-02 ~]# jps
9430 Jps
9160 DataNode
7197 JournalNode
2073 QuorumPeerMain
[root@sht-sgmhadoopdn-03 ~]# jps
16722 JournalNode
17369 Jps
15519 QuorumPeerMain
17214 DataNode
2) 页面
sht-sgmhadoopnn-01:
sht-sgmhadoopnn-02:
g.启动YARN运算框架
#####集群启动############
1) sht-sgmhadoopnn-01启动Yarn，命令所在目录：$HADOOP_HOME/sbin
点击(此处)折叠或打开
starting yarn daemons
starting resourcemanager, logging to /hadoop/hadoop-2.7.2/logs/yarn-root-resourcemanager-sht-sgmhadoopnn-01.telenav.cn.out
sht-sgmhadoopdn-03: starting nodemanager, logging to /hadoop/hadoop-2.7.2/logs/yarn-root-nodemanager-sht-sgmhadoopdn-03.telenav.cn.out
sht-sgmhadoopdn-02: starting nodemanager, logging to /hadoop/hadoop-2.7.2/logs/yarn-root-nodemanager-sht-sgmhadoopdn-02.telenav.cn.out
sht-sgmhadoopdn-01: starting nodemanager, logging to /hadoop/hadoop-2.7.2/logs/yarn-root-nodemanager-sht-sgmhadoopdn-01.telenav.cn.out
2) sht-sgmhadoopnn-02备机启动RM
点击(此处)折叠或打开
starting resourcemanager, logging to /hadoop/hadoop-2.7.2/logs/yarn-root-resourcemanager-sht-sgmhadoopnn-02.telenav.cn.out
####单进程启动###########
1) ResourceManager(sht-sgmhadoopnn-01, sht-sgmhadoopnn-02)
yarn-daemon.sh start resourcemanager
2) NodeManager(sht-sgmhadoopdn-01, sht-sgmhadoopdn-02, sht-sgmhadoopdn-03)
yarn-daemon.sh start nodemanager
######关闭#############
[root@sht-sgmhadoopnn-01 sbin]# stop-yarn.sh
#包含namenode的resourcemanager进程，datanode的nodemanager进程
[root@sht-sgmhadoopnn-02 sbin]# yarn-daemon.sh stop resourcemanager
h.验证resourcemanager,nodemanager
1) 进程
点击(此处)折叠或打开
13611 Jps
12593 DFSZKFailoverController
12278 NameNode
13384 ResourceManager
[root@sht-sgmhadoopnn-02 sbin]# jps
32265 ResourceManager
32304 Jps
29714 NameNode
29849 DFSZKFailoverController
[root@sht-sgmhadoopdn-01 ~]# jps
6348 JournalNode
559 QuorumPeerMain
8509 DataNode
10286 NodeManager
10423 Jps
[root@sht-sgmhadoopdn-02 ~]# jps
9160 DataNode
10909 NodeManager
11937 Jps
7197 JournalNode
2073 QuorumPeerMain
[root@sht-sgmhadoopdn-03 ~]# jps
18031 Jps
16722 JournalNode
17710 NodeManager
15519 QuorumPeerMain
17214 DataNode
2) 页面
ResourceManger（Active）：http://172.16.101.55:8088
ResourceManger（Standby）：http://172.16.101.56:8088/cluster/cluster
九.监控集群
[root@sht-sgmhadoopnn-01 ~]# hdfs dfsadmin -report
十.附件及参考
#http://archive-primary.cloudera.com/cdh5/cdh/5/hadoop-2.6.0-cdh5.5.2.tar.gz
#http://archive-primary.cloudera.com/cdh5/cdh/5/zookeeper-3.4.5-cdh5.5.2.tar.gz
hadoop : http://mirror.bit.edu.cn/apache/hadoop/common/hadoop-2.7.2/hadoop-2.7.2.tar.gz
zookeeper :http://mirror.bit.edu.cn/apache/zookeeper/zookeeper-3.4.6/zookeeper-3.4.6.tar.gz
参考:
Hadoop-2.3.0-cdh5.0.1完全分布式环境搭建(NameNode,ResourceManager HA):
http://blog.itpub.net/30089851/viewspace-1987620/
如何解决这类问题：The string "--" is not permitted within comments:
http://blog.csdn.net/free4294/article/details/38681095
SecureCRT连接linux终端中文显示乱码解决办法:
http://www.cnblogs.com/qi09/archive/2013/02/05/2892922.html
参照:http://blog.itpub.net/30089851/viewspace-1987620/
