1.测试环境

ip 主机名 角色
10.124.147.22 hadoop1 namenode
10.124.147.23 hadoop2 namenode
10.124.147.32 hadoop3 resourcemanager
10.124.147.33 hadoop4 resourcemanager
10.110.92.161 hadoop5 datanode/journalnode
10.110.92.162 hadoop6 datanode
10.122.147.37 hadoop7 datanode

2.配置文件中必备参数

2.1 hdfs-site.xml参数

[hadoop@10-124-147-22 hadoop]$ grep dfs\.host -A10 /usr/local/hadoop/etc/hadoop/hdfs-site.xml
<!-- datanode踢除主机列表文件 -->
<name>dfs.hosts.exclude</name>
<value>/usr/local/hadoop/etc/hadoop/dfs_exclude</value>
</property> <!-- datanode添加主机列表文件-->
<property>
<name>dfs.hosts</name>
<value>/usr/local/hadoop/etc/hadoop/slaves</value>
</property>

2.2 yarn-site.xml参数

[hadoop@10-124-147-22 hadoop]$ grep exclude-path -A10 /usr/local/hadoop/etc/hadoop/yarn-site.xml
<!-- datanode踢除主机列表文件 -->
<name>yarn.resourcemanager.nodes.exclude-path</name>
<value>/usr/local/hadoop/etc/hadoop/dfs_exclude</value>
</property> <!-- datanode添加主机列表文件-->
<property>
<name>yarn.resourcemanager.nodes.include-path</name>
<value>/usr/local/hadoop/etc/hadoop/slaves</value>
</property>

3.踢除现有主机

1.在namenode主机中,将要踢除主机的ip添加到hdfs-site.xml配置文件dfs.hosts.exclude参数指定的文件dfs_exclude

[hadoop@10-124-147-22 hadoop]$ cat /usr/local/hadoop/etc/hadoop/dfs_exclude
10.122.147.37

2.将其copy至hadoop其它主机

[hadoop@10-124-147-22 hadoop]$ for i in {2,3,4,5,6,7};do scp etc/hadoop/dfs_exclude hadoop$i:/usr/local/hadoop/etc/hadoop/;done

3.更新namenode信息

[hadoop@10-124-147-22 hadoop]$ hdfs dfsadmin -refreshNodes
Refresh nodes successful for hadoop1/10.124.147.22:9000
Refresh nodes successful for hadoop2/10.124.147.23:9000

4.查看namenode 状态信息

[hadoop@10-124-147-22 hadoop]$ hdfs dfsadmin -report
Configured Capacity: 1100228980736 (1.00 TB)
Present Capacity: 1087754866688 (1013.05 GB)
DFS Remaining: 1087752667136 (1013.05 GB)
DFS Used: 2199552 (2.10 MB)
DFS Used%: 0.00%
Under replicated blocks: 11
Blocks with corrupt replicas: 0
Missing blocks: 0
Missing blocks (with replication factor 1): 0 -------------------------------------------------
Live datanodes (3): Name: 10.122.147.37:50010 (hadoop7)
Hostname: hadoop7
Decommission Status : Decommission in progress
Configured Capacity: 250831044608 (233.60 GB)
DFS Used: 733184 (716 KB)
Non DFS Used: 1235771392 (1.15 GB)
DFS Remaining: 249594540032 (232.45 GB)
DFS Used%: 0.00%
DFS Remaining%: 99.51%
Configured Cache Capacity: 0 (0 B)
Cache Used: 0 (0 B)
Cache Remaining: 0 (0 B)
Cache Used%: 100.00%
Cache Remaining%: 0.00%
Xceivers: 1
Last contact: Tue Jul 24 10:25:17 CST 2018 Name: 10.110.92.161:50010 (hadoop5)
Hostname: hadoop5
Decommission Status : Normal
以下略

可以看到被踢除主机10.122.147.37的状态变成Decommission in progress,表示集群对存放于该节点的副本正在进行转移。当其变成Decommissioned时,即代表已经结束,相当于已经踢除集群。

同时此状态可以在hdfs的web页面查看

5.更新resourcemananger信息

[hadoop@10-124-147-32 hadoop]$ yarn rmadmin -refreshNodes

更新之后,可以在resourcemanager的web页面查看到Active Nodes 的信息

或者使用命令查看

[hadoop@10-124-147-32 hadoop]$ yarn node -list
Total Nodes:2
Node-Id Node-State Node-Http-Address Number-of-Running-Containers
hadoop5:37438 RUNNING hadoop5:8042 0
hadoop6:9001 RUNNING hadoop6:8042 0

4.添加新主机至集群

1.将原hadoop配置文件copy新主机,并安装好java环境

2.在namenode中将新主机的ip添加于dfs.hosts参数指定的文件中

[hadoop@10-124-147-22 hadoop]$ cat /usr/local/hadoop/etc/hadoop/slaves
hadoop5
hadoop6
10.122.147.37

3.将该slaves文件同步到其它主机之上

[hadoop@10-124-147-22 hadoop]$ for i in {2,3,4,5,6,7};do scp etc/hadoop/slaves hadoop$i:/usr/local/hadoop/etc/hadoop/;done

4.启动新主机的datanode进程和nodemanager进程

[hadoop@10-122-147-37 hadoop]$ sbin/hadoop-daemon.sh start datanode
starting datanode, logging to /letv/hadoop-2.7.6/logs/hadoop-hadoop-datanode-10-122-147-37.out
[hadoop@10-122-147-37 hadoop]$ jps
3068 DataNode
6143 Jps
[hadoop@10-122-147-37 hadoop]$ sbin/yarn-daemon.sh start nodemanager
starting nodemanager, logging to /letv/hadoop-2.7.6/logs/yarn-hadoop-nodemanager-10-122-147-37.out
[hadoop@10-122-147-37 hadoop]$ jps
6211 NodeManager
6403 Jps
3068 DataNode

5.刷新namenode

[hadoop@10-124-147-22 hadoop]$ hdfs dfsadmin -refreshNodes
Refresh nodes successful for hadoop1/10.124.147.22:9000
Refresh nodes successful for hadoop2/10.124.147.23:9000

6.查看hdfs信息

[hadoop@10-124-147-22 hadoop]$ hdfs dfsadmin -refreshNodes
Refresh nodes successful for hadoop1/10.124.147.22:9000
Refresh nodes successful for hadoop2/10.124.147.23:9000
[hadoop@10-124-147-22 hadoop]$ hdfs dfsadmin -report
Configured Capacity: 1351059292160 (1.23 TB)
Present Capacity: 1337331367936 (1.22 TB)
DFS Remaining: 1337329156096 (1.22 TB)
DFS Used: 2211840 (2.11 MB)
DFS Used%: 0.00%
Under replicated blocks: 0
Blocks with corrupt replicas: 0
Missing blocks: 0
Missing blocks (with replication factor 1): 0 -------------------------------------------------
Live datanodes (3): Name: 10.122.147.37:50010 (hadoop7)
Hostname: hadoop7
Decommission Status : Normal
Configured Capacity: 250831044608 (233.60 GB)
DFS Used: 737280 (720 KB)
Non DFS Used: 1240752128 (1.16 GB)
DFS Remaining: 249589555200 (232.45 GB)
DFS Used%: 0.00%
DFS Remaining%: 99.51%
Configured Cache Capacity: 0 (0 B)
Cache Used: 0 (0 B)
Cache Remaining: 0 (0 B)
Cache Used%: 100.00%
Cache Remaining%: 0.00%
Xceivers: 1
Last contact: Tue Jul 24 17:15:09 CST 2018 Name: 10.110.92.161:50010 (hadoop5)
Hostname: hadoop5
Decommission Status : Normal
Configured Capacity: 550114123776 (512.33 GB)
DFS Used: 737280 (720 KB)
Non DFS Used: 11195953152 (10.43 GB)
DFS Remaining: 538917433344 (501.91 GB)
DFS Used%: 0.00%
DFS Remaining%: 97.96%
Configured Cache Capacity: 0 (0 B)
Cache Used: 0 (0 B)
Cache Remaining: 0 (0 B)
Cache Used%: 100.00%
Cache Remaining%: 0.00%
Xceivers: 1
Last contact: Tue Jul 24 17:15:10 CST 2018 Name: 10.110.92.162:50010 (hadoop6)
Hostname: hadoop6
Decommission Status : Normal
Configured Capacity: 550114123776 (512.33 GB)
DFS Used: 737280 (720 KB)
Non DFS Used: 1291218944 (1.20 GB)
DFS Remaining: 548822167552 (511.13 GB)
DFS Used%: 0.00%
DFS Remaining%: 99.77%
Configured Cache Capacity: 0 (0 B)
Cache Used: 0 (0 B)
Cache Remaining: 0 (0 B)
Cache Used%: 100.00%
Cache Remaining%: 0.00%
Xceivers: 1
Last contact: Tue Jul 24 17:15:10 CST 2018

7.更新resourcemanager信息

[hadoop@10-124-147-32 hadoop]$ yarn rmadmin -refreshNodes
[hadoop@10-124-147-32 hadoop]$ yarn node -list
18/07/24 18:11:23 INFO client.ConfiguredRMFailoverProxyProvider: Failing over to rm2
Total Nodes:3
Node-Id Node-State Node-Http-Address Number-of-Running-Containers
hadoop7:3296 RUNNING hadoop7:8042
hadoop5:37438 RUNNING hadoop5:8042 0
hadoop6:9001 RUNNING hadoop6:8042 0

8.include与exclude对yarn和hdfs的影响

判断一个nodemanager能否连接到resourcemanager的条件是,该nodemanager出现在include文件且不出现exclude文件中

而hdfs规与yarn不太一样(hdfs中的include直接即为dfs.hosts),其规则如下表

是否在include 是否在exclude 是否可连接
无法连接
无法连接
可以连接
可连接,即将解除

如果未指定include或者include为空,即意味着所有节点都在include文件

5.遇到异常

在移除datanode中的,会遇到被移除datanode一直处于Decommission in progress状态,这是因为默认测试环境中,没有设置副本数量,在hadoop中的默认副本数为3,而本测试环境中,因为datanode总共只有3个节点,所以会出现该异常

将副本数量设置成小于datanode数量即可

[hadoop@10-124-147-22 hadoop]$ grep dfs\.replication -C3 /usr/local/hadoop/etc/hadoop/hdfs-site.xml

<!-- 副本复制数量 -->
<property>
<name>dfs.replication</name>
<value>1</value>
</property>

hadoop 2.7 添加或删除datanode节点的更多相关文章

  1. (转载) 添加或删除datanode节点

    转载:https://www.cnblogs.com/marility/p/9362168.html 1.测试环境 ip 主机名 角色 10.124.147.22 hadoop1 namenode 1 ...

  2. Hadoop 2.6.3动态增加/删除DataNode节点

    假设集群操作系统均为:CentOS 6.7 x64 Hadoop版本为:2.6.3 一.动态增加DataNode 1.准备新的DataNode节点机器,配置SSH互信,可以直接复制已有DataNode ...

  3. hadoop集群中动态添加新的DataNode节点

    集群中现有的计算能力不足,须要另外加入新的节点时,使用例如以下方法就能动态添加新的节点: 1.在新的节点上安装hadoop程序,一定要控制好版本号,能够从集群上其它机器cp一份改动也行 2.把name ...

  4. Hadoop DataNode 节点的动态添加和动态删除

    动态添加 DataNode 节点 hadoop环境是必须的 需要加入新的 DataNode 节点,前提是已经配置好 SSH 无密登录:直接复制已有DataNode中.ssh目录中的authorized ...

  5. Hadoop 添加删除数据节点(datanode)

    前提条件: 添加机器安装jdk等,最好把环境都搞成一样,示例可做相应改动 实现目的: 在hadoop集群中添加一个新增数据节点. 1. 创建目录和用户  mkdir -p /app/hadoop gr ...

  6. Hadoop记录-Hadoop集群添加节点和删除节点

    1.添加节点 A:新节点中添加账户,设置无密码登陆 B:Name节点中设置到新节点的无密码登陆 C:在Name节点slaves文件中添加新节点 D:在所有节点/etc/hosts文件中增加新节点(所有 ...

  7. Hadoop中正确地添加和移除节点

    正确地添加和移除节点 添加节点 克隆 克隆一台全新的Linux(如有IP冲突,可右击VMware右下角网络图标断开连接) 打开/etc/hostname修改主机名 打开/etc/sysconfig/n ...

  8. adoop集群动态添加和删除节点

    hadoop集群动态添加和删除节点说明 上篇博客我已经安装了Hadoop集群(hadoop集群的安装步骤和配置),现在写这个博客我将在之前的基础上进行节点的添加的删除. 首先将启动四台机器(一主三从) ...

  9. 【Hadoop故障处理】全分布下,DataNode进程正常启动,但是网页上不显示,并且DataNode节点为空

    [故障背景] DataNode进程正常启动,但是网页上不显示,并且DataNode节点为空. /etc/hosts   的ip和hostname配置正常,各个机器之间能够ping通. [日志错误信息] ...

随机推荐

  1. kd树解平面最近点对

    早上起来头有点疼,突然就想到能不能用kd树解平面最近点对问题,就找了道题试了一下,结果可以,虽然效率不高,但还是AC了~ 题目链接:http://acm.hdu.edu.cn/showproblem. ...

  2. 理解"__repr__"

    class aTest: def __repr__(self): return "This is an aTest class." a = aTest() print (a) cl ...

  3. django model的get和filter方法的区别

    django的get方法: 1django的get方法是从数据库的取得一个匹配的结果,返回一个对象,如果记录不存在的话,它会报错. 2如果你用django的get去取得关联表的数据的话,而关键表的数据 ...

  4. 4412 Linux定时器

    一.Linux定时器基础知识 1.1 定时器的使用范围 延后执行某个操作,定时查询某个状态:前提是对时间要求不高的地方 1.2 内核时间概念 Hz:(系统时钟通过CONFIG_HZ来设置,范围是100 ...

  5. java 通过反射获取类属性结构,类方法,类父类及其泛型,类,接口和包

    首先自定义三个类 package reflection1; public interface MtInterface { void info(); } package reflection1; imp ...

  6. git分支merger

  7. 本地项目关联到远程git仓库

    本地项目关联到远程git仓库 场景是这样的:在gitee-code上新建一个项目,gitee会帮你把项目初始化,初始化之后会根据你的选择生成默认的说明文件和gitignore文件.这个时候你就可以复制 ...

  8. 【转】C#反编译工具

    源地址:https://blog.csdn.net/kongwei521/article/details/54927689 源地址:https://www.cnblogs.com/JamesLi201 ...

  9. 网络命令-nc(一)

    一直在linux环境下编程,但却没有用过nc命令,不过最近发现Netcat这个命令-nc,发现真的蛮强大的, 为了备忘,就写了这个博客吧,不求全,只求把自己觉得很有用的命令整理出来,这篇文章估计要长期 ...

  10. code for QTP and ALM

    '==========================================================================' Name: connectALM' Summa ...