CentOS7.4 + Hadoop2.9安装配置管理（分布式）
Posted gispathfinder
tags:
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1. 规划
1.1. 机器列表
|
NameNode |
SecondaryNameNode |
DataNodes |
|
192.168.1.121 |
192.168.1.122 |
192.168.1.101 |
|
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192.168.1.102 |
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192.168.1.103 |
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1.2. 机器列表
|
机器IP |
主机名 |
用户组/用户 |
|
192.168.1.121 |
nameNode.smartmap.com |
hadoop/hadoop |
|
192.168.1.122 |
secondaryNameNode.smartmap.com |
hadoop/hadoop |
|
192.168.1.111 |
dataNode101.smartmap.com |
hadoop/hadoop |
|
192.168.1.112 |
dataNode102.smartmap.com |
hadoop/hadoop |
|
192.168.1.113 |
dataNode103.smartmap.com |
hadoop/hadoop |
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2. 设置IP与服务器名映射
[[email protected] ~]# vi /etc/hosts
192.168.1.121 nameNode nameNode.smartmap.com
192.168.1.122 secondaryNameNode secondaryNameNode.smartmap.com
192.168.1.111 dataNode101 datanode101.smartmap.com
192.168.1.112 dataNode102 datanode102.smartmap.com
192.168.1.113 dataNode103 datanode103.smartmap.com
并修改Windows中的hosts文件
C:\\Windows\\System32\\drivers\\etc
3. 添加用户
[[email protected] ~]# useradd hadoop
[[email protected] ~]# passwd hadoop
Changing password for user hadoop.
New password:
BAD PASSWORD: The password is shorter than 8 characters
Retype new password:
passwd: all authentication tokens updated successfully.
[[email protected] ~]#
4. 免密码登录
4.1. 免密码登录范围
要求能通过免登录包括使用IP和主机名都能免密码登录：
1) NameNode能免密码登录所有的DataNode
2) SecondaryNameNode能免密码登录所有的DataNode
3) NameNode能免密码登录自己
4) SecondaryNameNode能免密码登录自己
5) NameNode能免密码登录SecondaryNameNode
6) SecondaryNameNode能免密码登录NameNode
7) DataNode能免密码登录自己
8) DataNode不需要配置免密码登录NameNode、SecondaryNameNode和其它DataNode。
4.2. SSH无密码配置
4.2.1. 所有节点准备密钥
4.2.1.1. 所有节点均创建密钥对
[[email protected] ~]$ ssh-keygen -t rsa
Generating public/private rsa key pair.
Enter file in which to save the key (/home/hadoop/.ssh/id_rsa):
Created directory ‘/home/hadoop/.ssh‘.
Enter passphrase (empty for no passphrase):
Enter same passphrase again:
Your identification has been saved in /home/hadoop/.ssh/id_rsa.
Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub.
The key fingerprint is:
SHA256:piJOz+czSaGsxsEsa4ellzJfCOCB8jDE+fLor5PhKsM [email protected]
The key‘s randomart image is:
+---[RSA 2048]----+
|... |
|oo |
|*.. |
|+=.. . |
| ==. . .S |
|.o=o+ .o |
|++O+oo.. |
|+E+B..= |
+----[SHA256]-----+
[[email protected] ~]$ ls -la .ssh/
total 8
drwx------ 2 hadoop hadoop 38 Apr 14 23:45 .
drwx------ 3 hadoop hadoop 74 Apr 14 23:45 ..
-rw------- 1 hadoop hadoop 1679 Apr 14 23:45 id_rsa
-rw-r--r-- 1 hadoop hadoop 410 Apr 14 23:45 id_rsa.pub
[[email protected] ~]$
4.2.1.2. 所有节点均创建存放公钥的文件
[[email protected] ~]$ cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
[[email protected] ~]$ chmod 600 ~/.ssh/authorized_keys
[[email protected] ~]$ ls -la ~/.ssh/
total 12
drwx------ 2 hadoop hadoop 61 Apr 15 00:07 .
drwx------ 3 hadoop hadoop 74 Apr 14 23:54 ..
-rw------- 1 hadoop hadoop 413 Apr 15 00:07 authorized_keys
-rw------- 1 hadoop hadoop 1679 Apr 14 23:54 id_rsa
-rw-r--r-- 1 hadoop hadoop 413 Apr 14 23:54 id_rsa.pub
[[email protected] ~]$
4.2.2. NameNode与SecondaryNameNode能免密码登录所有节点
4.2.2.1. 将NameNode的公钥发送到所有节点上
[[email protected] ~]$ scp ~/.ssh/authorized_keys [email protected]:~/.ssh/authorized_keys_namenode
The authenticity of host ‘192.168.1.111 (192.168.1.111)‘ can‘t be established.
ECDSA key fingerprint is SHA256:lgN0eOtdLR2eqHh+fabe54DGpV08ZiWo9oWVS60aGzw.
ECDSA key fingerprint is MD5:28:c0:cf:21:35:29:3d:23:d3:62:ca:0e:82:7a:4b:af.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘192.168.1.111‘ (ECDSA) to the list of known hosts.
[email protected]‘s password:
authorized_keys 100% 410 324.7KB/s 00:00
[[email protected] ~]$ scp ~/.ssh/authorized_keys [email protected]:~/.ssh/authorized_keys_namenode
The authenticity of host ‘192.168.1.112 (192.168.1.112)‘ can‘t be established.
ECDSA key fingerprint is SHA256:lgN0eOtdLR2eqHh+fabe54DGpV08ZiWo9oWVS60aGzw.
ECDSA key fingerprint is MD5:28:c0:cf:21:35:29:3d:23:d3:62:ca:0e:82:7a:4b:af.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘192.168.1.112‘ (ECDSA) to the list of known hosts.
[email protected]‘s password:
authorized_keys 100% 410 272.7KB/s 00:00
[[email protected] ~]$ scp ~/.ssh/authorized_keys [email protected]:~/.ssh/authorized_keys_namenode
The authenticity of host ‘192.168.1.113 (192.168.1.113)‘ can‘t be established.
ECDSA key fingerprint is SHA256:lgN0eOtdLR2eqHh+fabe54DGpV08ZiWo9oWVS60aGzw.
ECDSA key fingerprint is MD5:28:c0:cf:21:35:29:3d:23:d3:62:ca:0e:82:7a:4b:af.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘192.168.1.113‘ (ECDSA) to the list of known hosts.
[email protected]‘s password:
authorized_keys 100% 410 402.9KB/s 00:00
[[email protected] ~]$ scp ~/.ssh/authorized_keys [email protected]:~/.ssh/authorized_keys_namenode
The authenticity of host ‘192.168.1.122 (192.168.1.122)‘ can‘t be established.
ECDSA key fingerprint is SHA256:lgN0eOtdLR2eqHh+fabe54DGpV08ZiWo9oWVS60aGzw.
ECDSA key fingerprint is MD5:28:c0:cf:21:35:29:3d:23:d3:62:ca:0e:82:7a:4b:af.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘192.168.1.122‘ (ECDSA) to the list of known hosts.
[email protected]‘s password:
authorized_keys 100% 410 382.4KB/s 00:00
[[email protected] ~]$
4.2.2.2. 将SecondaryNameNode的公钥发送到所有节点上
[[email protected] ~]$ scp ~/.ssh/authorized_keys [email protected]:~/.ssh/authorized_keys_secondarynamenode
The authenticity of host ‘192.168.1.111 (192.168.1.111)‘ can‘t be established.
ECDSA key fingerprint is SHA256:lgN0eOtdLR2eqHh+fabe54DGpV08ZiWo9oWVS60aGzw.
ECDSA key fingerprint is MD5:28:c0:cf:21:35:29:3d:23:d3:62:ca:0e:82:7a:4b:af.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘192.168.1.111‘ (ECDSA) to the list of known hosts.
[email protected]‘s password:
authorized_keys 100% 419 294.8KB/s 00:00
[[email protected] ~]$ scp ~/.ssh/authorized_keys [email protected]:~/.ssh/authorized_keys_secondarynamenode
The authenticity of host ‘192.168.1.112 (192.168.1.112)‘ can‘t be established.
ECDSA key fingerprint is SHA256:lgN0eOtdLR2eqHh+fabe54DGpV08ZiWo9oWVS60aGzw.
ECDSA key fingerprint is MD5:28:c0:cf:21:35:29:3d:23:d3:62:ca:0e:82:7a:4b:af.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘192.168.1.112‘ (ECDSA) to the list of known hosts.
[email protected]‘s password:
authorized_keys 100% 419 383.6KB/s 00:00
[[email protected] ~]$ scp ~/.ssh/authorized_keys [email protected]:~/.ssh/authorized_keys_secondarynamenode
The authenticity of host ‘192.168.1.113 (192.168.1.113)‘ can‘t be established.
ECDSA key fingerprint is SHA256:lgN0eOtdLR2eqHh+fabe54DGpV08ZiWo9oWVS60aGzw.
ECDSA key fingerprint is MD5:28:c0:cf:21:35:29:3d:23:d3:62:ca:0e:82:7a:4b:af.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘192.168.1.113‘ (ECDSA) to the list of known hosts.
[email protected]‘s password:
authorized_keys 100% 419 377.1KB/s 00:00
[[email protected] ~]$ scp ~/.ssh/authorized_keys [email protected]:~/.ssh/authorized_keys_secondarynamenode
The authenticity of host ‘192.168.1.121 (192.168.1.121)‘ can‘t be established.
ECDSA key fingerprint is SHA256:lgN0eOtdLR2eqHh+fabe54DGpV08ZiWo9oWVS60aGzw.
ECDSA key fingerprint is MD5:28:c0:cf:21:35:29:3d:23:d3:62:ca:0e:82:7a:4b:af.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘192.168.1.121‘ (ECDSA) to the list of known hosts.
[email protected]‘s password:
authorized_keys 100% 419 335.7KB/s 00:00
[[email protected] ~]$
4.2.3. 所有DataNode将NameNode与SecondaryNameNode所发送过来的公钥追加到其公钥文件的结尾
4.2.3.1. datanode101
[[email protected] .ssh]$ ls -la ~/.ssh/
total 20
drwx------ 2 hadoop hadoop 134 Apr 15 00:39 .
drwx------ 3 hadoop hadoop 74 Apr 14 23:53 ..
-rw-rw-r-- 1 hadoop hadoop 413 Apr 15 00:39 authorized_keys
-rw------- 1 hadoop hadoop 410 Apr 15 00:21 authorized_keys_namenode
-rw------- 1 hadoop hadoop 419 Apr 15 00:27 authorized_keys_secondarynamenode
-rw------- 1 hadoop hadoop 1679 Apr 14 23:53 id_rsa
-rw-r--r-- 1 hadoop hadoop 413 Apr 14 23:53 id_rsa.pub
[[email protected] .ssh]$ cd ..
[[email protected] ~]$ cat ~/.ssh/authorized_keys_namenode >> ~/.ssh/authorized_keys
[[email protected] ~]$ cat ~/.ssh/authorized_keys_secondarynamenode >> ~/.ssh/authorized_keys
[[email protected] ~]$
4.2.3.2. datanode102
[[email protected] ~]$ ls -la ~/.ssh/
total 20
drwx------ 2 hadoop hadoop 134 Apr 15 00:39 .
drwx------ 3 hadoop hadoop 74 Apr 14 23:53 ..
-rw-rw-r-- 1 hadoop hadoop 413 Apr 15 00:39 authorized_keys
-rw------- 1 hadoop hadoop 410 Apr 15 00:17 authorized_keys_namenode
-rw------- 1 hadoop hadoop 419 Apr 15 00:27 authorized_keys_secondarynamenode
-rw------- 1 hadoop hadoop 1675 Apr 14 23:53 id_rsa
-rw-r--r-- 1 hadoop hadoop 413 Apr 14 23:53 id_rsa.pub
[[email protected] ~]$ cat ~/.ssh/authorized_keys_namenode >> ~/.ssh/authorized_keys
[[email protected] ~]$ cat ~/.ssh/authorized_keys_secondarynamenode >> ~/.ssh/authorized_keys
[[email protected] ~]$
4.2.3.3. datanode103
[[email protected] ~]$ ls -la ~/.ssh/
total 20
drwx------ 2 hadoop hadoop 134 Apr 15 00:28 .
drwx------ 3 hadoop hadoop 74 Apr 14 23:54 ..
-rw------- 1 hadoop hadoop 413 Apr 15 00:07 authorized_keys
-rw------- 1 hadoop hadoop 410 Apr 15 00:17 authorized_keys_namenode
-rw------- 1 hadoop hadoop 419 Apr 15 00:28 authorized_keys_secondarynamenode
-rw------- 1 hadoop hadoop 1679 Apr 14 23:54 id_rsa
-rw-r--r-- 1 hadoop hadoop 413 Apr 14 23:54 id_rsa.pub
[[email protected] ~]$ cat ~/.ssh/authorized_keys_namenode >> ~/.ssh/authorized_keys
[[email protected] ~]$ cat ~/.ssh/authorized_keys_secondarynamenode >> ~/.ssh/authorized_keys
[[email protected] ~]$
4.2.3.4. namenode
[[email protected] ~]$ ls -la ~/.ssh/
total 20
drwx------ 2 hadoop hadoop 121 Apr 15 00:28 .
drwx------ 3 hadoop hadoop 74 Apr 14 23:45 ..
-rw------- 1 hadoop hadoop 410 Apr 14 23:45 authorized_keys
-rw------- 1 hadoop hadoop 419 Apr 15 00:28 authorized_keys_secondarynamenode
-rw------- 1 hadoop hadoop 1679 Apr 14 23:45 id_rsa
-rw-r--r-- 1 hadoop hadoop 410 Apr 15 00:03 id_rsa.pub
-rw-r--r-- 1 hadoop hadoop 700 Apr 15 00:17 known_hosts
[[email protected] ~]$ cat ~/.ssh/authorized_keys_secondarynamenode >> ~/.ssh/authorized_keys
[[email protected] ~]$
4.2.3.5. secondarynamenode
[[email protected] ~]$ ls -la ~/.ssh/
total 20
drwx------ 2 hadoop hadoop 112 Apr 15 00:26 .
drwx------ 3 hadoop hadoop 74 Apr 14 23:54 ..
-rw------- 1 hadoop hadoop 419 Apr 15 00:26 authorized_keys
-rw------- 1 hadoop hadoop 410 Apr 15 00:17 authorized_keys_namenode
-rw------- 1 hadoop hadoop 1675 Apr 14 23:54 id_rsa
-rw-r--r-- 1 hadoop hadoop 419 Apr 14 23:54 id_rsa.pub
-rw-r--r-- 1 hadoop hadoop 700 Apr 15 00:28 known_hosts
[[email protected] ~]$ cat ~/.ssh/authorized_keys_namenode >> ~/.ssh/authorized_keys
[[email protected] ~]$
4.2.4. 验证
[[email protected] ~]$ ssh [email protected]
Last login: Sun Apr 15 00:55:33 2018 from 192.168.1.121
[[email protected] ~]$ exit
logout
Connection to 192.168.1.111 closed.
[[email protected] ~]$ ssh [email protected]
Last login: Sun Apr 15 00:55:38 2018 from 192.168.1.121
[[email protected] ~]$ exit
logout
Connection to 192.168.1.112 closed.
[[email protected] ~]$ ssh [email protected]
Last login: Sun Apr 15 00:55:47 2018 from 192.168.1.121
[[email protected] ~]$ exit
logout
Connection to 192.168.1.113 closed.
[[email protected] ~]$ ssh [email protected]
Last login: Sun Apr 15 00:55:59 2018 from 192.168.1.121
[[email protected] ~]$ exit
logout
Connection to 192.168.1.121 closed.
[[email protected] ~]$ ssh [email protected]
The authenticity of host ‘192.168.1.122 (192.168.1.122)‘ can‘t be established.
ECDSA key fingerprint is SHA256:lgN0eOtdLR2eqHh+fabe54DGpV08ZiWo9oWVS60aGzw.
ECDSA key fingerprint is MD5:28:c0:cf:21:35:29:3d:23:d3:62:ca:0e:82:7a:4b:af.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added ‘192.168.1.122‘ (ECDSA) to the list of known hosts.
Last login: Sun Apr 15 00:55:55 2018 from 192.168.1.121
[[email protected] ~]$ exit
logout
Connection to 192.168.1.122 closed.
[[email protected] ~]$
5. 安装JDK
5.1. 将下载好的JDK包上传到一台服务器上
以root服务上传目录为 /opt/
5.2. 解压JDK包
[[email protected] ~]$ su - root
Password:
Last login: Sat Apr 14 22:49:00 CST 2018 from 192.168.1.101 on pts/0
[[email protected] ~]# cd /opt/
[[email protected] opt]# ll
total 134860
-rw-r--r-- 1 root root 138094686 Apr 14 20:04 jdk-7u45-linux-x64.tar.gz
[[email protected] opt]# tar -zxvf jdk-7u45-linux-x64.tar.gz
jdk1.7.0_45/
jdk1.7.0_45/db/
jdk1.7.0_45/db/lib/
jdk1.7.0_45/db/lib/derbyLocale_pl.jar
jdk1.7.0_45/db/lib/derbyLocale_zh_TW.jar
jdk1.7.0_45/db/lib/derbyLocale_cs.jar
jdk1.7.0_45/db/lib/derbyLocale_de_DE.jar
jdk1.7.0_45/db/lib/derbytools.jar
jdk1.7.0_45/db/lib/derbyrun.jar
jdk1.7.0_45/db/lib/derbyLocale_hu.jar
jdk1.7.0_45/db/lib/derbynet.jar
jdk1.7.0_45/db/lib/derby.jar
……
jdk1.7.0_45/man/man1/javadoc.1
jdk1.7.0_45/THIRDPARTYLICENSEREADME.txt
jdk1.7.0_45/COPYRIGHT
[[email protected] opt]# ls -la
total 134860
drwxr-xr-x. 3 root root 58 Apr 15 01:10 .
dr-xr-xr-x. 17 root root 244 Oct 28 11:54 ..
drwxr-xr-x 8 10 143 233 Oct 8 2013 jdk1.7.0_45
-rw-r--r-- 1 root root 138094686 Apr 14 20:04 jdk-7u45-linux-x64.tar.gz
[[email protected] opt]# ls -la jdk1.7.0_45/
total 19744
drwxr-xr-x 8 10 143 233 Oct 8 2013 .
drwxr-xr-x. 3 root root 58 Apr 15 01:10 ..
drwxr-xr-x 2 10 143 4096 Oct 8 2013 bin
-r--r--r-- 1 10 143 3339 Oct 8 2013 COPYRIGHT
drwxr-xr-x 4 10 143 122 Oct 8 2013 db
drwxr-xr-x 3 10 143 132 Oct 8 2013 include
drwxr-xr-x 5 10 143 185 Oct 8 2013 jre
drwxr-xr-x 5 10 143 250 Oct 8 2013 lib
-r--r--r-- 1 10 143 40 Oct 8 2013 LICENSE
drwxr-xr-x 4 10 143 47 Oct 8 2013 man
-r--r--r-- 1 10 143 114 Oct 8 2013 README.html
-rw-r--r-- 1 10 143 499 Oct 8 2013 release
-rw-r--r-- 1 10 143 19891378 Oct 8 2013 src.zip
-rw-r--r-- 1 10 143 123324 Oct 8 2013 THIRDPARTYLICENSEREADME-JAVAFX.txt
-r--r--r-- 1 10 143 173559 Oct 8 2013 THIRDPARTYLICENSEREADME.txt
[[email protected] opt]#
[[email protected] opt]# mkdir java
[[email protected] opt]# ll
total 134860
drwxr-xr-x 2 root root 6 Apr 15 01:25 java
drwxr-xr-x 8 10 143 233 Oct 8 2013 jdk1.7.0_45
-rw-r--r-- 1 root root 138094686 Apr 14 20:04 jdk-7u45-linux-x64.tar.gz
[[email protected] opt]# mv jdk1.7.0_45/ java/
[[email protected] opt]# cd java
[[email protected] java]# ls -la
total 0
drwxr-xr-x 3 root root 25 Apr 15 01:26 .
drwxr-xr-x. 3 root root 51 Apr 15 01:26 ..
drwxr-xr-x 8 10 143 233 Oct 8 2013 jdk1.7.0_45
[[email protected] java]# pwd
/opt/java
[[email protected] java]# cd jdk1.7.0_45/
[[email protected] jdk1.7.0_45]# pwd
/opt/java/jdk1.7.0_45
[[email protected] jdk1.7.0_45]#
5.3. 将JDK复制到所有其它节点上
[[email protected] opt]# scp jdk-7u45-linux-x64.tar.gz [email protected]:/opt/
[email protected]‘s password:
jdk-7u45-linux-x64.tar.gz 100% 138MB 21.9MB/s 00:16
[[email protected] opt]# scp jdk-7u45-linux-x64.tar.gz [email protected]:/opt/
[email protected]‘s password:
jdk-7u45-linux-x64.tar.gz 100% 138MB 21.9MB/s 00:16
[[email protected] opt]# scp jdk-7u45-linux-x64.tar.gz [email protected]:/opt/
[email protected]‘s password:
jdk-7u45-linux-x64.tar.gz 100% 138MB 20.6MB/s 00:17
[[email protected] opt]# scp jdk-7u45-linux-x64.tar.gz [email protected]:/opt/
[email protected]‘s password:
jdk-7u45-linux-x64.tar.gz 100% 138MB 26.9MB/s 00:13
[[email protected] opt]#
5.4. 在所有节点上配置环境变量
[[email protected] opt]# vi /etc/profile
在其结尾加入如下的内容
export JAVA_HOME=/opt/java/jdk1.7.0_45
export JRE_HOME=/opt/java/jdk1.7.0_45/jre
export CLASSPATH=.:$JAVA_HOME/lib:$JRE_HOME/lib:$CLASSPATH
export PATH=$JAVA_HOME/bin:$PATH
[[email protected] jdk1.7.0_45]# source /etc/profile
[[email protected] jdk1.7.0_45]# java -version
java version "1.7.0_45"
Java(TM) SE Runtime Environment (build 1.7.0_45-b18)
Java HotSpot(TM) 64-Bit Server VM (build 24.45-b08, mixed mode)
[[email protected] jdk1.7.0_45]#
6. Hadoop安装及其环境配置
6.1. 将下载好的Hadoop包上传到一台服务器上
以root服务上传目录为 /opt/
6.2. 解压Hadoop包
[[email protected] opt]$ su - root
Password:
Last login: Sun Apr 15 01:41:52 CST 2018 on pts/0
[[email protected] ~]# cd /opt
[[email protected] opt]# mkdir hadoop
[[email protected] opt]#
[[email protected] opt]# ls -la
total 493012
drwxr-xr-x. 4 root root 92 Apr 15 10:11 .
dr-xr-xr-x. 17 root root 244 Oct 28 11:54 ..
drwxr-xr-x 3 root root 26 Apr 15 10:11 hadoop
-rw-r--r-- 1 root root 366744329 Apr 15 01:46 hadoop-2.9.0.tar.gz
drwxr-xr-x 3 root root 25 Apr 15 01:26 java
-rw-r--r-- 1 root root 138094686 Apr 14 20:04 jdk-7u45-linux-x64.tar.gz
[[email protected] opt]# tar –zxvf hadoop-2.9.0.tar.gz
……
hadoop-2.9.0/share/hadoop/common/jdiff/hadoop-core_0.20.0.xml
hadoop-2.9.0/share/hadoop/common/jdiff/hadoop-core_0.21.0.xml
hadoop-2.9.0/share/hadoop/common/jdiff/hadoop_0.19.2.xml
hadoop-2.9.0/share/hadoop/common/jdiff/Apache_Hadoop_Common_2.6.0.xml
hadoop-2.9.0/share/hadoop/common/jdiff/Apache_Hadoop_Common_2.7.2.xml
hadoop-2.9.0/share/hadoop/common/sources/
hadoop-2.9.0/share/hadoop/common/sources/hadoop-common-2.9.0-test-sources.jar
hadoop-2.9.0/share/hadoop/common/sources/hadoop-common-2.9.0-sources.jar
[[email protected] opt]# ls -la
total 493012
drwxr-xr-x. 5 root root 112 Apr 15 10:08 .
dr-xr-xr-x. 17 root root 244 Oct 28 11:54 ..
drwxr-xr-x 2 root root 6 Apr 15 10:02 hadoop
drwxr-xr-x 9 hadoop hadoop 149 Nov 14 07:28 hadoop-2.9.0
-rw-r--r-- 1 root root 366744329 Apr 15 01:46 hadoop-2.9.0.tar.gz
drwxr-xr-x 3 root root 25 Apr 15 01:26 java
-rw-r--r-- 1 root root 138094686 Apr 14 20:04 jdk-7u45-linux-x64.tar.gz
[[email protected] opt]# mv hadoop-2.9.0 hadoop/
[[email protected] opt]# ls -la
total 493012
drwxr-xr-x. 4 root root 92 Apr 15 10:11 .
dr-xr-xr-x. 17 root root 244 Oct 28 11:54 ..
drwxr-xr-x 3 root root 26 Apr 15 10:11 hadoop
-rw-r--r-- 1 root root 366744329 Apr 15 01:46 hadoop-2.9.0.tar.gz
drwxr-xr-x 3 root root 25 Apr 15 01:26 java
-rw-r--r-- 1 root root 138094686 Apr 14 20:04 jdk-7u45-linux-x64.tar.gz
[[email protected] opt]#
6.3. 修改Hadoop包的用户
[[email protected] opt]# chown hadoop:hadoop -R hadoop/
[[email protected] opt]#
6.4. 将Hadoop复制到所有其它节点上
[[email protected] opt]# scp hadoop-2.9.0.tar.gz [email protected]:/opt/
[email protected]‘s password:
hadoop-2.9.0.tar.gz 100% 350MB 21.9MB/s 00:16
[[email protected] opt]# scp hadoop-2.9.0.tar.gz [email protected]:/opt/
[email protected]‘s password:
hadoop-2.9.0.tar.gz 100% 350MB 21.9MB/s 00:16
[[email protected] opt]# scp hadoop-2.9.0.tar.gz [email protected]:/opt/
[email protected]‘s password:
hadoop-2.9.0.tar.gz 100% 350MB 20.6MB/s 00:17
[[email protected] opt]# scp hadoop-2.9.0.tar.gz [email protected]:/opt/
[email protected]‘s password:
hadoop-2.9.0.tar.gz 100% 350MB 26.9MB/s 00:13
[[email protected] opt]#
6.5. Hadoop环境配置
6.5.1. 把Hadoop的安装路径添加到”/etc/profile”中
[[email protected] opt]# vi /etc/profile
export
JAVA_HOME=/opt/java/jdk1.7.0_45
export
HADOOP_HOME=/opt/hadoop/hadoop-2.9.0
export
CLASSPATH=.:$JAVA_HOME/lib:$CLASSPATH
export
PATH=$JAVA_HOME/bin:$HADOOP_HOME/bin: $HADOOP_HOME/sbin:$PATH
# export JAVA_HOME=/opt/java/jdk1.7.0_45
# export HADOOP_HOME=/opt/hadoop/hadoop-2.9.0
# export CLASSPATH=.:$JAVA_HOME/lib:$CLASSPATH
# export PATH=$JAVA_HOME/bin:$HADOOP_HOME/bin:$PATH
export JAVA_HOME=/opt/java/jdk1.7.0_45
export CLASSPATH=.:$JAVA_HOME/lib:$CLASSPATH
export HADOOP_HOME=/opt/hadoop/hadoop-2.9.0
export HADOOP_MAPRED_HOME=$HADOOP_HOME
export HADOOP_COMMON_HOME=$HADOOP_HOME
export HADOOP_HDFS_HOME=$HADOOP_HOME
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
export YARN_HOME=$HADOOP_HOME
export YARN_CONF_DIR=$HADOOP_HOME/etc/hadoop
export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export LD_LIBRARY_PATH=$JAVA_HOME/jre/lib/amd64/server:/usr/local/lib:$HADOOP_HOME/lib/native
export JAVA_LIBRARY_PATH=$LD_LIBRARY_PATH:$JAVA_LIBRARY_PATH
[[email protected] opt]# source /etc/profile
[[email protected] opt]#
6.5.2. 创建目录
[[email protected] opt]$ mkdir /opt/hadoop/tmp
[[email protected] opt]$ mkdir -p /opt/hadoop/data/hdfs/name
[[email protected] opt]$ mkdir -p /opt/hadoop/data/hdfs/data
[[email protected] opt]$ mkdir -p /opt/hadoop/data/hdfs/checkpoint
[[email protected] opt]$ mkdir -p /opt/hadoop/data/yarn/local
[[email protected] opt]$ mkdir -p /opt/hadoop/pid
[[email protected] opt]$ mkdir -p /opt/hadoop/log
6.5.3. 配置hadoop-env.sh
[[email protected] opt]# exit
logout
[[email protected] ~]$ cd /opt/
[[email protected] opt]$ vi /opt/hadoop/hadoop-2.9.0/etc/hadoop/hadoop-env.sh
[[email protected] opt]$
# export JAVA_HOME=${JAVA_HOME}
export JAVA_HOME=/opt/java/jdk1.7.0_45
export HADOOP_PID_DIR=/home/hadoop/pid
export HADOOP_LOG_DIR=/home/hadoop/log
[[email protected] opt]$ source /etc/profile
[[email protected] opt]$ source /opt/hadoop/hadoop-2.9.0/etc/hadoop/hadoop-env.sh
[[email protected] opt]$
[[email protected] opt]$ hadoop version
Hadoop 2.9.0
Subversion https://git-wip-us.apache.org/repos/asf/hadoop.git -r 756ebc8394e473ac25feac05fa493f6d612e6c50
Compiled by arsuresh on 2017-11-13T23:15Z
Compiled with protoc 2.5.0
From source with checksum 0a76a9a32a5257331741f8d5932f183
This command was run using /opt/hadoop/hadoop-2.9.0/share/hadoop/common/hadoop-common-2.9.0.jar
[[email protected] opt]$
6.5.4. 配置yarn-env.sh
[[email protected] opt]$ vi /opt/hadoop/hadoop-2.9.0/etc/hadoop/yarn-env.sh
[[email protected] opt]$
# export JAVA_HOME=/home/y/libexec/jdk1.6.0/
export JAVA_HOME=/opt/java/jdk1.7.0_45
6.5.5. 配置etc/hadoop/core-site.xml
<configuration>
<property>
<name>hadoop.tmp.dir</name>
<value>/opt/hadoop/tmp</value>
</property>
<property>
<name>fs.defaultFS</name>
<value>hdfs://192.168.1.221:9000</value>
</property>
<property>
<name>io.file.buffer.size</name>
<value>4096</value>
</property>
</configuration>
6.5.6. 配置etc/hadoop/hdfs-site.xml
<configuration>
<property>
<name>dfs.namenode.http-address</name>
<value>192.168.1.121:50070</value>
</property>
<property>
<name>dfs.namenode.http-bind-host</name>
<value>192.168.1.121</value>
</property>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>192.168.1.122:50090</value>
</property>
<property>
<name>dfs.replication</name>
<value>2</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/opt/hadoop/data/hdfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/opt/hadoop/data/hdfs/data</value>
</property>
<property>
<name>dfs.namenode.checkpoint.dir</name>
<value>/opt/hadoop/data/hdfs/checkpoint</value>
</property>
<property>
<name>dfs.blocksize</name>
<value>67108864</value>
</property>
</configuration>
6.5.7. 配置etc/hadoop/mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
6.5.8. 配置etc/hadoop/yarn-site.xml
<configuration>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>192.168.1.121</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.local-dirs</name>
<value>/opt/hadoop/data/yarn/local</value>
</property>
</configuration>
6.5.9. 配置etc/hadoop/slaves
[[email protected] hadoop]$ vi /opt/hadoop/hadoop-2.9.0/etc/hadoop/slaves
192.168.1.111
192.168.1.112
192.168.1.113
6.6. 将配置文件复制到所有其它节点上
[[email protected] hadoop]$ scp core-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
core-site.xml 100% 1042 233.7KB/s 00:00
[[email protected] hadoop]$ scp core-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
core-site.xml 100% 1042 529.6KB/s 00:00
[[email protected] hadoop]$ scp core-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
core-site.xml 100% 1042 435.4KB/s 00:00
[[email protected] hadoop]$ scp core-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
core-site.xml 100% 1042 331.9KB/s 00:00
[[email protected] hadoop]$ scp hdfs-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
hdfs-site.xml 100% 1655 349.8KB/s 00:00
[[email protected] hadoop]$ scp hdfs-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
hdfs-site.xml 100% 1655 380.2KB/s 00:00
[[email protected] hadoop]$ scp hdfs-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
hdfs-site.xml 100% 1655 953.8KB/s 00:00
[[email protected] hadoop]$ scp hdfs-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
hdfs-site.xml 100% 1655 1.6MB/s 00:00
[[email protected] hadoop]$ scp mapred-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
mapred-site.xml 100% 844 241.9KB/s 00:00
[[email protected] hadoop]$ scp mapred-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
mapred-site.xml 100% 844 251.0KB/s 00:00
[[email protected] hadoop]$ scp mapred-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
mapred-site.xml 100% 844 211.0KB/s 00:00
[[email protected] hadoop]$ scp mapred-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
mapred-site.xml 100% 844 256.3KB/s 00:00
[[email protected] hadoop]$ scp yarn-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
yarn-site.xml 100% 1016 254.6KB/s 00:00
[[email protected] hadoop]$ scp yarn-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
yarn-site.xml 100% 1016 531.6KB/s 00:00
[[email protected] hadoop]$ scp yarn-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
yarn-site.xml 100% 1016 378.3KB/s 00:00
[[email protected] hadoop]$ scp yarn-site.xml [email protected]:/opt/hadoop/hadoop-2.9.0/etc/hadoop/
yarn-site.xml 100% 1016 303.9KB/s 00:00
[[email protected] hadoop]$
7. 启动
7.1. 启动HDFS
7.1.1. 格式化NameNode
[[email protected] hadoop]$ hdfs namenode -format
18/04/15 19:47:45 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG: host = namenode.smartmap.com/192.168.1.121
STARTUP_MSG: args = [-format]
STARTUP_MSG: version = 2.9.0
7.1.2. 启动与停止HDFS
[[email protected] hadoop]$ . /opt/hadoop/hadoop-2.9.0/sbin/start-dfs.sh
/usr/bin/which: invalid option -- ‘b‘
/usr/bin/which: invalid option -- ‘s‘
/usr/bin/which: invalid option -- ‘h‘
Usage: /usr/bin/which [options] [--] COMMAND [...]
Write the full path of COMMAND(s) to standard output.
……
Report bugs to< [email protected]>.
Starting namenodes on [nameNode]
nameNode: starting namenode, logging to /home/hadoop/log/hadoop-hadoop-namenode-namenode.smartmap.com.out
192.168.1.112: starting datanode, logging to /home/hadoop/log/hadoop-hadoop-datanode-datanode102.smartmap.com.out
192.168.1.111: starting datanode, logging to /home/hadoop/log/hadoop-hadoop-datanode-datanode101.smartmap.com.out
192.168.1.113: starting datanode, logging to /home/hadoop/log/hadoop-hadoop-datanode-datanode103.smartmap.com.out
Starting secondary namenodes [secondaryNameNode]
secondaryNameNode: starting secondarynamenode, logging to /home/hadoop/log/hadoop-hadoop-secondarynamenode-secondarynamenode.smartmap.com.out
[[email protected] hadoop]$ . /opt/hadoop/hadoop-2.9.0/sbin/stop-dfs.sh
/usr/bin/which: invalid option -- ‘b‘
/usr/bin/which: invalid option -- ‘s‘
/usr/bin/which: invalid option -- ‘h‘
Usage: /usr/bin/which [options] [--] COMMAND [...]
Write the full path of COMMAND(s) to standard output.
……
Report bugs to< [email protected]>.
Stopping namenodes on [nameNode]
nameNode: stopping namenode
192.168.1.113: stopping datanode
192.168.1.111: stopping datanode
192.168.1.112: stopping datanode
Stopping secondary namenodes [secondaryNameNode]
secondaryNameNode: stopping secondarynamenode
[[email protected] hadoop]$
7.2. 启动YARN
[[email protected] sbin]$ . /opt/hadoop/hadoop-2.9.0/sbin/start-yarn.sh
starting yarn daemons
/usr/bin/which: invalid option -- ‘b‘
/usr/bin/which: invalid option -- ‘s‘
/usr/bin/which: invalid option -- ‘h‘
Usage: /usr/bin/which [options] [--] COMMAND [...]
Write the full path of COMMAND(s) to standard output.
……
Report bugs to< [email protected]>.
starting resourcemanager, logging to /opt/hadoop/hadoop-2.9.0/logs/yarn-hadoop-resourcemanager-namenode.smartmap.com.out
192.168.1.113: starting nodemanager, logging to /opt/hadoop/hadoop-2.9.0/logs/yarn-hadoop-nodemanager-datanode103.smartmap.com.out
192.168.1.112: starting nodemanager, logging to /opt/hadoop/hadoop-2.9.0/logs/yarn-hadoop-nodemanager-datanode102.smartmap.com.out
192.168.1.111: starting nodemanager, logging to /opt/hadoop/hadoop-2.9.0/logs/yarn-hadoop-nodemanager-datanode101.smartmap.com.out
[[email protected] sbin]$
设置logger级别，看下具体原因
export HADOOP_ROOT_LOGGER=DEBUG,console
7.3. 启动所有服务
[[email protected] sbin]$ . /opt/hadoop/hadoop-2.9.0/sbin/start-all..sh
-bash: /opt/hadoop/hadoop-2.9.0/sbin/start-all..sh: No such file or directory
[[email protected] sbin]$ . /opt/hadoop/hadoop-2.9.0/sbin/start-all.sh
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
Starting namenodes on [nameNode]
nameNode: starting namenode, logging to /home/hadoop/log/hadoop-hadoop-namenode-namenode.smartmap.com.out
192.168.1.111: starting datanode, logging to /home/hadoop/log/hadoop-hadoop-datanode-datanode101.smartmap.com.out
192.168.1.113: starting datanode, logging to /home/hadoop/log/hadoop-hadoop-datanode-datanode103.smartmap.com.out
192.168.1.112: starting datanode, logging to /home/hadoop/log/hadoop-hadoop-datanode-datanode102.smartmap.com.out
Starting secondary namenodes [secondaryNameNode]
secondaryNameNode: starting secondarynamenode, logging to /home/hadoop/log/hadoop-hadoop-secondarynamenode-secondarynamenode.smartmap.com.out
starting yarn daemons
starting resourcemanager, logging to /opt/hadoop/hadoop-2.9.0/logs/yarn-hadoop-resourcemanager-namenode.smartmap.com.out
192.168.1.111: starting nodemanager, logging to /opt/hadoop/hadoop-2.9.0/logs/yarn-hadoop-nodemanager-datanode101.smartmap.com.out
192.168.1.112: starting nodemanager, logging to /opt/hadoop/hadoop-2.9.0/logs/yarn-hadoop-nodemanager-datanode102.smartmap.com.out
192.168.1.113: starting nodemanager, logging to /opt/hadoop/hadoop-2.9.0/logs/yarn-hadoop-nodemanager-datanode103.smartmap.com.out
[[email protected] sbin]$
[[email protected] sbin]$ . /opt/hadoop/hadoop-2.9.0/sbin/stop-all.sh
This script is Deprecated. Instead use stop-dfs.sh and stop-yarn.sh
Stopping namenodes on [nameNode]
nameNode: stopping namenode
192.168.1.111: stopping datanode
192.168.1.112: stopping datanode
192.168.1.113: stopping datanode
Stopping secondary namenodes [secondaryNameNode]
secondaryNameNode: stopping secondarynamenode
stopping yarn daemons
stopping resourcemanager
192.168.1.111: stopping nodemanager
192.168.1.113: stopping nodemanager
192.168.1.112: stopping nodemanager
192.168.1.111: nodemanager did not stop gracefully after 5 seconds: killing with kill -9
192.168.1.113: nodemanager did not stop gracefully after 5 seconds: killing with kill -9
192.168.1.112: nodemanager did not stop gracefully after 5 seconds: killing with kill -9
no proxyserver to stop
[[email protected] sbin]$
7.4. 查看服务器上Hadoop的服务进程情况
[[email protected] sbin]$ jps
3729 ResourceManager
4012 Jps
3444 NameNode
7.5. 查看节点情况
[[email protected] sbin]$ hadoop dfsadmin -report
DEPRECATED: Use of this script to execute hdfs command is deprecated.
Instead use the hdfs command for it.
Configured Capacity: 115907493888 (107.95 GB)
Present Capacity: 109141913600 (101.65 GB)
DFS Remaining: 109141876736 (101.65 GB)
DFS Used: 36864 (36 KB)
DFS Used%: 0.00%
Under replicated blocks: 0
Blocks with corrupt replicas: 0
Missing blocks: 0
Missing blocks (with replication factor 1): 0
Pending deletion blocks: 0
-------------------------------------------------
Live datanodes (3):
Name: 192.168.1.111:50010 (dataNode101)
Hostname: dataNode101
Decommission Status : Normal
Configured Capacity: 38635831296 (35.98 GB)
DFS Used: 12288 (12 KB)
Non DFS Used: 2255196160 (2.10 GB)
DFS Remaining: 36380622848 (33.88 GB)
DFS Used%: 0.00%
DFS Remaining%: 94.16%
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: Sun Apr 15 21:03:11 CST 2018
Last Block Report: Sun Apr 15 20:10:07 CST 2018
Name: 192.168.1.112:50010 (dataNode102)
Hostname: dataNode102
Decommission Status : Normal
Configured Capacity: 38635831296 (35.98 GB)
DFS Used: 12288 (12 KB)
Non DFS Used: 2255192064 (2.10 GB)
DFS Remaining: 36380626944 (33.88 GB)
DFS Used%: 0.00%
DFS Remaining%: 94.16%
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: Sun Apr 15 21:03:11 CST 2018
Last Block Report: Sun Apr 15 20:10:07 CST 2018
Name: 192.168.1.113:50010 (dataNode103)
Hostname: dataNode103
Decommission Status : Normal
Configured Capacity: 38635831296 (35.98 GB)
DFS Used: 12288 (12 KB)
Non DFS Used: 2255192064 (2.10 GB)
DFS Remaining: 36380626944 (33.88 GB)
DFS Used%: 0.00%
DFS Remaining%: 94.16%
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: Sun Apr 15 21:03:11 CST 2018
Last Block Report: Sun Apr 15 20:10:07 CST 2018
[[email protected] sbin]$
7.6. 通过网页查看集群
http://192.168.1.121:50070/dfshealth.html#tab-overview
http://192.168.1.121:8088/cluster
8. 如何运行自带wordcount
8.1. 找到该程序所在的位置
[[email protected] sbin]$ cd /opt/hadoop/hadoop-2.9.0/share/hadoop/mapreduce/
[[email protected] mapreduce]$ ll
total 5196
-rw-r--r-- 1 hadoop hadoop 571621 Nov 14 07:28 hadoop-mapreduce-client-app-2.9.0.jar
-rw-r--r-- 1 hadoop hadoop 787871 Nov 14 07:28 hadoop-mapreduce-client-common-2.9.0.jar
-rw-r--r-- 1 hadoop hadoop 1611701 Nov 14 07:28 hadoop-mapreduce-client-core-2.9.0.jar
-rw-r--r-- 1 hadoop hadoop 200628 Nov 14 07:28 hadoop-mapreduce-client-hs-2.9.0.jar
-rw-r--r-- 1 hadoop hadoop 32802 Nov 14 07:28 hadoop-mapreduce-client-hs-plugins-2.9.0.jar
-rw-r--r-- 1 hadoop hadoop 71360 Nov 14 07:28 hadoop-mapreduce-client-jobclient-2.9.0.jar
-rw-r--r-- 1 hadoop hadoop 1623508 Nov 14 07:28 hadoop-mapreduce-client-jobclient-2.9.0-tests.jar
-rw-r--r-- 1 hadoop hadoop 85175 Nov 14 07:28 hadoop-mapreduce-client-shuffle-2.9.0.jar
-rw-r--r-- 1 hadoop hadoop 303317 Nov 14 07:28 hadoop-mapreduce-examples-2.9.0.jar
drwxr-xr-x 2 hadoop hadoop 4096 Nov 14 07:28 jdiff
drwxr-xr-x 2 hadoop hadoop 4096 Nov 14 07:28 lib
drwxr-xr-x 2 hadoop hadoop 30 Nov 14 07:28 lib-examples
drwxr-xr-x 2 hadoop hadoop 4096 Nov 14 07:28 sources
[[email protected] mapreduce]$
8.2. 准备数据
8.2.1. 先在HDFS创建几个数据目录
[[email protected] mapreduce]$ hadoop fs -mkdir -p /data/wordcount
[[email protected] mapreduce]$ hadoop fs -mkdir -p /output/
[[email protected] mapreduce]$
目录/data/wordcount用来存放Hadoop自带的WordCount例子的数据文件，运行这个MapReduce任务的结果输出到/output/wordcount目录中
8.2.2. 创建测试数据
[[email protected] mapreduce]$ vi /opt/hadoop/inputWord
8.2.3. 上传数据
[[email protected] mapreduce]$ hadoop fs -put /opt/hadoop/inputWord /data/wordcount/
8.2.4. 显示文件
[[email protected] mapreduce]$ hadoop fs -ls /data/wordcount/
Found 1 items
-rw-r--r-- 2 hadoop supergroup 241 2018-04-15 22:01 /data/wordcount/inputWord
8.2.5. 查看文件内容
[[email protected] mapreduce]$ hadoop fs -text /data/wordcount/inputWord
hello smartmap
hello gispathfinder
language c
language c++
language c#
language java
language python
language r
web javascript
web html
web css
gis arcgis
gis supermap
gis mapinfo
gis qgis
gis grass
gis sage
webgis leaflet
webgis openlayers
[[email protected] mapreduce]$
8.3. 运行WordCount例子
[[email protected] mapreduce]$ hadoop jar /opt/hadoop/hadoop-2.9.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.9.0.jar wordcount /data/wordcount /output/wordcount
18/04/15 22:10:08 INFO client.RMProxy: Connecting to ResourceManager at /192.168.1.121:8032
18/04/15 22:10:09 INFO input.FileInputFormat: Total input files to process : 1
18/04/15 22:10:09 INFO mapreduce.JobSubmitter: number of splits:1
18/04/15 22:10:09 INFO Configuration.deprecation: yarn.resourcemanager.system-metrics-publisher.enabled is deprecated. Instead, use yarn.system-metrics-publisher.enabled
18/04/15 22:10:10 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1523794216379_0001
18/04/15 22:10:10 INFO impl.YarnClientImpl: Submitted application application_1523794216379_0001
18/04/15 22:10:10 INFO mapreduce.Job: The url to track the job: http://nameNode:8088/proxy/application_1523794216379_0001/
18/04/15 22:10:10 INFO mapreduce.Job: Running job: job_1523794216379_0001
18/04/15 22:10:20 INFO mapreduce.Job: Job job_1523794216379_0001 running in uber mode : false
18/04/15 22:10:20 INFO mapreduce.Job: map 0% reduce 0%
18/04/15 22:10:30 INFO mapreduce.Job: map 100% reduce 0%
18/04/15 22:10:40 INFO mapreduce.Job: map 100% reduce 100%
18/04/15 22:10:40 INFO mapreduce.Job: Job job_1523794216379_0001 completed successfully
18/04/15 22:10:40 INFO mapreduce.Job: Counters: 49
File System Counters
FILE: Number of bytes read=305
FILE: Number of bytes written=404363
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=356
HDFS: Number of bytes written=203
HDFS: Number of read operations=6
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=7775
Total time spent by all reduces in occupied slots (ms)=6275
Total time spent by all map tasks (ms)=7775
Total time spent by all reduce tasks (ms)=6275
Total vcore-milliseconds taken by all map tasks=7775
Total vcore-milliseconds taken by all reduce tasks=6275
Total megabyte-milliseconds taken by all map tasks=7961600
Total megabyte-milliseconds taken by all reduce tasks=6425600
Map-Reduce Framework
Map input records=19
Map output records=38
Map output bytes=393
Map output materialized bytes=305
Input split bytes=115
Combine input records=38
Combine output records=24
Reduce input groups=24
Reduce shuffle bytes=305
Reduce input records=24
Reduce output records=24
Spilled Records=48
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=1685
CPU time spent (ms)=2810
Physical memory (bytes) snapshot=476082176
Virtual memory (bytes) snapshot=1810911232
Total committed heap usage (bytes)=317718528
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=241
File Output Format Counters
Bytes Written=203
[[email protected] mapreduce]$
8.4. 查看结果
8.4.1. 通过服务器上查看
[[email protected] mapreduce]$ hadoop fs -ls /output/wordcount
Found 2 items
-rw-r--r-- 2 hadoop supergroup 0 2018-04-15 22:10 /output/wordcount/_SUCCESS
-rw-r--r-- 2 hadoop supergroup 203 2018-04-15 22:10 /output/wordcount/part-r-00000
[[email protected] mapreduce]$ hadoop fs -text /output/wordcount/part-r-00000
arcgis 1
c 1
c# 1
c++ 1
css 1
gis 6
gispathfinder 1
grass 1
hello 2
html 1
java 1
javascript 1
language 6
leaflet 1
mapinfo 1
openlayers 1
python 1
qgis 1
r 1
sage 1
smartmap 1
supermap 1
web 3
webgis 2
[[email protected] mapreduce]$
8.4.2. 通过Web UI查看
http://192.168.1.121:50070/explorer.html#/output/wordcount
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