Hadoop - 操作练习之单机配置 - Hadoop2.8.0/Ubuntu16.04

系统版本

anliven@Ubuntu1604:~$ uname -a
Linux Ubuntu1604 4.8.0-36-generic #36~16.04.1-Ubuntu SMP Sun Feb 5 09:39:57 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux
anliven@Ubuntu1604:~$
anliven@Ubuntu1604:~$ cat /proc/version
Linux version 4.8.0-36-generic (buildd@lgw01-18) (gcc version 5.4.0 20160609 (Ubuntu 5.4.0-6ubuntu1~16.04.4) ) #36~16.04.1-Ubuntu SMP Sun Feb 5 09:39:57 UTC 2017
anliven@Ubuntu1604:~$
anliven@Ubuntu1604:~$ lsb_release -a
No LSB modules are available.
Distributor ID:	Ubuntu
Description:	Ubuntu 16.04.2 LTS
Release:	16.04
Codename:	xenial
anliven@Ubuntu1604:~$

创建hadoop用户

anliven@Ubuntu1604:~$ sudo useradd -m hadoop -s /bin/bash
anliven@Ubuntu1604:~$ sudo passwd hadoop
输入新的 UNIX 密码：
重新输入新的 UNIX 密码：
passwd：已成功更新密码
anliven@Ubuntu1604:~$
anliven@Ubuntu1604:~$ sudo adduser hadoop sudo
正在添加用户"hadoop"到"sudo"组...
正在将用户“hadoop”加入到“sudo”组中
完成。
anliven@Ubuntu1604:~$

更新apt及安装vim

hadoop@Ubuntu1604:~$ sudo apt-get update
命中:1 http://mirrors.aliyun.com/ubuntu xenial InRelease
命中:2 http://mirrors.aliyun.com/ubuntu xenial-updates InRelease
命中:3 http://mirrors.aliyun.com/ubuntu xenial-backports InRelease
命中:4 http://mirrors.aliyun.com/ubuntu xenial-security InRelease
正在读取软件包列表... 完成
hadoop@Ubuntu1604:~$
hadoop@Ubuntu1604:~$ sudo apt-get install vim
正在读取软件包列表... 完成
正在分析软件包的依赖关系树
正在读取状态信息... 完成
vim 已经是最新版 (2:7.4.1689-3ubuntu1.2)。
升级了 0 个软件包，新安装了 0 个软件包，要卸载 0 个软件包，有 50 个软件包未被升级。
hadoop@Ubuntu1604:~$

配置SSH免密码登录

hadoop@Ubuntu1604:~$ sudo apt-get install openssh-server
正在读取软件包列表... 完成
正在分析软件包的依赖关系树
正在读取状态信息... 完成
openssh-server 已经是最新版 (1:7.2p2-4ubuntu2.1)。
升级了 0 个软件包，新安装了 0 个软件包，要卸载 0 个软件包，有 50 个软件包未被升级。
hadoop@Ubuntu1604:~$
hadoop@Ubuntu1604:~$ cd ~
hadoop@Ubuntu1604:~$ mkdir .ssh
hadoop@Ubuntu1604:~$ cd .ssh
hadoop@Ubuntu1604:~/.ssh$ ssh-keygen -t rsa
Generating public/private rsa key pair.
Enter file in which to save the key (/home/hadoop/.ssh/id_rsa):
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:DzjVWgTQB5I1JGRBmWi6gVHJ03V4WnJZEdojtbou0DM hadoop@Ubuntu1604
The key's randomart image is:
+---[RSA 2048]----+
| o.o =X@B=*o     |
|. + +.*+*B..     |
| o +   *+.*      |
|. o   .o = .     |
|   o .o S        |
|  . . E. +       |
|     . o. .      |
|      ..         |
|       ..        |
+----[SHA256]-----+
hadoop@Ubuntu1604:~/.ssh$
hadoop@Ubuntu1604:~/.ssh$ cat id_rsa.pub >> authorized_keys
hadoop@Ubuntu1604:~/.ssh$ ls -l
总用量 12
-rw-rw-r-- 1 hadoop hadoop  399 4月  27 07:33 authorized_keys
-rw------- 1 hadoop hadoop 1679 4月  27 07:32 id_rsa
-rw-r--r-- 1 hadoop hadoop  399 4月  27 07:32 id_rsa.pub
hadoop@Ubuntu1604:~/.ssh$
hadoop@Ubuntu1604:~/.ssh$ cd
hadoop@Ubuntu1604:~$
hadoop@Ubuntu1604:~$ ssh localhost
The authenticity of host 'localhost (127.0.0.1)' can't be established.
ECDSA key fingerprint is SHA256:fZ7fAvnnFk0/Imkn0YPdc2Gzxnfr0IJGSRb1swbm7oU.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'localhost' (ECDSA) to the list of known hosts.
Welcome to Ubuntu 16.04.2 LTS (GNU/Linux 4.8.0-36-generic x86_64)

 * Documentation:  https://help.ubuntu.com
 * Management:     https://landscape.canonical.com
 * Support:        https://ubuntu.com/advantage

44 个可升级软件包。
0 个安全更新。

*** 需要重启系统 ***
Last login: Thu Apr 27 07:25:26 2017 from 192.168.16.1
hadoop@Ubuntu1604:~$
hadoop@Ubuntu1604:~$ exit
注销
Connection to localhost closed.
hadoop@Ubuntu1604:~$

安装Java

hadoop@Ubuntu1604:~$ dpkg -l |grep jdk
hadoop@Ubuntu1604:~$
hadoop@Ubuntu1604:~$ sudo apt-get install openjdk-8-jre openjdk-8-jdk
正在读取软件包列表... 完成
正在分析软件包的依赖关系树
正在读取状态信息... 完成
将会同时安装下列软件：
......
......
......
done.
正在处理用于 libc-bin (2.23-0ubuntu7) 的触发器 ...
正在处理用于 ca-certificates (20160104ubuntu1) 的触发器 ...
Updating certificates in /etc/ssl/certs...
0 added, 0 removed; done.
Running hooks in /etc/ca-certificates/update.d...
done.
done.
hadoop@Ubuntu1604:~$
hadoop@Ubuntu1604:~$ dpkg -l |grep jdk
ii  openjdk-8-jdk:amd64                        8u121-b13-0ubuntu1.16.04.2                    amd64        OpenJDK Development Kit (JDK)
ii  openjdk-8-jdk-headless:amd64               8u121-b13-0ubuntu1.16.04.2                    amd64        OpenJDK Development Kit (JDK) (headless)
ii  openjdk-8-jre:amd64                        8u121-b13-0ubuntu1.16.04.2                    amd64        OpenJDK Java runtime, using Hotspot JIT
ii  openjdk-8-jre-headless:amd64               8u121-b13-0ubuntu1.16.04.2                    amd64        OpenJDK Java runtime, using Hotspot JIT (headless)
hadoop@Ubuntu1604:~$
hadoop@Ubuntu1604:~$ dpkg -L openjdk-8-jdk | grep '/bin$'
/usr/lib/jvm/java-8-openjdk-amd64/bin
hadoop@Ubuntu1604:~$
hadoop@Ubuntu1604:~$ vim ~/.bashrc
hadoop@Ubuntu1604:~$
hadoop@Ubuntu1604:~$ head ~/.bashrc |grep java
export JAVA_HOME="/usr/lib/jvm/java-8-openjdk-amd64"
hadoop@Ubuntu1604:~$
hadoop@Ubuntu1604:~$ source ~/.bashrc
hadoop@Ubuntu1604:~$
hadoop@Ubuntu1604:~$ echo $JAVA_HOME
/usr/lib/jvm/java-8-openjdk-amd64
hadoop@Ubuntu1604:~$
hadoop@Ubuntu1604:~$ java -version
openjdk version "1.8.0_121"
OpenJDK Runtime Environment (build 1.8.0_121-8u121-b13-0ubuntu1.16.04.2-b13)
OpenJDK 64-Bit Server VM (build 25.121-b13, mixed mode)
hadoop@Ubuntu1604:~$

安装Hadoop

hadoop@Ubuntu1604:~$ sudo tar -zxf ~/hadoop-2.8.0.tar.gz -C /usr/local
[sudo] hadoop 的密码：
hadoop@Ubuntu1604:~$ cd /usr/local
hadoop@Ubuntu1604:/usr/local$ sudo mv ./hadoop-2.8.0/ ./hadoop
hadoop@Ubuntu1604:/usr/local$ sudo chown -R hadoop ./hadoop
hadoop@Ubuntu1604:/usr/local$ ls -l |grep hadoop
drwxr-xr-x 9 hadoop dialout 4096 3月  17 13:31 hadoop
hadoop@Ubuntu1604:/usr/local$ cd ./hadoop
hadoop@Ubuntu1604:/usr/local/hadoop$ ls -l
总用量 148
drwxr-xr-x 2 hadoop dialout  4096 3月  17 13:31 bin
drwxr-xr-x 3 hadoop dialout  4096 3月  17 13:31 etc
drwxr-xr-x 2 hadoop dialout  4096 3月  17 13:31 include
drwxr-xr-x 3 hadoop dialout  4096 3月  17 13:31 lib
drwxr-xr-x 2 hadoop dialout  4096 3月  17 13:31 libexec
-rw-r--r-- 1 hadoop dialout 99253 3月  17 13:31 LICENSE.txt
-rw-r--r-- 1 hadoop dialout 15915 3月  17 13:31 NOTICE.txt
-rw-r--r-- 1 hadoop dialout  1366 3月  17 13:31 README.txt
drwxr-xr-x 2 hadoop dialout  4096 3月  17 13:31 sbin
drwxr-xr-x 4 hadoop dialout  4096 3月  17 13:31 share
hadoop@Ubuntu1604:/usr/local/hadoop$ ./bin/hadoop version
Hadoop 2.8.0
Subversion https://git-wip-us.apache.org/repos/asf/hadoop.git -r 91f2b7a13d1e97be65db92ddabc627cc29ac0009
Compiled by jdu on 2017-03-17T04:12Z
Compiled with protoc 2.5.0
From source with checksum 60125541c2b3e266cbf3becc5bda666
This command was run using /usr/local/hadoop/share/hadoop/common/hadoop-common-2.8.0.jar
hadoop@Ubuntu1604:/usr/local/hadoop$

运行Hadoop单机配置下的grep示例

Hadoop 默认模式为非分布式模式（本地模式），无需进行其他配置即可运行。非分布式即单 Java 进程，方便进行调试。

hadoop@Ubuntu1604:~$ cd /usr/local/hadoop/
hadoop@Ubuntu1604:/usr/local/hadoop$ mkdir ./input
hadoop@Ubuntu1604:/usr/local/hadoop$ cp ./etc/hadoop/*.xml ./input/
hadoop@Ubuntu1604:/usr/local/hadoop$ ls -l input/
总用量 56
drwxrwxr-x  2 hadoop hadoop  4096 4月  27 22:23 ./
drwxr-xr-x 10 hadoop dialout 4096 4月  27 22:23 ../
-rw-r--r--  1 hadoop hadoop  4942 4月  27 22:23 capacity-scheduler.xml
-rw-r--r--  1 hadoop hadoop   774 4月  27 22:23 core-site.xml
-rw-r--r--  1 hadoop hadoop  9683 4月  27 22:23 hadoop-policy.xml
-rw-r--r--  1 hadoop hadoop   775 4月  27 22:23 hdfs-site.xml
-rw-r--r--  1 hadoop hadoop   620 4月  27 22:23 httpfs-site.xml
-rw-r--r--  1 hadoop hadoop  3518 4月  27 22:23 kms-acls.xml
-rw-r--r--  1 hadoop hadoop  5546 4月  27 22:23 kms-site.xml
-rw-r--r--  1 hadoop hadoop   690 4月  27 22:23 yarn-site.xml
hadoop@Ubuntu1604:/usr/local/hadoop$ ./bin/hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-2.8.0.jar grep ./input ./output 'dfs[a-z.]+'
17/04/27 22:29:45 INFO Configuration.deprecation: session.id is deprecated. Instead, use dfs.metrics.session-id
17/04/27 22:29:45 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId=
17/04/27 22:29:45 INFO input.FileInputFormat: Total input files to process : 8
17/04/27 22:29:45 INFO mapreduce.JobSubmitter: number of splits:8
......
......
......
17/04/27 22:29:49 INFO mapreduce.Job: Counters: 30
	File System Counters
		FILE: Number of bytes read=1273712
		FILE: Number of bytes written=2504878
		FILE: Number of read operations=0
		FILE: Number of large read operations=0
		FILE: Number of write operations=0
	Map-Reduce Framework
		Map input records=1
		Map output records=1
		Map output bytes=17
		Map output materialized bytes=25
		Input split bytes=121
		Combine input records=0
		Combine output records=0
		Reduce input groups=1
		Reduce shuffle bytes=25
		Reduce input records=1
		Reduce output records=1
		Spilled Records=2
		Shuffled Maps =1
		Failed Shuffles=0
		Merged Map outputs=1
		GC time elapsed (ms)=0
		Total committed heap usage (bytes)=1054867456
	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=123
	File Output Format Counters
		Bytes Written=23
hadoop@Ubuntu1604:/usr/local/hadoop$
hadoop@Ubuntu1604:/usr/local/hadoop$ ls -l ./output/
总用量 4
-rw-r--r-- 1 hadoop hadoop 11 4月  27 22:29 part-r-00000
-rw-r--r-- 1 hadoop hadoop  0 4月  27 22:29 _SUCCESS
hadoop@Ubuntu1604:/usr/local/hadoop$
hadoop@Ubuntu1604:/usr/local/hadoop$ cat ./output/*
1	dfsadmin
hadoop@Ubuntu1604:/usr/local/hadoop$

Hadoop 默认不会覆盖结果文件，再次运行前需要先将output目录删除。

hadoop@Ubuntu1604:/usr/local/hadoop$ rm -rf ./output

Hadoop附带示例

hadoop@Ubuntu1604:/usr/local/hadoop$ ./bin/hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-2.8.0.jar
An example program must be given as the first argument.
Valid program names are:
  aggregatewordcount: An Aggregate based map/reduce program that counts the words in the input files.
  aggregatewordhist: An Aggregate based map/reduce program that computes the histogram of the words in the input files.
  bbp: A map/reduce program that uses Bailey-Borwein-Plouffe to compute exact digits of Pi.
  dbcount: An example job that count the pageview counts from a database.
  distbbp: A map/reduce program that uses a BBP-type formula to compute exact bits of Pi.
  grep: A map/reduce program that counts the matches of a regex in the input.
  join: A job that effects a join over sorted, equally partitioned datasets
  multifilewc: A job that counts words from several files.
  pentomino: A map/reduce tile laying program to find solutions to pentomino problems.
  pi: A map/reduce program that estimates Pi using a quasi-Monte Carlo method.
  randomtextwriter: A map/reduce program that writes 10GB of random textual data per node.
  randomwriter: A map/reduce program that writes 10GB of random data per node.
  secondarysort: An example defining a secondary sort to the reduce.
  sort: A map/reduce program that sorts the data written by the random writer.
  sudoku: A sudoku solver.
  teragen: Generate data for the terasort
  terasort: Run the terasort
  teravalidate: Checking results of terasort
  wordcount: A map/reduce program that counts the words in the input files.
  wordmean: A map/reduce program that counts the average length of the words in the input files.
  wordmedian: A map/reduce program that counts the median length of the words in the input files.
  wordstandarddeviation: A map/reduce program that counts the standard deviation of the length of the words in the input files.
hadoop@Ubuntu1604:/usr/local/hadoop$