安装hadoop1.2.1集群环境分类： A1_HADOOP 2014-08-29 15:49 1444人阅读评论(0) 收藏

2023-02-12 19:36:27

一、规划

（一）硬件资源

10.171.29.191 master

10.173.54.84 slave1

10.171.114.223 slave2

（二）基本资料

用户： jediael

目录：/opt/jediael/

二、环境配置

（一）统一用户名密码，并为jediael赋予执行所有命令的权限

#passwd

# useradd jediael

# passwd jediael

# vi /etc/sudoers

增加以下一行：

jediael ALL=(ALL) ALL

（二）创建目录/opt/jediael

$sudo chown jediael:jediael /opt

$ cd /opt

$ sudo mkdir jediael

注意:/opt必须是jediael的，否则会在format namenode时出错。

（三）修改用户名及/etc/hosts文件

1、修改/etc/sysconfig/network

NETWORKING=yes

HOSTNAME=*******

2、修改/etc/hosts

10.171.29.191 master

10.173.54.84  slave1

10.171.114.223 slave2

注意hosts文件不能有127.0.0.1 *****配置，否则会导致出现异常。org.apache.hadoop.ipc.Client: Retrying connect to server: master/10.171.29.191:9000. Already trie

3、hostname命令

hostname ****

（四）配置免密码登录

以上命令在master上使用jediael用户执行：

$ ssh-keygen -t dsa -P '' -f ~/.ssh/id_dsa

$ cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys

然后，将authorized_keys复制到slave1,slave2

scp ~/.ssh/authorized_keys slave1:~/.ssh/

scp ~/.ssh/authorized_keys slave2:~/.ssh/

注意

（1）若提示.ssh目录不存在，则表示此机器从未运行过ssh，因此运行一次即可创建.ssh目录。

（2）.ssh/的权限为600,authorized_keys的权限为700，权限大了小了都不行。

（五）在3台机器上分别安装java，并设置相关环境变量

参考http://blog.csdn.net/jediael_lu/article/details/38925871

（六）下载hadoop-1.2.1.tar.gz，并将其解压到/opt/jediael

三、修改配置文件

【3台机器上均要执行】

（一）修改conf/hadoop_env.sh

export JAVA_HOME=/usr/java/jdk1.7.0_51

（二）修改core-site.xml

<property>

 <name>fs.default.name</name>

 <value>hdfs://master:9000</value>

</property>

<property>

 <name>hadoop.tmp.dir</name>

 <value>/opt/tmphadoop</value>

</property>

（三）修改hdfs-site.xml

<property>

 <name>dfs.replication</name>

 <value>2</value>

</property>

（四）修改mapred-site.xml

<property>

 <name>mapred.job.tracker</name>

 <value>master:9001</value>

</property>

（五）修改master及slaves

master:

master

slaves:

slave1

slave2

可以在master中完成上述配置，然后使用scp命令复制到slave1与slave2上。

如：

$scp core-site.xml slave2:/opt/jediael/hadoop-1.2.1/conf

四、启动并验证

1、格式化namenode【此步骤在3台机器上均要运行】

[jediael@master hadoop-1.2.1]$  bin/hadoop namenode -format

15/01/21 15:13:40 INFO namenode.NameNode: STARTUP_MSG:

/************************************************************

STARTUP_MSG: Starting NameNode

STARTUP_MSG:   host = master/10.171.29.191

STARTUP_MSG:   args = [-format]

STARTUP_MSG:   version = 1.2.1

STARTUP_MSG:   build = https://svn.apache.org/repos/asf/hadoop/common/branches/branch-1.2 -r 1503152; compiled by 'mattf' on Mon Jul 22 15:23:09 PDT 2013

STARTUP_MSG:   java = 1.7.0_51

************************************************************/

Re-format filesystem in /opt/tmphadoop/dfs/name ? (Y or N) Y

15/01/21 15:13:43 INFO util.GSet: Computing capacity for map BlocksMap

15/01/21 15:13:43 INFO util.GSet: VM type       = 64-bit

15/01/21 15:13:43 INFO util.GSet: 2.0% max memory = 1013645312

15/01/21 15:13:43 INFO util.GSet: capacity      = 2^21 = 2097152 entries

15/01/21 15:13:43 INFO util.GSet: recommended=2097152, actual=2097152

15/01/21 15:13:43 INFO namenode.FSNamesystem: fsOwner=jediael

15/01/21 15:13:43 INFO namenode.FSNamesystem: supergroup=supergroup

15/01/21 15:13:43 INFO namenode.FSNamesystem: isPermissionEnabled=true

15/01/21 15:13:43 INFO namenode.FSNamesystem: dfs.block.invalidate.limit=100

15/01/21 15:13:43 INFO namenode.FSNamesystem: isAccessTokenEnabled=false accessKeyUpdateInterval=0 min(s), accessTokenLifetime=0 min(s)

15/01/21 15:13:43 INFO namenode.FSEditLog: dfs.namenode.edits.toleration.length = 0

15/01/21 15:13:43 INFO namenode.NameNode: Caching file names occuring more than 10 times

15/01/21 15:13:44 INFO common.Storage: Image file /opt/tmphadoop/dfs/name/current/fsimage of size 113 bytes saved in 0 seconds.

15/01/21 15:13:44 INFO namenode.FSEditLog: closing edit log: position=4, editlog=/opt/tmphadoop/dfs/name/current/edits

15/01/21 15:13:44 INFO namenode.FSEditLog: close success: truncate to 4, editlog=/opt/tmphadoop/dfs/name/current/edits

15/01/21 15:13:44 INFO common.Storage: Storage directory /opt/tmphadoop/dfs/name has been successfully formatted.

15/01/21 15:13:44 INFO namenode.NameNode: SHUTDOWN_MSG:

/************************************************************

SHUTDOWN_MSG: Shutting down NameNode at master/10.171.29.191

************************************************************/

2、启动hadoop【此步骤只需要在master上执行】

[jediael@master hadoop-1.2.1]$ bin/start-all.sh

starting namenode, logging to /opt/jediael/hadoop-1.2.1/libexec/../logs/hadoop-jediael-namenode-master.out

slave1: starting datanode, logging to /opt/jediael/hadoop-1.2.1/libexec/../logs/hadoop-jediael-datanode-slave1.out

slave2: starting datanode, logging to /opt/jediael/hadoop-1.2.1/libexec/../logs/hadoop-jediael-datanode-slave2.out

master: starting secondarynamenode, logging to /opt/jediael/hadoop-1.2.1/libexec/../logs/hadoop-jediael-secondarynamenode-master.out

starting jobtracker, logging to /opt/jediael/hadoop-1.2.1/libexec/../logs/hadoop-jediael-jobtracker-master.out

slave1: starting tasktracker, logging to /opt/jediael/hadoop-1.2.1/libexec/../logs/hadoop-jediael-tasktracker-slave1.out

slave2: starting tasktracker, logging to /opt/jediael/hadoop-1.2.1/libexec/../logs/hadoop-jediael-tasktracker-slave2.out

3、登录页面验证

NameNode http://ip:50070

JobTracker http://ip50030

4、查看各个主机的java进程

（1）master:

$ jps

17963 NameNode

18280 JobTracker

18446 Jps

18171 SecondaryNameNode

（2）slave1:

$ jps

16019 Jps

15858 DataNode

15954 TaskTracker

（3）slave2:

$ jps

15625 Jps

15465 DataNode

15561 TaskTracker

五、运行一个完整的mapreduce程序。

以下内容均只是master上执行

1、将wordcount.jar包复制至服务器上

程序见http://blog.csdn.net/jediael_lu/article/details/37596469

2、创建输入目录，并将相关文件复制至目录

[jediael@master166 ~]$ hadoop fs -mkdir /wcin

[jediael@master166 projects]$ hadoop fs -copyFromLocal /opt/jediael/hadoop-1.2.1/conf/hdfs-site.xml /wcin

3、运行程序

[jediael@master166 projects]$ hadoop jar wordcount.jar org.jediael.hadoopdemo.wordcount.WordCount /wcin /wcout

14/08/31 20:04:26 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same.

14/08/31 20:04:26 INFO input.FileInputFormat: Total input paths to process : 1

14/08/31 20:04:26 INFO util.NativeCodeLoader: Loaded the native-hadoop library

14/08/31 20:04:26 WARN snappy.LoadSnappy: Snappy native library not loaded

14/08/31 20:04:26 INFO mapred.JobClient: Running job: job_201408311554_0003

14/08/31 20:04:27 INFO mapred.JobClient: map 0% reduce 0%

14/08/31 20:04:31 INFO mapred.JobClient: map 100% reduce 0%

14/08/31 20:04:40 INFO mapred.JobClient: map 100% reduce 100%

14/08/31 20:04:40 INFO mapred.JobClient: Job complete: job_201408311554_0003

14/08/31 20:04:40 INFO mapred.JobClient: Counters: 29

14/08/31 20:04:40 INFO mapred.JobClient: Job Counters

14/08/31 20:04:40 INFO mapred.JobClient: Launched reduce tasks=1

14/08/31 20:04:40 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=4230

14/08/31 20:04:40 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0

14/08/31 20:04:40 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0

14/08/31 20:04:40 INFO mapred.JobClient: Launched map tasks=1

14/08/31 20:04:40 INFO mapred.JobClient: Data-local map tasks=1

14/08/31 20:04:40 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=8531

14/08/31 20:04:40 INFO mapred.JobClient: File Output Format Counters

14/08/31 20:04:40 INFO mapred.JobClient: Bytes Written=284

14/08/31 20:04:40 INFO mapred.JobClient: FileSystemCounters

14/08/31 20:04:40 INFO mapred.JobClient: FILE_BYTES_READ=370

14/08/31 20:04:40 INFO mapred.JobClient: HDFS_BYTES_READ=357

14/08/31 20:04:40 INFO mapred.JobClient: FILE_BYTES_WRITTEN=104958

14/08/31 20:04:40 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=284

14/08/31 20:04:40 INFO mapred.JobClient: File Input Format Counters

14/08/31 20:04:40 INFO mapred.JobClient: Bytes Read=252

14/08/31 20:04:40 INFO mapred.JobClient: Map-Reduce Framework

14/08/31 20:04:40 INFO mapred.JobClient: Map output materialized bytes=370

14/08/31 20:04:40 INFO mapred.JobClient: Map input records=11

14/08/31 20:04:40 INFO mapred.JobClient: Reduce shuffle bytes=370

14/08/31 20:04:40 INFO mapred.JobClient: Spilled Records=40

14/08/31 20:04:40 INFO mapred.JobClient: Map output bytes=324

14/08/31 20:04:40 INFO mapred.JobClient: Total committed heap usage (bytes)=238026752

14/08/31 20:04:40 INFO mapred.JobClient: CPU time spent (ms)=1130

14/08/31 20:04:40 INFO mapred.JobClient: Combine input records=0

14/08/31 20:04:40 INFO mapred.JobClient: SPLIT_RAW_BYTES=105

14/08/31 20:04:40 INFO mapred.JobClient: Reduce input records=20

14/08/31 20:04:40 INFO mapred.JobClient: Reduce input groups=20

14/08/31 20:04:40 INFO mapred.JobClient: Combine output records=0

14/08/31 20:04:40 INFO mapred.JobClient: Physical memory (bytes) snapshot=289288192

14/08/31 20:04:40 INFO mapred.JobClient: Reduce output records=20

14/08/31 20:04:40 INFO mapred.JobClient: Virtual memory (bytes) snapshot=1533636608

14/08/31 20:04:40 INFO mapred.JobClient: Map output records=20

4、查看结果

[jediael@master166 projects]$ hadoop fs -cat /wcout/*

--> 1

<!-- 1

</configuration> 1

</property> 1

<?xml 1

<?xml-stylesheet 1

<configuration> 1

<name>dfs.replication</name> 1

<property> 1

<value>2</value> 1

Put 1

file. 1

href="configuration.xsl"?> 1

in 1

overrides 1

property 1

site-specific 1

this 1

type="text/xsl" 1

version="1.0"?> 1

cat: File does not exist: /wcout/_logs

码农公寓

相关文章