Hadoop 2.2.0 4结点集群安装非HA

总体介绍

虚拟机4台，分布在1个物理机上，配置基于hadoop的集群中包括4个节点： 1个 Master， 3个 Salve，i p分布为：

10.10.96.33 hadoop1 （Master）

10.10.96.59 hadoop2 （Slave）

10.10.96.65 hadoop3 （Slave）

10.10.96.64 hadoop4 （Slave）

操作系统为Red Hat Enterprise Linux Server release 6.4，GNU/Linux 2.6.32

Master机器主要配置NameNode和JobTracker的角色，负责总管分布式数据和分解任务的执行；3个Salve机器配置DataNode和TaskTracker的角色，负责分布式数据存储以及任务的执行。

环境准备

创建账户

使用root登陆所有机器后，所有节点上创建 hadoop 用户

useradd hadoop

passwd hadoop

此时在 /home/ 下就会生成一个hadoop目录，目录路径为 /home/hadoop

创建相关目录

在所有节点上使用hadoop用户登录并创建相关的目录

定义需要数据及目录的存放路径：

mkdir -p /home/hadoop/source

以root用户登录

定义数据节点存放的路径到根目录下的hadoop文件夹, 这里是数据节点存放目录，需要有足够的空间存放

mkdir -p /hadoop/hdfs

mkdir -p /hadoop/tmp

设置可写权限

chmod -R 777 /hadoop

安装JDK

在每个节点上安装JDK并设置环境变量

将下载好的jdk-7u40-linux-x64.rpm通过 SSH 上传到 /root 下

执行rpm –ivh jdk-7u40-linux-x64.rpm

配置环境变量，vi /etc/profile ，在行末尾添加

export JAVA_HOME=/usr/java/jdk1.7.0_40

export CLASSPATH=.:$JAVA_HOME/lib/tools.jar:/lib/dt.jar

export PATH=$JAVA_HOME/bin:$PATH

使配置立即生效

source /etc/profile

执行 java -version 查看是否安装成功

修改主机名

在所有节点上修改主机名，具体步骤如下:

连接到主节点10.10.96.33 ，修改 network ，执行 vi /etc/sysconfig/network ，修改 HOSTNAME=hadoop1

修改 hosts 文件，vi /etc/hosts ，在行末尾添加 :

10.10.96.33 hadoop1

10.10.96.59 hadoop2

10.10.96.65 hadoop3

10.10.96.64 hadoop4

执行 hostname hadoop1

执行 exit 后重新连接可看到主机名以修改 OK

其他节点也修改主机名后添加 Host, 或者 host 文件可以在后面执行 scp 覆盖操作

scp /etc/hosts root@hadoop2:/etc/hosts

scp /etc/hosts root@hadoop3:/etc/hosts

scp /etc/hosts root@hadoop4:/etc/hosts

配置SSH无密码登陆

SSH 无密码原理简介 :

首先在 hadoop1 上生成一个密钥对，包括一个公钥和一个私钥，并将公钥复制到所有的 slave(hadoop2-hadoop4)机器上。

然后当 master 通过SSH连接slave时，slave就会生成一个随机数并用master的公钥对随机数进行加密，并发送给master。

最后，master收到加密数之后再用私钥解密，并将解密数回传给slave，slave确认解密数无误之后就允许master不输入密码进行连接了

具体步骤（在root用户）

执行命令 ssh-keygen -t rsa 之后一路回车，查看刚生成的无密码钥对：

把 id_rsa.pub 追加到授权的 key 里面去

执行命令 cat ~/.ssh/id_rsa.pub >>~/.ssh/authorized_keys

ssh localhost （务必执行）

如果没有需要密码即可

将authorized_keys复制到所有的slave机器上

scp ~/.ssh/ authorized_keys hadoop2:~/.ssh/ authorized_keys

然后输入yes

最后输入slave机器的密码

验证命令

在master机器上执行ssh hadoop2发现主机名由hadoop1变成hadoop2即成功：

按照以上步骤分别配置hadoop3,hadoop4，要求每个都可以无密码登录

Hadoop安装

HADOOP 版本

下载最新版本 hadoop-2.2.0安装包为 hadoop-2.2.0.tar.gz到 /home/hadoop/source 目录下

解压目录

以hadoop用户登录

tar zxvf hadoop-2.2.0.tar.gz

创建软连接

cd /home/hadoop

ln -s /home/hadoop/source/hadoop-2.2.0/ ./hadoop

源码配置修改

/etc/profile

配置环境变量

vi /etc/profile

添加

export HADOOP_HOME=/home/hadoop/hadoop

export PATH=$PATH:$HADOOP_HOME/bin

export PATH=$PATH:$HADOOP_HOME/sbin

export HADOOP_MAPARED_HOME=${HADOOP_HOME}

export HADOOP_COMMON_HOME=${HADOOP_HOME}

export HADOOP_HDFS_HOME=${HADOOP_HOME}

export YARN_HOME=${HADOOP_HOME}

export HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop

export HDFS_CONF_DIR=${HADOOP_HOME}/etc/hadoop

export YARN_CONF_DIR=${HADOOP_HOME}/etc/hadoop

export HADOOP_COMMON_LIB_NATIVE_DIR=${HADOOP_HOME}/lib/native

export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"

生效配置：

source /etc/profile

进入/etc/hadoop目录中

cd /home/hadoop/hadoop/etc/hadoop

编辑core-site.xml的配置

vi core-site.xml

在 configuration 节点里面添加属性

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

<value>/hadoop/tmp</value>

<description>A base for other temporary directories.</description>

</property>

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

</property>

-- 添加 httpfs 的选项

<name>hadoop.proxyuser.root.hosts</name>

</property>

<name>hadoop.proxyuser.root.groups</name>

</property>

master配置

vi masters

10.10.96.33

slave配置

vi slaves

添加 slave 的 IP

10.10.96.59

10.10.96.65

10.10.96.64

配置hdfs-site.xml

vi hdfs-site.xml

添加节点

<name>dfs.replication</name>

</property>

<name>dfs.namenode.name.dir</name>

<value>file:/hadoop/hdfs/name</value>

</property>

<name>dfs.federation.nameservice.id</name>

</property>

<name>dfs.namenode.backup.address.ns1</name>

</property>

<name>dfs.namenode.backup.http-address.ns1</name>

</property>

<name>dfs.federation.nameservices</name>

</property>

<name>dfs.namenode.rpc-address.ns1</name>

</property>

<name>dfs.namenode.http-address.ns1</name>

</property>

<name>dfs.dataname.data.dir</name>

<value>file:/hadoop/hdfs/data</value>

</property>

<name>dfs.namenode.secondary.http-address.ns1</name>

</property>

配置yarn-site.xml

vi yarn-site.xml

添加节点

<name>yarn.resourcemanager.address</name>

</property>

<name>yarn.resourcemanager.scheduler.address</name>

</property>

<name>yarn.resourcemanager.webapp.address</name>

</property>

<name>yarn.resourcemanager.resource-tracker.address</name>

</property>

<name>yarn.resourcemanager.admin.address</name>

</property>

<name>yarn.nodemanager.aux-services</name>

<value>mapreduce_shuffle</value>

</property>

同步代码到其他机器

同步配置代码

先在slaves的机器上也创建目录/home/hadoop/source

在master上执行：

[root@hadoop1 ~]# ssh hadoop2 "mkdir -p /home/hadoop/source"

[root@hadoop1 ~]# ssh hadoop3 "mkdir -p /home/hadoop/source"

[root@hadoop1 ~]# ssh hadoop4 "mkdir -p /home/hadoop/source"

部署hadoop代码，创建软连接，然后只要同步修改过的etc/hadoop下的配置文件即可

到hadoop2,hadoop3,hadoop4上执行如下命令:

[root@hadoop2 ~]# cp hadoop-2.2.0.tar.gz /home/hadoop/source

[root@hadoop2 ~]# cd /home/hadoop/source

[root@hadoop2 hadoop]# tar zxvf hadoop-2.2.0.tar.gz

[root@hadoop2 hadoop]# cd /home/hadoop

[root@hadoop2 hadoop]# ln -s /home/hadoop/source/hadoop-2.2.0/ ./hadoop

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/core-site.xml root@hadoop2:/home/hadoop/hadoop/etc/hadoop/core-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/hdfs-site.xml root@hadoop2:/home/hadoop/hadoop/etc/hadoop/hdfs-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/yarn-site.xml root@hadoop2:/home/hadoop/hadoop/etc/hadoop/yarn-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/core-site.xml root@hadoop3:/home/hadoop/hadoop/etc/hadoop/core-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/hdfs-site.xml root@hadoop3:/home/hadoop/hadoop/etc/hadoop/hdfs-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/yarn-site.xml root@hadoop3:/home/hadoop/hadoop/etc/hadoop/yarn-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/core-site.xml root@hadoop4:/home/hadoop/hadoop/etc/hadoop/core-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/hdfs-site.xml root@hadoop4:/home/hadoop/hadoop/etc/hadoop/hdfs-site.xml

[root@hadoop1 source]# scp /home/hadoop/hadoop/etc/hadoop/yarn-site.xml root@hadoop4:/home/hadoop/hadoop/etc/hadoop/yarn-site.xml

同步 /etc/profile和/etc/hosts

scp -r /etc/profile root@hadoop2:/etc/profile

scp -r /etc/profile root@hadoop3:/etc/profile

scp -r /etc/profile root@hadoop4:/etc/profile

Hadoop启动

格式化集群

以下用hadoop用户执行

hadoop namenode -format -clusterid clustername

一下是日志:

[hadoop@hadoop1 bin]$ hadoop namenode -format -clusterid clustername

DEPRECATED: Use of this script to execute hdfs command is deprecated.

Instead use the hdfs command for it.

13/12/26 11:09:13 INFO namenode.NameNode: STARTUP_MSG:

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

STARTUP_MSG: Starting NameNode

STARTUP_MSG: host = hadoop1/10.10.96.33

STARTUP_MSG: args = [-format, -clusterid, clustername]

STARTUP_MSG: version = 2.2.0

STARTUP_MSG: classpath = 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me/hadoop/hadoop/share/hadoop/hdfs/lib/asm-3.2.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/home/hadoop/hadoop/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/home/hadoop/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0.jar:/home/hadoop/hadoop/share/hadoop/hdfs/hadoop-hdfs-nfs-2.2.0.jar:/home/hadoop/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.2.0-tests.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/guice-3.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/junit-4.10.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/jersey-core-1.9.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/aopalliance-1.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/avro-1.7.4.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/javax.inject-1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/paranamer-2.3.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/log4j-1.2.17.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/hadoop-annotations-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/hamcrest-core-1.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/commons-io-2.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/snappy-java-1.0.4.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/xz-1.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/asm-3.2.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/lib/jersey-server-1.9.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-common-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-server-tests-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-client-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-api-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-site-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-server-common-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/guice-3.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/junit-4.10.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/jackson-core-asl-1.8.8.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/javax.inject-1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/hadoop-annotations-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/hamcrest-core-1.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/commons-io-2.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.8.8.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/xz-1.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/asm-3.2.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.2.0-tests.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.2.0.jar:/home/hadoop/source/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar:/home/hadoop/hadoop/contrib/capacity-scheduler/*.jar:/home/hadoop/hadoop/contrib/capacity-scheduler/*.jar

STARTUP_MSG: build = https://svn.apache.org/repos/asf/hadoop/common -r 1529768; compiled by 'hortonmu' on 2013-10-07T06:28Z

STARTUP_MSG: java = 1.7.0_40

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

13/12/26 11:09:13 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]

Java HotSpot(TM) 64-Bit Server VM warning: You have loaded library /home/hadoop/source/hadoop-2.2.0/lib/native/libhadoop.so.1.0.0 which might have disabled stack guard. The VM will try to fix the stack guard now.

It's highly recommended that you fix the library with 'execstack -c <libfile>', or link it with '-z noexecstack'.

13/12/26 11:09:13 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

Formatting using clusterid: clustername

13/12/26 11:09:13 INFO namenode.HostFileManager: read includes:

HostSet(

)

13/12/26 11:09:13 INFO namenode.HostFileManager: read excludes:

HostSet(

)

13/12/26 11:09:13 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000

13/12/26 11:09:13 INFO util.GSet: Computing capacity for map BlocksMap

13/12/26 11:09:13 INFO util.GSet: VM type = 64-bit

13/12/26 11:09:13 INFO util.GSet: 2.0% max memory = 889 MB

13/12/26 11:09:13 INFO util.GSet: capacity = 2^21 = 2097152 entries

13/12/26 11:09:13 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false

13/12/26 11:09:13 INFO blockmanagement.BlockManager: defaultReplication = 3

13/12/26 11:09:13 INFO blockmanagement.BlockManager: maxReplication = 512

13/12/26 11:09:13 INFO blockmanagement.BlockManager: minReplication = 1

13/12/26 11:09:13 INFO blockmanagement.BlockManager: maxReplicationStreams = 2

13/12/26 11:09:13 INFO blockmanagement.BlockManager: shouldCheckForEnoughRacks = false

13/12/26 11:09:13 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000

13/12/26 11:09:13 INFO blockmanagement.BlockManager: encryptDataTransfer = false

13/12/26 11:09:13 INFO namenode.FSNamesystem: fsOwner = hadoop (auth:SIMPLE)

13/12/26 11:09:13 INFO namenode.FSNamesystem: supergroup = supergroup

13/12/26 11:09:13 INFO namenode.FSNamesystem: isPermissionEnabled = true

13/12/26 11:09:13 INFO namenode.FSNamesystem: Determined nameservice ID: ns1

13/12/26 11:09:13 INFO namenode.FSNamesystem: HA Enabled: false

13/12/26 11:09:13 INFO namenode.FSNamesystem: Append Enabled: true

13/12/26 11:09:13 INFO util.GSet: Computing capacity for map INodeMap

13/12/26 11:09:13 INFO util.GSet: VM type = 64-bit

13/12/26 11:09:13 INFO util.GSet: 1.0% max memory = 889 MB

13/12/26 11:09:13 INFO util.GSet: capacity = 2^20 = 1048576 entries

13/12/26 11:09:13 INFO namenode.NameNode: Caching file names occuring more than

13/12/26 11:09:13 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pc

13/12/26 11:09:13 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanode

13/12/26 11:09:13 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension

13/12/26 11:09:13 INFO namenode.FSNamesystem: Retry cache on namenode is enabled

13/12/26 11:09:13 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total

13/12/26 11:09:13 INFO util.GSet: Computing capacity for map Namenode Retry Cach

13/12/26 11:09:13 INFO util.GSet: VM type = 64-bit

13/12/26 11:09:13 INFO util.GSet: 0.029999999329447746% max memory = 889 MB

13/12/26 11:09:13 INFO util.GSet: capacity = 2^15 = 32768 entries

13/12/26 11:09:13 INFO common.Storage: Storage directory /hadoop/hdfs/name has b

13/12/26 11:09:14 INFO namenode.FSImage: Saving image file /hadoop/hdfs/name/cur

13/12/26 11:09:14 INFO namenode.FSImage: Image file /hadoop/hdfs/name/current/fs

13/12/26 11:09:14 INFO namenode.NNStorageRetentionManager: Going to retain 1 ima

13/12/26 11:09:14 INFO util.ExitUtil: Exiting with status 0

13/12/26 11:09:14 INFO namenode.NameNode: SHUTDOWN_MSG:

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

SHUTDOWN_MSG: Shutting down NameNode at hadoop1/10.10.96.33

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

启动hdfs

执行

start-dfs.sh

开启 hadoop dfs服务

启动Yarn

开启 yarn 资源管理服务

start-yarn.sh

启动httpfs

开启 httpfs 服务

httpfs.sh start

使得对外可以提高http的restful接口服务

Http安装结果验证

验证hdfs

在各台机器执行jps看进程是否都已经启动了

[root@hadoop1 hadoop]# jps

9993 NameNode

10322 ResourceManager

10180 SecondaryNameNode

31918 Bootstrap

15754 Jps

[root@hadoop2 log]# jps

1867 Jps

30889 NodeManager

30794 DataNode

[root@hadoop3 log]# jps

1083 Jps

30040 DataNode

30136 NodeManager

[root@hadoop4 logs]# jps

30556 NodeManager

30459 DataNode

1530 Jps

进程启动正常

验证是否可以登陆

hadoop fs -ls hdfs://hadoop1:9000/

hadoop fs -mkdir hdfs://hadoop1:9000/testfolder

hadoop fs -copyFromLocal /testfolder hdfs://168.5.15.112:9000/testfolder （前提为本机已创建/testfolder目录）

hadoop fs -ls hdfs://168.5.15.112:9000/testfolder

看以上执行是否正常

验证map/reduce

在 hadoop1 上，创建输入目录 :

hadoop fs -mkdir hdfs://hadoop1:9000/input

将一些txt文件复制到 hdfs 分布式文件系统的目录里，执行以下命令

hadoop fs -put hadoop-root-namenode-hadoop1.log/*.txt hdfs:// hadoop1:9000/input

在 hadoop1 上，执行 HADOOP 自带的例子，wordcount 包，命令如下

cd $HADOOP_HOME/share/hadoop/mapreduce

hadoop jar hadoop-mapreduce-examples-2.2.0.jar wordcount hdfs://hadoop1:9000/input hdfs:// hadoop1:9000/output

在hadoop1上，查看结果命令如下 :

[root@hadoop1 hadoop]# hadoop fs -ls hdfs:// hadoop1:9000/output

Found 2 items

-rw-r--r-- 3 root supergroup 0 2013-12-26 16:02 /output/_SUCCESS

-rw-r--r-- 3 root supergroup 160597 2013-12-26 16:02 /output/part-r-00000

[root@hadoop1 hadoop]# hadoop fs -cat hdfs://hadoop1:9000/output/part-r-00000 即可看到每个单词的数量

验证WEB管理功能

查看hdfs web界面(注意由于是虚拟机的原因，需要设置代理服务器)

查看nodemanager web界面

附录

RHEL使用yum安装软件

1，加载光盘：

cd /media

mkdir iso

mount /dev/hdc iso

2，在/etc/yum.repos.d/路径下找到 *.repo，输入以下文本内容：

[base]

name=Base RPM Repository for RHEL6.4

baseurl=file:///media/iso/Server/

enabled=1

gpgcheck=0

3，修改/usr/lib/python2.6/site-packages/yum/路径下的yumRepo.py文件（可以看到，RHEL5.0
的系统代码是用Python开发的！），将其中由 remote = url + '/' + relative 修改为 remote
= "file:///mnt/iso/Server/" + '/' + relative 就可以了。

（vi通过:/remote = ulr即可找到）

通过yum install可以安装，如安装gcc，输入yum install gcc即可

一般尽量不要使用yum
remove

另外，如果安装光盘的版本比系统版本低，一般无法正常安装，必须找到匹配版本进行安装

Hadoop开启关闭调试信息

修改$HADOOP_CONF_DIR/log4j.properties文件 hadoop.root.logger=ALL,console

or:

开启：export
HADOOP_ROOT_LOGGER=DEBUG,console

关闭：export
HADOOP_ROOT_LOGGER=INFO,console

实时查看和修改Hadoop日志级别

hadoop daemonlog -getlevel
<host:port> <name>

hadoop daemonlog --setlevel
<host:port> <name> <level>

<name>为类名，如：TaskTracker

<level> 为日志级别，如：debug和 info等

另外，在WEB界面也可以参看

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