以表格的形式描述下伪分布式

下面，以表格的形式描述下伪分布式安装
系统环境如下：

 

 

序号

名称

描述

1

系统环境

Centos6.5

2

JAVA环境

JDK1.7

3

Haoop版本

hadoop2.2.0

安装步骤如下：

序号

步骤

1

解压hadoop，并配置环境变量

2

使用which hadoop命令，测试是否成功

3

配置core-site.xml

4

配置hdfs-site.xml

5

配置yarn-site.xml（非必须，使用默认也可）

6

配置mapred-site.xml

7

配置mapred-env.sh里面的JAVA路径

8

如上的配置完成后，需要新建几个文件夹，来提供HDFS的格式化底层一个是hadoop的tmp文件夹，另外的是namenode和datanode的文件夹，来分别存储各自的信息

9

上面一切完成后，即可执行hadoop namenode -format 进行格式化

10

然后启动伪分布式集群，执行命令sbin/start-all.sh 最后使用JPS查看JAVA进程

11

配置本机的hosts文件，映射主机名信息

下面来详细说下，各个步骤的具体操作：
在这之前，最好配置好本机的SSH无密码登陆操作，避免hadoop进程之间通信时，需要验证。

下面是各个xml文件的配置

<!-- core-site.xml配置 -->
<configuration>
    <property>
        <name>fs.default.name</name>
        <value>hdfs://192.168.46.28:9000</value>
    </property>
  <property>
    <name>hadoop.tmp.dir</name>
    <value>/root/hadoop/tmp</value>
  </property>

</configuration>

<!-- core-site.xml配置 -->
<configuration>
    <property>  
        <name>fs.default.name</name>  
        <value>hdfs://192.168.46.28:9000</value>  
    </property>  
  <property>
    <name>hadoop.tmp.dir</name>
    <value>/root/hadoop/tmp</value>
  </property>

</configuration>

 

<!-- hdfs-site.xml配置 -->

<configuration>
<property>
   <name>dfs.replication</name>
   <value>1</value>
 </property>

 <property>
   <name>dfs.namenode.name.dir</name>
   <value>/root/hadoop/nddir</value>
 </property>


 <property>
   <name>dfs.datanode.data.dir</name>
   <value>/root/hadoop/dddir</value>
 </property>

<property>
  <name>dfs.permissions</name>
  <value>false</value>
</property>

</configuration>

<!-- hdfs-site.xml配置 -->
 
<configuration>
<property>  
   <name>dfs.replication</name>  
   <value>1</value>  
 </property>  

 <property>  
   <name>dfs.namenode.name.dir</name>  
   <value>/root/hadoop/nddir</value>  
 </property>  


 <property>  
   <name>dfs.datanode.data.dir</name>  
   <value>/root/hadoop/dddir</value>  
 </property>  

<property>  
  <name>dfs.permissions</name>  
  <value>false</value>  
</property>

</configuration>

<!--    yarn-site.xml  不用配置，使用默认属性即可 -->
<configuration>


</configuration>

<!--    yarn-site.xml  不用配置，使用默认属性即可 -->
<configuration>


</configuration>

 

<!--  mapred-site.xml的配置 -->
<configuration>
<property>
    <name>mapreduce.cluster.temp.dir</name>
    <value></value>
    <description>No description</description>
    <final>true</final>
  </property>

  <property>
    <name>mapreduce.cluster.local.dir</name>
    <value></value>
    <description>No description</description>
    <final>true</final>
  </property>
</configuration>

<!--  mapred-site.xml的配置 -->
<configuration>
<property>  
    <name>mapreduce.cluster.temp.dir</name>  
    <value></value>  
    <description>No description</description>  
    <final>true</final>  
  </property>  
  
  <property>  
    <name>mapreduce.cluster.local.dir</name>  
    <value></value>  
    <description>No description</description>  
    <final>true</final>  
  </property>  
</configuration>

mapred-env.sh里面的配置

# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

export JAVA_HOME=/usr/local/jdk

export HADOOP_JOB_HISTORYSERVER_HEAPSIZE=1000

export HADOOP_MAPRED_ROOT_LOGGER=INFO,RFA

#export HADOOP_JOB_HISTORYSERVER_OPTS=
#export HADOOP_MAPRED_LOG_DIR="" # Where log files are stored.  $HADOOP_MAPRED_HOME/logs by default.
#export HADOOP_JHS_LOGGER=INFO,RFA # Hadoop JobSummary logger.
#export HADOOP_MAPRED_PID_DIR= # The pid files are stored. /tmp by default.
#export HADOOP_MAPRED_IDENT_STRING= #A string representing this instance of hadoop. $USER by default
#export HADOOP_MAPRED_NICENESS= #The scheduling priority for daemons. Defaults to 0.

# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

export JAVA_HOME=/usr/local/jdk

export HADOOP_JOB_HISTORYSERVER_HEAPSIZE=1000

export HADOOP_MAPRED_ROOT_LOGGER=INFO,RFA

#export HADOOP_JOB_HISTORYSERVER_OPTS=
#export HADOOP_MAPRED_LOG_DIR="" # Where log files are stored.  $HADOOP_MAPRED_HOME/logs by default.
#export HADOOP_JHS_LOGGER=INFO,RFA # Hadoop JobSummary logger.
#export HADOOP_MAPRED_PID_DIR= # The pid files are stored. /tmp by default.
#export HADOOP_MAPRED_IDENT_STRING= #A string representing this instance of hadoop. $USER by default
#export HADOOP_MAPRED_NICENESS= #The scheduling priority for daemons. Defaults to 0.

然后，建对应的几个文件夹即可，路径都在hadoop2.2的根目录下即可,
然后执行格式化命令bin/hadoop namenode -format即可；

最后使用jps命令，查看进程，如果有以下几个进程名称，就代表部署伪分布式成功

4887 NodeManager
4796 ResourceManager
4661 SecondaryNameNode
4524 DataNode
4418 NameNode
6122 Jps

4887 NodeManager
4796 ResourceManager
4661 SecondaryNameNode
4524 DataNode
4418 NameNode
6122 Jps

然后，访问界面端口，注意与之前的配置文件里一致，namenode的端口号仍为50070,原来1.x的50030端口，已经没有了，可以访问8088的yarn的端口，来查看，具体的截图如下：







OK，此时，我们已经成功的完成伪分布式的部署，下一步我们要做的，就是跑一个经典的MR程序Hellow World，来测试我们的集群了。