apache hadoop三种架构介绍

standAlone，伪分布，分布式环境介绍以及安装

1、伪分布式的运行环境：只在一台机器上面就可以运行我们的hadoop

bin：存放集群运行启动以及一些管理脚本

sbin：存放集群运行启动以及一些管理脚本

etc/hadoop：存放的是配置文件的路径

lib/native 本地库，很重要，本地库主要是用于我们的数据的压缩，支持我们的C程序访问

本地库的检测命令：bin/hadoop checknative

本地C程序的访问库

hadoop: true /export/servers/hadoop-2.7.5/lib/native/libhadoop.so.1.0.0

压缩库

zlib: true /lib64/libz.so.1

snappy: false 谷歌出品的一种压缩算法，一般都是使用snappy来进行压缩

lz4: true revision:99

bzip2: false

hadoop当中最少更改6个配置文件

1、core-site.xml：核心配置文件，决定了我们的hadoop集群是单机版的，还是分布式的

2、hadoop-env.sh：配置jdk的环境变量

3、hdfs-site.xml：hdfs模块相关的配置

4、mapred-site.xml：关于mr的配置都在这里

5、yarn-site.xml：关于yarn集群的配置

6、slaves：决定我们的从节点在哪些机器上面

standALone运行环境

core-site.xml配置

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed 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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->


<configuration>
<!--  这个配置，决定了我们的namenode在哪个机器上面
	ip   node01.hadoop.com   node01
 -->
	<property>
		<name>fs.defaultFS</name>
		<value>hdfs://192.168.52.100:8020</value>
	</property>
	<property>
		<name>hadoop.tmp.dir</name>
		<value>/export/servers/hadoop-2.7.5/hadoopDatas/tempDatas</value>
	</property>
	<!--  缓冲区大小，实际工作中根据服务器性能动态调整 -->
	<property>
		<name>io.file.buffer.size</name>
		<value>4096</value>
	</property>

	<!--  开启hdfs的垃圾桶机制，删除掉的数据可以从垃圾桶中回收，单位分钟 -->
	<property>
		<name>fs.trash.interval</name>
		<value>10080</value>
	</property>
</configuration>

hdfs-site.xml的配置

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed 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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->

<configuration>
	<!-- NameNode存储元数据信息的路径，实际工作中，一般先确定磁盘的挂载目录，然后多个目录用，进行分割   --> 
	<!--   集群动态上下线 
	<property>
		<name>dfs.hosts</name>
		<value>/export/servers/hadoop-2.7.4/etc/hadoop/accept_host</value>
	</property>
	
	<property>
		<name>dfs.hosts.exclude</name>
		<value>/export/servers/hadoop-2.7.4/etc/hadoop/deny_host</value>
	</property>
	 -->
	 
	 <!--  snn通信地址  -->
	 <property>
			<name>dfs.namenode.secondary.http-address</name>
			<value>node01:50090</value>
	</property>

	<!-- namenode web界面访问地址 -->
	<property>
		<name>dfs.namenode.http-address</name>
		<value>node01:50070</value>
	</property>
	
	<!-- 
	namenode元数据信息的存放路径
	
	-->
	<property>
		<name>dfs.namenode.name.dir</name>
		<value>file:///export/servers/hadoop-2.7.5/hadoopDatas/namenodeDatas,file:///export/servers/hadoop-2.7.5/hadoopDatas/namenodeDatas2</value>
	</property>
	<!--  定义dataNode数据存储的节点位置，实际工作中，一般先确定磁盘的挂载目录，然后多个目录用，进行分割 
			/datadisk
			/mnt/resource
			实际工作当中，一般一个服务器，可以插6块硬盘
			df  -lh  先确定我们的磁盘挂载在了哪里
			file:///datadisk/abc,file:///mnt/resource/def
			
			dfs.datanode.data.dir  datanode当中的数据文件存放的路径	
	-->
	<property>
		<name>dfs.datanode.data.dir</name>
		<value>file:///export/servers/hadoop-2.7.5/hadoopDatas/datanodeDatas,file:///export/servers/hadoop-2.7.5/hadoopDatas/datanodeDatas2</value>
	</property>
	
	<!--  edits文件存放的磁盘路径 -->
	<property>
		<name>dfs.namenode.edits.dir</name>
		<value>file:///export/servers/hadoop-2.7.5/hadoopDatas/nn/edits</value>
	</property>
	

	<property>
		<name>dfs.namenode.checkpoint.dir</name>
		<value>file:///export/servers/hadoop-2.7.5/hadoopDatas/snn/name</value>
	</property>
	<property>
		<name>dfs.namenode.checkpoint.edits.dir</name>
		<value>file:///export/servers/hadoop-2.7.5/hadoopDatas/dfs/snn/edits</value>
	</property>

	<!--  文件的副本数 -->
	<property>
		<name>dfs.replication</name>
		<value>3</value>
	</property>

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

<property>
		<name>dfs.blocksize</name>
		<value>134217728</value>
	</property>
</configuration>

mapred-site.xml的配置

<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed 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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->

<configuration>
<!-- 指定mr运行的框架，在yarn上面 -->
	<property>
		<name>mapreduce.framework.name</name>
		<value>yarn</value>
	</property>

	<!-- 开启mr的小任务模式  -->
	<property>
		<name>mapreduce.job.ubertask.enable</name>
		<value>true</value>
	</property>
	
	<!-- job history  通信地址 
	jobhistory:主要是用于查看已经完成的历史任务的日志
	-->
	<property>
		<name>mapreduce.jobhistory.address</name>
		<value>node01:10020</value>
	</property>

	<property>
		<name>mapreduce.jobhistory.webapp.address</name>
		<value>node01:19888</value>
	</property>
</configuration>

yarn-site.xml的配置

<?xml version="1.0"?>
<!--
  Licensed 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. See accompanying LICENSE file.
-->


<configuration>
	<property>
		<name>yarn.resourcemanager.hostname</name>
		<value>node01</value>
	</property>
	<property>
		<name>yarn.nodemanager.aux-services</name>
		<value>mapreduce_shuffle</value>
	</property>
	
	<property>
		<name>yarn.log-aggregation-enable</name>
		<value>true</value>
	</property>
	<property>
		<name>yarn.log-aggregation.retain-seconds</name>
		<value>604800</value>
	</property>
</configuration>

slaves文件的配置

localhost

hadoop-env.sh配置

export JAVA_HOME=/export/servers/jdk1.8.0_141

伪分布式的运行环境

伪分布式的运行环境，是在standAlone环境的基础上面转换过来的

有多个从节点，运行在多个机器上面

主要就是在slaves文件的基础上面更改 即可

然后重新启动即可

core-site.xml配置

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed 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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->


<configuration>
<!--  这个配置，决定了我们的namenode在哪个机器上面
	ip   node01.hadoop.com   node01
 -->
	<property>
		<name>fs.defaultFS</name>
		<value>hdfs://192.168.52.100:8020</value>
	</property>
	<property>
		<name>hadoop.tmp.dir</name>
		<value>/export/servers/hadoop-2.7.5/hadoopDatas/tempDatas</value>
	</property>
	<!--  缓冲区大小，实际工作中根据服务器性能动态调整 -->
	<property>
		<name>io.file.buffer.size</name>
		<value>4096</value>
	</property>

	<!--  开启hdfs的垃圾桶机制，删除掉的数据可以从垃圾桶中回收，单位分钟 -->
	<property>
		<name>fs.trash.interval</name>
		<value>10080</value>
	</property>
</configuration>

hdfs-site.xml的配置

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed 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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->

<configuration>
	<!-- NameNode存储元数据信息的路径，实际工作中，一般先确定磁盘的挂载目录，然后多个目录用，进行分割   --> 
	<!--   集群动态上下线 
	<property>
		<name>dfs.hosts</name>
		<value>/export/servers/hadoop-2.7.4/etc/hadoop/accept_host</value>
	</property>
	
	<property>
		<name>dfs.hosts.exclude</name>
		<value>/export/servers/hadoop-2.7.4/etc/hadoop/deny_host</value>
	</property>
	 -->
	 
	 <!--  snn通信地址  -->
	 <property>
			<name>dfs.namenode.secondary.http-address</name>
			<value>node01:50090</value>
	</property>

	<!-- namenode web界面访问地址 -->
	<property>
		<name>dfs.namenode.http-address</name>
		<value>node01:50070</value>
	</property>
	
	<!-- 
	namenode元数据信息的存放路径
	
	-->
	<property>
		<name>dfs.namenode.name.dir</name>
		<value>file:///export/servers/hadoop-2.7.5/hadoopDatas/namenodeDatas,file:///export/servers/hadoop-2.7.5/hadoopDatas/namenodeDatas2</value>
	</property>
	<!--  定义dataNode数据存储的节点位置，实际工作中，一般先确定磁盘的挂载目录，然后多个目录用，进行分割 
			/datadisk
			/mnt/resource
			实际工作当中，一般一个服务器，可以插6块硬盘
			df  -lh  先确定我们的磁盘挂载在了哪里
			file:///datadisk/abc,file:///mnt/resource/def
			
			dfs.datanode.data.dir  datanode当中的数据文件存放的路径	
	-->
	<property>
		<name>dfs.datanode.data.dir</name>
		<value>file:///export/servers/hadoop-2.7.5/hadoopDatas/datanodeDatas,file:///export/servers/hadoop-2.7.5/hadoopDatas/datanodeDatas2</value>
	</property>
	
	<!--  edits文件存放的磁盘路径 -->
	<property>
		<name>dfs.namenode.edits.dir</name>
		<value>file:///export/servers/hadoop-2.7.5/hadoopDatas/nn/edits</value>
	</property>
	

	<property>
		<name>dfs.namenode.checkpoint.dir</name>
		<value>file:///export/servers/hadoop-2.7.5/hadoopDatas/snn/name</value>
	</property>
	<property>
		<name>dfs.namenode.checkpoint.edits.dir</name>
		<value>file:///export/servers/hadoop-2.7.5/hadoopDatas/dfs/snn/edits</value>
	</property>

	<!--  文件的副本数 -->
	<property>
		<name>dfs.replication</name>
		<value>3</value>
	</property>

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

<property>
		<name>dfs.blocksize</name>
		<value>134217728</value>
	</property>
</configuration>

mapred-site.xml的配置

<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed 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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->

<configuration>
<!-- 指定mr运行的框架，在yarn上面 -->
	<property>
		<name>mapreduce.framework.name</name>
		<value>yarn</value>
	</property>

	<!-- 开启mr的小任务模式  -->
	<property>
		<name>mapreduce.job.ubertask.enable</name>
		<value>true</value>
	</property>
	
	<!-- job history  通信地址 
	jobhistory:主要是用于查看已经完成的历史任务的日志
	-->
	<property>
		<name>mapreduce.jobhistory.address</name>
		<value>node01:10020</value>
	</property>

	<property>
		<name>mapreduce.jobhistory.webapp.address</name>
		<value>node01:19888</value>
	</property>
</configuration>

yarn-site.xml的配置

<?xml version="1.0"?>
<!--
  Licensed 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. See accompanying LICENSE file.
-->


<configuration>
	<property>
		<name>yarn.resourcemanager.hostname</name>
		<value>node01</value>
	</property>
	<property>
		<name>yarn.nodemanager.aux-services</name>
		<value>mapreduce_shuffle</value>
	</property>
	
	<property>
		<name>yarn.log-aggregation-enable</name>
		<value>true</value>
	</property>
	<property>
		<name>yarn.log-aggregation.retain-seconds</name>
		<value>604800</value>
	</property>
</configuration>

slaves文件的配置

node01
node02
node03

hadoop-env.sh配置

export JAVA_HOME=/export/servers/jdk1.8.0_141

完全分布式环境搭建运行

使用完全分布式，实现namenode高可用，ResourceManager的高可用集群运行服务规划

停止掉所有的伪分布式环境，删除hadoop的安装包，重新解压，重新配置，重新启动

第一台机器执行以下命令进行解压

cd /export/softwares
tar -zxvf hadoop-2.7.5.tar.gz -C ../servers/

配置文件的修改:使用ipad++

core-site.xml配置

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed 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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->

 <configuration>
<!-- 指定NameNode的HA高可用的zk地址  -->
	<property>
		<name>ha.zookeeper.quorum</name>
		<value>node01:2181,node02:2181,node03:2181</value>
	</property>
 <!-- 指定HDFS访问的域名地址  -->
	<property>
		<name>fs.defaultFS</name>
		<value>hdfs://ns</value>
	</property>
 <!-- 临时文件存储目录  -->
	<property>
		<name>hadoop.tmp.dir</name>
		<value>/export/servers/hadoop-2.7.5/data/tmp</value>
	</property>
	 <!-- 开启hdfs垃圾箱机制，指定垃圾箱中的文件七天之后就彻底删掉
			单位为分钟
	 -->
	<property>
		<name>fs.trash.interval</name>
		<value>10080</value>
	</property>
</configuration>

hdfs-site.xml的配置

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed 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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->



<configuration>
<!--  指定命名空间  -->
	<property>
		<name>dfs.nameservices</name>
		<value>ns</value>
	</property>
<!--  指定该命名空间下的两个机器作为我们的NameNode  -->
	<property>
		<name>dfs.ha.namenodes.ns</name>
		<value>nn1,nn2</value>
	</property>

<!-- 配置第一台服务器的namenode通信地址  -->
<property>
	<name>dfs.namenode.rpc-address.ns.nn1</name>
	<value>node01:8020</value>
</property>
<!--  配置第二台服务器的namenode通信地址  -->
<property>
	<name>dfs.namenode.rpc-address.ns.nn2</name>
	<value>node02:8020</value>
</property>
<!-- 所有从节点之间相互通信端口地址 -->
<property>
	<name>dfs.namenode.servicerpc-address.ns.nn1</name>
	<value>node01:8022</value>
</property>
<!-- 所有从节点之间相互通信端口地址 -->
<property>
	<name>dfs.namenode.servicerpc-address.ns.nn2</name>
	<value>node02:8022</value>
</property>

<!-- 第一台服务器namenode的web访问地址  -->
<property>
	<name>dfs.namenode.http-address.ns.nn1</name>
	<value>node01:50070</value>
</property>
<!-- 第二台服务器namenode的web访问地址  -->
<property>
	<name>dfs.namenode.http-address.ns.nn2</name>
	<value>node02:50070</value>
</property>

<!-- journalNode的访问地址，注意这个地址一定要配置 -->
<property>
	<name>dfs.namenode.shared.edits.dir</name>
	<value>qjournal://node01:8485;node02:8485;node03:8485/ns1</value>
</property>
<!--  指定故障自动恢复使用的哪个java类 -->
<property>
	<name>dfs.client.failover.proxy.provider.ns</name>
	<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>

<!-- 故障转移使用的哪种通信机制 -->
<property>
	<name>dfs.ha.fencing.methods</name>
	<value>sshfence</value>
</property>

<!-- 指定通信使用的公钥  -->
<property>
	<name>dfs.ha.fencing.ssh.private-key-files</name>
	<value>/root/.ssh/id_rsa</value>
</property>
<!-- journalNode数据存放地址  -->
<property>
	<name>dfs.journalnode.edits.dir</name>
	<value>/export/servers/hadoop-2.7.5/data/dfs/jn</value>
</property>
<!-- 启用自动故障恢复功能 -->
<property>
	<name>dfs.ha.automatic-failover.enabled</name>
	<value>true</value>
</property>
<!-- namenode产生的文件存放路径 -->
<property>
	<name>dfs.namenode.name.dir</name>
	<value>file:///export/servers/hadoop-2.7.5/data/dfs/nn/name</value>
</property>
<!-- edits产生的文件存放路径 -->
<property>
	<name>dfs.namenode.edits.dir</name>
	<value>file:///export/servers/hadoop-2.7.5/data/dfs/nn/edits</value>
</property>
<!-- dataNode文件存放路径 -->
<property>
	<name>dfs.datanode.data.dir</name>
	<value>file:///export/servers/hadoop-2.7.5/data/dfs/dn</value>
</property>
<!-- 关闭hdfs的文件权限 -->
<property>
	<name>dfs.permissions</name>
	<value>false</value>
</property>
<!-- 指定block文件块的大小 -->
<property>
	<name>dfs.blocksize</name>
	<value>134217728</value>
</property>
</configuration>

mapred-site.xml的配置

<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed 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. See accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->

   <configuration>
<!--指定运行mapreduce的环境是yarn -->
<property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
</property>
<!-- MapReduce JobHistory Server IPC host:port -->
<property>
        <name>mapreduce.jobhistory.address</name>
        <value>node03:10020</value>
</property>
<!-- MapReduce JobHistory Server Web UI host:port -->
<property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>node03:19888</value>
</property>
<!-- The directory where MapReduce stores control files.默认 ${hadoop.tmp.dir}/mapred/system -->
<property>
        <name>mapreduce.jobtracker.system.dir</name>
        <value>/export/servers/hadoop-2.7.5/data/system/jobtracker</value>
</property>
<!-- The amount of memory to request from the scheduler for each map task. 默认 1024-->
<property>
        <name>mapreduce.map.memory.mb</name>
        <value>1024</value>
</property>
<!-- <property>
                <name>mapreduce.map.java.opts</name>
                <value>-Xmx1024m</value>
        </property> -->
<!-- The amount of memory to request from the scheduler for each reduce task. 默认 1024-->
<property>
        <name>mapreduce.reduce.memory.mb</name>
        <value>1024</value>
</property>
<!-- <property>
               <name>mapreduce.reduce.java.opts</name>
               <value>-Xmx2048m</value>
        </property> -->
<!-- 用于存储文件的缓存内存的总数量，以兆字节为单位。默认情况下，分配给每个合并流1MB，给个合并流应该寻求最小化。默认值100-->
<property>
        <name>mapreduce.task.io.sort.mb</name>
        <value>100</value>
</property>
 
<!-- <property>
        <name>mapreduce.jobtracker.handler.count</name>
        <value>25</value>
        </property>-->
<!-- 整理文件时用于合并的流的数量。这决定了打开的文件句柄的数量。默认值10-->
<property>
        <name>mapreduce.task.io.sort.factor</name>
        <value>10</value>
</property>
<!-- 默认的并行传输量由reduce在copy(shuffle)阶段。默认值5-->
<property>
        <name>mapreduce.reduce.shuffle.parallelcopies</name>
        <value>25</value>
</property>
<property>
        <name>yarn.app.mapreduce.am.command-opts</name>
        <value>-Xmx1024m</value>
</property>
<!-- MR AppMaster所需的内存总量。默认值1536-->
<property>
        <name>yarn.app.mapreduce.am.resource.mb</name>
        <value>1536</value>
</property>
<!-- MapReduce存储中间数据文件的本地目录。目录不存在则被忽略。默认值${hadoop.tmp.dir}/mapred/local-->
<property>
        <name>mapreduce.cluster.local.dir</name>
        <value>/export/servers/hadoop-2.7.5/data/system/local</value>
</property>
</configuration>

yarn-site.xml的配置

<?xml version="1.0"?>
<!--
  Licensed 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. See accompanying LICENSE file.
-->




<configuration>
<!-- Site specific YARN configuration properties -->
<!-- 是否启用日志聚合.应用程序完成后,日志汇总收集每个容器的日志,这些日志移动到文件系统,例如HDFS. -->
<!-- 用户可以通过配置"yarn.nodemanager.remote-app-log-dir"、"yarn.nodemanager.remote-app-log-dir-suffix"来确定日志移动到的位置 -->
<!-- 用户可以通过应用程序时间服务器访问日志 -->

<!-- 启用日志聚合功能，应用程序完成后，收集各个节点的日志到一起便于查看 -->
	<property>
			<name>yarn.log-aggregation-enable</name>
			<value>true</value>
	</property>
 

<!--开启resource manager HA,默认为false--> 
<property>
        <name>yarn.resourcemanager.ha.enabled</name>
        <value>true</value>
</property>
<!-- 集群的Id，使用该值确保RM不会做为其它集群的active -->
<property>
        <name>yarn.resourcemanager.cluster-id</name>
        <value>mycluster</value>
</property>
<!--配置resource manager  命名-->
<property>
        <name>yarn.resourcemanager.ha.rm-ids</name>
        <value>rm1,rm2</value>
</property>
<!-- 配置第一台机器的resourceManager -->
<property>
        <name>yarn.resourcemanager.hostname.rm1</name>
        <value>node03</value>
</property>
<!-- 配置第二台机器的resourceManager -->
<property>
        <name>yarn.resourcemanager.hostname.rm2</name>
        <value>node02</value>
</property>

<!-- 配置第一台机器的resourceManager通信地址 -->
<property>
        <name>yarn.resourcemanager.address.rm1</name>
        <value>node03:8032</value>
</property>
<property>
        <name>yarn.resourcemanager.scheduler.address.rm1</name>
        <value>node03:8030</value>
</property>
<property>
        <name>yarn.resourcemanager.resource-tracker.address.rm1</name>
        <value>node03:8031</value>
</property>
<property>
        <name>yarn.resourcemanager.admin.address.rm1</name>
        <value>node03:8033</value>
</property>
<property>
        <name>yarn.resourcemanager.webapp.address.rm1</name>
        <value>node03:8088</value>
</property>

<!-- 配置第二台机器的resourceManager通信地址 -->
<property>
        <name>yarn.resourcemanager.address.rm2</name>
        <value>node02:8032</value>
</property>
<property>
        <name>yarn.resourcemanager.scheduler.address.rm2</name>
        <value>node02:8030</value>
</property>
<property>
        <name>yarn.resourcemanager.resource-tracker.address.rm2</name>
        <value>node02:8031</value>
</property>
<property>
        <name>yarn.resourcemanager.admin.address.rm2</name>
        <value>node02:8033</value>
</property>
<property>
        <name>yarn.resourcemanager.webapp.address.rm2</name>
        <value>node02:8088</value>
</property>
<!--开启resourcemanager自动恢复功能-->
<property>
        <name>yarn.resourcemanager.recovery.enabled</name>
        <value>true</value>
</property>
<!--在node1上配置rm1,在node2上配置rm2,注意：一般都喜欢把配置好的文件远程复制到其它机器上，但这个在YARN的另一个机器上一定要修改，其他机器上不配置此项-->
	<property>       
		<name>yarn.resourcemanager.ha.id</name>
		<value>rm1</value>
       <description>If we want to launch more than one RM in single node, we need this configuration</description>
	</property>
	   
	   <!--用于持久存储的类。尝试开启-->
<property>
        <name>yarn.resourcemanager.store.class</name>
        <value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>
</property>
<property>
        <name>yarn.resourcemanager.zk-address</name>
        <value>node02:2181,node03:2181,node01:2181</value>
        <description>For multiple zk services, separate them with comma</description>
</property>
<!--开启resourcemanager故障自动切换，指定机器--> 
<property>
        <name>yarn.resourcemanager.ha.automatic-failover.enabled</name>
        <value>true</value>
        <description>Enable automatic failover; By default, it is enabled only when HA is enabled.</description>
</property>
<property>
        <name>yarn.client.failover-proxy-provider</name>
        <value>org.apache.hadoop.yarn.client.ConfiguredRMFailoverProxyProvider</value>
</property>
<!-- 允许分配给一个任务最大的CPU核数，默认是8 -->
<property>
        <name>yarn.nodemanager.resource.cpu-vcores</name>
        <value>4</value>
</property>
<!-- 每个节点可用内存,单位MB -->
<property>
        <name>yarn.nodemanager.resource.memory-mb</name>
        <value>512</value>
</property>
<!-- 单个任务可申请最少内存，默认1024MB -->
<property>
        <name>yarn.scheduler.minimum-allocation-mb</name>
        <value>512</value>
</property>
<!-- 单个任务可申请最大内存，默认8192MB -->
<property>
        <name>yarn.scheduler.maximum-allocation-mb</name>
        <value>512</value>
</property>
<!--多长时间聚合删除一次日志 此处-->
<property>
        <name>yarn.log-aggregation.retain-seconds</name>
        <value>2592000</value><!--30 day-->
</property>
<!--时间在几秒钟内保留用户日志。只适用于如果日志聚合是禁用的-->
<property>
        <name>yarn.nodemanager.log.retain-seconds</name>
        <value>604800</value><!--7 day-->
</property>
<!--指定文件压缩类型用于压缩汇总日志-->
<property>
        <name>yarn.nodemanager.log-aggregation.compression-type</name>
        <value>gz</value>
</property>
<!-- nodemanager本地文件存储目录-->
<property>
        <name>yarn.nodemanager.local-dirs</name>
        <value>/export/servers/hadoop-2.7.5/yarn/local</value>
</property>
<!-- resourceManager  保存最大的任务完成个数 -->
<property>
        <name>yarn.resourcemanager.max-completed-applications</name>
        <value>1000</value>
</property>
<!-- 逗号隔开的服务列表，列表名称应该只包含a-zA-Z0-9_,不能以数字开始-->
<property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
</property>

<!--rm失联后重新链接的时间--> 
<property>
        <name>yarn.resourcemanager.connect.retry-interval.ms</name>
        <value>2000</value>
</property>
</configuration>

slaves文件的配置

node01
node02
node03

hadoop-env.sh配置

export JAVA_HOME=/export/servers/jdk1.8.0_141

集群启动过程
将第一台机器的安装包发送到其他机器上
第一台机器执行以下命令：

cd /export/servers
scp -r hadoop-2.7.5/ node02:$PWD
scp -r hadoop-2.7.5/ node03:$PWD

三台机器上共同创建目录
三台机器执行以下命令

mkdir -p /export/servers/hadoop-2.7.5/data/dfs/nn/name
mkdir -p /export/servers/hadoop-2.7.5/data/dfs/nn/edits
mkdir -p /export/servers/hadoop-2.7.5/data/dfs/nn/name
mkdir -p /export/servers/hadoop-2.7.5/data/dfs/nn/edits

更改node02的rm2(重要)
第二台机器执行以下命令

cd /export/servers/hadoop-2.7.5/etc/hadoop
vim  yarn-site.xml

<!--在node3上配置rm1,在node2上配置rm2,注意：一般都喜欢把配置好的文件远程复制到其它机器上，
但这个在YARN的另一个机器上一定要修改，其他机器上不配置此项 
注意我们现在有两个resourceManager  第三台是rm1   第二台是rm2
这个配置一定要记得去node02上面改好

-->
	<property>       
		<name>yarn.resourcemanager.ha.id</name>
		<value>rm2</value>
       <description>If we want to launch more than one RM in single node, we need this configuration</description>
	</property>

启动HDFS过程:
node01机器执行以下命令

cd   /export/servers/hadoop-2.7.5
bin/hdfs zkfc -formatZK
sbin/hadoop-daemons.sh start journalnode
bin/hdfs namenode -format
bin/hdfs namenode -initializeSharedEdits -force
sbin/start-dfs.sh

node02上面执行

cd   /export/servers/hadoop-2.7.5
bin/hdfs namenode -bootstrapStandby
sbin/hadoop-daemon.sh start namenode

启动yarn过程:
node03上面执行

cd   /export/servers/hadoop-2.7.5
sbin/start-yarn.sh

node02上执行

cd   /export/servers/hadoop-2.7.5
sbin/start-yarn.sh

查看resourceManager状态:
node03上面执行

cd   /export/servers/hadoop-2.7.5
bin/yarn rmadmin -getServiceState rm1

node02上面执行

cd   /export/servers/hadoop-2.7.5
bin/yarn rmadmin -getServiceState rm2

node03启动jobHistory:
node03机器执行以下命令启动jobHistory

cd /export/servers/hadoop-2.7.5
sbin/mr-jobhistory-daemon.sh start historyserver

hdfs状态查看
node01机器查看hdfs状态
页面访问：
http://192.168.52.100:50070/dfshealth.html#tab-overview
node02机器查看hdfs状态
页面访问：
http://192.168.52.110:50070/dfshealth.html#tab-overview

yarn集群访问查看
页面访问：
http://node03:8088/cluster
历史任务浏览界面
页面访问：
http://192.168.52.120:19888/jobhistory