3.Hadoop测试Yarn和MapReduce

最新推荐文章于 2022-12-22 15:57:45 发布

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最新推荐文章于 2022-12-22 15:57:45 发布

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文章标签：大数据 java c/c++

原文链接：http://www.cnblogs.com/TimerHotel/p/hadoop03.html

本文详细介绍如何配置Hadoop的Yarn资源管理系统和MapReduce计算框架，包括ResourceManager和NodeManager的设置，以及通过WordCount实例进行测试的过程。文章还提供了测试命令和结果查看方法。

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Hadoop测试Yarn和MapReduce

1.配置Yarn

（1）配置ResourceManager

生产环境中，一般是重开一台机器作为ResourceManager，这里我们以Master机器代替。

修改yarn-site.xml：

<?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>master</value>
</property>
 
<property>  
    <name>yarn.nodemanager.aux-services</name>  
    <value>mapreduce_shuffle</value>  
</property>  
 
<property>
    <name>yarn.nodemanager.auxservices.mapreduce.shuffle.class</name>
    <value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<!-- Site specific YARN configuration properties -->

</configuration>

（2）配置NodeManager

NodeManager作为DataNode所在机器的资源管理程序，一般情况下直接放在DataNode所在节点。
修改yarn-site.xml：

<?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>master</value>
</property>
 
<property>  
    <name>yarn.nodemanager.aux-services</name>  
    <value>mapreduce_shuffle</value>  
</property>  
 
<property>
    <name>yarn.nodemanager.auxservices.mapreduce.shuffle.class</name>
    <value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<!-- Site specific YARN configuration properties -->

</configuration>

（3）启动yarn

在ResourceManager所在机器上：

start-yarn.sh

2.配置MapReduce

copy一份maper-site.xml.template作为maper-site.xml：

<?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>
<property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
</property>
</configuration>

3.测试WordCount实例

（1）上传计算使用文件hello.txt

hello xm
hello sir
java c
python vb
java c++
go php
erlang java

（2）输入测试命令

hadoop jar hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar wordcount /input/hello.txt /output

（3）查看测试结果

hadoop fs -ls /output

结果：

Found 2 items
-rw-r--r--   3 root supergroup          0 2018-10-18 15:19 /output/_SUCCESS
-rw-r--r--   3 root supergroup         70 2018-10-18 15:19 /output/part-r-00000

hadoop fs -text /output/part-r-00000

结果：

c   1
c++ 1
erlang  1
go  1
hello   2
java    3
php 1
python  1
sir 1
vb  1
xm  1

4.web查看测试结果

（1）HDFS：master:50070

（2）Yarn：master:8088

转载于:https://www.cnblogs.com/TimerHotel/p/hadoop03.html