【hadoop】14、hadoop2.5的mapreduce的 配置

配置mapreduce

<?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>

</configuration>


加上这个

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

然后在yarn-site.xml里面进行配置

<configuration>

<!-- Site specific YARN configuration properties -->
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <!-- 在哪里执行对应的程序 -->
        <value>hadoop1</value>
    </property>

    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>
        <value>org.apache.hadoop.mapred.ShuffleHandler</value>
    </property> 

</configuration>

启动

前面启动了hdfs之后
在启动yarn

sbin/start-yarn.sh

Hadoop1上

Node1

Node2

Node3

项目
開始我们的eclipse中的mapreduce的项目执行

首先建立一个java项目

然后导入对应的包
Common以下的

Mapreduce下的

Yarn以下的额

Hdfs以下的

我们的需求文档

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