oozie与mapreduce简单案例

准备工作  拷贝原来的模板

 mkdir oozie-apps
 cd oozie-apps/
 cp -r ../examples/apps/mar-reduce .
 mv map-reduce mr-wordcount-wf   

配置文件修改

workflow.xml ：

 <!--
   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.
 -->
 <workflow-app xmlns="uri:oozie:workflow:0.5" name="mr-wordcount-wf">
     <start to="mr-node-wordcount"/>
     <action name="mr-node-wordcount">
         <map-reduce>
             <job-tracker>${jobTracker}</job-tracker>
             <name-node>${nameNode}</name-node>
             <prepare>
                 <delete path="${nameNode}/${oozieDataRoot}/${outputDir}"/>
             </prepare>
             <configuration>
                 <property>
                     <name>mapred.mapper.new-api</name>
                     <value>true</value>
                 </property>
                 <property>
                     <name>mapred.reducer.new-api</name>
                     <value>true</value>
                 </property>
                 <property>
                     <name>mapreduce.job.queuename</name>
                     <value>${queueName}</value>
                 </property>
                 <property>
                     <name>mapreduce.job.map.class</name>
                     <value>com.ibeifeng.hadoop.senior.mapreduce.WordCount$WordCountMapper</value>
                 </property>
                 <property>
                     <name>mapreduce.job.reduce.class</name>
                     <value>com.ibeifeng.hadoop.senior.mapreduce.WordCount$WordCountReducer</value>
                 </property>

                 <property>
                     <name>mapreduce.map.output.key.class</name>
                     <value>org.apache.hadoop.io.Text</value>
                 </property>
                 <property>
                     <name>mapreduce.map.output.value.class</name>
                     <value>org.apache.hadoop.io.IntWritable</value>
                 </property>
                 <property>
                     <name>mapreduce.job.output.key.class</name>
                     <value>org.apache.hadoop.io.Text</value>
                 </property>
                 <property>
                     <name>mapreduce.job.output.value.class</name>
                     <value>org.apache.hadoop.io.IntWritable</value>
                 </property>
                 <property>
                     <name>mapreduce.input.fileinputformat.inputdir</name>
                     <value>${nameNode}/${oozieDataRoot}/${inputDir}</value>
                 </property>
                 <property>
                     <name>mapreduce.output.fileoutputformat.outputdir</name>
                     <value>${nameNode}/${oozieDataRoot}/${outputDir}</value>
                 </property>
             </configuration>
         </map-reduce>
         <ok to="end"/>
         <error to="fail"/>
     </action>
     <kill name="fail">
         <message>Map/Reduce failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
     </kill>
     <end name="end"/>
 </workflow-app>

job.properties ：

 #
 # 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.
 #

 nameNode=hdfs://hadoop:8020
 jobTracker=hadoop:8032
 queueName=default
 oozieAppsRoot=user/root/oozie-apps
 oozieDataRoot=user/root/oozie/datas

 oozie.wf.application.path=${nameNode}/${oozieAppsRoot}/mr-wordcount-wf/workflow.xml

 inputDir=mr-wordcount-wf/input
 outputDir=mr-wordcount-wf/output

把自己写的MapReduce的jar 放上去

把改好的文件放入到hdfs

 /opt/cdh-5.3.6/hadoop-2.5.0-cdh5.3.6/bin/hadoop dfs -put oozie-apps/ oozie-apps

准备测试数据

在hdfs创建输入目录 并把刚创建的文件上传

 /opt/cdh-5.3.6/hadoop-2.5.0-cdh5.3.6/bin/hadoop dfs -mkdir -p oozie/datas/mr-wordcount-wf/input
 /opt/cdh-5.3.6/hadoop-2.5.0-cdh5.3.6/bin/hadoop dfs -put test-mapred.txt oozie/datas/mr-wordcount-wf/input

运行oozie

 export OOZIE_URL=http://localhost:11000/oozie
 bin/oozie job -config oozie-apps/mr-wordcount-wf/job.properties -run

查看输出结果

原文件     统计后的文件

http://blog.csdn.net/wiborgite/article/details/78585689