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