<workflow-app xmlns="uri:oozie:workflow:1.0" name="map-reduce-wf">
    <start to="mr-node"/>
    <action name="mr-node">
        <map-reduce>
            <resource-manager>${resourceManager}</resource-manager>
            <name-node>${nameNode}</name-node>
            <prepare>
                <delete path="${nameNode}/user/oozie/output"/>
            </prepare>
            <configuration>
                <property>
                    <name>mapred.job.queue.name</name>
                    <value>${queueName}</value>
                </property>
                <!-- 配置调度MR任务时，使用新的API -->
                <property>
                    <name>mapred.mapper.new-api</name>
                    <value>true</value>
                </property>
 
                <property>
                    <name>mapred.reducer.new-api</name>
                    <value>true</value>
                </property>
 
                <!-- 指定Job Key输出类型 -->
                <property>
                    <name>mapreduce.job.output.key.class</name>
                    <value>org.apache.hadoop.io.Text</value>
                </property>
 
                <!-- 指定Job Value输出类型 -->
                <property>
                    <name>mapreduce.job.output.value.class</name>
                    <value>org.apache.hadoop.io.IntWritable</value>
                </property>
 
                <!-- 指定输入路径 -->
                <property>
                    <name>mapred.input.dir</name>
                    <value>/user/oozie/input/wordcount.txt</value>
                </property>
 
                <!-- 指定输出路径 -->
                <property>
                    <name>mapred.output.dir</name>
                    <value>/user/oozie/output/</value>
                </property>
 
                <!-- 指定Map类 -->
                <property>
                    <name>mapreduce.job.map.class</name>
                    <value>org.apache.hadoop.examples.WordCount$TokenizerMapper</value>
                </property>
 
                <!-- 指定Reduce类 -->
                <property>
                    <name>mapreduce.job.reduce.class</name>
                    <value>org.apache.hadoop.examples.WordCount$IntSumReducer</value>
                </property>
 
                <property>
                    <name>mapred.map.tasks</name>
                    <value>1</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>
