oozie中mapreduce程序的workflow.xml文件配置新版本

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<workflow-app xmlns="uri:oozie:workflow:0.5" name="mr-wordcount-wf  子定义名称">
    <start to="mr-node-wordcount "/>
    <action name="mr-node-wordcount 自定义节点名称">
        <map-reduce>
            <job-tracker>${jobTracker}</job-tracker>
            <name-node>${nameNode}</name-node>
            <prepare>
                <delete path="${nameNode}/${oozieDataRoot}/${outputDir}"/>
            </prepare>
            <configuration>
                <property>
                    <name>mapred.mapper.new-api</name>
                    <value>true</value>
                </property>
                <property>-- 新版本写法
                    <name>mapred.reducer.new-api</name>
                    <value>true</value>
                </property>
                <property>
                --老版改为新版本的key  这里的配置就是 map-reduce中driver中的配置。   队列名称
                    <name>mapreduce.job.queuename</name>
                    <value>${queueName}</value>
                </property>
                <property>
                --map 类的主类   内部类的写法：WordCount$WordCountMapper
                    <name>mapreduce.job.map.class</name>
                    <value>com.it.hadoop.senior.mapreduce.WordCount$WordCountMapper</value>
                </property>
                <property>
                    <name>mapreduce.job.reduce.class</name>
                    <value>com.IT.hadoop.senior.mapreduce.WordCount$WordCountReducer</value>
                </property>
                
                <property>
                --输出key的类型
                    <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>--输入输出目录
                    <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 文件配置详解：