Oozie <job-xml>无法在具有子工作流动作的全局部分中工作</job-xml>

Question

我正在努力缩短我的oozie工作流程，我正在推荐这个cloudera帖子。 http://blog.cloudera.com/blog/2013/11/how-to-shorten-your-oozie-workflow-definitions/

根据这篇文章，我们可以在全局部分添加job.xml文件，但它不适用于我。

   <global>
   <job-tracker>${jobTracker}</job-tracker>
   <name-node>${nameNode}</name-node>
   <job-xml>job1.xml</job-xml>
   <configuration>
        <property>
            <name>mapred.job.queue.name</name>
            <value>${queueName}</value>
        </property>
    </configuration>
</global>

-----------------------主要工作流程---------------------- --------

<?xml version="1.0" encoding="UTF-8"?>
<workflow-app xmlns="uri:oozie:workflow:0.4" name="main-wf">
   <global>
    <job-xml>/user/${wf:user()}/${examplesRoot}/apps/map-reduce/job.xml</job-xml>
   </global>
    <start to="main-node"/>
    <action name="main-node">
      <sub-workflow>
         <app-path>/user/${wf:user()}/${examplesRoot}/apps/map-reduce/workflow.xml</app-path>
      </sub-workflow>
      <ok to="end" />
      <error to="fail" />
   </action>
    <kill name="fail">
        <message>MR failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
    </kill>
    <end name="end"/>
</workflow-app>

----------------------- Sub Workflow ---------------------- --------

<?xml version="1.0" encoding="UTF-8"?>
<workflow-app xmlns="uri:oozie:workflow:0.4" name="OozieBDU-wf">
    <start to="wordcount-node"/>
    <action name="wordcount-node">
        <map-reduce>
            <job-tracker>${jobTracker}</job-tracker>
            <name-node>${nameNode}</name-node>
        <prepare>
         <delete path="${nameNode}/user/${wf:user()}/${examplesRoot}/output-data/${outputDir}"/>
        </prepare>
            <configuration>
                <property>
                    <name>mapred.job.queue.name</name>
                    <value>${queueName}</value>
                </property>
        <property>
               <name>mapred.mapper.new-api</name>
               <value>true</value>
        </property>
        <property>
               <name>mapred.reducer.new-api</name>
               <value>true</value>
             </property>
        <property>
               <name>mapreduce.map.class</name>
               <value>com.yumecorp.WordCount$TokenizerMapper</value>
        </property>
        <property>
               <name>mapreduce.reduce.class</name>
               <value>com.yumecorp.WordCount$IntSumReducer</value>
        </property>
             <property>
               <name>mapred.output.key.class</name>
               <value>org.apache.hadoop.io.Text</value>
             </property>
             <property>
               <name>mapred.output.value.class</name>
               <value>org.apache.hadoop.io.IntWritable</value>
             </property>
             <property>
               <name>mapred.input.dir</name>
               <value>/user/${wf:user()}/${examplesRoot}/input-data/decodeAndProfile</value>
             </property>
             <property>
               <name>mapred.output.dir</name>
               <value>/user/${wf:user()}/${examplesRoot}/output-data/${outputDir}</value>
             </property>
             <property>
               <name>mapreduce.job.outputformat.class</name>
               <value>org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat</value>
             </property>
             <property>
               <name>mapred.mapoutput.key.class</name>
               <value>org.apache.hadoop.io.Text</value>
             </property>
             <property>
               <name>mapred.mapoutput.value.class</name>
               <value>org.apache.hadoop.io.IntWritable</value>
             </property>
            </configuration>
        </map-reduce>
        <ok to="end"/>
        <error to="fail"/>
    </action>
    <kill name="fail">
        <message>MR failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
    </kill>
    <end name="end"/>
</workflow-app>

----------------------- job.xml --------------------- ---------

<configuration>
            <property>
               <name>jobTracker</name>
               <value>pari.hhh.com:8021</value>
            </property>
            <property>
               <name>nameNode</name>
               <value>hdfs://pari.hhh.com:8020</value>
            </property>
            <property>
               <name>queueName</name>
               <value>default</value>
            </property>
            <property>
               <name>examplesRoot</name>
               <value>wordcount</value>
            </property>
            <property>
               <name>outputDir</name>
               <value>map-reduce</value>
            </property>    
</configuration>

----------------------- job.properties --------------------- --------- examplesRoot =单词计数 oozie.wf.application.path = $ {名称节点} /用户/ $ {user.name} / $ {examplesRoot} /apps/map-reduce/mainworkflow.xml

----------------------- oozie command ---------------------- ------- oozie job -config job.properties -run

-----------------------错误----------------------- -------------- OB [0000012-150131091133585-oozie-oozi-W]行动[0000012-150131091133585-oozie-oozi-W @ wordcount-node] ActionStartXCommand中的ELException javax.servlet.jsp.el.E​​LException：变量[jobTracker]无法解析     at org.apache.oozie.util.ELEvaluator $ Context.resolveVariable（ELEvaluator.java:106）     在org.apache.commons.el.NamedValue.evaluate（NamedValue.java:124）     在org.apache.commons.el.E​​xpressionString.evaluate（ExpressionString.java:114）     at org.apache.commons.el.E​​xpressionEvaluatorImpl.evaluate（ExpressionEvaluatorImpl.java:274）     at org.apache.commons.el.E​​xpressionEvaluatorImpl.evaluate（ExpressionEvaluatorImpl.java:190）     在org.apache.oozie.util.ELEvaluator.evaluate（ELEvaluator.java:203）     在org.apache.oozie.command.wf.ActionStartXCommand.execute（ActionStartXCommand.java:188）     在org.apache.oozie.command.wf.ActionStartXCommand.execute（ActionStartXCommand.java:63）     在org.apache.oozie.command.XCommand.call（XCommand.java:281）     在org.apache.oozie.service.CallableQueueService $ CompositeCallable.call（CallableQueueService.java:323）     在org.apache.oozie.service.CallableQueueService $ CompositeCallable.call（CallableQueueService.java:252）     在org.apache.oozie.service.CallableQueueService $ CallableWrapper.run（CallableQueueService.java:174）     在java.util.concurrent.ThreadPoolExecutor.runWorker（ThreadPoolExecutor.java:1145）     at java.util.concurrent.ThreadPoolExecutor $ Worker.run（ThreadPoolExecutor.java:615）     在java.lang.Thread.run（Thread.java:745）

任何人都可以帮忙??

干杯 彩