我安装了OOZIE并且可以运行它，但我在OOZIE和我的项目中遇到了另一个问题：
Java代码工作正常，但是当我尝试在Oozie中实现它时，它就不再起作用了。我在Oozie的地图阶段输出规格有问题，但我不知道是什么
我的jar文件（名称wordcount1.jar）包括：
--JoinMapper $ MovieMapper
--JoinMapper $ FigureMapper
--JoinReducer
这是我的错误日志：
2016-03-09 01：24：30,441 INFO CallbackServlet：539 - USER [ - ] GROUP [ - ] TOKEN [ - ] APP [ - ] JOB [0000017-160308222246102-oozie-oozi-W]行动[0000017-160308222246102-oozie -oozi-W @ wordcount1]回调行动[0000017-160308222246102-oozie-oozi-W @ wordcount1]
2016-03-09 01：24：30,812 INFO MapReduceActionExecutor：539 - USER [training] GROUP [ - ] TOKEN [] APP [example-workflow] JOB [0000017-160308222246102-oozie-oozi-W]行动[0000017-160308222246102- oozie-oozi-W @ wordcount1]操作完成，外部ID [job_201603082221_0037]
2016-03-09 01：24：30,912 WARN MapReduceActionExecutor：542 - USER [training] GROUP [ - ] TOKEN [] APP [example-workflow] JOB [0000017-160308222246102-oozie-oozi-W]行动[0000017-160308222246102- oozie-oozi-W @ wordcount1] Launcher ERROR，原因：主类[org.apache.oozie.action.hadoop.MapReduceMain]，main（）抛出异常，null
2016-03-09 01：24：31,120 INFO ActionEndXCommand：539 - USER [training] GROUP [ - ] TOKEN [] APP [example-workflow] JOB [0000017-160308222246102-oozie-oozi-W]行动[0000017-160308222246102- oozie-oozi-W @ wordcount1] SLA的ERROR被视为失败
2016-03-09 01：24：31,250 INFO ActionStartXCommand：539 - USER [training] GROUP [ - ] TOKEN [] APP [example-workflow] JOB [0000017-160308222246102-oozie-oozi-W] ..
我有以下job.properties文件：
nameNode=hdfs://localhost:8020
jobTracker=localhost:8021
queueName=default
examplesRoot=joinoozie
oozie.use.system.libpath=true
oozie.wf.application.path=${nameNode}/user/training/${examplesRoot}
inputDir1=movies1
inputDir2=figures1
我的workflow.xml文件如下：
<workflow-app name="example-workflow" xmlns="uri:oozie:workflow:0.4">
<start to="wordcount1" />
<!-- WordCount MapReduce job -->
<action name="wordcount1">
<map-reduce>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<prepare>
</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>mapred.job.queue.name</name>
<value>${queueName}</value>
</property>
<property>
<name>mapreduce.inputformat.class</name> <value>org.apache.hadoop.mapreduce.lib.input.DelegatingInputFormat</value>
</property>
<property>
<name>mapreduce.map.class</name> <value>org.apache.hadoop.mapreduce.lib.input.DelegatingMapper</value>
</property>
<property>
<name>mapreduce.input.multipleinputs.dir.formats</name> <value>${inputDir1};org.apache.hadoop.mapred.TextInputFormat,${inputDir2};org.apache.hadoop.mapred.TextInputFormat</value>
</property>
<property>
<name>mapreduce.input.multipleinputs.dir.mappers</name> <value>${inputDir1};JoinMapper$MovieMapper,${inputDir2};JoinMapper$FigureMapper</value>
</property>
<property>
<name>mapreduce.reduce.class</name>
<value>JoinReducer</value>
</property>
<property>
<name>mapred.output.dir</name>
<value>output_oozie</value>
</property>
</configuration>
</map-reduce>
<ok to="end" />
<error to='end'/>
</action>
<end name="end" />
</workflow-app>
有人可以帮我解决这个问题吗？会很棒..
谢谢，
安迪