我将mapreduce作业打包为jar文件(mymapreduce.jar)。运行时,需要一些参数,例如hadoop jar mymapreduce.jar StartClass -i input -p parameter1 -u parameter2。如何将其作为Oozie工作流文件中的操作编写?
答案 0 :(得分:1)
在job.properties文件中的oozie工作流中编写要使用的参数,如下所示
nameNode=hdfs://localhost:9000
hdfs://abc.xyz.yahoo.com:8020
jobTracker=localhost:9001
queueName=default
examplesRoot=map-reduce
oozie.wf.application.path=${nameNode}/user/${user.name}/${examplesRoot}
inputDir=/user/input-data
outputDir=/user/map-reduce
您可以在workflow.xml中的job.properties中添加配置和变量,如下所示。
<workflow-app name='wordcount-wf' xmlns="uri:oozie:workflow:0.2">
<start to='wordcount'/>
<action name='wordcount'>
<map-reduce>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<prepare>
</prepare>
<configuration>
<property>
<name>mapred.job.queue.name</name>
<value>${queueName}</value>
</property>
<property>
<name>mapred.mapper.class</name>
<value>org.myorg.WordCount.Map</value>
</property>
<property>
<name>mapred.reducer.class</name>
<value>org.myorg.WordCount.Reduce</value>
</property>
<property>
<name>mapred.input.dir</name>
<value>${inputDir}</value>
</property>
<property>
<name>mapred.output.dir</name>
<value>${outputDir}</value>
</property>
</configuration>
</map-reduce>
<ok to='end'/>
<error to='end'/>
</action>
<kill name='kill'>
<value>${wf:errorCode("wordcount")}</value>
</kill/>
<end name='end'/>
</workflow-app>
希望这有帮助。
答案 1 :(得分:1)
您可以使用java动作调用mapreduce作业。应将mapreduce驱动程序类指定为main-class。此外,您可以将所需参数作为args传递。参数解析逻辑应在驱动程序类中定义。
<workflow-app name="mapreduce-wf" xmlns="uri:oozie:workflow:0.4">
<start to="mapreduce_node"/>
<action name="mapreduce_node">
<java>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<main-class>com.test.MyMapreduceDriver</main-class>
<arg>-i</arg>
<arg>-p</arg>
<arg>parameter1</arg>
<arg>-u</arg>
<arg>parameter2</arg>
</java>
<ok to="end"/>
<error to="kill"/>
</action>
<kill name="kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<end name="end"/>
</workflow-app>
另一种选择是将其作为mapreduce操作执行。由于不会指定驱动程序类,因此您可以将所需参数作为配置属性添加到其他mapreduce属性中。您可以使用配置对象在mapper和reducer类中访问这些参数。
<workflow-app name='mapreduce-wf' xmlns="uri:oozie:workflow:0.2">
<start to='mapreduce'/>
<action name='mapreduce'>
<map-reduce>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<prepare>
</prepare>
<configuration>
<property>
<name>p</name>
<value>parameter1</value>
</property>
<property>
<name>u</name>
<value>parameter2</value>
</property>
<property>
<name>mapred.job.queue.name</name>
<value>${queueName}</value>
</property>
<property>
<name>mapred.mapper.class</name>
<value>org.myorg.WordCount.Map</value>
</property>
<property>
<name>mapred.reducer.class</name>
<value>org.myorg.WordCount.Reduce</value>
</property>
<property>
<name>mapred.input.dir</name>
<value>${inputDir}</value>
</property>
<property>
<name>mapred.output.dir</name>
<value>${outputDir}</value>
</property>
</configuration>
</map-reduce>
<ok to='end'/>
<error to='end'/>
</action>
<kill name='kill'>
<value>${wf:errorCode("mapreduce")}</value>
</kill/>
<end name='end'/>
</workflow-app>