Applications not shown in yarn UI when running mapreduce hadoop job?

Question

I am using Hadoop2.2. I see that my jobs are completed with success. I can browse the filesystem to find the output. However, when I browse http://NNode:8088/cluster/apps, I am unable to see any applications that have been completed so far ( I ran 3 wordcount jobs, but none of it is seen here).

Are there any configurations that need to be taken into account?

Here is the yarn-site.xml

<property>
        <name>yarn.resourcemanager.hostname</name>
        <value>NNode</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
<!--
  <property>
    <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
    <value>org.apache.hadoop.mapred.ShuffleHandler</value>
  </property>
-->

Here is mapred-site.xml:

<property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>

I have job history server running too:

jps
4422 NameNode
5452 Jps
4695 SecondaryNameNode
4924 ResourceManager
72802 Jps
5369 JobHistoryServer

Answer 1

After applications are completed, their responsibility might be moved to Job History Server. So check Job History Server URL. It normally listen on port 19888. E.g.

http://<job_history_server_address>:19888/jobhistory

Log directories and log retain durations are configurable in yarn-site.xml. With YARN, even one can aggregate logs to a single (configurable) location.

Sometimes, even though application is listed, logs are not available (I am not sure if its due to some bug in YARN). However, almost each time I was able to get the logs using command line:

yarn logs -applicationId the_application_id

Athough there are multiple options. Use help for details:

yarn logs --help

Answer 2

you can refer Hadoop is not showing my job in the job tracker even though it is running

                    conf.set("fs.defaultFS", "hdfs://master:9000");
                    conf.set("mapreduce.jobtracker.address", "master:54311");
                    conf.set("mapreduce.framework.name", "yarn");
                    conf.set("yarn.resourcemanager.address", "master:8032");

I tested in my cluster. It works!