there is no application logs of spark job. i think it's because the job
still on running state.
i've tune it like your earlier mail for tuning too. hadoop job was
success using your tuning suggestion config. but still not worked on spark.
is there any other configuration that i must set?? especially in spark
configuration
On 15/02/16 15:53, Jaydeep Vishwakarma wrote:
By the log snap I can see that Launcher is able to launch spark job.
Please share the application logs of spark job.
I am also suspecting 2 cores and lack memory might creating problem.
You may wish to tune your cluster. Please refer my earlier mail for
tuning.
On Mon, Feb 15, 2016 at 2:04 PM, tkg_cangkul <[email protected]
<mailto:[email protected]>> wrote:
hi jaydeep,
thx for your reply.
it has been succeed to submit job. but the proccess stuck at
running state.
the RM memory that i've set is 5GB. and i has been separate the
queue mapred job & oozie launcher job.
RM
i've succees to submit hadoop job with this config and it's
succeed. but when i try submit spark job it was stuck on that
state. is there any missed configuration? pls help. FYI. this is
just a single node machine.
On 15/02/16 14:05, Jaydeep Vishwakarma wrote:
Can you check error you have in app master?
On Mon, Feb 15, 2016 at 12:19 PM, tkg_cangkul<[email protected]>
<mailto:[email protected]> wrote:
i try to subbmit spark job with oozie but it was failed with this message.
Main class [org.apache.oozie.action.hadoop.SparkMain], exit code [1]
is it any wrong configuration from me?
this is my xml conf.
<workflow-app xmlns='uri:oozie:workflow:0.5' name='tkg-cangkul'>
<start to='spark-node' />
<action name='spark-node'>
<spark xmlns="uri:oozie:spark-action:0.1">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapred.job.queue.name <http://mapred.job.queue.name></name>
<value>default</value>
</property>
<property>
<name>oozie.launcher.mapred.job.queue.name
<http://oozie.launcher.mapred.job.queue.name></name>
<value>user1</value>
</property>
</configuration>
<master>yarn-cluster</master>
<name>Spark</name>
<class>cobaSpark.pack</class>
<jar>hdfs://localhost:8020/user/apps/cobaSpark.jar</jar>
<arg>/user/apps/sample1.txt</arg>
<arg>/user/apps/oozie-spark/out</arg>
</spark>
<ok to="end" />
<error to="fail" />
</action>
<kill name="fail">
<message>Workflow failed, error
message[${wf:errorMessage(wf:lastErrorNode())}]
</message>
</kill>
<end name='end' />
</workflow-app>
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