As
@Artem Ervits mentioned, Oozie Spark Action is not yet supported. Instead you can follow the alternative from the tech note below: https://community.hortonworks.com/content/kbentry/51582/how-to-use-oozie-shell-action-to-run-a-spark-job-i-1.html
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Begin Tech Note
-------------------- Because spark action in oozie is not supported in HDP 2.3.x and HDP 2.4.0, there is no workaround especially in kerberos environment. We can use either java action or shell action to launch spark job in oozie workflow. In this article, we will discuss how to use oozie shell action to run a spark job in kerberos environment. Prerequisite:
1. Spark client is installed on every host where nodemanager is running. This is because we have no control over which node the 2. Optionally, if the spark job need to interact with hbase cluster, hbase client need to be installed on every host as well. Steps: 1. Create a shell script with the spark-submit command. For example, in the script.sh:
/usr/hdp/current/spark-client/bin/spark-submit --keytab keytab --principal
ambari-qa-falconJ@FALCONJSECURE.COM --class org.apache.spark.examples.SparkPi --master yarn-client --driver-memory 500m --num-executors 1 --executor-memory 500m --executor-cores 1 spark-examples.jar 3 2. Prepare kerberos keytab which will be used by the spark job. For example, we use ambari smoke test user, the keytab is already generated by Ambari in/etc/security/keytabs/smokeuser.headless.keytab. 3. Create the oozie workflow with a shell action which will execute the script created above, for example, in the workflow.xml:
<workflow-app name="WorkFlowForShellAction" xmlns="uri:oozie:workflow:0.4">
<start to="shellAction"/>
<action name="shellAction">
<shell xmlns="uri:oozie:shell-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<exec>script.sh</exec>
<file>/user/oozie/shell/script.sh#script.sh</file>
<file>/user/oozie/shell/smokeuser.headless.keytab#keytab</file>
<file>/user/oozie/shell/spark-examples.jar#spark-examples.jar</file>
<capture-output/>
</shell>
<ok to="end"/>
<error to="killAction"/>
</action>
<kill name="killAction">
<message>"Killed job due to error"</message>
</kill>
<end name="end"/>
</workflow-app>
4. Create the oozie job properties file. For example, in job.properties:
nameNode=hdfs://falconJ1.sec.support.com:8020
jobTracker=falconJ2.sec.support.com:8050
queueName=default
oozie.wf.application.path=${nameNode}/user/oozie/shell
oozie.use.system.libpath=true 5. Upload the following files created above to the oozie workflow application path in HDFS (In this example: /user/oozie/shell):
- workflow.xml
- smokeuser.headless.keytab
- script.sh
- spark uber jar (In this example: /usr/hdp/current/spark-client/lib/spark-examples*.jar)
- Any other configuration file mentioned in workflow (optional) 6. Execute the oozie command to run this workflow. For example:
oozie job -oozie
http://<oozie-server>:11000/oozie -config job.properties -run --------------------
End Tech Note
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