Spark job submission using Airflow by submitting batch POST method on Livy and tracking job

Question

I want to use Airflow for orchestration of jobs that includes running some pig scripts, shell scripts and spark jobs.

Mainly on Spark jobs, I want to use Apache Livy but not sure whether it is good idea to use or run spark-submit.

What is best way to track Spark job using Airflow if even I submitted?

Bertilla

Answer 1

My assumption is you an application JAR containing Java / Scala code that you want to submit to remote Spark cluster. Livy is arguably the best option for remote spark-submit when evaluated against other possibilities:

• Specifying remote master IP: Requires modifying global configurations / environment variables
• Using SSHOperator: SSH connection might break
• Using EmrAddStepsOperator: Dependent on EMR

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Regarding tracking

• Livy only reports state and not progress (% completion of stages)
• If your'e OK with that, you can just poll the Livy server via REST API and keep printing logs in console, those will appear on task logs in WebUI (View Logs)

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Other considerations

• Livy doesn't support reusing SparkSession for POST/batches request
• If that's imperative, you'll have to write your application code in PySpark and use POST/session requests

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References

• How to submit Spark jobs to EMR cluster from Airflow?
• livy/examples/pi_app
• rssanders3/livy_spark_operator_python_example

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Useful links

• How to submit Spark jobs to EMR cluster from Airflow?
• Remote spark-submit to YARN running on EMR

Enteritis

Thank you @Enteritis . My source code is in scala and want to run as Application using jar. It looks like Livy is better option and i will submit using batches with POST method. Tracking progress is problematic but I think for now tracking status should be good enough. – Bertilla