Submit Spark jobs to Livy on CDP Public Cloud Data Hub cluster

[#1]

Introduction

This post explains the process of submitting Spark jobs on CDP Public Cloud Data Hub to the Livy server and provides a sample wrapper script for job submission. To understand the Livy Spark submit process, please refer to this post and understand how to arrive at the job configuration.

The following steps submit the Spark Pi job from the spark_examples*.jar on S3.

Steps

1. Get the Livy endpoint for Data hub from the CDP control plane
   
2. Ensure that you have the workload password set for the environment
   
3. Download the Python wrapper script using the following command:
   

   wget https://raw.githubusercontent.com/karthikeyanvijay/cdp-publiccloud/master/datahub-scripts/livy-cdp-spark-submit/cdp_spark_submit.py

4. Edit the script to modify the Livy endpoint, workload username, and password
5. Copy the spark sample jar to the S3
   

   hdfs dfs -cp /opt/cloudera/parcels/CDH-7.2.7-1.cdh7.2.7.p6.11615609/lib/spark/examples/jars/spark-examples_2.11-2.4.5.7.2.7.6-2.jar \
                s3a://vkarthikeyan/

6.  Create a sample job configuration file as follows with the name jobconf.json
   

   {
   "className":"org.apache.spark.examples.SparkPi",
   "args": [1000],
   "file":"s3a://vkarthikeyan/spark-examples_2.11-2.4.5.7.2.7.6-2.jar",
   "driverMemory": "2G",
   "driverCores": 1,
   "executorCores": 2,
   "executorMemory": "4G",
   "numExecutors": 3,
   "queue": "default"
   }

7. Run the script
   

   ./cdp_spark_submit.py

Conclusion

The job should now be submitted to the Data Hub cluster. The wrapper script can also be used on the CDP Private Cloud Base where Livy is configured with Livy.

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Vijay Anand Karthikeyan

[#2]

hi @vkarthikeyan 

how to run the same test but with livy installed in the private cdp, with kerberos and tls enabled?