We are building an airflow server on an EC2 instance that communicates to an EMR cluster to run spark jobs. We are trying to submit a BashOperator DAG that runs a spark-submit command for a simple wordcount application. Here is our spark submit command below:
./spark-submit --deploy-mode client --verbose --master yarn wordcount.py s3://bucket/inputwordcount.txt s3://bucket/outputbucket/ ;
We're getting the following error: Exception in thread "main" org.apache.spark.SparkException: When running with master 'yarn' either HADOOP_CONF_DIR or YARN_CONF_DIR must be set in the environment.
So far we've set HADOOP_CONF_DIR and YARN_CONF_DIR to /etc/hadoop/ in our EC2 instance in our .bashrc and have copied the spark-env.sh from the EMR cluster to /etc/hadoop/ on the EC2 Instance
We aren't too sure what files we are supposed to copy over to HADOOP_CONF_DIR/YARN_CONF_DIR directory in the EC2 for the spark-submit command to send the job to the EMR cluster running spark. Has anyone had experience configured a server to send spark commands to a remote server, we would appreciate the help!