AWS EMR Serverless ServiceQuotaExceededException

Hi Max,

My job is running with this config "--conf spark.executor.cores=1 --conf spark.executor.memory=2g --conf spark.driver.cores=1 --conf spark.driver.memory=2g --conf spark.executor.instances=1 " and the ServiceQuotaLimit is 16 vCPUs. I am not able to understand how this is adding up to 16. Need to understand that to calculate what limit I should request for.

From the documentation, it seems that spark.dynamicAllocation.enabled is True by default, the spark.dynamicAllocation.maxExecutors default value is infinite (for version 6.10.0 and higher): https://docs.aws.amazon.com/emr/latest/EMR-Serverless-UserGuide/jobs-spark.html so our job was creating a high number of workers. We are going to disable this option and see if we still hit the vCPU limits.

You can read more about vCPU account limits here: https://aws.amazon.com/blogs/compute/preview-vcpu-based-instance-limits/

To request an increase - first determine how many vCPUs you need - then open a support case, and ask for a limit increase to the number of vCPUs that you need. Follow the process discussed in the EC2 Knowledge Center Article on vCPU Limit Increases.