Cloud Runtime Concepts

Cloud runtimes are configured through compute profiles and created by provisioners.


A provisioner is responsible for creating and tearing down the cloud cluster where the batch pipeline will be executed. Different provisioners are capable of creating different types of clusters on various clouds. Currently, there is a Google Dataproc provisioner, an Amazon Elastic MapReduce (EMR) provisioner, and a Remote Hadoop provisioner.

Each provisioner exposes a set of configuration settings that control the type of cluster that will be created for a run. For example, the Google Dataproc and Amazon EMR provisioners have configuration settings for the size of the cluster. Provisioners also have settings for the credentials required to talk to their respective clouds and provision the required compute nodes. Profiles provide these configuration settings.

Compute Profiles

A compute profile is a CDAP entity that specifies a provisioner name and a set of configuration settings for that provisioner. CDAP administrators create compute profiles. Compute profiles can be assigned to batch pipelines. When a compute profile is assigned to a pipeline, the provisioner specified in the profile will be used to create a cluster where the pipeline will run instead of running the pipeline in the native CDAP cluster.

For example, an administrator might decide to create small, medium, and large compute profiles. Each profile is configured with the Google Cloud Platform credentials required to create and delete Dataproc clusters in the company’s cloud account. The small profile is configured to create a 5-node cluster. The medium profile is configured to create a 20-node cluster. The large profile is configured to create a 50-node cluster. The administrator assigns the small profile to pipelines that are scheduled to run every hour on small amounts of data while the large profile is assigned to pipelines that are scheduled to run every day on a large amount of data.

Created in 2020 by Google Inc.