Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 2 Next »

You can create and provision a service model in three different ways: Creating a Profile and Service Model Using the Model Builder, Service Model DefinitionCreating a Profile and Provisioning via REST

To deploy the new service model:

  1. Stop all KPI Management workflows that will use the service model.

  2. Kill Spark applications and associated drivers that will use the service model. For further information about the Spark UI, see 5.7.3 Killing a Spark Application.

  3. Remove the checkpoint directory. The default path is MZ_HOME/spark-checkpoint-dir.

  4. Submit the Spark application. For further information, see 5.7.2 Submitting a Spark Application.

  5. Start the KPI Management workflows that will use the service model.

  • No labels