Table of contents

Using Spark advanced features

Depending on the way you configure Analytics Engine powered by Apache Spark, you can take advantage of Spark advanced features that support application deployment and monitoring when you create instances.

Important: You must configure the Analytics Engine powered by Apache Spark service to support Spark advanced features before you create instances. The advanced features will not be available for instances created before the advanced feature was enabled for the service.

These advanced features include:

  • When a Spark service instance is created, a deployment space is associated with instance. The deployment space contains all the job runs associated with the particular instance.
  • You can check the Spark application-id, job-id, the status and the duration of a job from the IBM Cloud Pak for Data user interface.
  • You can view and download logs from the user interface.
  • You can upload the Spark application JAR or file as an asset, which is automatically added to the Spark classpath making it available to the Spark job.
  • You can also leverage the jobs dashboard to view jobs based on their status.

Enabling advanced features

Required services: The Common core services must be installed. See Shared cluster components.

Required role: You must be an Openshift administrator or Openshift project administrator to make changes to the Analytics Engine custom resource (CR).

To enable using the advanced features in provisioned instances perform the following steps:

  1. Log in to the Cloud Pak for Data cluster.
  2. Update the spec.serviceConfig.sparkAdvEnabled property in the Analytics Engine CR YAML file that was used to set up Analytics Engine powered by Apache Spark.
  3. Then apply the changes to the existing deployed CR using the following command:
    oc apply -f analyticsengine-cr.yaml -n <namespace>
  4. Wait for the Analytics Engine CR to be in Completed state:
    oc get analyticsengine -n <namespace>

    The configuration changes might need a few minutes to take effect. All Spark instances that are subsequently created will have the Spark advanced features enabled.