You can perform administrative tasks for Analytics Engine powered by Apache
Spark , such as exporting audit
records or scaling the service. Ensure that you have the required permissions to complete
tasks.
Service configuration
| Task |
Required permissions |
Details |
| Using advanced
features |
Instance administrator |
Take advantage of Analytics Engine powered by Apache
Spark advanced features that support application
deployment and monitoring when you create instances. |
| Managing
instances |
Instance administrator |
Manage the Analytics Engine powered by Apache
Spark instances by using the Cloud Pak for Data web client. |
| Managing
service and instance level configurations |
Instance administrator |
The administrator can configure certain service level defaults by editing or adding the following
properties in the Analytics Engine custom resource.
|
| Changing
instance resource quota |
Instance administrator |
Control the resources, such as CPU and memory, that are used in a single Spark service
instance by specifying a quota at the service instance level. |
| Changing the Spark
default runtime |
Instance administrator |
Cloud Pak for Data supports multiple Spark runtime
versions. You can change the default Spark runtime version.
|
| Changing
cron job configurations |
Instance administrator |
Use cron jobs to automate repetitive tasks on the Spark cluster. |
| Implementing
runtime retention policy |
Cluster administrator |
The data retention policy governs the retention and deletion of records based on specified
parameters. |
Resource management
| Task |
Required permissions |
Details |
| Manually scaling
resources for services |
Cluster administrator or Instance administrator |
Adjust Analytics Engine powered by Apache
Spark by scaling resources to support high availability or to
increase processing capacity. Resources can be scaled based on predefined resource
configurations. |
| Automatically scaling resources
for services |
Not supported |
|
| Shutting down and restarting
services |
Not
supported |
|