Tuning the Application Services
Tune the application services for big data processing.
You tune the application services according to the deployment type that best describes the big data processing requirements in your environment. For each application service, the heap memory is tuned based on the deployment type.
The following table describes how the heap memory is tuned for each application service based on the deployment type:
Service | Sandbox | Basic | Standard | Advanced |
---|
Analyst Service | 768 MB | 1 GB | 2 GB | 4 GB |
Content Management Service | 1 GB | 2 GB | 4 GB | 4 GB |
Data Integration Service | 640 MB | 2 GB | 4 GB | 6 GB |
Model Repository Service | 1 GB | 1 GB | 2 GB | 4 GB |
Resource Manager Service | 512 MB | 512 MB | 2 GB | 4 GB |
Search Service | 768 MB | 1 GB | 2 GB | 4 GB |
Data Integration Service
When you tune the Data Integration Service, the deployment type additionally defines the execution pool size for jobs that run in the native and Hadoop environments.
The following table lists the execution pool size that is tuned in the native and Hadoop environments based on the deployment type:
Run-time Environment | Sandbox | Basic | Standard | Advanced |
---|
Native | 10 | 10 | 15 | 30 |
Hadoop | 10 | 500 | 1000 | 2000 |
Note: If the deployment type is Advanced, the Data Integration Service is tuned to run on a grid.