The big data management platform uses static service resource pools to manage and isolate service resources that are not running on Yarn. The platform dynamically manages the CPU, I/O, and memory capacity that can be used by HBase, HDFS, and Yarn on the deployment nodes. The system supports time-based automatic policy adjustment for static service resource pools. This enables a cluster to automatically adjust the parameters at different periods to ensure a more efficient utilization of resources.
On MRS Manager, users can view the monitoring indicators of the resources used by each service in static service pools. The following indicators are included:
In the Real-Time Statistics area, select All Services. The resource usage of all services in the service pool is displayed in Real-Time Statistics.
Effective Configuration Group specifies the resource control configuration group used by cluster services currently. By default, the default configuration group is used at all periods in a day. This configuration group specifies that cluster services can use all CPUs and 70% of the memory of a node.
In the Real-Time Statistics area, select a specified service. The resource usage of the service in the service pool will be displayed in Real-Time Statistics.
The following parameters are supported: