The schedule resource dashboard displays the usage and allocation of configured schedule resources in a Dataphin cluster. You can view and analyze the global resource configuration and individual task resource allocation. This helps improve resource utilization, reduce costs, and lower the risk of task backlogs due to resource shortages, which enhances platform stability.
Prerequisites
You must contact the Dataphin deployment team to deploy Prometheus monitoring and collect monitoring data before you can use the schedule resource dashboard.
The schedule resource dashboard switch must be turned on in Management Center > Resource Settings > Resource Monitoring for the metadata warehouse tenant. For more information, see Resource Monitoring.
Permission description
Only super administrators, system administrators, and custom global roles with the Development - Modify Default Cluster for Resource Dashboard permission can change the default cluster displayed on the schedule resource dashboard.
Feature description
The schedule resource dashboard analyzes Dataphin cluster schedule resources from two perspectives: resource allocation and resource consumption, with a focus on CPU and memory metrics. The dashboard also lists tasks that are recommended for optimization. These tasks may have low resource utilization, which wastes resources, or high utilization, which creates a risk of memory overflow. Identifying and resolving these issues promptly enhances platform stability and reduces costs.
The resource dashboard consists of three modules: resource allocation, resource consumption, and recommended optimization tasks. You can view the latest snapshot values to quickly identify and resolve blocking tasks that consume excessive resources and cause task backlogs. You can also analyze trends over time to identify optimization opportunities and improve resource utilization.
Data statistics frequency
Data is collected once per minute. For allocated resources, the dashboard displays a snapshot of the current value. For consumed resources, it displays the peak value from the past minute. The data on the page updates each time you refresh it.
Schedule resource dashboard entry
On the Dataphin home page, choose Development > Task O&M from the top menu bar.
In the navigation pane on the left, choose Overview > Schedule Resource Dashboard to open the Schedule Resource Dashboard page.
Tenant resource dashboard page introduction
Dataphin instances that use a Mesos architecture do not support the tenant resource dashboard.

Section | Description |
①Source Cluster | The default schedule cluster is selected by default. You can switch to any Normal status cluster that has metric collection enabled. You can also change the default display cluster for the schedule resource dashboard. |
②Resource Overview | View and analyze the resources allocated by the selected source cluster. This includes the CPU Allocation Value and Memory Allocation Value.
Note For Dataphin instances with a K8s architecture that do not support custom resource groups, only CPU and memory allocation values are displayed. |
③Resource Consumption | Displays the CPU and memory consumption for the current tenant within a specified time and for a specific resource group.
Note For Dataphin instances with a K8s architecture that do not support custom resource groups, resource group filtering is not supported, and the available upper and lower limits are not displayed in the graph. |
④Recommended Optimization Tasks | Displays recommended optimization tasks for the current tenant by CPU and Memory dimensions. It only includes recurring tasks in the production environment that use resources from the selected schedule cluster. SQL and other shared container tasks are not included. The task list includes the following parameters:
You can filter tasks in the upper-right corner of the list. The supported filter options include the following:
Click Export in the upper-right corner of the list to export the task list with the current filters to an Excel file. Each value in the Last 7 Consumption Values column is separated by a comma (,) and placed in the same cell. |
Recommendations for optimization tasks
If a task's allocated resources consistently exceed its consumed resources and the task has a long runtime, monitor it closely. This helps prevent the task from affecting ad hoc queries and other tasks, which could impact downstream services.
If a task's allocated resources consistently exceed its consumed resources but the task has a short runtime, consider reallocating the excess resources to other tasks that require them.
If a task's consumed resources consistently approach its allocated resources, monitor it to prevent delays or failures caused by insufficient resources.
If a task's memory usage reaches 100%, monitor it closely. You should increase its memory allocation to prevent failures caused by memory overflow, which could affect data output.
Cluster resource dashboard page introduction

Section | Description |
①Source Cluster | The default schedule cluster is selected by default. You can switch to any Normal status cluster that has metric collection enabled. You can also change the default display cluster for the schedule resource dashboard. |
②Resource Overview | View and analyze the resources allocated by the selected source cluster. This includes the CPU Allocation Value and Memory Allocation Value.
|
③Resource Consumption | Displays the CPU and memory consumption for the default schedule cluster.
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④Recommended Optimization Tasks | When the consumption value is very different from the allocation value, use the optimization task list to find tasks with low consumption rates. Adjust their resource configurations to improve overall resource utilization. For more information, see Recommended optimization tasks and Recommendations for optimization tasks. Note Only Dataphin instances with a Mesos architecture support recommended optimization tasks. |