Dataphin:Configure Alibaba Blink real-time mode resources

Procedure

1. In the top menu bar of the Dataphin home page, choose Development > Data Development.

2. In the top menu bar, select a Project. If you are in Dev-Prod mode, also select an Environment.

3. In the navigation pane on the left, choose Data Processing > Script Task. In the list of compute tasks on the right, click the target compute task.

4. In the sidebar on the right, click Configure. In the panel that appears, click the Real-time Mode tab.

5. In the Resource Configuration section of the real-time mode configuration panel, configure the Resource Configuration settings.

   Parameter	Description
   Resource Queue	Defaults to the resource queue selected when you created the Blink SQL task. You can switch to a different queue. Important Switching the queue may affect task execution. The change takes effect after you submit the task. Proceed with caution.
   Engine Version	Defaults to the engine version selected when you created the Blink SQL task. You can switch to a different version.
   Resource configuration type	System-recommended configuration Intelligent mode (BETA) for fine-grained resource configuration in real-time computing Flink. Intelligent mode builds on expert mode. In intelligent mode, a job uses the resource configuration from expert mode and enables the AutoPilot auto-tuning feature. In auto configuration mode, you do not need to configure resources manually. Autopilot generates resource configurations for the job and tunes them based on runtime status to optimize resource usage while keeping the job healthy. For more information about Autopilot, see Configure auto-tuning. Custom configuration Expert mode (BETA) for fine-grained resource configuration in real-time computing Flink. Fully managed Flink introduces this resource configuration mode, providing fine-grained control over job resources to meet throughput requirements. Jobs automatically run in Native K8s mode based on your configured resource requirements. The system determines TM specifications and count based on Slot specifications and job concurrency. For more information about configuring fine-grained resources, see Configure job deployment information. To customize Blink SQL task resources in Dataphin, see Customize Alibaba Blink real-time mode resources.
   Resource configuration record	When Resource Configuration settings change, click Save current configuration as new record. You can view details, start, or delete a saved record.
   Auto-tuning	Enable auto-tuning and set the Maximum CUs and Expected maximum memory for the task at runtime. Maximum CUs: The upper limit of compute unit (CU) resources for the job. 1 CU = 1 Core + 4 GB memory. This value must be less than the CUs available for the project. Expected maximum memory: The upper limit of memory resources the job is expected to use.

6. Click OK to complete the resource configuration for the real-time mode.