All Products
Search
Document Center

Realtime Compute for Apache Flink:Manage workflow and node instances

Last Updated:May 27, 2026

After you create a workflow, you can manage its instances and nodes. This topic describes how to view the details of workflow instances and the logs of node instances.

Prerequisites

A workflow must be created and run. For more information, see Create a workflow and Run a workflow.

View the details of a workflow instance

  1. Log on to the Realtime Compute for Apache Flink console.

  2. Locate the desired workspace, and in the Actions column, click Console.

  3. In the navigation pane on the left, choose Operation Center > Workflows.

  4. Click the name of the target workflow to go to the workflow instance page.

    image.png

    • On the Workflow Instance List and Details tab, you can view all workflow instances and the runtime and status of each.

    • On the Workflow Instance List and Details tab, click the Run ID of a workflow instance, or click the Workflow Instance Graph tab. The color of each node instance indicates its running status. For more information about statuses, see Workflow statuses.

View the details of a node instance

  1. Log on to the Realtime Compute for Apache Flink console.

  2. For the workspace that you want to manage, click Console in the Actions column.

  3. In the left navigation pane, choose Operation Center > Workflows.

  4. Click the name of the target workflow to go to the workflow instance page.

  5. On the Workflow Instance List and Details tab, in the Workflow Instance List section, click the Run ID of a workflow instance to view its Workflow Instance Graph.

  6. Click the target node instance. In the node information dialog box that appears, you can view information about the node instance.

    image

    • View Node Logs: Displays the operational logs of the node instance.

    • View Job Instance Details: You can view the details of the job instance on the Job O&M page.

    • Rerun: Reruns the node. You can select Execute the same operation for downstream nodes to rerun all downstream nodes.

    • Set to Success: Sets the status of a failed node to Success to skip the node. You can select Execute the same operation for downstream nodes to set the status of all downstream nodes to Success.

    • Stop: Stops a running node instance.

Related documents

  • For more information about the concepts related to the Workflows feature, see Workflows (public preview).

  • You can add resource queues to isolate and manage resources. For more information, see Manage queues.

  • To deploy batch jobs (SQL, JAR, or Python), see Deploy a job.