After a workflow runs, you can monitor its execution and act on individual nodes — rerun a failed job, stop a running node, or override a node's status to unblock downstream work.
Prerequisites
Before you begin, ensure that you have:
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A workflow that has been created and triggered. See Manage workflows
View workflow runs
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Log on to the E-MapReduce (EMR) console.
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In the left-side navigation pane, choose EMR Serverless > Spark.
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On the Spark page, click the name of the workspace.
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In the left-side navigation pane of the EMR Serverless Spark page, click Workflows.
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On the Workflows page, click the name of the workflow. The Workflow Runs tab lists all workflow runs with their running duration and running status.
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To view the run graph, click a workflow run ID in the Workflow Run ID column, or click the Workflow Run Graph tab. In the graph, each node's color indicates its running status. For status definitions, see Check the status of workflow runs and workflow nodes in "Manage workflows."
View and manage workflow node runs
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Log on to the EMR console.
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In the left-side navigation pane, choose EMR Serverless > Spark.
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On the Spark page, click the name of the workspace.
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In the left-side navigation pane of the EMR Serverless Spark page, click Workflows.
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On the Workflows page, click the name of the workflow.
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Click the Workflow Run Graph tab.
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Click a node in the graph to open the node dialog box.
Action Description Details View node run details on three tabs: Node Instance Information (job ID, start time, and job run ID), Code (the node's code), and Logs (the node run logs). Spark UI Open the Spark Jobs page to view real-time information about the Spark job, including status, progress, and resource usage. Rerun Rerun the current job. To also rerun all downstream nodes in sequence, select Downstream Nodes before clicking Rerun. Stop Stop the running node. The node enters the Failed state after it stops. Set to Successful Change the node status from Failed to Succeeded. To also mark all downstream failed nodes as Succeeded in sequence, select Downstream Nodes before clicking Set to Successful. Job Run ID Click the link next to Job Run ID to open the Overview tab of the Job History page, where you can view the job's basic information and configurations. 
Usage notes
Stop and rerun
Stopping a node sets it to Failed. You can then rerun it from the node dialog box.
Downstream Nodes option
When you select Downstream Nodes before using Rerun or Set to Successful, the operation applies to all downstream nodes in the logical sequence defined in the workflow — not just the selected node.
Set to Successful
Set to Successful changes a node's status from Failed to Succeeded without rerunning the job. Use this to unblock downstream nodes when you have resolved the underlying issue separately and want the workflow to continue.
What's next
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For workflow concepts such as node types and status definitions, see Terms.
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To create or trigger workflows, see Manage workflows.