Manually triggered instances are generated when manually triggered tasks are run. You can view the details of and perform operations on manually triggered instances in the instance list or in the directed acyclic graph (DAG) of the instance.
You can configure alert rules for the status of only auto triggered instances. You cannot configure alert rules for the status of manually triggered instances, data backfill instances, or test instances.
You must purchase DataWorks Professional Edition or a more advanced edition to use the instance diagnostics feature for manually triggered instances.
Go to the Manual Instance page
Log on to the DataWorks console. In the top navigation bar, select the desired region. In the left-side navigation pane, choose . On the page that appears, select the desired workspace from the drop-down list and click Go to Operation Center.
In the left-side navigation pane, choose
to go to the Manual Instance page.
Manage instances
You can view and manage manually triggered instances, event-triggered workflow instances, and manually triggered workflow instances.
Manage manually triggered instances
After you run a manually triggered task in Manage manually triggered tasks, a manually triggered instance is generated on the current page.
Go to the Manual Instance tab. You can filter and view information about manually triggered instances by specifying conditions such as Task Name, Task Type, and Business Time.
Perform operations on manually triggered instances.
Individual operations: You can Stop or Rerun a manually triggered instance in the Actions column, or click More to view information such as instance run logs.
Batch operations: You can select multiple manually triggered instances and then click the Stop or Rerun button at the bottom to perform batch operations on the manually triggered instances.
DAG operations: You can perform related operations through Manage the DAG of a manually triggered instance.
Manage event-triggered workflow instances
You can manually run a workflow in Manage event-triggered workflows or run a workflow through Event trigger. After the workflow is triggered, the system generates a corresponding workflow instance on the current page.
Go to the Event-triggered Workflow Instance tab. You can filter and view information about event-triggered workflow instances by specifying conditions such as Task Name, Trigger, and Business Time.
NoteManually triggered: For event-triggered workflow instances that are manually triggered, the trigger is displayed as
-
.Event-triggered: For event-triggered workflow instances that are triggered by events, the name of the trigger is displayed.
Perform operations on event-triggered workflow instances.
Individual operations: You can Stop or Rerun an event-triggered workflow instance in the Actions column, or click
to edit the event-triggered workflow instance in DataStudio.Batch operations: You can select multiple event-triggered workflow instances and then click the Stop or Batch Rerun button at the bottom to perform batch operations on the event-triggered workflow instances.
DAG operations: You can perform related operations through Manage the DAG of a manually triggered instance.
You can understand the running overview information of the current instance by referring to the icons below the task instance.
: The number of instances in the running state.
: The number of instances that are successfully run.
: The number of instances that failed to run.
: The number of instances that are not run.
Manage manually triggered workflow instances
After you run a manually triggered workflow in Manage manually triggered workflows, a manually triggered workflow instance is generated on the current page.
Go to the Manual Workflow Instance tab. You can filter and view information about manually triggered workflow instances by specifying conditions such as Workflow, Running Status, and Business Time.
Perform operations on manually triggered workflow instances.
Individual operations: You can Batch Stop or Rerun a manually triggered workflow instance in the Actions column.
Batch operations: You can select multiple manually triggered workflow instances and then click the Stop or Batch Rerun button at the bottom to perform batch operations on the manually triggered workflow instances.
DAG operations: You can perform related operations through Manage the DAG of a manually triggered instance.
You can understand the running overview information of the current workflow instance by referring to the icons below the manually triggered workflow.
: The number of instances in the running state.
: The number of instances that are successfully run.
: The number of instances that failed to run.
: The number of instances in states other than those mentioned above.
Manage the DAG of a manually triggered instance
Click the Instance Name or DAG in the Actions column to open the DAG of the current instance. In the DAG, you can right-click an instance to perform related operations.
In the list of manually triggered workflows, click the name of a manually triggered workflow. The DAG of the workflow appears on the right. The workflow may contain multiple instances.
Operation | Description |
Show Ancestor Nodes | You can view six level of ancestor instances of an instance. Note Only manually triggered workflow instances support showing ancestor node information. |
Show Descendant Nodes | You can view six level of descendant instances of an instance. Note Only manually triggered workflow instances support showing descendant node information. |
View Runtime Log | View the run logs of the instance in the Running, Successful, or Failed state. Note
|
Instance Diagnose | Track the status of the instance and identify problems. For more information, see Intelligent diagnosis. |
View Code | View the code of the node instance. |
Edit Node | Go to the DataStudio page to modify the content of the current workflow. |
View Lineage | View the lineage of the instance. |
Stop | Stop the instance. |
Rerun | Rerun the instance if the instance fails or is not run as scheduled. Note You can rerun only instances in the Successful or Failed state. |