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DataWorks:View and manage manually triggered instances

Last Updated:Oct 28, 2024

Manually triggered instances are generated when manually triggered tasks are run. You can view the details of and perform the required operations on a manually triggered instance in the list of manually triggered instances. You can also view the details of and perform the required operations on a manually triggered instance in the directed acyclic graph (DAG) of the instance.

Important
  • Manually triggered instances created in DataWorks V1.0 are listed as the Manually Triggered Node type, and those created in DataWorks V2.0 or later are listed as the Manually Triggered Workflow type.

  • 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, and 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 Triggered Nodes page

  1. Log on to the DataWorks console. In the top navigation bar, select the desired region. In the left-side navigation pane, choose Data Development and Governance > Operation Center. On the page that appears, select the desired workspace from the drop-down list and click Go to Operation Center.

  2. In the left-side navigation pane of the Operation Center page, choose Manual Triggered Node O&M > Manual Triggered Nodes. On the Manual Triggered Nodes page, you can view the list and DAGs of manually triggered workflows that contain manually triggered instances.

View the list of manually triggered workflows

手动业务流程

Operation

Description

Filter

Search for the required workflows by specifying the filter conditions in the area marked with 1 in the preceding figure.

You can search for workflows by workflow name or by specifying one or more of the following filter conditions:Type, Owner, Data Timestamp, and Run At.

View the status of manually triggered instances

  • 运行中: the number of running instances in the current workflow

  • 成功: the number of successful instances in the current workflow

  • 失败: the number of failed instances in the current workflow

  • 其他: the number of instances that are not in the preceding states in the current workflow

DAG

Open the DAG of the workflow by clicking DAG in the Actions column in the area marked with 3 in the preceding figure. You can view the running results of the instances that belong to the workflow. For more information, see View the DAG of a manually triggered workflow.

View the DAG of a manually triggered workflow

To view the DAG of a workflow, click the name of the workflow or click DAG in the Actions column. In the DAG, you can right-click a manually triggered instance to perform related operations.DAG

Note

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.

Show Descendant Nodes

You can view six level of descendant instances of an instance.

View Runtime Log

View the run logs of the instance in the Running, Successful, or Failed state.

Note
  • You cannot manually delete an instance. DataWorks automatically deletes the instance about 30 days after the instance expires.

  • The instances of a task that runs on the shared resource group for scheduling can be retained for a month after they expire. The logs of the instances can be retained for a week. If the size of the logs generated for an instance exceeds 3 MB, the system clears the logs every day.

  • The instances of a task that runs on an exclusive resource group for scheduling can be retained for a month after they expire. The logs of the instances can also be retained for a month.

Instance Diagnose

Track the status of the instance and identify problems. For more information, see Intelligent diagnosis.

View Code

View the code of the instance.

Edit Node

Go to the DataStudio page to modify the instance of the 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.