Submitted instances are runnable instances that are generated when you initiate an immediate data backfill operation for a recurring task or when you submit pending instances. You can perform operations such as rerunning, stopping, setting to success and resuming scheduling, pausing, or resuming submitted instances. This topic describes how to view and manage submitted instances.
Submitted instances entry
In the top navigation bar of the Dataphin homepage, choose Developer > O&M.
In the navigation pane on the left, choose Instance O&M > Data Backfill Instance.
In the top navigation bar, select the production or development environment.
On the Data Backfill Instance page, click the Submitted Instance tab.
Introduction to the submitted instances page
On the submitted instances page, you can manage the generated data backfill instances.

Block | Description |
① Filter and search area | You can filter submitted instances by entering the instance object name or ID. This is useful when you know the instance object ID or name and want to filter out the required submitted instances.
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② List operations |
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③ Submitted instances list | The submitted instances page lists the submitted instances generated from auto triggered tasks. The list includes Data Backfill Name-Data Timestamp, Data Backfill Status, Data Backfill Flow, Submitter/Time, Data Timestamp, Running Duration, Node Count, Tag, and supported Actions. |
④ Batch operations area | You can use the batch operation functions provided in the batch operations area to process data backfill instances in batches, improving operational efficiency. For specific information, see Batch operations supported for submitted instances. |
Data backfill instance status description
The system defines the running status of a data backfill instance based on the running status of the data timestamp. The overall running status of a data backfill instance is determined by the normalized status of all data timestamps, as shown in the following table.
When a data backfill instance contains paused instances, the Data Backfill Status displays both the normalized status and whether there are paused instances. If some instances are paused, it displays Partially Paused. If all instances are paused, it displays All Paused.
Judgment Order | Normalized Status | Judgment Logic |
1 | Not Running | If the instance is in the initialization state or all instances have a status of Not Running, the data backfill instance status is Not Running. |
2 | Running | If there are instances in the waiting or running state and no instances have failed, the data backfill instance status is Running. |
3 | Failed | If there are failed instances, the data backfill instance status is Failed. |
4 | Succeeded | If all instances have a status of Succeeded, the data backfill instance status is Succeeded. |
View the submitted instances list in tree view
The data backfill instance O&M list page displays the current Data Backfill Name-Data Timestamp, Data Backfill Status, Data Backfill Flow, Submitter/Time, Data Timestamp, Running Duration, Node Count, and supported operations.
The tree view of a submitted instance has three layers, as shown in the following figure.

Section | Description |
①First layer | Data backfill task layer: This is the data backfill task, named as the instance name configured when executing the data backfill operation. Each data backfill operation submission generates a corresponding data backfill task layer. |
②Second layer | Data timestamp layer: This displays all data timestamps that need data backfill under the data backfill instance, with each data timestamp corresponding to a folder. |
③Third layer | Data backfill instance layer: This displays the instances generated after executing the data backfill operation on the task. You can also view the DAG graph that the instance depends on. The DAG for data backfill instances under each data timestamp is the same. |
First and second layers: Operations supported for a single data backfill instance.
Operation
Description
View data backfill status details
Click the
icon next to the data backfill status in the first layer. You can view the status statistics of all data backfill instances under the current data backfill node.One-Click Stop
Dataphin automatically selects nodes with a running status of Waiting and Running, and logical table fields and their associated fields with a status of Not Running, Running, and Waiting in the current folder to execute the stop operation. This operation does not affect nodes or logical table fields with other running statuses.
One-Click Rerun Failed Instances
Dataphin automatically selects nodes or logical table fields with a running status of Failed in the current folder for rerunning. This operation does not affect nodes or logical table fields with other running statuses.
Third layer: Operations supported for a single data backfill instance.
NoteClick the
button in the Running Status column to filter instances by status. The available statuses are Success, Failed, Running, Waiting for Scheduled Time, Throttling, Not Run, and Waiting for Schedule Resource.Click the Instance Name
button in the column to search for data backfill instances within the current data backfill task.Click the
icon in the Scheduled Runtime, End Time, or Duration column to sort the data backfill instances by Scheduled Runtime, End Time, or Duration in ascending or descending order.
The operations supported for data backfill instances of integration and computing tasks, along with modeling tasks, are the same as those supported for the corresponding recurring instances. For more information, see:
Batch operations supported for submitted instances
The batch operations supported for submitted instances are different from those supported for recurring instances. The batch operations for submitted instances are detailed in the following table.
Operation | Description |
Rerun | After selecting multiple data backfill instances, choose Rerun All Failed Instances, Rerun All Instances In Desired State, or Force Rerun All Instances at the bottom of the list. After rerunning, the data of the current instance node is directly updated. Downstream nodes that have not started running due to the current instance's failure will automatically start running after the current instance is successfully rerun.
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Stop | Only instances with a status of Succeeded or Not Running do not support the stop operation. Instances with other statuses support the stop operation. After stopping, the running status of the instance changes to Failed. After the current instance node stops running, its downstream nodes will not run either. Note If the selected instances include instances with a status of Succeeded or Not Running, batch stop operations are not supported. The stop operation is often used in the following scenarios:
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Continue Scheduling on Success | Manually sets multiple instance nodes with a running status of Failed or Not Running to Succeeded and continues to participate in scheduling. Downstream instances that were only blocked from running due to the current instance's failure will start running. Important Downstream instances that depend on data produced by the current instance may run with errors. Please evaluate the risks. |
Pause | Only instances with a status of Not Running, Waiting for Scheduling Time, or Throttled support pausing. Note When pausing, only instances that support pausing are affected. The system automatically skips instances that do not support pausing. |
Resume | Only paused instances support resuming. Note When resuming, only instances that support resuming are affected. The system automatically skips instances that do not support resuming. |
Modify Priority | Click the |
Download All | Select multiple instances, click the |
Operations supported for data backfill DAG nodes
Click the data backfill instance name to enter the data backfill DAG graph. The DAG graph shows the relationships between data backfill nodes and their dependent nodes under each data timestamp.
Dataphin supports O&M management of cross-project nodes. When performing O&M operations on cross-project data backfill instance nodes, you need to have view and operation permissions for the project to which the instance belongs.
When viewing the DAG graph, the instance object list will display the instance object's name and scheduled running time. When you hover the mouse pointer over an instance object, it will display the current object's node name, node ID, scheduled running time, and running duration.
The operations supported for data backfill DAG nodes are the same as those supported for recurring instances. For details, see: