This topic describes how to manage a data transformation job in the Log Service console.
You can view the details and status of a job in the console. You can also start, stop,
modify, and delete the job and configure alerts.
View the details of a job
- Log on to the Log Service console.
- In the Projects section, find the project to which the job belongs and click the project.
- In the left-side navigation pane, choose .
- In the data transformation job list, find and click the job.
- On the Data Transformation Overview page, view the details of the job.

Parameter |
Description |
Source Logstore |
The name of the Logstore from which data is read for transformation. |
Status |
The status of the job. For more information, see View the status of a job.
|
Task ID |
The ID of the job. |
Time Range |
The time range within which the job is run. |
Rule Created At |
The time when the transformation rule was created. |
Rule Modified At |
The time when the transformation rule was last modified. |
Task End Time |
The time when the job ends.
Note If you do not set End Time when you create the job, the value of this parameter is
empty.
|
Storage Target |
The name of the storage destination, the name of the Logstore where transformed data
is stored, and the name of the project to which the Logstore belongs.
|
Consumption Progress |
The data consumption progress of the job. |
Status |
The dashboard that is provided by Log Service to display the statistics about the
execution of the transformation rule. The statistics include the overall information,
transformation rate, consumption latency, consumption rate, active shards, and exceptions.
For more information, see Data transformation dashboard.
|
View the status of a job
You can view the status of a data transformation job on the
Data Transformation Overview page. The following table lists the job states and the operations supported in each
state.
State/Action |
Stop the job |
Start the job |
Rerun the job |
Modify the job |
Delete the job |
Starting |
Not supported |
Not supported |
Not supported |
Supported |
Supported |
Running |
Supported |
Not supported |
Supported |
Supported |
Supported |
Stopping |
Not supported |
Not supported |
Not supported |
Supported |
Supported |
Terminated |
Not supported |
Supported |
Supported |
Supported |
Supported |
Success |
Not supported |
Not supported |
Supported |
Supported |
Supported |
Failed |
Not supported |
Not supported |
Supported |
Supported |
Supported |
Stop a job
If a job is in the
Running state, you can click
Stop on the
Data Transformation Overview page of the job.
Note If a data transformation job is stopped, the system records the checkpoint at which
the job is stopped. If the job is started again, data transformation is resumed from
this checkpoint. If you want to resume data transformation from the beginning, you
must rerun the job. For more information, see
Rerun a job.
Start a job
If a job is in the Terminated state, you can click Start on the Data Transformation Overview page of the job.
Rerun a job
You can rerun a job regardless of the job status. You can choose on the
Data Transformation Overview page of the job.
Note If you rerun a job, the job is run from the beginning. If you want to continue with
a job from the checkpoint at which the job was stopped, you must stop the job and
then start the job.
Modify a transformation rule
Note After you modify a transformation rule:
- If you want to use the new transformation rule to continue with the job, you must
stop the job and then start the job.
- If you want to use the new transformation rule to rerun the job, you must run the
job from the beginning. For more information, see Rerun a job.
- On the Data Transformation Overview page, click Edit Rules.
- Modify the transformation rule based on your business requirements.
- Preview transformation results.
- Select Quick.
- Click Preview Data.
- View the results.
- If data fails to be transformed because the syntax of the transformation rule or configured
permissions are invalid, troubleshoot the failure as prompted.
- If the transformed data is returned as expected, go to 4.
- Click Modify Processing Rule.
- Modify the settings and click OK.
Delete a job
Warning After you delete a data transformation job, the job cannot be recovered. Exercise
caution when you delete a job.
You can delete a job by using one of the following methods:
- In the data transformation job list, move the pointer over the job that you want to
delete and choose .
- On the Data Transformation Overview page, choose .
Configure alerts
In the Data Transformation Troubleshooting dashboard of the Data Transformation Overview page, you can view the metrics of the
data transformation job, subscribe to the dashboard, or configure monitoring and alerts
for the metrics. For more information, see Enable monitoring for data transformation tasks.