Data Quality Monitor
Functions
The Data Quality Monitor node is used to monitor the quality of running data.
Parameters
Table 1 and Table 2 describe the parameters of the Data Quality Monitor node.
Parameter |
Mandatory |
Description |
---|---|---|
Node Name |
Yes |
Name of a node. The name must contain 1 to 128 characters, including only letters, numbers, underscores (_), hyphens (-), slashes (/), less-than signs (<), and greater-than signs (>). |
Job Type |
Yes |
Data quality job. The following options are available:
|
Quality Job Name |
Yes |
Name of a quality job created in DataArts Quality. This parameter is mandatory when Job Type is Quality Job. For details about how to create a quality job, see Creating a Data Quality Job. |
Ignore Quality Job Alarm |
Yes |
This parameter is mandatory when Job Type is Quality Job.
|
Comparison Job Name |
Yes |
Name of a comparison job created in DataArts Quality. This parameter is mandatory when Job Type is Comparison Job. For details about how to create a comparison job, see Creating a Data Comparison Job. |
Ignore Comparison Job Alarm |
Yes |
This parameter is mandatory when Job Type is Comparison Job.
|
Parameter |
Mandatory |
Description |
---|---|---|
Max. Node Execution Duration |
Yes |
Execution timeout interval for the node. If retry is configured and the execution is not complete within the timeout interval, the node will be executed again. |
Retry upon Failure |
Yes |
Whether to re-execute a node if it fails to be executed. Possible values:
|
Policy for Handling Subsequent Nodes If the Current Node Fails |
Yes |
Operation that will be performed if the node fails to be executed. Possible values:
|
Enable Dry Run |
No |
If you select this option, the node will not be executed, and a success message will be returned. |
Task Groups |
No |
Select a task group. If you select a task group, you can control the maximum number of concurrent nodes in the task group in a fine-grained manner in scenarios where a job contains multiple nodes, a data patching task is ongoing, or a job is rerunning. |
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