View monitor details - DataWorks - Alibaba Cloud Documentation Center

The Run Records module in Data Quality displays the rule validation results for monitoring jobs. After a job runs, you can view its details on the Run Records page.

Go to the task query page

Log on to the DataWorks console. In the top navigation bar, select the desired region. In the left-side navigation pane, choose Data Governance > Data Quality. On the page that appears, select the desired workspace from the drop-down list and click Go to Data Quality.
In the navigation pane on the left, click Quality O&M > Running Records.
On the Running Records page, you can filter monitoring jobs by criteria such as Data Source, Table Name, Check Result, Handling Policy, and My Subscriptions.

View monitoring jobs

Rule Perspective

In the upper-right corner, click Perspective and switch to Rule Perspective.

Name	Description
ID/rule name	The ID and name of the quality rule.
Check Result	The result of the data validation. Results include Passed, Orange Abnormal, Red Abnormal, Checking, and Check Failed. Passed: The data validation meets expectations because the result satisfies the quality rule. Orange Abnormal: The data validation metric hits the orange threshold range for abnormal quality. This range usually means that the data validation is abnormal but does not affect subsequent business operations. Red Abnormal: The data validation metric hits the red threshold range for abnormal quality. This range usually means that the data validation does not meet expectations and will severely affect subsequent business operations. Checking: The monitoring job is in progress. Check Failed: The validation task failed to run. For example, the monitored partition was not generated, or the SQL script used for monitoring failed to run.
Handling Policy	Indicates whether the task is blocked. Statuses include Alert and Blocks.
End Time	The time when the data validation ended.
Table Name	The name of the target table for data validation.
Association Range	Indicates whether the quality rule is at the table level or Field Level level.
Template	The rule template used by the quality rule.
Degree of importance	The importance of the rule. Strong rule: An important rule. If a red abnormal result occurs, the scheduling task associated with the monitoring job is blocked by default. Soft rule: A normal rule. If a red abnormal result occurs, the scheduling task associated with the monitoring job is not blocked by default.
Monitoring Threshold	The comparison method and threshold range of the rule.
Details	Click Details in the Actions column for a rule to view its specific run records. You can view Running Record This Time, History Run Record, Problem data processing, and Raw Log: Click History Run Record for the corresponding rule to view the run record after each scheduling. Provide handling suggestions for the current run of the rule as follows: Click Problem Handling. In the Problem Handling dialog box, select a Handling Method and enter your Comments. Click Confirm. Click Raw Log for the corresponding rule to view its log information.
Rule	Click Rule in the Actions column for a rule to go to the table quality details page. On this page, you can view all rules associated with the quality rule task.

Monitor Perspective

In the upper-right corner, click Perspective and switch to Monitor Perspective.

Job query

Name	Description
Table Name	Select the target table for the monitoring job to validate, as needed.
Monitor	The name of the monitoring job.
Check Result	The result of the monitoring job. Results include Passed, Orange Abnormal, Red Abnormal, Checking, and Check Failed. Passed: The data validation meets expectations because the result satisfies the quality rule. Orange Abnormal: The data validation metric hits the orange threshold range for abnormal quality. This range usually means that the data validation is abnormal but does not affect subsequent business operations. Red Abnormal: The data validation metric hits the red threshold range for abnormal quality. This range usually means that the data validation does not meet expectations and will severely affect subsequent business operations. Checking: The monitoring job is in progress. Check Failed: The validation task failed to run. For example, the monitored partition was not generated, or the SQL script used for monitoring failed to run.
Handling Policy	Indicates whether the monitoring job is blocked. Statuses include Alert and Blocks.
Start Time	The time when the monitoring job started.
Timestamp Range	The target partition of the target table that the monitoring job validates.
Trigger Method	The trigger method for the monitoring job. Methods include Production Scheduling Trigger and Triggered Manually.
Data Timestamp	The business time corresponding to the partition specified by the timestamp range.
Details	Click Details in the Actions column for a table name to view all validation rules associated with the quality rule task. Select a rule to view its Running Record This Time, History Run Record, Problem data processing, and Raw Log. You can: Click History Run Record for the corresponding rule to view the run record after each scheduling. Provide handling suggestions for the current run of the rule as follows: Click Problem Handling for the corresponding rule. In the Problem Handling dialog box, select a Handling Method and enter your Comments. Click Confirm. Click Raw Log for the corresponding rule to view its log information.
Rule	Click Rule in the Actions column for a table name to go to the table quality details page. On this page, you can view all rules associated with the quality rule task.
View lineage	Click View Lineage in the Actions column for a table name to go to Data Map. On this page, you can view the lineage information for the table.