duspring opened a new issue, #10021: URL: https://github.com/apache/dolphinscheduler/issues/10021
### Search before asking - [X] I had searched in the [issues](https://github.com/apache/dolphinscheduler/issues?q=is%3Aissue) and found no similar issues. ### What happened    When verifying data quality rules, you must enter global variables or local variables. If you do not enter them, data quality task command: null will be reported. ### What you expected to happen When verifying data quality rules, it can be verified normally without entering global variables or local variables, instead of having to write ### How to reproduce Found when running the task flow to view the logs when validating the data quality rules ### Anything else [LOG-PATH]: /opt/module/ds300/worker-server/logs/20220513/5501567964736_2-122-147.log, [HOST]: Host{address='172.22.224.113:1234', ip='172.22.224.113', port=1234} [INFO] 2022-05-13 03:22:54.375 [taskAppId=TASK-20220513-5501567964736_2-122-147] TaskLogLogger-class org.apache.dolphinscheduler.plugin.task.dq.DataQualityTask:[81] - data quality task params {"localParams":[],"resourceList":[],"ruleId":10,"ruleInputParameter":{"check_type":"1","comparison_type":7,"failure_strategy":"0","operator":"3","src_connector_type":0,"src_datasource_id":1,"src_field":null,"src_table":"testa","threshold":"0"},"sparkParameters":{"deployMode":"cluster","driverCores":1,"driverMemory":"512M","executorCores":2,"executorMemory":"2G","numExecutors":2,"others":"--conf spark.yarn.maxAppAttempts=1"}} [INFO] 2022-05-13 03:22:54.400 [taskAppId=TASK-20220513-5501567964736_2-122-147] TaskLogLogger-class org.apache.dolphinscheduler.plugin.task.dq.DataQualityTask:[176] - data quality task command: null ### Version dev ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://www.apache.org/foundation/policies/conduct) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
