zhaorui2022 opened a new issue, #68582:
URL: https://github.com/apache/airflow/issues/68582

   ### Description
   
   Similar to https://github.com/apache/airflow/issues/66839
   
   Databricks query tags help with cost attribution and track back the origin 
of Databricks queries. The link issue added query tags in 
DatabricksSqlOperator, DatabricksCopyIntoOperator, however, there are other 
operators that send queries directly to Databricks and can be instrumented with 
query tags, that is, 
   
   - DatabricksSqlSensor: 
https://github.com/SkastVnT/airflow/blob/ee12bab9132e0a29766e30f5cdd75cf796a53e6f/providers/databricks/src/airflow/providers/databricks/sensors/databricks_sql.py
 (this should also cover DatabricksPartitionSensor: 
https://github.com/SkastVnT/airflow/blob/ee12bab9132e0a29766e30f5cdd75cf796a53e6f/providers/databricks/src/airflow/providers/databricks/sensors/databricks_partition.py)
   - DatabricksSqlStatementSensor (uses a different API 
`DatabricksHook.post_sql_statement` to send queries): 
https://github.com/SkastVnT/airflow/blob/ee12bab9132e0a29766e30f5cdd75cf796a53e6f/providers/databricks/src/airflow/providers/databricks/sensors/databricks.py
   - DatabricksSqlStatementOperator: 
https://github.com/SkastVnT/airflow/blob/ee12bab9132e0a29766e30f5cdd75cf796a53e6f/providers/databricks/src/airflow/providers/databricks/operators/databricks.py#L1103
   
   ### Use case/motivation
   
   Query tags helps to track the origin of Databricks queries, and can be used 
for cost attribution and etc
   
   ### Related issues
   
   https://github.com/apache/airflow/issues/66839
   
   ### Are you willing to submit a PR?
   
   - [ ] Yes I am willing to submit a PR!
   
   ### Code of Conduct
   
   - [x] I agree to follow this project's [Code of 
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
   


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