easontm opened a new issue #20898:
URL: https://github.com/apache/airflow/issues/20898


   ### Apache Airflow version
   
   2.2.3 (latest released)
   
   ### What happened
   
   The metric `scheduler.tasks.running` is populated from the variable 
`num_tasks_in_executor` in scheduler_job.py. However, `num_tasks_in_executor` 
is initialized to `0` and then never updated again.
   
   Function `_executable_task_instances_to_queued`:
   
https://github.com/apache/airflow/blob/c59001d79facf7e472e0581ac8a538c25eebfda7/airflow/jobs/scheduler_job.py#L328
   
   
https://github.com/apache/airflow/blob/c59001d79facf7e472e0581ac8a538c25eebfda7/airflow/jobs/scheduler_job.py#L457
   
   I considered just opening a PR modifying that value with the rest of these 
"counter" modifications:
   
https://github.com/apache/airflow/blob/c59001d79facf7e472e0581ac8a538c25eebfda7/airflow/jobs/scheduler_job.py#L449-L452
   
   However, I'm not sure if this is the best course of action because we don't 
know if the tasks is successfully added until the the list of executable TIs is 
returned within `_critical_section_execute_task_instances`, and those TIs are 
attempted to be queued in `_enqueue_task_instances_with_queued_state`. 
   
   
https://github.com/apache/airflow/blob/c59001d79facf7e472e0581ac8a538c25eebfda7/airflow/jobs/scheduler_job.py#L534-L540
   
   
https://github.com/apache/airflow/blob/c59001d79facf7e472e0581ac8a538c25eebfda7/airflow/executors/base_executor.py#L73-L85
   
   ### What you expected to happen
   
   _No response_
   
   ### How to reproduce
   
   _No response_
   
   ### Operating System
   
   Ubuntu 19.10
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Deployment
   
   Other Docker-based deployment
   
   ### Deployment details
   
   _No response_
   
   ### Anything else
   
   _No response_
   
   ### 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://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
   


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