apache / apache/airflow

Metrics - DagRun Schedule Delay

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#32,160 4 comments 0 reactions 0 assignees View on GitHub
_eol_affected_version:2.6 area:core area:metrics kind:bug
Dominant language
Python
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Description

### Apache Airflow version

2.6.2

### What happened

The timers `airflow_dagrun..first_task_scheduling_delay` and `airflow_dagrun.schedule_delay.` both get emitted correctly in StatsD but not in OTel.

I am submitting this as an Issue since I will be a little distracted for the next bit and figured someone may be able to have a look in the meantime. Please do not assign it to me, I'll get it when I can is nobody else does.

### What you think should happen instead

Behavior should be consistent.

### How to reproduce

To reproduce, you can run Breeze with the statsd or the otel integration (for example breeze start-airflow --integration otel) and run the following DAG, then open the [OTel](http://localhost:28889/metrics) or [StatsD](http://localhost:29102/metrics) raw data view to verify.

```
from airflow import DAG
from airflow.decorators import task
from airflow.utils.timezone import datetime

@task
def task1():
return 'Hello'

@task
def task2():
return 'World!'

@task
def task3(in1, in2):
print(f'{in1} {in2}')

with DAG(
dag_id='taskflow_demo',
start_date=datetime(2021, 1, 1),
schedule=None,
catchup=False
) as dag:

task3(task1(), task2())
```

You will see that OTel does emit `airflow_dagrun_first_task_scheduling_delay` and `airflow_dagrun_schedule_delay`with tags containing the dag_id, but it does not get the version of the matric which contains the embedded dag_id.

This MIGHT be due to the name length restrictions in OTel but if that is the case then it should be emitting a truncated name, not dropping/ignoring it.

### Operating System

ubuntu

### Versions of Apache Airflow Providers

_No response_

### Deployment

Docker-Compose

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] 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)

Contributor guide

Open the contributing guide

Research direction

Start by running the provided DAG with Breeze using the StatsD and OTel integrations, then inspect the raw metrics at the two linked local endpoints. Compare the metrics containing the embedded dag_id with those carrying it as a tag; done means both integrations expose equivalent schedule-delay metrics without silently dropping the embedded-name variants.

Written by the indexing model from the issue text.

Assessment

Tech stack
docker-compose, python
Domain
observability
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
42/100

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