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gh-apache-airflow-65136 | github_issues | https://github.com/apache/airflow/issues/65136 | orchestration | Task run exception never catch by Sentry | ### Under which category would you file this issue?
Providers
### Apache Airflow version
3.2.0
### What happened and how to reproduce it?
Hello,
I was waiting the PR #57032 to be merged with Sentry fix on the 3.x.
I'm currently testing it and it's not working as I expect.
**Settings:**
Start an instance with ... | setting the variables with this env var names worked for us:
this are correct:
```
AIRFLOW__SENTRY__SENTRY_ON
AIRFLOW__SENTRY__SENTRY_DSN
```
For the environment setting it like so w/o airflow worked for us (not sure if its a bug):
```
SENTRY_ENVIRONMENT
```
for `AIRFLOW__SENTRY__DEBUG` not too sure
| [
"docker",
"airflow",
"mysql",
"kubernetes",
"postgres"
] | true | [
"kind:bug",
"area:task-sdk",
"affected_version:3.2"
] | airflow_errors | error | 0 | 3 | open | 2026-04-13T13:24:55Z | apache/airflow |
gh-apache-airflow-65110 | github_issues | https://github.com/apache/airflow/issues/65110 | orchestration | Status of testing Providers that were prepared on April 12, 2026 | ### Body
I have a kind request for all the contributors to the latest provider distributions release.
Could you please help us to test the RC versions of the providers?
The guidelines on how to test providers can be found in
[Verify providers by contributors](https://github.com/apache/airflow/blob/main/dev/README_RE... | My changes are good, thanks ! | [
"airflow"
] | false | [
"area:providers",
"kind:meta"
] | airflow_knowledge | knowledge | 0 | 3 | open | 2026-04-12T22:22:23Z | apache/airflow |
gh-apache-airflow-65159 | github_issues | https://github.com/apache/airflow/issues/65159 | orchestration | Enable scrolling for the Gantt chart view | ### Under which category would you file this issue?
Airflow Core
### Apache Airflow version
3.1.8
### What happened and how to reproduce it?
When there is a dag run with many tasks (over 26 approximately), you need to scroll to see some of the tasks in the grid view. The scrolling does not work for the Gantt chart... | Duplicate of https://github.com/apache/airflow/issues/63727 | [
"docker",
"airflow",
"kubernetes"
] | true | [
"kind:bug",
"good first issue",
"priority:medium",
"area:UI"
] | airflow_errors | error | 0 | 2 | closed | 2026-04-13T15:51:26Z | apache/airflow |
gh-apache-airflow-65131 | github_issues | https://github.com/apache/airflow/issues/65131 | orchestration | Issue using index-url for seeding during @test.virtualenv intialization | ### Under which category would you file this issue?
Airflow Core
### Apache Airflow version
3.0.6
### What happened and how to reproduce it?
When using the @task.virtualenv tag, we get an expected error failing to fetch pip, due to company firewall rules:
```
[2026-04-13, 11:46:55] INFO - Executing cmd: uv venv --... | Thanks for opening your first issue here! Be sure to follow the issue template! If you are willing to raise PR to address this issue please do so, no need to wait for approval.
| [
"airflow"
] | false | [
"kind:bug",
"needs-triage"
] | airflow_errors | error | 0 | 2 | closed | 2026-04-13T12:17:13Z | apache/airflow |
gh-apache-airflow-65129 | github_issues | https://github.com/apache/airflow/issues/65129 | orchestration | rest api: run_id_pattern does not handle pipe(OR) operator | ### Under which category would you file this issue?
Providers
### Apache Airflow version
3.2
### What happened and how to reproduce it?
Use latest(3.2) airflow docker image, docker compose can look like this:
```yaml
airflow.localhost:
image: apache/airflow:latest
command: airflow standalone
ports: "... | Thanks for opening your first issue here! Be sure to follow the issue template! If you are willing to raise PR to address this issue please do so, no need to wait for approval.
| [
"docker",
"airflow"
] | true | [
"kind:bug",
"area:API",
"priority:medium",
"area:core",
"needs-triage"
] | airflow_errors | error | 0 | 1 | open | 2026-04-13T10:53:15Z | apache/airflow |
gh-apache-airflow-65128 | github_issues | https://github.com/apache/airflow/issues/65128 | orchestration | SQS domain not cover AWS China. | https://github.com/apache/airflow/blob/bb5a744d4494d87817d641b02aa98278ea3a69b6/providers/amazon/src/airflow/providers/amazon/aws/queues/sqs.py#L36 | Thanks for opening your first issue here! Be sure to follow the issue template! If you are willing to raise PR to address this issue please do so, no need to wait for approval.
| [
"airflow"
] | false | [
"kind:bug",
"provider:amazon",
"area:providers"
] | airflow_errors | error | 0 | 1 | open | 2026-04-13T08:18:57Z | apache/airflow |
gh-apache-airflow-65125 | github_issues | https://github.com/apache/airflow/issues/65125 | orchestration | Scheduler: max_consecutive_failed_dag_runs broken by NULL logical_date | ### Under which category would you file this issue?
Airflow Core
### Apache Airflow version
3.2.0.dev0
### What happened and how to reproduce it?
In Airflow 3, logical_date is nullable for many run types. The scheduler's auto-pausing logic in dagrun.py relies on .order_by(DagRun.logical_date.desc()), which is non-... | OR AND DAG NOT PAUSED CORRECTLY SO, SADDALA PLEASE LOOK IN TO THIS ISSUE | [
"docker",
"airflow",
"mysql",
"kubernetes",
"postgres"
] | true | [
"kind:bug",
"area:Scheduler",
"priority:high",
"area:core",
"needs-triage"
] | airflow_errors | error | 0 | 1 | open | 2026-04-13T03:52:25Z | apache/airflow |
gh-apache-airflow-65098 | github_issues | https://github.com/apache/airflow/issues/65098 | orchestration | Add Snowflake data quality operator examples to provider docs and system tests | ### Under which category would you file this issue?
Providers
### Apache Airflow version
2.9+
### What happened and how to reproduce it?
The Snowflake provider API includes `SnowflakeCheckOperator`, `SnowflakeValueCheckOperator`, and `SnowflakeIntervalCheckOperator`, but the current Snowflake operators guide only ... | Thanks for opening your first issue here! Be sure to follow the issue template! If you are willing to raise PR to address this issue please do so, no need to wait for approval.
| [
"docker",
"snowflake",
"airflow",
"kubernetes"
] | true | [
"kind:bug",
"area:providers",
"good first issue",
"area:system-tests",
"kind:documentation",
"provider:snowflake"
] | airflow_errors | error | 0 | 1 | open | 2026-04-12T17:41:27Z | apache/airflow |
gh-apache-airflow-65089 | github_issues | https://github.com/apache/airflow/issues/65089 | orchestration | Split out Authorization from Authentication | ### Description
The airflow auth manager is responsible for both authentication and authorization of the user. By splitting the authentication component out into a separate module, authorization could be done by a separate provider, e.g. using fab to provide authentication via OIDC and then using keycloak to provide a... | I think an AIP describing how to do it would be a good idea - converting to a discussion. | [
"airflow"
] | false | [
"kind:feature",
"area:auth",
"needs-triage"
] | airflow_knowledge | knowledge | 0 | 1 | closed | 2026-04-12T15:03:20Z | apache/airflow |
gh-apache-airflow-65080 | github_issues | https://github.com/apache/airflow/issues/65080 | orchestration | Support `duration` format in Airflow Params | ### Description
Airflow Params are based on JSON Schema, but there is no clear support for duration values. Since JSON Schema already [defines a `duration` format](https://json-schema.org/understanding-json-schema/reference/type#dates-and-times), it could be useful to support something like `Param("PT15M", type="strin... | [
"airflow"
] | false | [
"kind:feature",
"needs-triage"
] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-04-12T10:46:34Z | apache/airflow | |
gh-disc-apache-airflow-65111 | github_discussions | https://github.com/apache/airflow/discussions/65111 | orchestration | Split out Authorization from Authentication | ### Description
The airflow auth manager is responsible for both authentication and authorization of the user. By splitting the authentication component out into a separate module, authorization could be done by a separate provider, e.g. using fab to provide authentication via OIDC and then using keycloak to provide a... | I think an AIP describing how to do it would be a good idea - converting to a discussion. | [
"airflow"
] | false | [
"kind:feature",
"area:auth",
"needs-triage"
] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-04-12T15:03:20Z | apache/airflow |
gh-disc-apache-airflow-65074 | github_discussions | https://github.com/apache/airflow/discussions/65074 | orchestration | Simplify QuickStart for Airflow 3 standalone mode | I have spent a few hours trying to set up Airflow and install a simple DAG. The [DAG page](https://airflow.apache.org/docs/apache-airflow/stable/tutorial/fundamentals.html) focuses too much on explaining what a DAG is, rather than on how to create one.
As a beginner, I have these questions when I set it up.
* I d... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-04-12T05:23:28Z | apache/airflow | |
gh-disc-apache-airflow-64944 | github_discussions | https://github.com/apache/airflow/discussions/64944 | orchestration | Dag processor behavior at considered scale | Hi colleagues, perhaps these questions have been asked before, if yes, my apologies.
- Can I maintain two (or more) replicas of DAG processor?
- If yes, will both replicas process the same file twice? Do they have some sort of locking mechanism?
Is there any advices on the below setup?
We have been runnin... | Great questions — this is exactly the use case `random_seeded_by_host` was designed for.
## Can you run multiple DAG Processor replicas?
**Yes.** In Airflow 3, the DAG Processor is a standalone component that can be scaled horizontally. Run as many replicas as you like:
```yaml
# In a Kubernetes deployment, for exam... | [
"airflow",
"kubernetes"
] | true | [] | airflow_knowledge | knowledge | 0 | 2 | open | 2026-04-09T06:13:09Z | apache/airflow |
gh-disc-apache-airflow-64904 | github_discussions | https://github.com/apache/airflow/discussions/64904 | orchestration | Inconsistent Milestones due dates? | Hi all. I´m wondering how to understand Milestones due dates.
Actually Airflow v3.2.0 is published (great work, I´m installing it right now) but I see Airflow v3.1.9 is scheduled April 9.
How is supposed to do?
Upgrade from Airflow v3.2.0 to Airflow v3.1.9 looks like a downgrade.
May I wait for Airflow v3.1.9 an... | Dates are tentative and depends on many factors.
We do have cases where we release for multiple version lines.
For example: [Airflow 3.0.0](https://pypi.org/project/apache-airflow/3.0.0/) was released on Apr 22, 2025 and [Airflow 2.11.2](https://pypi.org/project/apache-airflow/2.11.2/) was released on Mar 14, 2026
... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-04-08T13:35:33Z | apache/airflow |
gh-disc-apache-airflow-64887 | github_discussions | https://github.com/apache/airflow/discussions/64887 | orchestration | Customize XCom Sidecar Image in offline environment | 1. When do_xcom_push=True is enabled in an offline environment, alpine will be downloaded from docker.io by default
2. How to define the XCom Sidecar Image image for downloading from the Harbor repository
3. Tested potemplate, but the definition of xcom_image in dag does not work | They are defined in the [kubernetes hook](https://github.com/apache/airflow/blob/4a499ad4241876850e4ad93d1db42e3d7b71a634/providers/cncf/kubernetes/src/airflow/providers/cncf/kubernetes/hooks/kubernetes.py#L204-L209)
So they need to be part of your connection:
`AIRFLOW_CONN_KUBERNETES_DEFAULT='{"conn_type": "kubernet... | [
"docker",
"airflow",
"kubernetes"
] | true | [] | airflow_knowledge | knowledge | 0 | 1 | answered | 2026-04-08T08:06:32Z | apache/airflow |
gh-disc-apache-airflow-64842 | github_discussions | https://github.com/apache/airflow/discussions/64842 | orchestration | Access and set dag_run_note from task SDK | I have a custom notifier that I'm trying to port to airflow 3. The notifier sends slack messages on dag failures, but it also puts a link to the message into the dag run notes. This link makes it easier for people to track discussion threads, and we also use the link to update the message once the dag is successful.
... | https://github.com/apache/airflow/issues/64890 | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-04-07T13:39:58Z | apache/airflow |
gh-disc-apache-airflow-64819 | github_discussions | https://github.com/apache/airflow/discussions/64819 | orchestration | Airflow Calendar: A plugin to transform cron expressions into a visual schedule | As a Staff Data Engineer, one of my main responsibilities has always been ensuring Airflow's scalability by managing concurrency and overlapping DAG executions.
However, as our environment grew, it became difficult to keep track of every DAG's schedule. With dozens of different cron expressions tailored to meet the ... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-04-07T00:34:41Z | apache/airflow | |
gh-disc-apache-airflow-64775 | github_discussions | https://github.com/apache/airflow/discussions/64775 | orchestration | S3 Dag Bundle won't remove files removed on remote S3 | Hello.
I'm using S3 Dag Bundle and it works perfectly except one thing. Files removed remotely (in S3 bucket) won't be removed in Airflow. My source S3 bucket contains some config files additionally to dag files. I use these config files to generate dags dynamically like that:
```
configs_dir = Path(__file__).reso... | [
"opentelemetry",
"airflow",
"s3"
] | true | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-04-06T16:12:01Z | apache/airflow | |
gh-disc-apache-airflow-64676 | github_discussions | https://github.com/apache/airflow/discussions/64676 | orchestration | Add support for SSH connection using openSSH certificates in SSHHook | Using SSH certificates is good way to secure and manage ssh connections.
It allows storing short-lived keys and easily revoking them in case of compromise.
The extra field in the ssh_conn object is not limited and it is possible to add keys and values as needed. In this case, it would be convenient to add an ssh_ce... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-04-03T15:16:29Z | apache/airflow | |
gh-disc-apache-airflow-64655 | github_discussions | https://github.com/apache/airflow/discussions/64655 | orchestration | KubernetesExecutor: Worker/Scheduler Pods do not use custom docker image. | I am using latest helm chart (1.20.0) and have a custom Dockerfile in which I install packages and set up the dags and all that into `/opt/airflow/dags`. My issue is that the scheduler/workers and other relevant pods do not use the image that is in my respository.
I do a `helm install --upgrade` and overwrite/set th... | Issue was I'm using a subchart so everything needs to be nested a further level. | [
"docker",
"airflow",
"kubernetes"
] | true | [] | airflow_knowledge | knowledge | 0 | 1 | answered | 2026-04-03T04:49:17Z | apache/airflow |
gh-disc-apache-airflow-64638 | github_discussions | https://github.com/apache/airflow/discussions/64638 | orchestration | Airflow Dynamic Task Fails with httpx time out on an Instance with high load and around 300 active DAGs. | Airflow version 3.1.1
Running on Kubernetes in a Corporate Network
Active DAGs : Around 300
Deployment:
2 Api servers with one worker each
1 DAG Processor
8 Schedulers
1 Triggerer
Each has around 4 CPU and 20 GB memory limits.
I have a particular DAG set up with Dynamic Task Mapping which also uses the `.ma... | The root cause is that your **API servers are heavily under-provisioned** for a 300-DAG, 8-scheduler setup. The Airflow 3 task SDK communicates with the API server for XCom reads (and other task operations) — when the API server is saturated, those calls time out.
## Why this works on dev but not prod
In Airflow 3, t... | [
"gcs",
"airflow",
"kubernetes",
"s3"
] | true | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-04-02T17:54:51Z | apache/airflow |
gh-disc-apache-airflow-64583 | github_discussions | https://github.com/apache/airflow/discussions/64583 | orchestration | Can't build docker images based on slim-2.8.0 or higher | Our Airflow deployment is woefully behind the times and we're finally getting around to upgrading. First step before v3 is to upgrade from 2.7.3 to 2.11.2. We currently use the base image `apache/airflow:slim-2.7.3-python3.10` and run some `apt-get` commands to install other necessary utils. Unfortunately, when trying ... | This is a classic symptom of the transition from Debian 11 (Bullseye) to Debian 12 (Bookworm). Airflow 2.7.3 images were Bullseye-based, but 2.8.0 shifted the default to Bookworm.
The GPG "NO_PUBKEY" and "invalid signature" errors are usually a red herring in CI environments. The real issue is almost always that your ... | [
"docker",
"airflow",
"postgres"
] | true | [] | airflow_knowledge | knowledge | 0 | 1 | answered | 2026-04-01T14:00:24Z | apache/airflow |
gh-disc-apache-airflow-64580 | github_discussions | https://github.com/apache/airflow/discussions/64580 | orchestration | [Dag Processor] Parsing is skipped when there are too many callbacks | Hi all,
I recently encountered an issue (after upgrade to 3.x) where users were complaining about their DAGs not being updated. I'm running Airflow on a big scale, with 75K task instances daily and DAGs generated dynamically.
It's been a hell to debug - no errors, no parsing timeouts, everything working perfectly... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-04-01T13:30:01Z | apache/airflow | |
gh-disc-apache-airflow-64455 | github_discussions | https://github.com/apache/airflow/discussions/64455 | orchestration | airflow has a page on Shypd (AI Tool Directory) | Hey there, **airflow** is listed on **Shypd** — the largest open index of AI tools with 80,000+ listings.
View your tool details here: https://shypd.ai/tools/airflow | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-03-30T05:48:29Z | apache/airflow | |
gh-disc-apache-airflow-64365 | github_discussions | https://github.com/apache/airflow/discussions/64365 | orchestration | [Provider] LLM-powered smart retry operator using local Ollama | ## Hey Airflow Community! 👋
I built a new provider that uses a local LLM (via Ollama) to make
intelligent retry decisions when tasks fail.
### The Problem
Airflow's retry mechanism is static — same wait time, same retry
count regardless of *why* the task failed.
### The Solution
`LLMSmartRetryOperator` ... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-03-28T14:10:33Z | apache/airflow | |
gh-disc-apache-airflow-64344 | github_discussions | https://github.com/apache/airflow/discussions/64344 | orchestration | Large DAG with conditional subset execution: Is DAG Versioning + Dynamic DAG Generation the right approach? | Hi Airflow community,
We're facing a challenge with a large DAG (150+ tasks) and would appreciate your advice on best practices.
Current Setup:
• We have a complex DAG with 150+ tasks
• Each DAG run only needs to execute a subset of these tasks
• Currently we use conditional logic to skip tasks that... | A possible solution is using multiple DAGs (every run triggers multiple dag run). But it is not practical in our case, as it would require launching numerous DAG runs each time, making it difficult to visualize dependencies and resulting in a poor user experience." | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 3 | open | 2026-03-28T03:41:34Z | apache/airflow |
gh-disc-apache-airflow-64334 | github_discussions | https://github.com/apache/airflow/discussions/64334 | orchestration | [Idea] LLM-powered smart retry operator for Airflow 3.x | ## Problem
Airflow's current retry mechanism is static — it waits the same fixed interval
and retries blindly regardless of the error type. This causes:
- Rate limit errors being retried too fast (same error again)
- Auth errors being retried pointlessly (will never succeed)
- Network errors not being retried... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-03-27T20:29:26Z | apache/airflow | |
gh-disc-apache-airflow-64287 | github_discussions | https://github.com/apache/airflow/discussions/64287 | orchestration | Is the `DAG Processor` needed if our dags are static? | Hello we have in our setup an helmchart with our custom docker image that has the `dags` statically defined. as such they will never change. Only when we eventually do a new release the week after.
For such a case does it make sense:
- [min_file_process_interval](https://airflow.apache.org/docs/apache-airflow/sta... | The DAG Processor is still needed even for static DAGs — but you can make it nearly invisible. Here's why, and the right config to use:
## Why you still need it
Airflow's scheduler does **not** read DAG Python files directly — it reads from **serialized DAGs** stored in the metastore. The DAG Processor's job is to:
1... | [
"docker",
"airflow"
] | true | [] | airflow_knowledge | knowledge | 0 | 2 | open | 2026-03-27T10:21:05Z | apache/airflow |
gh-disc-apache-airflow-64196 | github_discussions | https://github.com/apache/airflow/discussions/64196 | orchestration | How to deploy to AWS EKS and start up Airflow properly in Production? | Hello folks! I'm trying to deploy Airflow to our AWS EKS Environments (Dev/UAT/Prod) and am having trouble setting it up properly, specifically the Airflow instance I am trying to install it from the Python Package and get it up and running.
Currently we have some EKS stuff that we deploy so I have followed the same... | You just need to manage your components in some way - systemd or the like, or even have containers or vms per container. Or you can use Docker Compose or Helm Chart / Kubernetes - but it's generally up to you to configure and deploy Airflow. All possible options are nicely described in https://airflow.apache.org/docs/a... | [
"docker",
"airflow",
"kubernetes",
"postgres"
] | true | [] | airflow_knowledge | knowledge | 0 | 2 | answered | 2026-03-24T23:57:00Z | apache/airflow |
gh-disc-apache-airflow-64149 | github_discussions | https://github.com/apache/airflow/discussions/64149 | orchestration | Navbar disappears when loading React Plugin (Airflow 3.1.x) | **Description**
I recently upgraded Apache Airflow from 2.10.5 to 3.1.7. After the upgrade. I migrated my plugin to use the new React Plugin system My plugin page is loading successfully, but I am facing an issue where the navigation bar (Home, DAGs, Browse, Admin) disappears after clicking on the plugin.
**Expec... | This is a common issue when migrating plugins to Airflow 3's React-based plugin system. The navbar disappears because the plugin is rendering outside the Airflow layout context.
## Root cause
In Airflow 3, plugins need to integrate with the React shell rather than the old Flask blueprint pattern. If your plugin rende... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 2 | open | 2026-03-24T09:15:52Z | apache/airflow |
gh-disc-apache-airflow-64107 | github_discussions | https://github.com/apache/airflow/discussions/64107 | orchestration | Missing helm chart artifact 1.20.0 | Hi team,
Despite the announcement of
The helm chart version `1.20.0` release yesterday, there does not seem to be artifact in the following locations:
* <https://archive.apache.org/dist/airflow/helm-chart/>
* <https://downloads.apache.org/airflow/helm-chart/>
Could it be due to automation failure?
Thanks | It's fixed already - that was an SVN "catch-up" issue - it's been simply delayed. | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | answered | 2026-03-23T15:12:41Z | apache/airflow |
gh-disc-apache-airflow-63941 | github_discussions | https://github.com/apache/airflow/discussions/63941 | orchestration | How to efficiently test my DAGs on a per-task basis in Airflow 3? | I am in the process of upgrading DAGs from Airflow 2.10 to 3.x. For each of my DAGs, I tend to have one test for each task that checks the output. A test for a PythonOperator may check that the correct XComs were set, and a SQLExecuteQueryOperator will usually check the final contents of the output table. An example DA... | Airflow 3 changed how task testing works. The `test` command and `DagBag`-based unit testing patterns from 2.x still work but need adjustments.
## Per-task testing in Airflow 3
### Option 1: Use `dag.test()` method
Airflow 3 added a built-in `dag.test()` that runs the DAG in a single process:
```python
from airflow... | [
"redshift",
"s3",
"airflow",
"postgres"
] | true | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-03-19T16:53:07Z | apache/airflow |
gh-disc-apache-airflow-63902 | github_discussions | https://github.com/apache/airflow/discussions/63902 | orchestration | Support triggering DAGS based on conditional assets | Hi, thanks for finding the time to read this.
## 🟦 Current State
We operate a centralized Airflow 3 installation that serves the entire company.
Each team owns a bundle of DAGs that may act as **Producers** or **Consumers**.
- Producer DAGs emit **asset events** when they complete.
- Consumer DAGs should ... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-03-18T20:33:49Z | apache/airflow | |
gh-disc-apache-airflow-63862 | github_discussions | https://github.com/apache/airflow/discussions/63862 | orchestration | How to update a connection password (secret rotation)? | I failed to google this question and find an answer specific to 3.x - as the direct access to the ORM is prevented (used to do this in airflow 2.x)
I try to create an airflow task, which:
* Retrieves the most recent password.
* Retrieves the postgres connection using the connection id.
* Compare the passwords
... | For that you should use secrets managers - and use Secrets manager's to update APIs. Generally the idea is that connections are largerly "read only" for Airflow and rotation is managed outside. When your Dag gets a password that has been rotated - it's something that should not happen - your password should be rotated ... | [
"airflow",
"postgres"
] | true | [] | airflow_knowledge | knowledge | 0 | 2 | answered | 2026-03-18T03:10:52Z | apache/airflow |
gh-disc-apache-airflow-63808 | github_discussions | https://github.com/apache/airflow/discussions/63808 | orchestration | Airflow 2.10.X and standalone OpenTelemetry Collector integration | I'm trying to integrate Airflow 2.10.5 with a standalone OpenTelemetry Collector version 0.70, following the suggested setup script https://github.com/apache/airflow/blob/2.10.2/scripts/ci/docker-compose/integration-otel.yml. However, I'm encountering a 400 Bad Request error. The OpenTelemetry Collector logs don't show... | Tke root of problem is wrong version of installed opentelemetry-exporter on airflow, I don't use constraint for installation and installed lastest version, there is user defined header had top priority rather on suggested opentelemetry-exporter == 1.27.0 on constraints
But, seems like we not needed to hardcode conte... | [
"docker",
"prometheus",
"opentelemetry",
"airflow"
] | true | [] | airflow_knowledge | knowledge | 0 | 2 | answered | 2026-03-17T10:59:37Z | apache/airflow |
gh-disc-apache-airflow-63806 | github_discussions | https://github.com/apache/airflow/discussions/63806 | orchestration | Dynamical arguments for function inside ExternalPythonOperator scheduled using asset events | I am struggling with passing some dynamical parameters to a task and would be grateful for any ideas or suggestions. This is Apache Airflow 3.1.7.
In my DAG, there is a `@task.external_python` that is executed using ExternalPythonOperator, since it depends on some Conda environment. The task itself works fine, the ... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-03-17T10:43:52Z | apache/airflow | |
gh-disc-apache-airflow-63753 | github_discussions | https://github.com/apache/airflow/discussions/63753 | orchestration | FAB /security/users page throws an error in airflow 3 after updating from 2 | The security tab, specifically /users throws this error most of the time (not all the time):
```
jQuery.Deferred exception: Cannot read properties of undefined (reading 'tz') TypeError: Cannot read properties of undefined (reading 'tz')
at f (/staging/airflow/auth/static/dist/main.f3faa56768a6af816bf3.js:2:194... | You might attempt refresh your browser cache. | [
"airflow",
"kubernetes"
] | true | [] | airflow_knowledge | knowledge | 0 | 5 | open | 2026-03-16T20:19:42Z | apache/airflow |
gh-disc-apache-airflow-63749 | github_discussions | https://github.com/apache/airflow/discussions/63749 | orchestration | DagFileProcessorManager Death Spiral and Defunct Scheduler Processes | ### Description
We are experiencing a persistent "death spiral" where the DagFileProcessorManager fails heartbeats and enters a restart loop. Scheduler processes become immune to `SIGTERM `and even `SIGKILL`, which eventually leads to a build-up of defunct processes and scheduler failure. Our environment then becomes ... | [
"airflow",
"kubernetes"
] | true | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-03-16T19:32:59Z | apache/airflow | |
gh-disc-apache-airflow-63706 | github_discussions | https://github.com/apache/airflow/discussions/63706 | orchestration | GlueJobOperator in deferred mode does not include final status details | Hello,
Starting this discussion with the intention to share our use case, current issues and to get any ideas or inspiration on how to best proceed.
### Background
We are currently using MWAA 2.10.3 to orchestrate among others, Glue jobs. For this we are using the GlueJobOperator to trigger runs of already defin... | Hey Simon, I've been working on a related PR for GlueJobOperator deferrable mode missing verbose logs - [#63086](https://github.com/apache/airflow/pull/63086).
I think I know what's causing the issue that you have mentioned — the trigger raises AirflowException directly when the job fails instead of yielding a Trig... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-03-16T09:51:51Z | apache/airflow |
gh-disc-apache-airflow-63718 | github_discussions | https://github.com/apache/airflow/discussions/63718 | orchestration | FAB Provider - 'Server has gone away' | ### Apache Airflow Provider(s)
fab
### Versions of Apache Airflow Providers
apache-airflow-providers-fab 3.4.0
### Apache Airflow version
3.1.8
### Operating System
linux
### Deployment
Official Apache Airflow Helm Chart
### Deployment details
Airflow - AWS EKS K8s cluster, database - MySQL AWS RDS.
### Wha... | Please check server logs. Server has gone away is always accompanied by a message on the server side explaining what was wrong. Alternatively - inspect your firewall rules. Often what happens is that in case of lack of activilty on connectoins, firewalls might close such opened connection. That would be the same if you... | [
"mysql",
"airflow",
"kubernetes"
] | true | [
"kind:bug",
"area:providers",
"area:API",
"pending-response",
"area:auth"
] | airflow_knowledge | knowledge | 0 | 5 | open | 2026-03-15T20:38:08Z | apache/airflow |
gh-disc-apache-airflow-63638 | github_discussions | https://github.com/apache/airflow/discussions/63638 | orchestration | Breeze fails to recognize local Docker images and keeps pulling from Docker Hub | I am in China, where direct access to Docker Hub is blocked and times out.
I have already manually imported the required Docker images locally (including debian:bookworm-slim and docker/dockerfile:1.4), and they appear correctly in docker image ls.
However, when I run breeze, it does not detect the local images at al... | clik@XXX:~/airflow_source$ source /home/clik/airflow_source/.venv/bin/activate
(apache-airflow) clik@XXX:~/airflow_source$ breeze
Docker container engine detected.
Good version of Docker: 29.2.1.
Good version of docker-compose: 5.0.2
Host python version is 3.14.2 (main, Dec 9 2025, 19:03:28) [Clang 21.1.4 ]
CI... | [
"docker",
"opentelemetry",
"airflow"
] | true | [] | airflow_knowledge | knowledge | 0 | 2 | open | 2026-03-15T13:18:45Z | apache/airflow |
gh-disc-apache-airflow-63517 | github_discussions | https://github.com/apache/airflow/discussions/63517 | orchestration | Right on dags based on DagBundles | Hello !
It could be very nice if we can attribute roles on dag bundles and all dags coming from it inherits its the permissions related to the role. | Hey @datasc24,
Inheriting RBAC roles or permissions natively via DagBundles would be a huge organizational win for multi-tenant Airflow. Right now, most people handle this by programmatically attaching `access_control` dicts dynamically during the DAG parsing loop based on the bundle's file path.
Let me know if you m... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-03-13T12:52:00Z | apache/airflow |
gh-disc-apache-airflow-63502 | github_discussions | https://github.com/apache/airflow/discussions/63502 | orchestration | Databricks provider 7.10.0 missing aiofiles package dependency? | Hey there,
When updating my databricks dependencies I got errors for missing aiofiles dependency.
I can see that this new version imports aiofiles (https://github.com/apache/airflow/blob/providers-databricks/7.10.0/providers/databricks/src/airflow/providers/databricks/hooks/databricks_base.py#L37) but its not part ... | Strange, the issue was not identified during testing or during CI build. But yes, this requires adding "aiofiles>=23.2.0", to the pyproject.toml
Will create follow up PR. | [
"airflow",
"spark"
] | true | [] | airflow_knowledge | knowledge | 0 | 4 | answered | 2026-03-13T10:08:37Z | apache/airflow |
gh-disc-apache-airflow-63496 | github_discussions | https://github.com/apache/airflow/discussions/63496 | orchestration | Add a progress tracker to the Backfill UI (succeeded / failed DAG runs) | ## Proposal:
Hey everyone 👋
Our team uses backfills heavily, and one pain point we keep running into is the lack of visibility into how a backfill is actually progressing.
Right now there's no easy way to answer simple questions like:
- How many DAG runs are still pending?
- Did any runs fail?
- Is this b... | Yeou cna always submit a PR - i do not think we need to discuss every single small think like that. Let lack of answer in discussions do not discourage you from iterating on and completing good PR - discussion over green PR where anyone can easily run locally is always best. | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | answered | 2026-03-13T04:46:43Z | apache/airflow |
gh-disc-apache-airflow-63249 | github_discussions | https://github.com/apache/airflow/discussions/63249 | orchestration | Race condition in CeleryExecutor with multiple schedulers causing duplicate TaskInstance execution | **What happened**
We observed a race condition in Airflow 3.1.7 when running with:
- 3 schedulers
- 3 Celery nodes
- Redis broker
A single TaskInstance was executed by **two Celery workers simultaneously**, resulting in inconsistent scheduler state updates.
**Specifically:**
- two different exter... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-03-10T09:52:06Z | apache/airflow | |
gh-disc-apache-airflow-63298 | github_discussions | https://github.com/apache/airflow/discussions/63298 | orchestration | Airflow task failed but spark kube app is running | ### Body
Airflow task got failed where spark kube app is running. Although spark kube app is long running app most probably around 1-2 hour. And there are concurrently many task running at the same time usually it happens between 02:30 am - 03:45 am UTC.
Q) What causing issue ?
A) Airflow task failed while spark ku... | Thanks for opening your first issue here! Be sure to follow the issue template! If you are willing to raise PR to address this issue please do so, no need to wait for approval.
| [
"airflow",
"kubernetes",
"spark"
] | true | [
"kind:bug",
"kind:meta",
"area:core"
] | airflow_knowledge | knowledge | 0 | 5 | open | 2026-03-10T05:10:12Z | apache/airflow |
gh-disc-apache-airflow-63297 | github_discussions | https://github.com/apache/airflow/discussions/63297 | orchestration | psycopg2 UnicodeDecodeError in Docker | ### Apache Airflow version
3.1.7
### If "Other Airflow 3 version" selected, which one?
_No response_
### What happened?
Using the official Docker image and docker-compose.yaml, Postgres DB. The database seems to be created correctly (airflow-init runs without any errors). However, the containers seem to have a pro... | Likely in some of your configuration or env variables you have non-unicode string. That's definitely something in your configuration - maybe a byte injected when copying things from windows.
I think for example `vi -b` will show binary characters that might otherwise be invisible., | [
"docker",
"airflow",
"postgres"
] | true | [
"kind:bug",
"area:core",
"needs-triage"
] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-03-10T00:39:36Z | apache/airflow |
gh-disc-apache-airflow-63191 | github_discussions | https://github.com/apache/airflow/discussions/63191 | orchestration | Using Params with .override()? | Working with Airflow version 3.1+ (3.1.7 currently).
I've come across this task parametrization feature in Airflow to reuse decorated tasks: https://airflow.apache.org/docs/apache-airflow/stable/tutorial/taskflow.html#task-parameterization , e.g. to instantiate tasks multiple times with different task_ids. Even though... | This reads promising: https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/cluster-policies.html
and there was a fix for that just the other day : https://github.com/apache/airflow/pull/63049 (will be in 3.1.9) | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-03-09T14:59:42Z | apache/airflow |
gh-disc-apache-airflow-63014 | github_discussions | https://github.com/apache/airflow/discussions/63014 | orchestration | psycopg2.OperationalError: SSL error: decryption failed or bad record mac | Hoping someone can point us in the right direction. We are seeing this error sporadically. for example last night it happened twice in an hour (about 830 and 930) and then not again until 5am. The scheduler is crashing and restarting. Logs for the 30s of errors attached.
We are running on ECS Fargate. We have a serv... | we ultimately disabled ssl on the db and configured sqlalchemy with sslmode=disable and haven't seen this issue again. We also removed the rds proxy and are just using sqlalchemy pooling and that seems to keep the connections stable. | [
"airflow",
"postgres"
] | true | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-03-06T18:30:11Z | apache/airflow |
gh-disc-apache-airflow-62892 | github_discussions | https://github.com/apache/airflow/discussions/62892 | orchestration | Is there anyway to create additional pools via the helm chart? | Is there anyway to create additional pools via the helm chart `1.19.0` for Airflow version `3.1.7`?
The only setting I see is <https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#default-pool-task-slot-count> which is the default pool. | I did find an article using `AIRFLOW__CORE__POOLS`, but that doesn't seem to exist in v3.
<https://medium.com/@tfmv/task-groups-and-pools-in-apache-airflow-872ee02da3bd> | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-03-04T21:00:49Z | apache/airflow |
gh-disc-apache-airflow-62854 | github_discussions | https://github.com/apache/airflow/discussions/62854 | orchestration | Make Kafka AwaitMessageSensor be able to not commit offset | Hi everyone, I love using Airflow and I've been trying to work with Kafka `AwaitMessageSensor` (from `apache-airflow-providers-apache-kafka`) to trigger task when message is produced to particular topic. In my case I'd like to not commit offset when sensor polls messages, I'm going to commit offset when message is proc... | [
"kafka",
"airflow"
] | true | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-03-04T10:20:57Z | apache/airflow | |
gh-disc-apache-airflow-62844 | github_discussions | https://github.com/apache/airflow/discussions/62844 | orchestration | DAG not recognized. Airflow 3.1 with Docker. | Hi everyone, can someone please help me check this problem?
I used Airflow with Docker. I did proper mappings so within the container bash, airflow-scheduler and airflow-webserver can recognize the Python file within the dags folder. But it doesn't recognize the DAG itself and wouldn't show on the UI!
So it sees ... | No access to your private repo. There is https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#dag-discovery-safe-mode that you might need to enable if your Dag fole does not contain DAG or airflow , also there might .airflowignore. It's highly recommended that **all** your scripts are in Dag Bu... | [
"docker",
"airflow"
] | true | [] | airflow_knowledge | knowledge | 0 | 2 | open | 2026-03-04T04:54:39Z | apache/airflow |
gh-disc-apache-airflow-62827 | github_discussions | https://github.com/apache/airflow/discussions/62827 | orchestration | airflow git auth issue and apache-airflow-providers-fab==3.3.0 | Hi Team ,
Unable to login using git auth
below is the error
Error on OAuth authorize: Could not build url for endpoint 'CustomAuthOAuthView.oauth_authorized' with values ['provider']. Did you mean 'CustomAuthOAuthView.logout' instead?
2026-03-03T21:57:20.557090Z [error ] Error on OAuth authorize: Could not... | Did you check [Documentation](https://airflow.apache.org/docs/apache-airflow-providers-fab/stable/auth-manager/webserver-authentication.html) ? | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-03-03T22:11:48Z | apache/airflow |
gh-disc-apache-airflow-62663 | github_discussions | https://github.com/apache/airflow/discussions/62663 | orchestration | Cannot upgrade Airflow 3.1.0 to 3.1.7, session seems to be empty | I would like to upgrade my Airflow instances to the latest version of Airflow 3.1.7.
But when I build the new image, everything starts but the API fails with the following error:
```
[2026-03-01T09:48:38.180881Z] {_utils.py:59} ERROR - Exception when querying database (MessagePack data is malformed: trailing cha... | Ok, after digging a bit more it seems the session payload has changed between the two version.
After `TRUNCATE session;` the error vanished but the FAB GitHub Auth is failing now. | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | answered | 2026-03-01T10:02:39Z | apache/airflow |
gh-disc-apache-airflow-62605 | github_discussions | https://github.com/apache/airflow/discussions/62605 | orchestration | airflow-init is stuck | When I deployed Airflow (version 3.1.7) managed by MySQL in Docker, executing "docker-compose up airflow-init" would get stuck at the creation of the fab-related tables. The MySQL process reported: CREATE TABLE alembic_version_fab (
version_num VARCHAR(32) NOT NULL,
CONSTRAINT alembic_version_f
Curr... | I think you might have some long running operation that has not completed and is hanging - what exactly it is, hard to say - but you need to find the transaction the causes it and kill it.
There are a number of articles you can find that can guide you there https://stackoverflow.com/questions/13148630/how-do-i-find-... | [
"mysql",
"docker",
"airflow"
] | true | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-02-28T05:19:08Z | apache/airflow |
gh-disc-apache-airflow-62590 | github_discussions | https://github.com/apache/airflow/discussions/62590 | orchestration | DAG version id | I'm using git sync to manage DAGs. I see in the dag run details there is an ID for the dag version. How can I find what git commit that is linked to?
<img width="689" height="168" alt="Screenshot 2026-02-27 at 12 36 58 PM" src="https://github.com/user-attachments/assets/88e5357a-5958-4952-af9e-4b6b2117f5a4" />
| [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-02-27T20:37:53Z | apache/airflow | |
gh-disc-apache-airflow-62525 | github_discussions | https://github.com/apache/airflow/discussions/62525 | orchestration | How to update timestamp format of Airflow logs | Hi all,
I'm trying to figure out how to update the logs that Airflow, specifically the api-server, dag-processor, scheduler, and triggerer use. I have update the univcorn logs using the `--log-config` parameter, but for the actual Airflow components I haven't been able to. I have been able to use the `AIRFLOW__LOGGI... | In case it helps I have attached the 2 python files and these are how I am setting the environment variables:
* `AIRFLOW__LOGGING__LOGGING_CONFIG_CLASS=config.logging_config_class.LOGGING_CONFIG`
* `AIRFLOW__LOGGING__LOG_FORMATTER_CLASS=config.log_formatter_class.TimestampConfig`
[logging_config_class.py](https://... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-02-26T14:50:50Z | apache/airflow |
gh-disc-apache-airflow-62479 | github_discussions | https://github.com/apache/airflow/discussions/62479 | orchestration | Airflow 3.0 (Astro Runtime 12) "Invalid or unsafe next URL" error in GitHub Codespaces | I am running Airflow 3.0 via the Astro CLI in a GitHub Codespace. The containers appear to be running, but when I try to access the UI at port 8080, I receive the error: Invalid or unsafe next URL.[
<img width="1314" height="220" alt="Capture" src="https://github.com/user-attachments/assets/a03f4199-21aa-4fb6-9453-e76... | I guess you should ask this question in astro-cli repo. | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 2 | answered | 2026-02-25T19:06:25Z | apache/airflow |
gh-disc-apache-airflow-62466 | github_discussions | https://github.com/apache/airflow/discussions/62466 | orchestration | Airflow 3.1.7 - UI very slow | Hello, since upgrade to Airflow 3 we are experiencing pretty laggy UI. Sometimes we need to refresh the UI a few times so the grid loads.
We run on python 3.12.12, On-prem Kubernetes deployment, 3 replicas of the webserver, postgres 16.6 in HA.
What should we look after in order to improve the responsiveness? | [
"airflow",
"kubernetes",
"postgres"
] | true | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-02-25T11:29:12Z | apache/airflow | |
gh-disc-apache-airflow-62465 | github_discussions | https://github.com/apache/airflow/discussions/62465 | orchestration | Airflow 3.0.6 - apache-airflow-providers-celery 3.12.2 - Process 'ForkPoolWorker-' exited with 'signal 9 (SIGKILL) | Hi All,
We are running Airflow version 3.0.6 in MWAA and have a task failing without any logs showing in Airflow.
The task log shows:
An error occurred (ResourceNotFoundException) when calling the GetLogEvents operation: The specified log stream does not exist.
However, when investigating the worker logs we ... | I'm having this too and struggling to find the proper fix. I've tried reducing my **celery.worker_autoscale** from "20,0" -> "10,0"...I tried adding **core.execute_tasks_new_python_interpreter** = true. Supposedly that tells celery to start new python interpreters instead of using **os.fork()** which seems to be the ac... | [
"redshift",
"airflow"
] | true | [] | airflow_knowledge | knowledge | 0 | 4 | open | 2026-02-25T11:13:08Z | apache/airflow |
gh-disc-apache-airflow-62450 | github_discussions | https://github.com/apache/airflow/discussions/62450 | orchestration | [Plugin] airflow-postgres-csv — Airflow operators for bulk PostgreSQL ↔ CSV transfers | Hi everyone 👋
I built a small pip-installable package that provides two operators for bulk PostgreSQL ↔ CSV data transfers using PostgreSQL's native `COPY` command:
- **`PostgresToCsvOperator`** — run a SQL query and stream results to a CSV file
- **`CsvToPostgresOperator`** — load a CSV file into a PostgreSQL ... | You can submit it to https://airflow.apache.org/ecosystem/ | [
"airflow",
"postgres"
] | true | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-02-25T04:36:05Z | apache/airflow |
gh-disc-apache-airflow-62574 | github_discussions | https://github.com/apache/airflow/discussions/62574 | orchestration | Hooks don't finish successfully in a GitHub codespace | ### Apache Airflow version
main (development)
### If "Other Airflow 3 version" selected, which one?
_No response_
### What happened?
I've fixed a bug but I'm unable to commit the changes. Here are the problem hooks:
```bash
Update dependencies for providers................................................Failed
- h... | (I want to note that this might relate to https://github.com/apache/airflow/issues/62405.) | [
"airflow"
] | false | [
"kind:bug",
"area:CI",
"area:core",
"needs-triage"
] | airflow_knowledge | knowledge | 0 | 2 | open | 2026-02-24T13:18:17Z | apache/airflow |
gh-disc-apache-airflow-62403 | github_discussions | https://github.com/apache/airflow/discussions/62403 | orchestration | Using DatabricksSubmitRunOperator inside @task — is pool applied correctly |
Hi everyone,
I’m using Airflow 3.x with the `@task` decorator (TaskFlow API), and I’m trying to better understand how Airflow handles execution and pools when an operator is called inside a Python task.
Right now, I’m using this pattern:
```python
@task(pool="databricks_superset_med", retries=3)
def run_da... | You are not supposed to run operator in `@task` decorated methods - this is a bad pattern than should not be used. You can call hooks inside the tasks - but calling operators in `@task` decorated methods is just a calling "execute" method of the operator, without applying any semantics of operator. I belive in modern a... | [
"superset",
"airflow",
"spark"
] | true | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-02-24T10:48:42Z | apache/airflow |
gh-disc-apache-airflow-62386 | github_discussions | https://github.com/apache/airflow/discussions/62386 | orchestration | Airflow gitSync with Submodules | I am part of a platform team and the users of the platform have dags in their own repo and org. I have planned to use a single repo with submodule added as part of the onboarding process. I have deployed airflow in Kubernetes using the latest helm chart `1.19.0` and below is my gitsync config
dags:
persis... | Yes. It is expected behaviour of submodules. There needs to be somoene who decides that the current "main" versions of the submodules are bound together in the main repo. | [
"airflow",
"kubernetes"
] | true | [] | airflow_knowledge | knowledge | 0 | 2 | answered | 2026-02-23T22:00:40Z | apache/airflow |
gh-disc-apache-airflow-62342 | github_discussions | https://github.com/apache/airflow/discussions/62342 | orchestration | Deferred TI's next_method and next_kwargs not cleared on retries in airflow 3.x | I have been exploring the new Task SDK and Deferrable Operator lifecycle in Airflow 3.0.6, I’ve observed a behavior regarding task state during retries that I wanted to humbly raise for discussion. It appears that next_method and next_kwargs are persisting across attempts, which seems to differ from the established beh... | created issue for this https://github.com/apache/airflow/issues/62845 | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-02-23T06:22:56Z | apache/airflow |
gh-disc-apache-airflow-62120 | github_discussions | https://github.com/apache/airflow/discussions/62120 | orchestration | Facing Inter-Task Delay while executing nested pipeline tasks | I am experiencing an unexpected inter-task delay while executing a pipeline in **Airflow 3.1.7.**
airflow==3.1.7
apache-airflow-providers-celery==3.13.0
**Pipeline Structure**
- Master Pipeline (DAG)
- Contains a Nested Pipeline
- The nested pipeline contains multiple pipeline tasks
... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-02-18T12:01:26Z | apache/airflow | |
gh-disc-apache-airflow-62117 | github_discussions | https://github.com/apache/airflow/discussions/62117 | orchestration | Scaling Airflow 3 on EKS — API server OOMs, PgBouncer saturation, and health check flakiness at 8K concurrent tasks | # Airflow 3 on EKS is way hungrier than Airflow 2 — hitting OOMs, PgBouncer bottlenecks, and flaky health checks at scale
We're migrating from Airflow 2.10.0 to 3.1.7 (self-managed EKS, not Astronomer/MWAA) and running into scaling issues during stress testing that we never had in Airflow 2. Our platform is fairly l... | * Some API server memory issues are being solved in 3.1.8 and some in 3.2.0 - you might want take a look if those will solve your issues (search for memory in recent PRs)
* There are no DB connections from workers - actually PgBouncer is no longer recommended/needed because there are far less number of connections cre... | [
"s3",
"airflow",
"kubernetes",
"postgres"
] | true | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-02-18T10:34:13Z | apache/airflow |
gh-disc-apache-airflow-62072 | github_discussions | https://github.com/apache/airflow/discussions/62072 | orchestration | Multiple secret backend sources | Is it possible to use more than one secret backend at a time? Right now we are using Hashicorp Vault, which only admins can edit, for both connection and variable secrets. We want to keep that, but also to setup second Vault instance with additional access for developers. I.e. like this
```
[secrets]
backend = airfl... | You can roll your own Secrets Backend that will use composition pattern and can combine any number of secret backend https://airflow.apache.org/docs/apache-airflow/stable/security/secrets/secrets-backend/index.html#roll-your-own-secrets-backend
The choice we made that this is not a declarative configuration but imp... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 1 | open | 2026-02-17T12:27:24Z | apache/airflow |
gh-disc-apache-airflow-62065 | github_discussions | https://github.com/apache/airflow/discussions/62065 | orchestration | Airflow[v2.11.0] Celery worker CPU starvation | We have Airflow v2.11.0 setup on on-prem linux(RHEL).
VM-1: Webserver, Scheduler, RabbitMQ, PostgreSQL
VM-2,3: Celary workers. (16vCPUs each)
Note: Previously we were using v2.2.5 and setup new separate cluster with above configuration.
On new setup(v2.11.0) we have been seeing CPU starvation on worker nodes.... | You likely have some problem with the structure of your Dags (many parallel tasks) and scheduling after task execution which takes long time - you can disable "schedule after task execution" configuration - which was intended to be an optimization but it suffers from similar kind of issues in certain cases. This featur... | [
"airflow",
"postgres"
] | true | [] | airflow_knowledge | knowledge | 0 | 2 | open | 2026-02-17T07:59:46Z | apache/airflow |
gh-disc-apache-airflow-62036 | github_discussions | https://github.com/apache/airflow/discussions/62036 | orchestration | Snowflake PAT Token | Does airflow snowflake connector support PAT token authentication. If so ,may i get more information on this ?
https://github.com/apache/airflow/blob/main/providers/snowflake/src/airflow/providers/snowflake/hooks/snowflake.py | [
"snowflake",
"airflow"
] | true | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-02-16T17:22:22Z | apache/airflow | |
gh-disc-apache-airflow-62057 | github_discussions | https://github.com/apache/airflow/discussions/62057 | orchestration | [Airflow 3.1.7] Task execution fails with "Invalid auth token" using LocalExecutor and Task SDK | ### Apache Airflow version
3.1.7
### If "Other Airflow 3 version" selected, which one?
_No response_
### What happened?
### Apache Airflow version
3.1.7
### If "Other Airflow 2 version" selected, which one?
_No response_
### What happened?
Task execution consistently fails with `Invalid auth token: Signature ... | Thanks for opening your first issue here! Be sure to follow the issue template! If you are willing to raise PR to address this issue please do so, no need to wait for approval.
| [
"docker",
"airflow",
"postgres"
] | true | [
"kind:bug",
"area:API",
"priority:critical",
"area:auth",
"area:core"
] | airflow_knowledge | knowledge | 0 | 5 | open | 2026-02-16T15:22:49Z | apache/airflow |
gh-disc-apache-airflow-62009 | github_discussions | https://github.com/apache/airflow/discussions/62009 | orchestration | WASB remote logging - upload error - error logging and retry mechanism | Hi,
I have a concern regarding remote logging.
## The Setup:
In our case, we are using Azure Blob Storage (WASB) for the remote logging destination.
Some details regarding our setup:
- OS:
- Azure SKU OS: Ubuntu 22.04 / Kubernetes 1.32.4 / Airflow Container: Debian 12 (Bookworm)
- Airflow Version 3.1.... | [
"airflow",
"kubernetes"
] | true | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-02-16T11:10:13Z | apache/airflow | |
gh-disc-apache-airflow-61940 | github_discussions | https://github.com/apache/airflow/discussions/61940 | orchestration | Timezone-aware schedule with @asset decorator | I'm trying to use this example from https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/assets.html#dependency-between-asset-task-and-classic-operators to define an asset together with a BashOperator that creates it:
```
@asset(schedule=None)
@task.bash(retries=3)
def example_asset():
... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 0 | open | 2026-02-15T08:48:51Z | apache/airflow | |
gh-disc-apache-airflow-61901 | github_discussions | https://github.com/apache/airflow/discussions/61901 | orchestration | [Question] Bundle-specific Python Path Isolation in Airflow 3.x Git Bundles | ### [Question] Bundle-specific Python Path Isolation in Airflow 3.x Git Bundles
**Environment:**
- Airflow Version: 3.1.7
- Deployment: Git Bundles
- Setup: Multi-tenant environment where each Git Repository (Bundle) belongs to a specific team.
---
**Context (Path Architecture):**
Our infrastructure deploy... | Update: I found the solution!
The issue was caused by the subdir parameter in my Git Bundle configuration.
The Root Cause:
In my initial configuration, I had the subdir argument set to "dags":
```json
{
"name": "TESTBED2",
"classpath": "airflow.providers.git.bundles.git.GitDagBundle",
"kwargs": {
"... | [
"airflow"
] | false | [] | airflow_knowledge | knowledge | 0 | 2 | answered | 2026-02-14T09:13:28Z | apache/airflow |
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