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DAG Bundle/User Impersonation Causes Permission Issues in Resource Preparation
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上游 issue 正文
### Apache Airflow version
3.1.5
### If "Other Airflow 3 version" selected, which one?
_No response_
### What happened?
When running Git-based DAG bundles in Airflow with user impersonation (`run_as_user`), tasks may fail due to permission errors on resources like lock files and tracking directories. This occurs because bundles are initialized by the main airflow user before impersonation, making it necessary for the impersonated user to access these resources. Attempts to mitigate this in PRs [#60270](https://github.com/apache/airflow/pull/60270), [#60278](https://github.com/apache/airflow/pull/60278), and [#60280](https://github.com/apache/airflow/pull/60280) involve configuration changes and runtime warnings, but the underlying architectural problem remains unaddressed.
### What you think should happen instead?
Resource preparation for bundles should be performed post-impersonation—or in a context where only the appropriate user has write access. Impersonated users should not need elevated permissions or write access to resources initialized by the airflow service user. The fix should be holistic, ideally centralizing resource management with privilege separation and avoiding relaxed file permissions or risky group sharing.
### How to reproduce
1. Set up an Airflow deployment using Git-based DAG bundles and enable user impersonation with the `run_as_user` config.
2. Configure a DAG that fetches and interacts with resources stored in a shared repository (e.g., involving lock files, tracking directories).
3. Trigger the DAG with a task that switches user context.
4. Observe that the task fails with permission errors accessing bundle-related files or directories.
5. Attempt to mitigate by setting group-writable permissions or updating git's `safe.directory`; note that this works but relaxes security.
### Operating System
Linux
### Versions of Apache Airflow Providers
_No response_
### Deployment
Virtualenv installation
### Deployment details
_No response_
### Anyt…
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