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There are several reasons why an Airflow task might not progress from a running state when using multi-threading:

1. Deadlock: If two or more threads are waiting for each other to release a lock or a shared resource, then they can enter into a deadlock situation where they stop progressing. This can cause the Airflow task to remain in a running state indefinitely.

2. Race conditions: If multiple threads try to access or modify the same shared resource simultaneously, then a race condition can occur where the outcome of the task is unpredictable. This can lead to the Airflow task being stuck in a running state.

3. Oversubscription: If the number of threads created for the Airflow task is too high, then the system may become oversubscribed with threads waiting for resources. This can reduce overall performance and cause the Airflow task to take longer to complete or remain in a running state.

4. Resource contention: If the Airflow task requires a shared resource that is being used by another process or thread, then it may be unable to proceed until that resource becomes available. This can cause the Airflow task to remain in a running state until the resource is freed up.

To solve these issues, it is important to properly design and test multi-threaded code to ensure that these issues do not occur. This may involve tuning the number of threads used, identifying and resolving deadlock and race conditions, and minimizing resource contention.