BigData / Apache Airflow Interview Questions

How does Airflow handle task concurrency and parallelism?

Airflow provides several levels of concurrency control:

parallelism (airflow.cfg) — global maximum number of tasks running across all DAGs.
dag_concurrency / max_active_tasks (per DAG) — max tasks running within a single DAG at once.
max_active_runs (per DAG) — max simultaneous DAG Runs for a single DAG.
task_concurrency / max_active_tis_per_dag (per task) — max instances of a specific task running at once across all DAG Runs.
Pools — cross-DAG slot limits for shared resources.

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Which setting limits how many simultaneous DAG Runs can exist for a single DAG? parallelism

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max_active_runs

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max_active_tasks

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pool_slots

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