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What configuration parameters in Airflow configuration files should I adjust to prevent worker memory exhaustion when running memory-intensive pandas transformations inside tasks?
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What configuration parameters in Airflow configuration files should I adjust to prevent worker memory exhaustion when running memory-intensive pandas transformations inside tasks?
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Apache Airflow configuration reference parallelism max_active_tasks_per_dag max_active_runs_per_dag worker_concurrency worker memory Celery KubernetesExecutor official docsGoogle ↗
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Apache Airflow configuration reference parallelism max_active_tasks_per_dag max_active_runs_per_dag worker_concurrency worker memory Celery KubernetesExecutor official docs Google ↗
- Configuration Reference · airflow.apache.org
- Configuration Reference · airflow.apache.org
- Customizing Workers · airflow.apache.org
- Tasks · airflow.apache.org
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