chandakanant commented on issue #57961:
URL: https://github.com/apache/airflow/issues/57961#issuecomment-5678688785

   Hi @arkadiuszbach & @pierrejeambrun, is this issue solved by upgrading 
Airflow to 3.2.0? I am also facing the above issue.
   
   I have 2 Airflow environments, i.e., staging and production. Staging Airflow 
is working fine, but in production I am getting the above error when running 
multiple DAGs with multiple tasks. Both have the same configurations.
   
   config:
     api: 
       base_url: "${var.environment == "production" ? 
"https://airflow.${var.region}a.com"; : 
"https://airflow.${var.region}a.${var.environment}.com"}";
       worker_timeout: 600
     api_auth:
       jwt_secret: "airflow-jwt-secret"
     webserver:
       page_size: 25
       base_url: "${var.environment == "production" ? 
"https://airflow.${var.region}a.com"; : 
"https://airflow.${var.region}a.${var.environment}.com"}";
     core:
       dags_folder: /opt/airflow/dags/repo/dags_us
       max_active_tasks_per_dag: 50
       max_active_runs_per_dag: 16
       dagbag_import_timeout: 600
       non_pooled_task_slot_count: 1000
       dag_concurrency: 10000
       parallelism: 500
       default_pool_task_slot_count: 1000
       default_timezone: "utc"
     dag_processor:
       min_file_process_interval: 120
     logging:
       fab_logging_level: "ERROR"
       logging_level: "INFO"
     database:
       sql_alchemy_max_overflow: 50
       sql_alchemy_pool_enabled: true
       sql_alchemy_pool_pre_ping: true
       sql_alchemy_pool_recycle: 600
       sql_alchemy_pool_size: 300
     scheduler:
       dag_file_processor_timeout : 1000
       enable_health_check: true
       job_heartbeat_sec: 300
       max_dagruns_per_loop_to_schedule: 175
       max_dagruns_to_create_per_loop: 175
       max_tis_per_query: 300
       scheduler_health_check_threshold: 120
       scheduler_zombie_task_threshold: 300
     kubernetes_executor: 
       worker_pods_creation_batch_size : 1000
       delete_worker_pods: true
       delete_worker_pods_on_failure: false


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