Airflow --help

airflow --help

usage: airflow [-h] GROUP_OR_COMMAND ...

positional arguments:
 GROUP_OR_COMMAND

   Groups:
     celery         Celery components
     config         View configuration
     connections    Manage connections
     dags           Manage DAGs
     db             Database operations
     jobs           Manage jobs
     kubernetes     Tools to help run the KubernetesExecutor
     pools          Manage pools
     providers      Display providers
     roles          Manage roles
     tasks          Manage tasks
     users          Manage users
     variables      Manage variables

    Commands:
      cheat-sheet    Display cheat sheet
      dag-processor  Start a standalone Dag Processor instance
      info           Show information about current Airflow and environment
      kerberos       Start a kerberos ticket renewer
      [[airflow plugins|plugins]]        Dump information about loaded plugins
      [[airflow rotate-fernet-key|rotate-fernet-key]]
                     Rotate encrypted connection credentials and variables
      [[airflow scheduler|scheduler]]      Start a scheduler instance
      [[airflow standalone|standalone]]     Run an all-in-one copy of Airflow
      [[airflow sync-perm|sunc-perm]]      Update permissions for existing roles and optionally DAGs
      [[airflow triggerer|trigger]]      Start a triggerer instance
      [[airflow version|version]]        Show the version
      [[airflow webserver|webserver]]      Start a Airflow webserver instance

options:
  -h, --help         show this help message and exit

See also

• airflow [ info | celery | config | db upgrad | config list | db init | scheduler | webserver | users | dags | kubernetes | pools | roles | tasks | variables | cheat-sheet | kereberos | plugins | rotate-fernet-key | sync-perm ] airflow --help
• Apache Airflow, Installation, configuration airflow.cfg, monitoring, Amazon Managed Workflows for Apache Airflow (MWAA), airflow, Airflow Scheduler, providers, Workflows, Airflow executors, Airflow versions, Datadog integration