Difference between revisions of "Airflow --help"
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[[airflow standalone|standalone]] Run an all-in-one copy of Airflow | [[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 sync-perm|sunc-perm]] Update permissions for existing roles and optionally DAGs | ||
− | [[airflow triggerer| | + | [[airflow triggerer|triggerer]] Start a triggerer instance |
[[airflow version|version]] Show the version | [[airflow version|version]] Show the version | ||
[[airflow webserver|webserver]] Start a Airflow webserver instance | [[airflow webserver|webserver]] Start a Airflow webserver instance |
Revision as of 15:35, 30 November 2022
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 plugins Dump information about loaded plugins rotate-fernet-key Rotate encrypted connection credentials and variables scheduler Start a scheduler instance standalone Run an all-in-one copy of Airflow sunc-perm Update permissions for existing roles and optionally DAGs triggerer Start a triggerer instance version Show the version 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
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