Difference between revisions of "Airflow --help"
Jump to navigation
Jump to search
Line 2: | Line 2: | ||
[[airflow]] --help | [[airflow]] --help | ||
− | |||
− | |||
− | positional arguments: | + | usage: airflow [-h] GROUP_OR_COMMAND ... |
+ | |||
+ | positional arguments: | ||
GROUP_OR_COMMAND | GROUP_OR_COMMAND | ||
− | + | ||
Groups: | Groups: | ||
celery Celery components | celery Celery components | ||
Line 22: | Line 22: | ||
users Manage users | users Manage users | ||
variables Manage variables | variables Manage variables | ||
− | + | <pre> | |
Commands: | Commands: | ||
cheat-sheet Display cheat sheet | cheat-sheet Display cheat sheet |
Revision as of 19:29, 10 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 sync-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
Advertising: