Difference between revisions of "Airflow --help"
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[[airflow]] --help | [[airflow]] --help | ||
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− | positional arguments: | + | usage: airflow [-h] GROUP_OR_COMMAND ... |
+ | |||
+ | positional arguments: | ||
GROUP_OR_COMMAND | GROUP_OR_COMMAND | ||
− | + | ||
Groups: | Groups: | ||
− | celery Celery components | + | [[airflow celery|celery]] Celery components |
− | config View configuration | + | [[airflow config]] View configuration |
− | connections Manage connections | + | [[airflow connections|connections]] Manage connections |
− | dags Manage DAGs | + | [[airflow dags|dags]] Manage DAGs |
− | db Database operations | + | [[airflow db|db]] Database operations |
− | jobs Manage jobs | + | [[airflow jobs|jobs]] Manage jobs |
− | kubernetes Tools to help run the KubernetesExecutor | + | [[airflow kubernetes|kubernetes]] Tools to help run the KubernetesExecutor |
− | pools Manage pools | + | [[airflow pools|pools]] Manage pools |
− | providers Display providers | + | [[airflow providers|providers]] Display providers |
− | roles Manage roles | + | [[airflow roles|roles]] Manage roles |
− | tasks Manage tasks | + | [[airflow tasks|tasks]] Manage tasks |
− | users Manage users | + | [[airflow users|users]] Manage users |
− | variables Manage variables | + | [[airflow variables|variables]] Manage variables |
− | + | Commands: | |
− | + | [[airflow cheat-sheet|cheat-sheet]] Display cheat sheet | |
− | + | [[airflow dag-processor|dag-processor]] Start a standalone Dag Processor instance | |
− | + | [[airflow info|info]] Show information about current Airflow and environment | |
− | + | [[airflow kerberos|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|triggerer]] 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 | ||
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== See also == | == See also == | ||
+ | * {{airflow cmd}} | ||
* {{airflow}} | * {{airflow}} | ||
[[Category:Airflow]] | [[Category:Airflow]] |
Latest revision as of 10:49, 20 December 2022
airflow --help
usage: airflow [-h] GROUP_OR_COMMAND ... positional arguments: GROUP_OR_COMMAND Groups: celery Celery components airflow 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[edit]
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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