Difference between revisions of "Airflow webserver"
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[2022-11-10 19:43:22 +0000] [4057] [INFO] Booting worker with pid: 4057 | [2022-11-10 19:43:22 +0000] [4057] [INFO] Booting worker with pid: 4057 | ||
[2022-11-10 19:43:22 +0000] [4058] [INFO] Booting worker with pid: 4058 | [2022-11-10 19:43:22 +0000] [4058] [INFO] Booting worker with pid: 4058 | ||
− | [2022-11-10 19:43:23,123] {manager.py:824} WARNING - No user yet created, use flask fab command to do it. | + | [2022-11-10 19:43:23,123] {manager.py:824} WARNING - No user yet created, use [[flask fab]] command to do it. |
Revision as of 09:45, 18 November 2022
airflow webserver Please confirm database initialize (or wait 4 seconds to skip it). Are you sure? [y/N] ____________ _____________ ____ |__( )_________ __/__ /________ __ ____ /| |_ /__ ___/_ /_ __ /_ __ \_ | /| / / ___ ___ | / _ / _ __/ _ / / /_/ /_ |/ |/ / _/_/ |_/_/ /_/ /_/ /_/ \____/____/|__/ Running the Gunicorn Server with: Workers: 4 sync Host: 0.0.0.0:8080 Timeout: 120 Logfiles: - - Access Logformat: ================================================================= [2022-11-10 19:43:22 +0000] [4054] [INFO] Starting gunicorn 20.1.0 [2022-11-10 19:43:22 +0000] [4054] [INFO] Listening at: http://0.0.0.0:8080 (4054) [2022-11-10 19:43:22 +0000] [4054] [INFO] Using worker: sync [2022-11-10 19:43:22 +0000] [4055] [INFO] Booting worker with pid: 4055 [2022-11-10 19:43:22 +0000] [4056] [INFO] Booting worker with pid: 4056 [2022-11-10 19:43:22 +0000] [4057] [INFO] Booting worker with pid: 4057 [2022-11-10 19:43:22 +0000] [4058] [INFO] Booting worker with pid: 4058 [2022-11-10 19:43:23,123] {manager.py:824} WARNING - No user yet created, use flask fab command to do it.
$AIRFLOW_HOME/webserver_config.py AUTH_ROLE_PUBLIC = 'Admin'
Related
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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