blake_hughes
07/20/2022, 9:11 PMblake_hughes
07/20/2022, 9:13 PM$ docker run -v $(pwd):/project -w /project meltano/meltano --environment=prod invoke airflow scheduler
2022-07-20T210044.731757Z [info ] Environment ‘prod’ is active
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* Tip: There are .env or .flaskenv files present. Do “pip install python-dotenv” to use them.
* Serving Flask app “airflow.utils.serve_logs” (lazy loading)
* Environment: production
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
* Debug mode: off
[2022-07-20 210050,430] {scheduler_job.py:1266} INFO - Starting the scheduler
[2022-07-20 210050,431] {scheduler_job.py:1271} INFO - Processing each file at most -1 times
[2022-07-20 210050,435] {dag_processing.py:254} INFO - Launched DagFileProcessorManager with pid: 23
[2022-07-20 210050,437] {_internal.py:113} INFO - * Running on http://0.0.0.0:8793/ (Press CTRL+C to quit)
[2022-07-20 210050,438] {scheduler_job.py:1835} INFO - Resetting orphaned tasks for active dag runs
[2022-07-20 210050,455] {settings.py:51} INFO - Configured default timezone Timezone(‘UTC’)
[2022-07-20 210050,464] {dag_processing.py:529} WARNING - Because we cannot use more than 1 thread (parsing_processes = 2 ) when using sqlite. So we set parallelism to 1.
[2022-07-20 210550,478] {scheduler_job.py:1835} INFO - Resetting orphaned tasks for active dag runs
[2022-07-20 211050,508] {scheduler_job.py:1835} INFO - Resetting orphaned tasks for active dag runsjean_sahlberg
07/20/2022, 11:11 PMblake_hughes
07/21/2022, 1:52 PMjean_sahlberg
07/21/2022, 5:30 PMdocker run -v $(pwd):/project -w /project -p 8080:8080 meltano/meltano --environment=prod invoke airflow webserverblake_hughes
07/21/2022, 5:37 PMjean_sahlberg
07/21/2022, 6:10 PMjean_sahlberg
07/21/2022, 6:11 PMjean_sahlberg
07/21/2022, 6:11 PMmeltano add files airflowblake_hughes
07/21/2022, 6:36 PMaaron_phethean
07/21/2022, 6:55 PMblake_hughes
07/21/2022, 8:53 PM