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ff49321056
This helps with avoiding memory leaks.
46 lines
1.5 KiB
Plaintext
46 lines
1.5 KiB
Plaintext
[supervisord]
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nodaemon=false
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logfile=/opt/redash/logs/supervisord.log
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pidfile=/opt/redash/supervisord/supervisord.pid
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directory=/opt/redash/current
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[inet_http_server]
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port = 127.0.0.1:9001
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[rpcinterface:supervisor]
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supervisor.rpcinterface_factory = supervisor.rpcinterface:make_main_rpcinterface
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[program:redash_server]
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command=/opt/redash/current/bin/run gunicorn -b 127.0.0.1:5000 --name redash -w 4 --max-requests 1000 redash.wsgi:app
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process_name=redash_server
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numprocs=1
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priority=999
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autostart=true
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autorestart=true
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stdout_logfile=/opt/redash/logs/api.log
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stderr_logfile=/opt/redash/logs/api_error.log
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# There are two queue types here: one for ad-hoc queries, and one for the refresh of scheduled queries
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# (note that "scheduled_queries" appears only in the queue list of "redash_celery_scheduled").
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# The default concurrency level for each is 2 (-c2), you can increase based on your machine's resources.
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[program:redash_celery]
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command=/opt/redash/current/bin/run celery worker --app=redash.worker --beat -c2 -Qqueries,celery --maxtasksperchild=10 -Ofair
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process_name=redash_celery
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numprocs=1
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priority=999
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autostart=true
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autorestart=true
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stdout_logfile=/opt/redash/logs/celery.log
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stderr_logfile=/opt/redash/logs/celery_error.log
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[program:redash_celery_scheduled]
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command=/opt/redash/current/bin/run celery worker --app=redash.worker -c2 -Qscheduled_queries --maxtasksperchild=10 -Ofair
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process_name=redash_celery_scheduled
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numprocs=1
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priority=999
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autostart=true
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autorestart=true
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stdout_logfile=/opt/redash/logs/celery.log
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stderr_logfile=/opt/redash/logs/celery_error.log
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