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Location: kallithea/celeryconfig.py - annotation
7010af6efde5
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Reimplemented searching for speed on large files and added paging for search results
Updated setup requirements
Updated setup requirements
3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b a3d9d24acbec 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b 3fc3ce53659b | # List of modules to import when celery starts.
import sys
import os
sys.path.append(os.getcwd())
CELERY_IMPORTS = ("pylons_app.lib.celerylib.tasks", )
## Result store settings.
CELERY_RESULT_BACKEND = "database"
CELERY_RESULT_DBURI = "sqlite:///hg_app.db"
BROKER_CONNECTION_MAX_RETRIES = 30
## Broker settings.
BROKER_HOST = "localhost"
BROKER_PORT = 5672
BROKER_VHOST = "rabbitmqhost"
BROKER_USER = "rabbitmq"
BROKER_PASSWORD = "qweqwe"
## Worker settings
## If you're doing mostly I/O you can have more processes,
## but if mostly spending CPU, try to keep it close to the
## number of CPUs on your machine. If not set, the number of CPUs/cores
## available will be used.
CELERYD_CONCURRENCY = 2
# CELERYD_LOG_FILE = "celeryd.log"
CELERYD_LOG_LEVEL = "DEBUG"
CELERYD_MAX_TASKS_PER_CHILD = 1
#CELERY_ALWAYS_EAGER = True
#rabbitmqctl add_user rabbitmq qweqwe
#rabbitmqctl add_vhost rabbitmqhost
#rabbitmqctl set_permissions -p rabbitmqhost rabbitmq ".*" ".*" ".*"
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