# netdata python.d.plugin configuration for beanstalk
#
# This file is in YaML format. Generally the format is:
#
# name: value
#
# There are 2 sections:
#  - global variables
#  - one or more JOBS
#
# JOBS allow you to collect values from multiple sources.
# Each source will have its own set of charts.
#
# JOB parameters have to be indented (using spaces only, example below).

# ----------------------------------------------------------------------
# Global Variables
# These variables set the defaults for all JOBs, however each JOB
# may define its own, overriding the defaults.

# update_every sets the default data collection frequency.
# If unset, the python.d.plugin default is used.
# update_every: 1

# priority controls the order of charts at the netdata dashboard.
# Lower numbers move the charts towards the top of the page.
# If unset, the default for python.d.plugin is used.
# priority: 60000

# penalty indicates whether to apply penalty to update_every in case of failures.
# Penalty will increase every 5 failed updates in a row. Maximum penalty is 10 minutes.
# penalty: yes

# autodetection_retry sets the job re-check interval in seconds.
# The job is not deleted if check fails.
# Attempts to start the job are made once every autodetection_retry.
# This feature is disabled by default.
# autodetection_retry: 0

# chart_cleanup sets the default chart cleanup interval in iterations.
# A chart is marked as obsolete if it has not been updated
# 'chart_cleanup' iterations in a row.
# When a plugin sends the obsolete flag, the charts are not deleted
# from netdata immediately.
# They will be hidden immediately (not offered to dashboard viewer,
# streamed upstream and archived to external databases) and deleted one hour
# later (configurable from netdata.conf).
# chart_cleanup: 10

# ----------------------------------------------------------------------
# JOBS (data collection sources)
#
# The default JOBS share the same *name*. JOBS with the same name
# are mutually exclusive. Only one of them will be allowed running at
# any time. This allows autodetection to try several alternatives and
# pick the one that works.
#
# Any number of jobs is supported.
#
# All python.d.plugin JOBS (for all its modules) support a set of
# predefined parameters. These are:
#
# job_name:
#     name: myname            # the JOB's name as it will appear at the
#                             # dashboard (by default is the job_name)
#                             # JOBs sharing a name are mutually exclusive
#     update_every: 1         # the JOB's data collection frequency
#     priority: 60000         # the JOB's order on the dashboard
#     penalty: yes            # the JOB's penalty
#     autodetection_retry: 0  # the JOB's re-check interval in seconds
#     chart_cleanup: 10       # the JOB's chart cleanup interval in iterations
#
# Additionally to the above, beanstalk also supports the following:
#
#     host: 'host'       # Server ip address or hostname. Default: 127.0.0.1
#     port: port         # Beanstalkd port. Default:
#
# ----------------------------------------------------------------------