Scheduler#
Scheduling jobs#
Salt’s scheduling system allows incremental executions on minions or the master. The schedule system exposes the execution of any execution function on minions, or any runner on the master.
Scheduling can be enabled by multiple methods:
schedule
option in either the master or minion configuration files. These require the master or minion application to be restarted for the schedule to be implemented.Minion pillar data. Schedule is implemented by refreshing the minion’s pillar data, for example by using
saltutil.refresh_pillar
.The schedule state or schedule module. A scheduled run has no output on the minion unless the configuration is set to info level or higher. Refer to
minion-logging-settings
.
States are executed on the minion. You can pass positional arguments and provide a YAML dictionary of named arguments.
Note
The scheduler executes different functions on the master and minions. When running on the master, the functions reference runner functions. When running on the minion, the functions specify execution functions.
Declaring scheduled jobs#
A skeleton structure of a schedule declaration is:
# master or minion configuration
schedule:
<job1>:
function: <module.function>
<kwarg>: <value>
job_args:
- <arg1>
- <arg2>
kwargs:
<kwarg1>: <value1>
...
Defining time in schedules#
Time for jobs can be specified with valid elements or modifiers:
Time elements:
seconds
minutes
hours
days
Scheduling elements:
when
cron
once
Scheduling modifiers:
until
after
range
splay
The following keyword arguments can also be used if the python-dateutil
Python module
is installed.
# python-dateutil options
# date formats can be:
- 2017-04-21 23:46:00
- Thu Sep 25 10:30:00 EDT 2017
# repeat job until a specified time
until: 'Thu Sep 25 23:30:00 EDT 2017'
# do not run job until a specified time
after: '2017-09-25 23:30:00'
# run at a specific time
when: Thu May 02 03:45:30 UTC 2017
This schedules the command state.sls
to bind every 3600 seconds (one hour).
schedule:
Job1:
function: state.sls
seconds: 3600
args:
- bind
Specifying a random time#
The splay
kwarg can be used to set a random time within a defined window.
This schedules the command state.sls bind pillar='{"site": "example.com"}'
every 300 seconds (five minutes), splaying the time between 0 and 15 seconds:
schedule:
Job1:
function: state.sls
seconds: 300
args:
- bind
kwargs:
pillar:
site: example.com
splay: 15
This schedules the command state.sls bind pillar='{"site": "example.com"}'
every 300 seconds (five minutes), splaying the time between 10 and 15 seconds:
schedule:
job1:
function: state.sls
seconds: 300
args:
- bind
kwargs:
pillar:
site: example.com
splay:
start: 10
end: 15
Schedule by date and time#
The frequency of jobs can also be specified using date strings supported by the
Python dateutil
library.
This schedules the command state.sls bind
at 5:00 PM minion localtime:
schedule:
job1:
function: state.sls
args:
- bind
when: 5:00pm
This schedules the command state.sls bind
at 5:00 PM on Monday, Wednesday
and Friday, and at 3:00 PM on Tuesday and Thursday.
schedule:
job1:
function: state.sls
args:
- bind
when:
- Monday 5:00pm
- Tuesday 3:00pm
- Wednesday 5:00pm
- Thursday 3:00pm
- Friday 5:00pm
This schedules the command state.sls bind
every 3600 seconds (one hour)
between the hours of 8:00 AM and 5:00 PM. The range parameter must be a dictionary with
date strings using the dateutil
format.
schedule:
Job1:
function: state.sls
seconds: 3600
args:
- bind
range:
start: 8:00am
end: 5:00pm
Using the invert option for range, this schedules the command state.sls bind
every 3600 seconds (one hour) until the current time is between the hours of 8:00 AM and 5:00 PM.
The range
parameter must be a dictionary with date strings using the dateutil
format.
schedule:
Job1:
function: state.sls
seconds: 3600
args:
- bind
range:
invert: True
start: 8:00am
end: 5:00pm
This schedules the function pkg.install
to be executed once at the specified time.
The range
parameter must be a dictionary with date strings using the dateutil
format.
schedule:
job1:
function: pkg.install
kwargs:
pkgs: [{'bar': '>1.2.3'}]
refresh: true
once: '2016-01-07T14:30:00'
The schedule entry job1 will not be removed after the job completes, so use
schedule.delete
to manually remove it afterwards.
The default date format is ISO 8601
but can be overridden by also specifying the once_fmt
option, like this:
schedule:
job1:
function: test.ping
once: 2015-04-22T20:21:00
once_fmt: '%Y-%m-%dT%H:%M:%S'
Maximum parallel jobs running#
For jobs that are long-running and could possibly step on each other, or for jobs that could pile up
in case of infrastructure outage, the scheduler supports the option maxrunning
, the maximum
number of copies of the routine that can run. The default for maxrunning
is 1.
schedule:
Long_running_job:
function: big_file_transfer
jid_include: True
maxrunning: 1
Cron-like schedule#
The scheduler also supports scheduling jobs using a cron-like format:
# cron format
cron: '* * * * *'
| | | | |
| | | | +--- day of week (0 - 6) (Sunday = 0)
| | | +----- month (1 - 12)
| | +------- day of month (1 - 31)
| +--------- hour (0 - 23)
+----------- minute (0 - 59)
Note
The cron
format requires the python-coniter
module.
schedule:
Job1:
function: state.sls
cron: '*/15 * * * *'
args:
- bind
Job data return#
By default, data about jobs runs from the Salt scheduler is returned to the master.
Setting the return_job
parameter to False
will prevent the data from being
sent back to the Salt master.
schedule:
job1:
function: scheduled_job_function
return_job: False
Job metadata#
It can be useful to include specific data to differentiate a job from other jobs.
Using the metadata
parameter, special values can be associated with a scheduled job.
These values are not used in the execution of the job, but can be used to search for
specific jobs later if combined with the return_job
parameter.
The metadata
parameter must be specified as a dictionary, otherwise it will be ignored.
schedule:
job1:
function: scheduled_job_function
metadata:
foo: bar
Run on start#
By default, any job scheduled based on the startup time of the minion will run the scheduled job when the minion starts up.
Sometimes this is not the desired situation. Setting the run_on_start
parameter
to False
will cause the scheduler to skip this first run and wait until the next scheduled run:
schedule:
job1:
function: state.sls
seconds: 3600
run_on_start: False
args:
- bind
Until and after#
Using the until
argument, the Salt scheduler allows you to specify an end time for a scheduled job.
If this argument is specified, jobs will not run once the specified time has passed.
Time should be specified in a format supported by the Python dateutil
library.
schedule:
job1:
function: state.sls
seconds: 15
until: '12/31/2015 11:59pm'
args:
- bind
Using the after
argument, the Salt scheduler allows you to specify a start time for a scheduled job.
If after
is specified, jobs will not run until the specified time has passed.
Time should be specified in a format supported by the Python dateutil
library.
schedule:
job1:
function: state.sls
seconds: 15
after: '12/31/2015 11:59pm'
args:
- bind
Managing jobs and schedules#
Managing jobs#
Scheduled jobs can be managed with the following functions.
A new job can be added with the following command. This job will run every 15 minutes:
salt \* schedule.add job2 function='state.sls' job_args='["setup.cloud"]' job_ ,!kwargs='{"site": "example.com"}' cron='*/15 * * * *'
The new job will be defined as:
schedule:
job2:
args:
- setup.cloud
cron: '*/15 * * * *'
enabled: true
function: state.sls
jid_include: true
kwargs:
site: example.com
maxrunning: 1
name: job1
return_job: true
Note
Jobs are loaded into the Salt daemon memory space and not saved persistently to disk.
The schedule.save
function will save the file
to /etc/salt/minion.d/_schedule.conf
.
The job can then be modified by running:
salt \* schedule.modify job2 function='state.sls' job_args='["setup.cloud"]' job_ ,!kwargs='{"site": "example2.com"}' minutes=60
The new job will be defined as:
schedule:
job2:
args:
- setup.cloud
enabled: true
function: state.sls
jid_include: true
kwargs:
site: example2.com
maxrunning: 1
minutes: 60
name: job2
Scheduled jobs can be listed:
salt \* schedule.list
Scheduler operations#
The scheduler can be enabled on minions:
salt \* schedule.enable
The scheduler can be disabled on minions:
salt \* schedule.disable
A specific job can be disabled in the scheduler:
salt \* schedule.disable_job job1
A specific job can be enabled in the scheduler:
salt \* schedule.enable_job job1
Jobs can be reloaded from disk by running:
salt \* schedule.reload
Scheduling jobs from pillar#
A minion schedule can be set and managed centrally on the Salt master in pillar. A pillar file defining the schedule for a minion would be defined as:
schedule:
job10:
args: [rollout.app1_cicd]
enabled: true
function: state.sls
jid_include: true
kwargs: {site: example.com}
maxrunning: 1
name: job10
return_job: true
seconds: 3600
This schedule would then be added to the pillar top file to target specific minions. After a refresh of pillar data, a minion would now have the new scheduled jobs combined with locally defined scheduled jobs.
Managing schedules in states#
Scheduled jobs can be managed in Salt states with the schedule state module.
This example schedules the command state.sls bind
at 5:00 PM on Monday, Wednesday, and Friday,
and at 3:00 PM on Tuesday and Thursday.
Note
This requires that python-dateutil
is installed on the minion.
job1:
schedule.present:
- function: state.sls
- job_args:
- bind
- when:
- Monday 5:00pm
- Tuesday 3:00pm
- Wednesday 5:00pm
- Thursday 3:00pm
- Friday 5:00pm
Scheduled jobs can also be specified using the format used by cron. This example
schedules the command state.sls bind test=True
to run every 5 minutes.
Note
This requires that python-dateutil
is installed on the minion.
job1:
schedule.present:
- function: state.sls
- job_args:
- bind
- job_kwargs:
test: True
- cron: '*/5 * * * *'
This will remove job1 from the schedule:
job1:
schedule.absent: []
This will disable job1 from the schedule:
disable_job1:
schedule.disable:
- name: job1