Policies
Policies allows users to enforce different rules regarding action executions.
To list the types of policy that are available, run: st2 policy-type list
.
Policy configuration files should be stored in the policies
folder in their respective packs,
similar to actions and rules. Policies can be loaded into StackStorm via
st2ctl reload --register-policies
. Once policies are loaded into StackStorm, run the command
st2 policy list
to view the list of policies in effect.
Concurrency
The concurrency policy enforces the number of executions that can run simultaneously for a specified action.
By default when a threshold is reached, action execution is delayed until the number of concurrent executions of a particular actions falls below the threshold. As an alternative, users can specify that new executions are canceled, rather than delayed.
There are two forms of concurrency policy: action.concurrency
and action.concurrency.attr
.
Note
The concurrency policy type is not enabled by default and requires a backend coordination service such as ZooKeeper or Redis to work. See Coordination for setup instruction.
action.concurrency
The action.concurrency
policy limits the concurrent executions for the action. The following
is an example of a policy file with concurrency defined for demo.my_action
. Please note that
the resource_ref
and policy_type
are the fully qualified name for the action and policy
type respectively. The threshold
parameter defines how many concurrent instances are allowed.
In this example, no more than 10 instances of demo.my_action
can be run simultaneously. Any
execution requests above this threshold will be postponed.
name: my_action.concurrency
description: Limits the concurrent executions for my action.
enabled: true
resource_ref: demo.my_action
policy_type: action.concurrency
parameters:
action: delay
threshold: 10
If you want further actions to be canceled instead of delayed, action
attribute should be
changed to cancel
as shown below.
name: my_action.concurrency
description: Limits the concurrent executions for my action.
enabled: true
resource_ref: demo.my_action
policy_type: action.concurrency
parameters:
action: cancel
threshold: 1
action.concurrency.attr
The action.concurrency.attr
policy limits the executions for the action by input arguments.
Let’s say demo.my_remote_action
has an input argument called hostname
. This is the name of
the host where the remote command or script runs. By using the policy type
action.concurrency.attr
and specifying hostname
as one of the attributes in the policy,
we can limit the number of concurrent demo.my_remote_action
actions running for a given remote
host.
name: my_remote_action.concurrency
description: Limits the concurrent executions for my action.
enabled: true
resource_ref: demo.my_remote_action
policy_type: action.concurrency.attr
parameters:
action: delay
threshold: 10
attributes:
- hostname
Retry
action.retry in st2 actions
Retry policy (action.retry
) allows you to automatically retry (re-run) an action when a
particular failure condition is met. Right now we support retrying actions which have failed or
timed out.
The example below shows how to automatically retry the core.http
action up to two times if it
times out:
---
name: http.retry
description: Retry core.http action on timeout.
enabled: true
resource_ref: core.http
policy_type: action.retry
parameters:
retry_on: timeout
max_retry_count: 2
delay: 2
Keep in mind that retrying an execution results in a new execution which shares all the attributes from the retried execution (parameters, context, etc).
Maximum value of the delay
parameter is 120
seconds. Keep in mind that right now, retry
functionality is not st2notifier
service restart safe. This means if there are any pending
executions to be retried and st2notifier
is restarted, those executions will be lost.
action.retry in workflows
Retry policy is not supported for action executions under workflows. Each specific workflow engine handles retries by its own means where applicable. Currently, action execution will retry on failure and timeout but workflow fails immediately.