gcp_cloudtasks_queue – Creates a GCP Queue

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Ansible/docs/2.9/modules/gcp cloudtasks queue module


gcp_cloudtasks_queue – Creates a GCP Queue

New in version 2.9.


Synopsis

  • A named resource to which messages are sent by publishers.

Requirements

The below requirements are needed on the host that executes this module.

  • python >= 2.6
  • requests >= 2.18.4
  • google-auth >= 1.3.0

Parameters

Parameter Choices/Defaults Comments

app_engine_routing_override

dictionary

Overrides for task-level appEngineRouting. These settings apply only to App Engine tasks in this queue .

instance

string

App instance.

By default, the task is sent to an instance which is available when the task is attempted.

service

string

App service.

By default, the task is sent to the service which is the default service when the task is attempted.

version

string

App version.

By default, the task is sent to the version which is the default version when the task is attempted.

auth_kind

string / required

  • application
  • machineaccount
  • serviceaccount

The type of credential used.

env_type

string

Specifies which Ansible environment you're running this module within.

This should not be set unless you know what you're doing.

This only alters the User Agent string for any API requests.

location

string / required

The location of the queue.

name

string

The queue name.

project

string

The Google Cloud Platform project to use.

rate_limits

dictionary

Rate limits for task dispatches. The queue's actual dispatch rate is the result of: * Number of tasks in the queue * User-specified throttling: rateLimits, retryConfig, and the queue's state.

  • System throttling due to 429 (Too Many Requests) or 503 (Service Unavailable) responses from the worker, high error rates, or to smooth sudden large traffic spikes.

max_concurrent_dispatches

integer

The maximum number of concurrent tasks that Cloud Tasks allows to be dispatched for this queue. After this threshold has been reached, Cloud Tasks stops dispatching tasks until the number of concurrent requests decreases.

max_dispatches_per_second

integer

The maximum rate at which tasks are dispatched from this queue.

If unspecified when the queue is created, Cloud Tasks will pick the default.

retry_config

dictionary

Settings that determine the retry behavior.

max_attempts

integer

Number of attempts per task.

Cloud Tasks will attempt the task maxAttempts times (that is, if the first attempt fails, then there will be maxAttempts - 1 retries). Must be >= -1.

If unspecified when the queue is created, Cloud Tasks will pick the default.

-1 indicates unlimited attempts.

max_backoff

string

A task will be scheduled for retry between minBackoff and maxBackoff duration after it fails, if the queue's RetryConfig specifies that the task should be retried.

max_doublings

integer

The time between retries will double maxDoublings times.

A task's retry interval starts at minBackoff, then doubles maxDoublings times, then increases linearly, and finally retries retries at intervals of maxBackoff up to maxAttempts times.

max_retry_duration

string

If positive, maxRetryDuration specifies the time limit for retrying a failed task, measured from when the task was first attempted. Once maxRetryDuration time has passed and the task has been attempted maxAttempts times, no further attempts will be made and the task will be deleted.

If zero, then the task age is unlimited.

min_backoff

string

A task will be scheduled for retry between minBackoff and maxBackoff duration after it fails, if the queue's RetryConfig specifies that the task should be retried.

scopes

list

Array of scopes to be used.

service_account_contents

jsonarg

The contents of a Service Account JSON file, either in a dictionary or as a JSON string that represents it.

service_account_email

string

An optional service account email address if machineaccount is selected and the user does not wish to use the default email.

service_account_file

path

The path of a Service Account JSON file if serviceaccount is selected as type.

state

string

  • present

  • absent

Whether the given object should exist in GCP

status

string

The current state of the queue.

Some valid choices include: "RUNNING", "PAUSED", "DISABLED"



Notes

Note

  • for authentication, you can set service_account_file using the c(gcp_service_account_file) env variable.
  • for authentication, you can set service_account_contents using the c(GCP_SERVICE_ACCOUNT_CONTENTS) env variable.
  • For authentication, you can set service_account_email using the GCP_SERVICE_ACCOUNT_EMAIL env variable.
  • For authentication, you can set auth_kind using the GCP_AUTH_KIND env variable.
  • For authentication, you can set scopes using the GCP_SCOPES env variable.
  • Environment variables values will only be used if the playbook values are not set.
  • The service_account_email and service_account_file options are mutually exclusive.


Examples

- name: create a queue
  gcp_cloudtasks_queue:
    name: test_object
    location: us-central1
    project: test_project
    auth_kind: serviceaccount
    service_account_file: "/tmp/auth.pem"
    state: present

Return Values

Common return values are documented here, the following are the fields unique to this module:

Key Returned Description

appEngineRoutingOverride

complex

success

Overrides for task-level appEngineRouting. These settings apply only to App Engine tasks in this queue .


host

string

success

The host that the task is sent to.


instance

string

success

App instance.

By default, the task is sent to an instance which is available when the task is attempted.


service

string

success

App service.

By default, the task is sent to the service which is the default service when the task is attempted.


version

string

success

App version.

By default, the task is sent to the version which is the default version when the task is attempted.


location

string

success

The location of the queue.


name

string

success

The queue name.


rateLimits

complex

success

Rate limits for task dispatches. The queue's actual dispatch rate is the result of: * Number of tasks in the queue * User-specified throttling: rateLimits, retryConfig, and the queue's state.

  • System throttling due to 429 (Too Many Requests) or 503 (Service Unavailable) responses from the worker, high error rates, or to smooth sudden large traffic spikes.


maxBurstSize

integer

success

The max burst size.

Max burst size limits how fast tasks in queue are processed when many tasks are in the queue and the rate is high. This field allows the queue to have a high rate so processing starts shortly after a task is enqueued, but still limits resource usage when many tasks are enqueued in a short period of time.


maxConcurrentDispatches

integer

success

The maximum number of concurrent tasks that Cloud Tasks allows to be dispatched for this queue. After this threshold has been reached, Cloud Tasks stops dispatching tasks until the number of concurrent requests decreases.


maxDispatchesPerSecond

integer

success

The maximum rate at which tasks are dispatched from this queue.

If unspecified when the queue is created, Cloud Tasks will pick the default.


retryConfig

complex

success

Settings that determine the retry behavior.


maxAttempts

integer

success

Number of attempts per task.

Cloud Tasks will attempt the task maxAttempts times (that is, if the first attempt fails, then there will be maxAttempts - 1 retries). Must be >= -1.

If unspecified when the queue is created, Cloud Tasks will pick the default.

-1 indicates unlimited attempts.


maxBackoff

string

success

A task will be scheduled for retry between minBackoff and maxBackoff duration after it fails, if the queue's RetryConfig specifies that the task should be retried.


maxDoublings

integer

success

The time between retries will double maxDoublings times.

A task's retry interval starts at minBackoff, then doubles maxDoublings times, then increases linearly, and finally retries retries at intervals of maxBackoff up to maxAttempts times.


maxRetryDuration

string

success

If positive, maxRetryDuration specifies the time limit for retrying a failed task, measured from when the task was first attempted. Once maxRetryDuration time has passed and the task has been attempted maxAttempts times, no further attempts will be made and the task will be deleted.

If zero, then the task age is unlimited.


minBackoff

string

success

A task will be scheduled for retry between minBackoff and maxBackoff duration after it fails, if the queue's RetryConfig specifies that the task should be retried.


purgeTime

string

success

The last time this queue was purged.


status

string

success

The current state of the queue.





Status

Authors

  • Google Inc. (@googlecloudplatform)

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© 2012–2018 Michael DeHaan
© 2018–2019 Red Hat, Inc.
Licensed under the GNU General Public License version 3.
https://docs.ansible.com/ansible/2.9/modules/gcp_cloudtasks_queue_module.html