google.cloud.gcp_cloudtasks_queue module – Creates a GCP Queue

Note

This module is part of the google.cloud collection (version 1.3.0).

You might already have this collection installed if you are using the ansible package. It is not included in ansible-core. To check whether it is installed, run ansible-galaxy collection list.

To install it, use: ansible-galaxy collection install google.cloud. You need further requirements to be able to use this module, see Requirements for details.

To use it in a playbook, specify: google.cloud.gcp_cloudtasks_queue.

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

Comments

access_token

string

An OAuth2 access token if credential type is accesstoken.

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

The type of credential used.

Choices:

  • "application"

  • "machineaccount"

  • "serviceaccount"

  • "accesstoken"

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

string

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 / elements=string

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.

stackdriver_logging_config

dictionary

Configuration options for writing logs to Stackdriver Logging.

sampling_ratio

string / required

Specifies the fraction of operations to write to Stackdriver Logging.

This field may contain any value between 0.0 and 1.0, inclusive. 0.0 is the default and means that no operations are logged.

state

string

Whether the given object should exist in GCP

Choices:

  • "present" ← (default)

  • "absent"

status

string

The current state of the queue.

Some valid choices include: “RUNNING”, “PAUSED”, “DISABLED”

Examples

- name: create a queue
  google.cloud.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

Description

appEngineRoutingOverride

complex

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

Returned: success

host

string

The host that the task is sent to.

Returned: success

instance

string

App instance.

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

Returned: success

service

string

App service.

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

Returned: success

version

string

App version.

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

Returned: success

location

string

The location of the queue.

Returned: success

name

string

The queue name.

Returned: success

rateLimits

complex

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.

Returned: success

maxBurstSize

integer

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.

Returned: success

maxConcurrentDispatches

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.

Returned: success

maxDispatchesPerSecond

string

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

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

Returned: success

retryConfig

complex

Settings that determine the retry behavior.

Returned: success

maxAttempts

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.

Returned: success

maxBackoff

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.

Returned: success

maxDoublings

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.

Returned: success

maxRetryDuration

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.

Returned: success

minBackoff

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.

Returned: success

purgeTime

string

The last time this queue was purged.

Returned: success

stackdriverLoggingConfig

complex

Configuration options for writing logs to Stackdriver Logging.

Returned: success

samplingRatio

string

Specifies the fraction of operations to write to Stackdriver Logging.

This field may contain any value between 0.0 and 1.0, inclusive. 0.0 is the default and means that no operations are logged.

Returned: success

status

string

The current state of the queue.

Returned: success

Authors

  • Google Inc. (@googlecloudplatform)