gcp_bigquery_dataset – Creates a GCP Dataset

New in version 2.8.

Synopsis

  • Datasets allow you to organize and control access to your tables.

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
access
-
Access controls on the bucket.
domain
-
A domain to grant access to. Any users signed in with the domain specified will be granted the specified access .
group_by_email
-
An email address of a Google Group to grant access to.
role
-
    Choices:
  • READER
  • WRITER
  • OWNER
Describes the rights granted to the user specified by the other member of the access object .
special_group
-
A special group to grant access to.
user_by_email
-
An email address of a user to grant access to. For example: [email protected] .
view
-
A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation.
dataset_id
- / required
The ID of the dataset containing this table.
project_id
- / required
The ID of the project containing this table.
table_id
- / required
The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores. The maximum length is 1,024 characters.
auth_kind
string / required
    Choices:
  • application
  • machineaccount
  • serviceaccount
The type of credential used.
dataset_reference
- / required
A reference that identifies the dataset.
dataset_id
- / required
A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores. The maximum length is 1,024 characters.
project_id
-
The ID of the project containing this dataset.
default_table_expiration_ms
-
The default lifetime of all tables in the dataset, in milliseconds .
description
-
A user-friendly description of the dataset.
friendly_name
-
A descriptive name for the dataset.
labels
-
The labels associated with this dataset. You can use these to organize and group your datasets .
location
-
Default:
"US"
The geographic location where the dataset should reside. Possible values include EU and US. The default value is US.
name
-
Dataset name.
project
string
The Google Cloud Platform project to use.
scopes
list
Array of scopes to be used.
service_account_contents
string
A string representing the contents of a Service Account JSON file.
This should not be passed in as a dictionary, but a string that has the exact contents of a service account json file (valid JSON)
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
-
    Choices:
  • present
  • absent
Whether the given object should exist in GCP

Notes

Note

  • For authentication, you can set service_account_file using the GCP_SERVICE_ACCOUNT_FILE env variable.
  • For authentication, you can set service_account_email using the GCP_SERVICE_ACCOUNT_EMAIL env variable.
  • For authentication, you can set service_account_contents using the GCP_SERVICE_ACCOUNT_CONTENTS 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 dataset
  gcp_bigquery_dataset:
    name: my_example_dataset
    dataset_reference:
      dataset_id: my_example_dataset
    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
access
complex
success
Access controls on the bucket.

domain
string
success
A domain to grant access to. Any users signed in with the domain specified will be granted the specified access .

groupByEmail
string
success
An email address of a Google Group to grant access to.

role
string
success
Describes the rights granted to the user specified by the other member of the access object .

specialGroup
string
success
A special group to grant access to.

userByEmail
string
success
An email address of a user to grant access to. For example: [email protected] .

view
complex
success
A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation.

datasetId
string
success
The ID of the dataset containing this table.

projectId
string
success
The ID of the project containing this table.

tableId
string
success
The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores. The maximum length is 1,024 characters.

creationTime
integer
success
The time when this dataset was created, in milliseconds since the epoch.

datasetReference
complex
success
A reference that identifies the dataset.

datasetId
string
success
A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores. The maximum length is 1,024 characters.

projectId
string
success
The ID of the project containing this dataset.

defaultTableExpirationMs
integer
success
The default lifetime of all tables in the dataset, in milliseconds .

description
string
success
A user-friendly description of the dataset.

friendlyName
string
success
A descriptive name for the dataset.

id
string
success
The fully-qualified unique name of the dataset in the format projectId:datasetId. The dataset name without the project name is given in the datasetId field .

labels
dictionary
success
The labels associated with this dataset. You can use these to organize and group your datasets .

lastModifiedTime
integer
success
The date when this dataset or any of its tables was last modified, in milliseconds since the epoch.

location
string
success
The geographic location where the dataset should reside. Possible values include EU and US. The default value is US.

name
string
success
Dataset name.



Status

Authors

  • Google Inc. (@googlecloudplatform)

Hint

If you notice any issues in this documentation you can edit this document to improve it.

© 2012–2018 Michael DeHaan
© 2018–2019 Red Hat, Inc.
Licensed under the GNU General Public License version 3.
https://docs.ansible.com/ansible/2.8/modules/gcp_bigquery_dataset_module.html