REST Resource: projects.locations.dataPolicies

Resource: DataPolicy

Represents the label-policy binding.

JSON representation 
{
  "name": string,
  "dataPolicyType": enum (DataPolicyType),
  "dataPolicyId": string,

  // Union field matching_label can be only one of the following:
  "policyTag": string
  // End of list of possible types for union field matching_label.

  // Union field policy can be only one of the following:
  "dataMaskingPolicy": {
    object (DataMaskingPolicy)
  }
  // End of list of possible types for union field policy.
}
Fields
name

string

Output only. Resource name of this data policy, in the format of projects/{projectNumber}/locations/{locationId}/dataPolicies/{dataPolicyId}.
dataPolicyType

enum (DataPolicyType)

Type of data policy.
dataPolicyId

string

User-assigned (human readable) ID of the data policy that needs to be unique within a project. Used as {dataPolicyId} in part of the resource name.
Union field matching_label. Label that is bound to this data policy. matching_label can be only one of the following:
policyTag

string

Policy tag resource name, in the format of projects/{projectNumber}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
Union field policy. The policy that is bound to this data policy. policy can be only one of the following:
dataMaskingPolicy

object (DataMaskingPolicy)

The data masking policy that specifies the data masking rule to use.

DataMaskingPolicy

The data masking policy that is used to specify data masking rule.

JSON representation 
{

  // Union field masking_expression can be only one of the following:
  "predefinedExpression": enum (PredefinedExpression),
  "routine": string
  // End of list of possible types for union field masking_expression.
}
Fields
Union field masking_expression. A masking expression to bind to the data masking rule. masking_expression can be only one of the following:
predefinedExpression

enum (PredefinedExpression)

A predefined masking expression.
routine

string

The name of the BigQuery routine that contains the custom masking routine, in the format of projects/{projectNumber}/datasets/{dataset_id}/routines/{routine_id}.

PredefinedExpression

The available masking rules. Learn more here: https://cloud.google.com/bigquery/docs/column-data-masking-intro#masking_options.

Enums
PREDEFINED_EXPRESSION_UNSPECIFIED Default, unspecified predefined expression. No masking will take place since no expression is specified.
SHA256 Masking expression to replace data with SHA-256 hash.
ALWAYS_NULL Masking expression to replace data with NULLs.
DEFAULT_MASKING_VALUE

Masking expression to replace data with their default masking values. The default masking values for each type listed as below:

  • STRING: ""
  • BYTES: b''
  • INTEGER: 0
  • FLOAT: 0.0
  • NUMERIC: 0
  • BOOLEAN: FALSE
  • TIMESTAMP: 1970-01-01 00:00:00 UTC
  • DATE: 1970-01-01
  • TIME: 00:00:00
  • DATETIME: 1970-01-01T00:00:00
  • GEOGRAPHY: POINT(0 0)
  • BIGNUMERIC: 0
  • ARRAY: []
  • STRUCT: NOT_APPLICABLE
  • JSON: NULL
LAST_FOUR_CHARACTERS

Masking expression shows the last four characters of text. The masking behavior is as follows:

  • If text length > 4 characters: Replace text with XXXXX, append last four characters of original text.
  • If text length <= 4 characters: Apply SHA-256 hash.
FIRST_FOUR_CHARACTERS

Masking expression shows the first four characters of text. The masking behavior is as follows:

  • If text length > 4 characters: Replace text with XXXXX, prepend first four characters of original text.
  • If text length <= 4 characters: Apply SHA-256 hash.
EMAIL_MASK

Masking expression for email addresses. The masking behavior is as follows:

For more information, see Email mask.
DATE_YEAR_MASK

Masking expression to only show the year of Date, DateTime and TimeStamp. For example, with the year 2076:

  • DATE : 2076-01-01
  • DATETIME : 2076-01-01T00:00:00
  • TIMESTAMP : 2076-01-01 00:00:00 UTC

Truncation occurs according to the UTC time zone. To change this, adjust the default time zone using the time_zone system variable. For more information, see the System variables reference.

DataPolicyType

A list of supported data policy types.

Enums
DATA_POLICY_TYPE_UNSPECIFIED Default value for the data policy type. This should not be used.
COLUMN_LEVEL_SECURITY_POLICY Used to create a data policy for column-level security, without data masking.
DATA_MASKING_POLICY Used to create a data policy for data masking.

Methods

create

 Creates a new data policy under a project with the given dataPolicyId (used as the display name), policy tag, and data policy type.

delete

 Deletes the data policy specified by its resource name.

get

 Gets the data policy specified by its resource name.

getIamPolicy

 Gets the IAM policy for the specified data policy.

list

 List all of the data policies in the specified parent project.

patch

 Updates the metadata for an existing data policy.

rename

 Renames the id (display name) of the specified data policy.

setIamPolicy

 Sets the IAM policy for the specified data policy.

testIamPermissions

 Returns the caller's permission on the specified data policy resource.