gcp.bigquerydatapolicy.DataPolicy
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A BigQuery Data Policy
To get more information about DataPolicy, see:
- API documentation
- How-to Guides
Example Usage
Bigquery Datapolicy Data Policy Basic
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const taxonomy = new gcp.datacatalog.Taxonomy("taxonomy", {
region: "us-central1",
displayName: "taxonomy",
description: "A collection of policy tags",
activatedPolicyTypes: ["FINE_GRAINED_ACCESS_CONTROL"],
});
const policyTag = new gcp.datacatalog.PolicyTag("policy_tag", {
taxonomy: taxonomy.id,
displayName: "Low security",
description: "A policy tag normally associated with low security items",
});
const dataPolicy = new gcp.bigquerydatapolicy.DataPolicy("data_policy", {
location: "us-central1",
dataPolicyId: "data_policy",
policyTag: policyTag.name,
dataPolicyType: "COLUMN_LEVEL_SECURITY_POLICY",
});
import pulumi
import pulumi_gcp as gcp
taxonomy = gcp.datacatalog.Taxonomy("taxonomy",
region="us-central1",
display_name="taxonomy",
description="A collection of policy tags",
activated_policy_types=["FINE_GRAINED_ACCESS_CONTROL"])
policy_tag = gcp.datacatalog.PolicyTag("policy_tag",
taxonomy=taxonomy.id,
display_name="Low security",
description="A policy tag normally associated with low security items")
data_policy = gcp.bigquerydatapolicy.DataPolicy("data_policy",
location="us-central1",
data_policy_id="data_policy",
policy_tag=policy_tag.name,
data_policy_type="COLUMN_LEVEL_SECURITY_POLICY")
package main
import (
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquerydatapolicy"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/datacatalog"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
taxonomy, err := datacatalog.NewTaxonomy(ctx, "taxonomy", &datacatalog.TaxonomyArgs{
Region: pulumi.String("us-central1"),
DisplayName: pulumi.String("taxonomy"),
Description: pulumi.String("A collection of policy tags"),
ActivatedPolicyTypes: pulumi.StringArray{
pulumi.String("FINE_GRAINED_ACCESS_CONTROL"),
},
})
if err != nil {
return err
}
policyTag, err := datacatalog.NewPolicyTag(ctx, "policy_tag", &datacatalog.PolicyTagArgs{
Taxonomy: taxonomy.ID(),
DisplayName: pulumi.String("Low security"),
Description: pulumi.String("A policy tag normally associated with low security items"),
})
if err != nil {
return err
}
_, err = bigquerydatapolicy.NewDataPolicy(ctx, "data_policy", &bigquerydatapolicy.DataPolicyArgs{
Location: pulumi.String("us-central1"),
DataPolicyId: pulumi.String("data_policy"),
PolicyTag: policyTag.Name,
DataPolicyType: pulumi.String("COLUMN_LEVEL_SECURITY_POLICY"),
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
var taxonomy = new Gcp.DataCatalog.Taxonomy("taxonomy", new()
{
Region = "us-central1",
DisplayName = "taxonomy",
Description = "A collection of policy tags",
ActivatedPolicyTypes = new[]
{
"FINE_GRAINED_ACCESS_CONTROL",
},
});
var policyTag = new Gcp.DataCatalog.PolicyTag("policy_tag", new()
{
Taxonomy = taxonomy.Id,
DisplayName = "Low security",
Description = "A policy tag normally associated with low security items",
});
var dataPolicy = new Gcp.BigQueryDataPolicy.DataPolicy("data_policy", new()
{
Location = "us-central1",
DataPolicyId = "data_policy",
PolicyTag = policyTag.Name,
DataPolicyType = "COLUMN_LEVEL_SECURITY_POLICY",
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.datacatalog.Taxonomy;
import com.pulumi.gcp.datacatalog.TaxonomyArgs;
import com.pulumi.gcp.datacatalog.PolicyTag;
import com.pulumi.gcp.datacatalog.PolicyTagArgs;
import com.pulumi.gcp.bigquerydatapolicy.DataPolicy;
import com.pulumi.gcp.bigquerydatapolicy.DataPolicyArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var taxonomy = new Taxonomy("taxonomy", TaxonomyArgs.builder()
.region("us-central1")
.displayName("taxonomy")
.description("A collection of policy tags")
.activatedPolicyTypes("FINE_GRAINED_ACCESS_CONTROL")
.build());
var policyTag = new PolicyTag("policyTag", PolicyTagArgs.builder()
.taxonomy(taxonomy.id())
.displayName("Low security")
.description("A policy tag normally associated with low security items")
.build());
var dataPolicy = new DataPolicy("dataPolicy", DataPolicyArgs.builder()
.location("us-central1")
.dataPolicyId("data_policy")
.policyTag(policyTag.name())
.dataPolicyType("COLUMN_LEVEL_SECURITY_POLICY")
.build());
}
}
resources:
dataPolicy:
type: gcp:bigquerydatapolicy:DataPolicy
name: data_policy
properties:
location: us-central1
dataPolicyId: data_policy
policyTag: ${policyTag.name}
dataPolicyType: COLUMN_LEVEL_SECURITY_POLICY
policyTag:
type: gcp:datacatalog:PolicyTag
name: policy_tag
properties:
taxonomy: ${taxonomy.id}
displayName: Low security
description: A policy tag normally associated with low security items
taxonomy:
type: gcp:datacatalog:Taxonomy
properties:
region: us-central1
displayName: taxonomy
description: A collection of policy tags
activatedPolicyTypes:
- FINE_GRAINED_ACCESS_CONTROL
Bigquery Datapolicy Data Policy Routine
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const taxonomy = new gcp.datacatalog.Taxonomy("taxonomy", {
region: "us-central1",
displayName: "taxonomy",
description: "A collection of policy tags",
activatedPolicyTypes: ["FINE_GRAINED_ACCESS_CONTROL"],
});
const policyTag = new gcp.datacatalog.PolicyTag("policy_tag", {
taxonomy: taxonomy.id,
displayName: "Low security",
description: "A policy tag normally associated with low security items",
});
const test = new gcp.bigquery.Dataset("test", {
datasetId: "dataset_id",
location: "us-central1",
});
const customMaskingRoutine = new gcp.bigquery.Routine("custom_masking_routine", {
datasetId: test.datasetId,
routineId: "custom_masking_routine",
routineType: "SCALAR_FUNCTION",
language: "SQL",
dataGovernanceType: "DATA_MASKING",
definitionBody: "SAFE.REGEXP_REPLACE(ssn, '[0-9]', 'X')",
returnType: "{\"typeKind\" : \"STRING\"}",
arguments: [{
name: "ssn",
dataType: "{\"typeKind\" : \"STRING\"}",
}],
});
const dataPolicy = new gcp.bigquerydatapolicy.DataPolicy("data_policy", {
location: "us-central1",
dataPolicyId: "data_policy",
policyTag: policyTag.name,
dataPolicyType: "DATA_MASKING_POLICY",
dataMaskingPolicy: {
routine: customMaskingRoutine.id,
},
});
import pulumi
import pulumi_gcp as gcp
taxonomy = gcp.datacatalog.Taxonomy("taxonomy",
region="us-central1",
display_name="taxonomy",
description="A collection of policy tags",
activated_policy_types=["FINE_GRAINED_ACCESS_CONTROL"])
policy_tag = gcp.datacatalog.PolicyTag("policy_tag",
taxonomy=taxonomy.id,
display_name="Low security",
description="A policy tag normally associated with low security items")
test = gcp.bigquery.Dataset("test",
dataset_id="dataset_id",
location="us-central1")
custom_masking_routine = gcp.bigquery.Routine("custom_masking_routine",
dataset_id=test.dataset_id,
routine_id="custom_masking_routine",
routine_type="SCALAR_FUNCTION",
language="SQL",
data_governance_type="DATA_MASKING",
definition_body="SAFE.REGEXP_REPLACE(ssn, '[0-9]', 'X')",
return_type="{\"typeKind\" : \"STRING\"}",
arguments=[{
"name": "ssn",
"data_type": "{\"typeKind\" : \"STRING\"}",
}])
data_policy = gcp.bigquerydatapolicy.DataPolicy("data_policy",
location="us-central1",
data_policy_id="data_policy",
policy_tag=policy_tag.name,
data_policy_type="DATA_MASKING_POLICY",
data_masking_policy={
"routine": custom_masking_routine.id,
})
package main
import (
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquery"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquerydatapolicy"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/datacatalog"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
taxonomy, err := datacatalog.NewTaxonomy(ctx, "taxonomy", &datacatalog.TaxonomyArgs{
Region: pulumi.String("us-central1"),
DisplayName: pulumi.String("taxonomy"),
Description: pulumi.String("A collection of policy tags"),
ActivatedPolicyTypes: pulumi.StringArray{
pulumi.String("FINE_GRAINED_ACCESS_CONTROL"),
},
})
if err != nil {
return err
}
policyTag, err := datacatalog.NewPolicyTag(ctx, "policy_tag", &datacatalog.PolicyTagArgs{
Taxonomy: taxonomy.ID(),
DisplayName: pulumi.String("Low security"),
Description: pulumi.String("A policy tag normally associated with low security items"),
})
if err != nil {
return err
}
test, err := bigquery.NewDataset(ctx, "test", &bigquery.DatasetArgs{
DatasetId: pulumi.String("dataset_id"),
Location: pulumi.String("us-central1"),
})
if err != nil {
return err
}
customMaskingRoutine, err := bigquery.NewRoutine(ctx, "custom_masking_routine", &bigquery.RoutineArgs{
DatasetId: test.DatasetId,
RoutineId: pulumi.String("custom_masking_routine"),
RoutineType: pulumi.String("SCALAR_FUNCTION"),
Language: pulumi.String("SQL"),
DataGovernanceType: pulumi.String("DATA_MASKING"),
DefinitionBody: pulumi.String("SAFE.REGEXP_REPLACE(ssn, '[0-9]', 'X')"),
ReturnType: pulumi.String("{\"typeKind\" : \"STRING\"}"),
Arguments: bigquery.RoutineArgumentArray{
&bigquery.RoutineArgumentArgs{
Name: pulumi.String("ssn"),
DataType: pulumi.String("{\"typeKind\" : \"STRING\"}"),
},
},
})
if err != nil {
return err
}
_, err = bigquerydatapolicy.NewDataPolicy(ctx, "data_policy", &bigquerydatapolicy.DataPolicyArgs{
Location: pulumi.String("us-central1"),
DataPolicyId: pulumi.String("data_policy"),
PolicyTag: policyTag.Name,
DataPolicyType: pulumi.String("DATA_MASKING_POLICY"),
DataMaskingPolicy: &bigquerydatapolicy.DataPolicyDataMaskingPolicyArgs{
Routine: customMaskingRoutine.ID(),
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
var taxonomy = new Gcp.DataCatalog.Taxonomy("taxonomy", new()
{
Region = "us-central1",
DisplayName = "taxonomy",
Description = "A collection of policy tags",
ActivatedPolicyTypes = new[]
{
"FINE_GRAINED_ACCESS_CONTROL",
},
});
var policyTag = new Gcp.DataCatalog.PolicyTag("policy_tag", new()
{
Taxonomy = taxonomy.Id,
DisplayName = "Low security",
Description = "A policy tag normally associated with low security items",
});
var test = new Gcp.BigQuery.Dataset("test", new()
{
DatasetId = "dataset_id",
Location = "us-central1",
});
var customMaskingRoutine = new Gcp.BigQuery.Routine("custom_masking_routine", new()
{
DatasetId = test.DatasetId,
RoutineId = "custom_masking_routine",
RoutineType = "SCALAR_FUNCTION",
Language = "SQL",
DataGovernanceType = "DATA_MASKING",
DefinitionBody = "SAFE.REGEXP_REPLACE(ssn, '[0-9]', 'X')",
ReturnType = "{\"typeKind\" : \"STRING\"}",
Arguments = new[]
{
new Gcp.BigQuery.Inputs.RoutineArgumentArgs
{
Name = "ssn",
DataType = "{\"typeKind\" : \"STRING\"}",
},
},
});
var dataPolicy = new Gcp.BigQueryDataPolicy.DataPolicy("data_policy", new()
{
Location = "us-central1",
DataPolicyId = "data_policy",
PolicyTag = policyTag.Name,
DataPolicyType = "DATA_MASKING_POLICY",
DataMaskingPolicy = new Gcp.BigQueryDataPolicy.Inputs.DataPolicyDataMaskingPolicyArgs
{
Routine = customMaskingRoutine.Id,
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.datacatalog.Taxonomy;
import com.pulumi.gcp.datacatalog.TaxonomyArgs;
import com.pulumi.gcp.datacatalog.PolicyTag;
import com.pulumi.gcp.datacatalog.PolicyTagArgs;
import com.pulumi.gcp.bigquery.Dataset;
import com.pulumi.gcp.bigquery.DatasetArgs;
import com.pulumi.gcp.bigquery.Routine;
import com.pulumi.gcp.bigquery.RoutineArgs;
import com.pulumi.gcp.bigquery.inputs.RoutineArgumentArgs;
import com.pulumi.gcp.bigquerydatapolicy.DataPolicy;
import com.pulumi.gcp.bigquerydatapolicy.DataPolicyArgs;
import com.pulumi.gcp.bigquerydatapolicy.inputs.DataPolicyDataMaskingPolicyArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var taxonomy = new Taxonomy("taxonomy", TaxonomyArgs.builder()
.region("us-central1")
.displayName("taxonomy")
.description("A collection of policy tags")
.activatedPolicyTypes("FINE_GRAINED_ACCESS_CONTROL")
.build());
var policyTag = new PolicyTag("policyTag", PolicyTagArgs.builder()
.taxonomy(taxonomy.id())
.displayName("Low security")
.description("A policy tag normally associated with low security items")
.build());
var test = new Dataset("test", DatasetArgs.builder()
.datasetId("dataset_id")
.location("us-central1")
.build());
var customMaskingRoutine = new Routine("customMaskingRoutine", RoutineArgs.builder()
.datasetId(test.datasetId())
.routineId("custom_masking_routine")
.routineType("SCALAR_FUNCTION")
.language("SQL")
.dataGovernanceType("DATA_MASKING")
.definitionBody("SAFE.REGEXP_REPLACE(ssn, '[0-9]', 'X')")
.returnType("{\"typeKind\" : \"STRING\"}")
.arguments(RoutineArgumentArgs.builder()
.name("ssn")
.dataType("{\"typeKind\" : \"STRING\"}")
.build())
.build());
var dataPolicy = new DataPolicy("dataPolicy", DataPolicyArgs.builder()
.location("us-central1")
.dataPolicyId("data_policy")
.policyTag(policyTag.name())
.dataPolicyType("DATA_MASKING_POLICY")
.dataMaskingPolicy(DataPolicyDataMaskingPolicyArgs.builder()
.routine(customMaskingRoutine.id())
.build())
.build());
}
}
resources:
dataPolicy:
type: gcp:bigquerydatapolicy:DataPolicy
name: data_policy
properties:
location: us-central1
dataPolicyId: data_policy
policyTag: ${policyTag.name}
dataPolicyType: DATA_MASKING_POLICY
dataMaskingPolicy:
routine: ${customMaskingRoutine.id}
policyTag:
type: gcp:datacatalog:PolicyTag
name: policy_tag
properties:
taxonomy: ${taxonomy.id}
displayName: Low security
description: A policy tag normally associated with low security items
taxonomy:
type: gcp:datacatalog:Taxonomy
properties:
region: us-central1
displayName: taxonomy
description: A collection of policy tags
activatedPolicyTypes:
- FINE_GRAINED_ACCESS_CONTROL
test:
type: gcp:bigquery:Dataset
properties:
datasetId: dataset_id
location: us-central1
customMaskingRoutine:
type: gcp:bigquery:Routine
name: custom_masking_routine
properties:
datasetId: ${test.datasetId}
routineId: custom_masking_routine
routineType: SCALAR_FUNCTION
language: SQL
dataGovernanceType: DATA_MASKING
definitionBody: SAFE.REGEXP_REPLACE(ssn, '[0-9]', 'X')
returnType: '{"typeKind" : "STRING"}'
arguments:
- name: ssn
dataType: '{"typeKind" : "STRING"}'
Create DataPolicy Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new DataPolicy(name: string, args: DataPolicyArgs, opts?: CustomResourceOptions);
@overload
def DataPolicy(resource_name: str,
args: DataPolicyArgs,
opts: Optional[ResourceOptions] = None)
@overload
def DataPolicy(resource_name: str,
opts: Optional[ResourceOptions] = None,
data_policy_id: Optional[str] = None,
data_policy_type: Optional[str] = None,
location: Optional[str] = None,
policy_tag: Optional[str] = None,
data_masking_policy: Optional[DataPolicyDataMaskingPolicyArgs] = None,
project: Optional[str] = None)
func NewDataPolicy(ctx *Context, name string, args DataPolicyArgs, opts ...ResourceOption) (*DataPolicy, error)
public DataPolicy(string name, DataPolicyArgs args, CustomResourceOptions? opts = null)
public DataPolicy(String name, DataPolicyArgs args)
public DataPolicy(String name, DataPolicyArgs args, CustomResourceOptions options)
type: gcp:bigquerydatapolicy:DataPolicy
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args DataPolicyArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args DataPolicyArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args DataPolicyArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DataPolicyArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DataPolicyArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var dataPolicyResource = new Gcp.BigQueryDataPolicy.DataPolicy("dataPolicyResource", new()
{
DataPolicyId = "string",
DataPolicyType = "string",
Location = "string",
PolicyTag = "string",
DataMaskingPolicy = new Gcp.BigQueryDataPolicy.Inputs.DataPolicyDataMaskingPolicyArgs
{
PredefinedExpression = "string",
Routine = "string",
},
Project = "string",
});
example, err := bigquerydatapolicy.NewDataPolicy(ctx, "dataPolicyResource", &bigquerydatapolicy.DataPolicyArgs{
DataPolicyId: pulumi.String("string"),
DataPolicyType: pulumi.String("string"),
Location: pulumi.String("string"),
PolicyTag: pulumi.String("string"),
DataMaskingPolicy: &bigquerydatapolicy.DataPolicyDataMaskingPolicyArgs{
PredefinedExpression: pulumi.String("string"),
Routine: pulumi.String("string"),
},
Project: pulumi.String("string"),
})
var dataPolicyResource = new DataPolicy("dataPolicyResource", DataPolicyArgs.builder()
.dataPolicyId("string")
.dataPolicyType("string")
.location("string")
.policyTag("string")
.dataMaskingPolicy(DataPolicyDataMaskingPolicyArgs.builder()
.predefinedExpression("string")
.routine("string")
.build())
.project("string")
.build());
data_policy_resource = gcp.bigquerydatapolicy.DataPolicy("dataPolicyResource",
data_policy_id="string",
data_policy_type="string",
location="string",
policy_tag="string",
data_masking_policy={
"predefined_expression": "string",
"routine": "string",
},
project="string")
const dataPolicyResource = new gcp.bigquerydatapolicy.DataPolicy("dataPolicyResource", {
dataPolicyId: "string",
dataPolicyType: "string",
location: "string",
policyTag: "string",
dataMaskingPolicy: {
predefinedExpression: "string",
routine: "string",
},
project: "string",
});
type: gcp:bigquerydatapolicy:DataPolicy
properties:
dataMaskingPolicy:
predefinedExpression: string
routine: string
dataPolicyId: string
dataPolicyType: string
location: string
policyTag: string
project: string
DataPolicy Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The DataPolicy resource accepts the following input properties:
- Data
Policy stringId - 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.
- Data
Policy stringType - The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY
,DATA_MASKING_POLICY
. - Location string
- The name of the location of the data policy.
- Policy
Tag string - Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
- Data
Masking DataPolicy Policy Data Masking Policy - The data masking policy that specifies the data masking rule to use. Structure is documented below.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Data
Policy stringId - 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.
- Data
Policy stringType - The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY
,DATA_MASKING_POLICY
. - Location string
- The name of the location of the data policy.
- Policy
Tag string - Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
- Data
Masking DataPolicy Policy Data Masking Policy Args - The data masking policy that specifies the data masking rule to use. Structure is documented below.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- data
Policy StringId - 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.
- data
Policy StringType - The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY
,DATA_MASKING_POLICY
. - location String
- The name of the location of the data policy.
- policy
Tag String - Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
- data
Masking DataPolicy Policy Data Masking Policy - The data masking policy that specifies the data masking rule to use. Structure is documented below.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- data
Policy stringId - 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.
- data
Policy stringType - The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY
,DATA_MASKING_POLICY
. - location string
- The name of the location of the data policy.
- policy
Tag string - Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
- data
Masking DataPolicy Policy Data Masking Policy - The data masking policy that specifies the data masking rule to use. Structure is documented below.
- project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- data_
policy_ strid - 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.
- data_
policy_ strtype - The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY
,DATA_MASKING_POLICY
. - location str
- The name of the location of the data policy.
- policy_
tag str - Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
- data_
masking_ Datapolicy Policy Data Masking Policy Args - The data masking policy that specifies the data masking rule to use. Structure is documented below.
- project str
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- data
Policy StringId - 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.
- data
Policy StringType - The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY
,DATA_MASKING_POLICY
. - location String
- The name of the location of the data policy.
- policy
Tag String - Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
- data
Masking Property MapPolicy - The data masking policy that specifies the data masking rule to use. Structure is documented below.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
Outputs
All input properties are implicitly available as output properties. Additionally, the DataPolicy resource produces the following output properties:
Look up Existing DataPolicy Resource
Get an existing DataPolicy resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: DataPolicyState, opts?: CustomResourceOptions): DataPolicy
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
data_masking_policy: Optional[DataPolicyDataMaskingPolicyArgs] = None,
data_policy_id: Optional[str] = None,
data_policy_type: Optional[str] = None,
location: Optional[str] = None,
name: Optional[str] = None,
policy_tag: Optional[str] = None,
project: Optional[str] = None) -> DataPolicy
func GetDataPolicy(ctx *Context, name string, id IDInput, state *DataPolicyState, opts ...ResourceOption) (*DataPolicy, error)
public static DataPolicy Get(string name, Input<string> id, DataPolicyState? state, CustomResourceOptions? opts = null)
public static DataPolicy get(String name, Output<String> id, DataPolicyState state, CustomResourceOptions options)
Resource lookup is not supported in YAML
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- Data
Masking DataPolicy Policy Data Masking Policy - The data masking policy that specifies the data masking rule to use. Structure is documented below.
- Data
Policy stringId - 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.
- Data
Policy stringType - The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY
,DATA_MASKING_POLICY
. - Location string
- The name of the location of the data policy.
- Name string
- Resource name of this data policy, in the format of projects/{project_number}/locations/{locationId}/dataPolicies/{dataPolicyId}.
- Policy
Tag string - Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Data
Masking DataPolicy Policy Data Masking Policy Args - The data masking policy that specifies the data masking rule to use. Structure is documented below.
- Data
Policy stringId - 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.
- Data
Policy stringType - The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY
,DATA_MASKING_POLICY
. - Location string
- The name of the location of the data policy.
- Name string
- Resource name of this data policy, in the format of projects/{project_number}/locations/{locationId}/dataPolicies/{dataPolicyId}.
- Policy
Tag string - Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- data
Masking DataPolicy Policy Data Masking Policy - The data masking policy that specifies the data masking rule to use. Structure is documented below.
- data
Policy StringId - 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.
- data
Policy StringType - The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY
,DATA_MASKING_POLICY
. - location String
- The name of the location of the data policy.
- name String
- Resource name of this data policy, in the format of projects/{project_number}/locations/{locationId}/dataPolicies/{dataPolicyId}.
- policy
Tag String - Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- data
Masking DataPolicy Policy Data Masking Policy - The data masking policy that specifies the data masking rule to use. Structure is documented below.
- data
Policy stringId - 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.
- data
Policy stringType - The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY
,DATA_MASKING_POLICY
. - location string
- The name of the location of the data policy.
- name string
- Resource name of this data policy, in the format of projects/{project_number}/locations/{locationId}/dataPolicies/{dataPolicyId}.
- policy
Tag string - Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
- project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- data_
masking_ Datapolicy Policy Data Masking Policy Args - The data masking policy that specifies the data masking rule to use. Structure is documented below.
- data_
policy_ strid - 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.
- data_
policy_ strtype - The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY
,DATA_MASKING_POLICY
. - location str
- The name of the location of the data policy.
- name str
- Resource name of this data policy, in the format of projects/{project_number}/locations/{locationId}/dataPolicies/{dataPolicyId}.
- policy_
tag str - Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
- project str
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- data
Masking Property MapPolicy - The data masking policy that specifies the data masking rule to use. Structure is documented below.
- data
Policy StringId - 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.
- data
Policy StringType - The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY
,DATA_MASKING_POLICY
. - location String
- The name of the location of the data policy.
- name String
- Resource name of this data policy, in the format of projects/{project_number}/locations/{locationId}/dataPolicies/{dataPolicyId}.
- policy
Tag String - Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
Supporting Types
DataPolicyDataMaskingPolicy, DataPolicyDataMaskingPolicyArgs
- Predefined
Expression string - The available masking rules. Learn more here: https://cloud.google.com/bigquery/docs/column-data-masking-intro#masking_options.
Possible values are:
SHA256
,ALWAYS_NULL
,DEFAULT_MASKING_VALUE
,LAST_FOUR_CHARACTERS
,FIRST_FOUR_CHARACTERS
,EMAIL_MASK
,DATE_YEAR_MASK
. - 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}.
- Predefined
Expression string - The available masking rules. Learn more here: https://cloud.google.com/bigquery/docs/column-data-masking-intro#masking_options.
Possible values are:
SHA256
,ALWAYS_NULL
,DEFAULT_MASKING_VALUE
,LAST_FOUR_CHARACTERS
,FIRST_FOUR_CHARACTERS
,EMAIL_MASK
,DATE_YEAR_MASK
. - 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}.
- predefined
Expression String - The available masking rules. Learn more here: https://cloud.google.com/bigquery/docs/column-data-masking-intro#masking_options.
Possible values are:
SHA256
,ALWAYS_NULL
,DEFAULT_MASKING_VALUE
,LAST_FOUR_CHARACTERS
,FIRST_FOUR_CHARACTERS
,EMAIL_MASK
,DATE_YEAR_MASK
. - 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}.
- predefined
Expression string - The available masking rules. Learn more here: https://cloud.google.com/bigquery/docs/column-data-masking-intro#masking_options.
Possible values are:
SHA256
,ALWAYS_NULL
,DEFAULT_MASKING_VALUE
,LAST_FOUR_CHARACTERS
,FIRST_FOUR_CHARACTERS
,EMAIL_MASK
,DATE_YEAR_MASK
. - 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}.
- predefined_
expression str - The available masking rules. Learn more here: https://cloud.google.com/bigquery/docs/column-data-masking-intro#masking_options.
Possible values are:
SHA256
,ALWAYS_NULL
,DEFAULT_MASKING_VALUE
,LAST_FOUR_CHARACTERS
,FIRST_FOUR_CHARACTERS
,EMAIL_MASK
,DATE_YEAR_MASK
. - routine str
- The name of the BigQuery routine that contains the custom masking routine, in the format of projects/{projectNumber}/datasets/{dataset_id}/routines/{routine_id}.
- predefined
Expression String - The available masking rules. Learn more here: https://cloud.google.com/bigquery/docs/column-data-masking-intro#masking_options.
Possible values are:
SHA256
,ALWAYS_NULL
,DEFAULT_MASKING_VALUE
,LAST_FOUR_CHARACTERS
,FIRST_FOUR_CHARACTERS
,EMAIL_MASK
,DATE_YEAR_MASK
. - 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}.
Import
DataPolicy can be imported using any of these accepted formats:
projects/{{project}}/locations/{{location}}/dataPolicies/{{data_policy_id}}
{{project}}/{{location}}/{{data_policy_id}}
{{location}}/{{data_policy_id}}
When using the pulumi import
command, DataPolicy can be imported using one of the formats above. For example:
$ pulumi import gcp:bigquerydatapolicy/dataPolicy:DataPolicy default projects/{{project}}/locations/{{location}}/dataPolicies/{{data_policy_id}}
$ pulumi import gcp:bigquerydatapolicy/dataPolicy:DataPolicy default {{project}}/{{location}}/{{data_policy_id}}
$ pulumi import gcp:bigquerydatapolicy/dataPolicy:DataPolicy default {{location}}/{{data_policy_id}}
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Google Cloud (GCP) Classic pulumi/pulumi-gcp
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
google-beta
Terraform Provider.