DataPolicy class
A BigQuery Data Policy
To get more information about DataPolicy, see:
- API documentation
- How-to Guides
- Official Documentation
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")
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 main
import (
"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/bigquerydatapolicy"
"github.com/pulumi/pulumi-gcp/sdk/v9/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().ToIDOutput().ToStringOutput(),
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
})
}
pulumi {
required_providers {
gcp = {
source = "pulumi/gcp"
}
}
}
resource "gcp_bigquerydatapolicy_datapolicy" "data_policy" {
location = "us-central1"
data_policy_id = "data_policy"
policy_tag = gcp_datacatalog_policytag.policy_tag.name
data_policy_type = "COLUMN_LEVEL_SECURITY_POLICY"
}
resource "gcp_datacatalog_policytag" "policy_tag" {
taxonomy = gcp_datacatalog_taxonomy.taxonomy.id
display_name = "Low security"
description = "A policy tag normally associated with low security items"
}
resource "gcp_datacatalog_taxonomy" "taxonomy" {
region = "us-central1"
display_name = "taxonomy"
description = "A collection of policy tags"
activated_policy_types = ["FINE_GRAINED_ACCESS_CONTROL"]
}
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.ArrayList;
import java.util.Arrays;
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,
})
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 main
import (
"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/bigquery"
"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/bigquerydatapolicy"
"github.com/pulumi/pulumi-gcp/sdk/v9/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().ToIDOutput().ToStringOutput(),
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().ToIDOutput().ToStringOutput(),
},
})
if err != nil {
return err
}
return nil
})
}
pulumi {
required_providers {
gcp = {
source = "pulumi/gcp"
}
}
}
resource "gcp_bigquerydatapolicy_datapolicy" "data_policy" {
location = "us-central1"
data_policy_id = "data_policy"
policy_tag = gcp_datacatalog_policytag.policy_tag.name
data_policy_type = "DATA_MASKING_POLICY"
data_masking_policy = {
routine = gcp_bigquery_routine.custom_masking_routine.id
}
}
resource "gcp_datacatalog_policytag" "policy_tag" {
taxonomy = gcp_datacatalog_taxonomy.taxonomy.id
display_name = "Low security"
description = "A policy tag normally associated with low security items"
}
resource "gcp_datacatalog_taxonomy" "taxonomy" {
region = "us-central1"
display_name = "taxonomy"
description = "A collection of policy tags"
activated_policy_types = ["FINE_GRAINED_ACCESS_CONTROL"]
}
resource "gcp_bigquery_dataset" "test" {
dataset_id = "dataset_id"
location = "us-central1"
}
resource "gcp_bigquery_routine" "custom_masking_routine" {
dataset_id = gcp_bigquery_dataset.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\"}"
}
}
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.ArrayList;
import java.util.Arrays;
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"}'
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}}
Constructors
- DataPolicy(String name, {DataPolicyArgs? args, CustomResourceOptions? options})
-
Creates a new DataPolicy.
nameThe Pulumi resource name.argsArguments used to configure this DataPolicy. The set of arguments for DataPolicy.optionsResource options controlling this resource's behavior. - DataPolicy.reference(String urn)
- Creates a typed reference to an existing DataPolicy resource.
Properties
-
childResources
→ Set<
Resource> -
finalinherited
-
completionSources
↔ Map<
String, IOutputCompletionSource> -
latefinalinherited
-
dataMaskingPolicy
↔ Output<
DataPolicyDataMaskingPolicy?> -
The data masking policy that specifies the data masking rule to use.
Structure is documented below.
latefinal
-
dataPolicyId
↔ Output<
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.
latefinal
-
dataPolicyType
↔ Output<
String> -
The enrollment level of the service.
Possible values are:
COLUMN_LEVEL_SECURITY_POLICY,DATA_MASKING_POLICY.latefinal -
deletionPolicy
↔ Output<
String> -
Whether Terraform will be prevented from destroying the resource. Defaults to DELETE.
When a 'terraform destroy' or 'pulumi up' would delete the resource,
the command will fail if this field is set to "PREVENT" in Terraform state.
When set to "ABANDON", the command will remove the resource from Terraform
management without updating or deleting the resource in the API.
When set to "DELETE", deleting the resource is allowed.
latefinal
- hashCode → int
-
The hash code for this object.
no setterinherited
-
id
↔ Output<
String> -
getter/setter pairinherited
- isCustom → bool
-
Returns whether this resource is provider-managed.
no setterinherited
- isProtected → bool
-
Returns whether this resource is protected from deletion.
no setterinherited
- isRemote → bool
-
Whether this resource is registered as remote.
no setterinherited
- isResourceReference → bool
-
Whether this instance represents a resource value returned over RPC.
finalinherited
-
location
↔ Output<
String> -
The name of the location of the data policy.
latefinal
-
name
↔ Output<
String> -
Resource name of this data policy, in the format of projects/{project_number}/locations/{locationId}/dataPolicies/{dataPolicyId}.
latefinal
-
policyTag
↔ Output<
String> -
Policy tag resource name, in the format of projects/{project_number}/locations/{locationId}/taxonomies/{taxonomyId}/policyTags/{policyTag_id}.
latefinal
-
project
↔ Output<
String> -
The ID of the project in which the resource belongs.
If it is not provided, the provider project is used.
latefinal
-
resourceTransforms
→ List<
ResourceTransform> -
Inherited/explicit async transforms.
no setterinherited
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
-
transformations
→ List<
ResourceTransformation> -
Inherited/explicit legacy transformations.
no setterinherited
-
urn
↔ Output<
String> -
latefinalinherited
Methods
-
failId(
Object error) → void -
Completes this resource ID with an error when registration fails.
inherited
-
failOutputs(
Object error) → void -
Completes all output properties with
error.inherited -
failUrn(
Object error) → void -
Completes this resource URN with an error when registration fails.
inherited
-
getProvider(
String moduleMember) → ProviderResource? -
Returns provider for
moduleMember's package, if configured.inherited -
getResourceName(
) → String -
Returns this resource's logical name.
inherited
-
getResourceType(
) → String -
Returns this resource's Pulumi type token.
inherited
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
registerOutput<
T> (String propertyName, {Object? decoder(Object?)?, bool isSecret = false}) → Output< T> -
Registers a dynamic output property for this resource.
inherited
-
resolveId(
String? value, {required bool isKnown}) → void -
Resolves the provider-assigned ID for this resource.
inherited
-
resolveOutputs(
Struct outputs) → void -
Resolves all output properties from a monitor response payload.
inherited
-
resolveUrn(
String value) → void -
Resolves this resource's URN once assigned by the engine.
inherited
-
serializeProperties(
Map< String, dynamic> properties) → Future<Struct> -
Serializes resource properties for RPC transmission.
inherited
-
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited
Static Methods
-
get(
String name, Input< String> id, {DataPolicyState? state, CustomResourceOptions? options}) → DataPolicy -
Gets an existing DataPolicy resource's state with the given
nameandid.