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Google Cloud v9.0.0 published on Thursday, Sep 18, 2025 by Pulumi
pulumi/pulumi-gcp

gcp.vertex.AiFeatureStoreEntityTypeIamPolicy

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Google Cloud v9.0.0 published on Thursday, Sep 18, 2025 by Pulumi
pulumi/pulumi-gcp

    Three different resources help you manage your IAM policy for Vertex AI FeaturestoreEntitytype. Each of these resources serves a different use case:

    • gcp.vertex.AiFeatureStoreEntityTypeIamPolicy: Authoritative. Sets the IAM policy for the featurestoreentitytype and replaces any existing policy already attached.
    • gcp.vertex.AiFeatureStoreEntityTypeIamBinding: Authoritative for a given role. Updates the IAM policy to grant a role to a list of members. Other roles within the IAM policy for the featurestoreentitytype are preserved.
    • gcp.vertex.AiFeatureStoreEntityTypeIamMember: Non-authoritative. Updates the IAM policy to grant a role to a new member. Other members for the role for the featurestoreentitytype are preserved.

    A data source can be used to retrieve policy data in advent you do not need creation

    • gcp.vertex.AiFeatureStoreEntityTypeIamPolicy: Retrieves the IAM policy for the featurestoreentitytype

    Note: gcp.vertex.AiFeatureStoreEntityTypeIamPolicy cannot be used in conjunction with gcp.vertex.AiFeatureStoreEntityTypeIamBinding and gcp.vertex.AiFeatureStoreEntityTypeIamMember or they will fight over what your policy should be.

    Note: gcp.vertex.AiFeatureStoreEntityTypeIamBinding resources can be used in conjunction with gcp.vertex.AiFeatureStoreEntityTypeIamMember resources only if they do not grant privilege to the same role.

    gcp.vertex.AiFeatureStoreEntityTypeIamPolicy

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const admin = gcp.organizations.getIAMPolicy({
    bindings: [{
        role: "roles/viewer",
        members: ["user:jane@example.com"],
    }],
});
const policy = new gcp.vertex.AiFeatureStoreEntityTypeIamPolicy("policy", {
    featurestore: entity.featurestore,
    entitytype: entity.name,
    policyData: admin.then(admin => admin.policyData),
});

    import pulumi
import pulumi_gcp as gcp

admin = gcp.organizations.get_iam_policy(bindings=[{
    "role": "roles/viewer",
    "members": ["user:jane@example.com"],
}])
policy = gcp.vertex.AiFeatureStoreEntityTypeIamPolicy("policy",
    featurestore=entity["featurestore"],
    entitytype=entity["name"],
    policy_data=admin.policy_data)

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/organizations"
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		admin, err := organizations.LookupIAMPolicy(ctx, &organizations.LookupIAMPolicyArgs{
			Bindings: []organizations.GetIAMPolicyBinding{
				{
					Role: "roles/viewer",
					Members: []string{
						"user:jane@example.com",
					},
				},
			},
		}, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreEntityTypeIamPolicy(ctx, "policy", &vertex.AiFeatureStoreEntityTypeIamPolicyArgs{
			Featurestore: pulumi.Any(entity.Featurestore),
			Entitytype:   pulumi.Any(entity.Name),
			PolicyData:   pulumi.String(admin.PolicyData),
		})
		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 admin = Gcp.Organizations.GetIAMPolicy.Invoke(new()
    {
        Bindings = new[]
        {
            new Gcp.Organizations.Inputs.GetIAMPolicyBindingInputArgs
            {
                Role = "roles/viewer",
                Members = new[]
                {
                    "user:jane@example.com",
                },
            },
        },
    });

    var policy = new Gcp.Vertex.AiFeatureStoreEntityTypeIamPolicy("policy", new()
    {
        Featurestore = entity.Featurestore,
        Entitytype = entity.Name,
        PolicyData = admin.Apply(getIAMPolicyResult => getIAMPolicyResult.PolicyData),
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.organizations.OrganizationsFunctions;
import com.pulumi.gcp.organizations.inputs.GetIAMPolicyArgs;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeIamPolicy;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeIamPolicyArgs;
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) {
        final var admin = OrganizationsFunctions.getIAMPolicy(GetIAMPolicyArgs.builder()
            .bindings(GetIAMPolicyBindingArgs.builder()
                .role("roles/viewer")
                .members("user:jane@example.com")
                .build())
            .build());

        var policy = new AiFeatureStoreEntityTypeIamPolicy("policy", AiFeatureStoreEntityTypeIamPolicyArgs.builder()
            .featurestore(entity.featurestore())
            .entitytype(entity.name())
            .policyData(admin.policyData())
            .build());

    }
}

    resources:
  policy:
    type: gcp:vertex:AiFeatureStoreEntityTypeIamPolicy
    properties:
      featurestore: ${entity.featurestore}
      entitytype: ${entity.name}
      policyData: ${admin.policyData}
variables:
  admin:
    fn::invoke:
      function: gcp:organizations:getIAMPolicy
      arguments:
        bindings:
          - role: roles/viewer
            members:
              - user:jane@example.com

    gcp.vertex.AiFeatureStoreEntityTypeIamBinding

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const binding = new gcp.vertex.AiFeatureStoreEntityTypeIamBinding("binding", {
    featurestore: entity.featurestore,
    entitytype: entity.name,
    role: "roles/viewer",
    members: ["user:jane@example.com"],
});

    import pulumi
import pulumi_gcp as gcp

binding = gcp.vertex.AiFeatureStoreEntityTypeIamBinding("binding",
    featurestore=entity["featurestore"],
    entitytype=entity["name"],
    role="roles/viewer",
    members=["user:jane@example.com"])

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStoreEntityTypeIamBinding(ctx, "binding", &vertex.AiFeatureStoreEntityTypeIamBindingArgs{
			Featurestore: pulumi.Any(entity.Featurestore),
			Entitytype:   pulumi.Any(entity.Name),
			Role:         pulumi.String("roles/viewer"),
			Members: pulumi.StringArray{
				pulumi.String("user:jane@example.com"),
			},
		})
		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 binding = new Gcp.Vertex.AiFeatureStoreEntityTypeIamBinding("binding", new()
    {
        Featurestore = entity.Featurestore,
        Entitytype = entity.Name,
        Role = "roles/viewer",
        Members = new[]
        {
            "user:jane@example.com",
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeIamBinding;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeIamBindingArgs;
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 binding = new AiFeatureStoreEntityTypeIamBinding("binding", AiFeatureStoreEntityTypeIamBindingArgs.builder()
            .featurestore(entity.featurestore())
            .entitytype(entity.name())
            .role("roles/viewer")
            .members("user:jane@example.com")
            .build());

    }
}

    resources:
  binding:
    type: gcp:vertex:AiFeatureStoreEntityTypeIamBinding
    properties:
      featurestore: ${entity.featurestore}
      entitytype: ${entity.name}
      role: roles/viewer
      members:
        - user:jane@example.com

    gcp.vertex.AiFeatureStoreEntityTypeIamMember

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const member = new gcp.vertex.AiFeatureStoreEntityTypeIamMember("member", {
    featurestore: entity.featurestore,
    entitytype: entity.name,
    role: "roles/viewer",
    member: "user:jane@example.com",
});

    import pulumi
import pulumi_gcp as gcp

member = gcp.vertex.AiFeatureStoreEntityTypeIamMember("member",
    featurestore=entity["featurestore"],
    entitytype=entity["name"],
    role="roles/viewer",
    member="user:jane@example.com")

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStoreEntityTypeIamMember(ctx, "member", &vertex.AiFeatureStoreEntityTypeIamMemberArgs{
			Featurestore: pulumi.Any(entity.Featurestore),
			Entitytype:   pulumi.Any(entity.Name),
			Role:         pulumi.String("roles/viewer"),
			Member:       pulumi.String("user:jane@example.com"),
		})
		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 member = new Gcp.Vertex.AiFeatureStoreEntityTypeIamMember("member", new()
    {
        Featurestore = entity.Featurestore,
        Entitytype = entity.Name,
        Role = "roles/viewer",
        Member = "user:jane@example.com",
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeIamMember;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeIamMemberArgs;
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 member = new AiFeatureStoreEntityTypeIamMember("member", AiFeatureStoreEntityTypeIamMemberArgs.builder()
            .featurestore(entity.featurestore())
            .entitytype(entity.name())
            .role("roles/viewer")
            .member("user:jane@example.com")
            .build());

    }
}

    resources:
  member:
    type: gcp:vertex:AiFeatureStoreEntityTypeIamMember
    properties:
      featurestore: ${entity.featurestore}
      entitytype: ${entity.name}
      role: roles/viewer
      member: user:jane@example.com

    > Custom Roles If you’re importing a IAM resource with a custom role, make sure to use the

    full name of the custom role, e.g. [projects/my-project|organizations/my-org]/roles/my-custom-role.

    IAM policy for Vertex AI FeaturestoreEntitytype

    Three different resources help you manage your IAM policy for Vertex AI FeaturestoreEntitytype. Each of these resources serves a different use case:

    • gcp.vertex.AiFeatureStoreEntityTypeIamPolicy: Authoritative. Sets the IAM policy for the featurestoreentitytype and replaces any existing policy already attached.
    • gcp.vertex.AiFeatureStoreEntityTypeIamBinding: Authoritative for a given role. Updates the IAM policy to grant a role to a list of members. Other roles within the IAM policy for the featurestoreentitytype are preserved.
    • gcp.vertex.AiFeatureStoreEntityTypeIamMember: Non-authoritative. Updates the IAM policy to grant a role to a new member. Other members for the role for the featurestoreentitytype are preserved.

    A data source can be used to retrieve policy data in advent you do not need creation

    • gcp.vertex.AiFeatureStoreEntityTypeIamPolicy: Retrieves the IAM policy for the featurestoreentitytype

    Note: gcp.vertex.AiFeatureStoreEntityTypeIamPolicy cannot be used in conjunction with gcp.vertex.AiFeatureStoreEntityTypeIamBinding and gcp.vertex.AiFeatureStoreEntityTypeIamMember or they will fight over what your policy should be.

    Note: gcp.vertex.AiFeatureStoreEntityTypeIamBinding resources can be used in conjunction with gcp.vertex.AiFeatureStoreEntityTypeIamMember resources only if they do not grant privilege to the same role.

    gcp.vertex.AiFeatureStoreEntityTypeIamPolicy

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const admin = gcp.organizations.getIAMPolicy({
    bindings: [{
        role: "roles/viewer",
        members: ["user:jane@example.com"],
    }],
});
const policy = new gcp.vertex.AiFeatureStoreEntityTypeIamPolicy("policy", {
    featurestore: entity.featurestore,
    entitytype: entity.name,
    policyData: admin.then(admin => admin.policyData),
});

    import pulumi
import pulumi_gcp as gcp

admin = gcp.organizations.get_iam_policy(bindings=[{
    "role": "roles/viewer",
    "members": ["user:jane@example.com"],
}])
policy = gcp.vertex.AiFeatureStoreEntityTypeIamPolicy("policy",
    featurestore=entity["featurestore"],
    entitytype=entity["name"],
    policy_data=admin.policy_data)

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/organizations"
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		admin, err := organizations.LookupIAMPolicy(ctx, &organizations.LookupIAMPolicyArgs{
			Bindings: []organizations.GetIAMPolicyBinding{
				{
					Role: "roles/viewer",
					Members: []string{
						"user:jane@example.com",
					},
				},
			},
		}, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreEntityTypeIamPolicy(ctx, "policy", &vertex.AiFeatureStoreEntityTypeIamPolicyArgs{
			Featurestore: pulumi.Any(entity.Featurestore),
			Entitytype:   pulumi.Any(entity.Name),
			PolicyData:   pulumi.String(admin.PolicyData),
		})
		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 admin = Gcp.Organizations.GetIAMPolicy.Invoke(new()
    {
        Bindings = new[]
        {
            new Gcp.Organizations.Inputs.GetIAMPolicyBindingInputArgs
            {
                Role = "roles/viewer",
                Members = new[]
                {
                    "user:jane@example.com",
                },
            },
        },
    });

    var policy = new Gcp.Vertex.AiFeatureStoreEntityTypeIamPolicy("policy", new()
    {
        Featurestore = entity.Featurestore,
        Entitytype = entity.Name,
        PolicyData = admin.Apply(getIAMPolicyResult => getIAMPolicyResult.PolicyData),
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.organizations.OrganizationsFunctions;
import com.pulumi.gcp.organizations.inputs.GetIAMPolicyArgs;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeIamPolicy;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeIamPolicyArgs;
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) {
        final var admin = OrganizationsFunctions.getIAMPolicy(GetIAMPolicyArgs.builder()
            .bindings(GetIAMPolicyBindingArgs.builder()
                .role("roles/viewer")
                .members("user:jane@example.com")
                .build())
            .build());

        var policy = new AiFeatureStoreEntityTypeIamPolicy("policy", AiFeatureStoreEntityTypeIamPolicyArgs.builder()
            .featurestore(entity.featurestore())
            .entitytype(entity.name())
            .policyData(admin.policyData())
            .build());

    }
}

    resources:
  policy:
    type: gcp:vertex:AiFeatureStoreEntityTypeIamPolicy
    properties:
      featurestore: ${entity.featurestore}
      entitytype: ${entity.name}
      policyData: ${admin.policyData}
variables:
  admin:
    fn::invoke:
      function: gcp:organizations:getIAMPolicy
      arguments:
        bindings:
          - role: roles/viewer
            members:
              - user:jane@example.com

    gcp.vertex.AiFeatureStoreEntityTypeIamBinding

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const binding = new gcp.vertex.AiFeatureStoreEntityTypeIamBinding("binding", {
    featurestore: entity.featurestore,
    entitytype: entity.name,
    role: "roles/viewer",
    members: ["user:jane@example.com"],
});

    import pulumi
import pulumi_gcp as gcp

binding = gcp.vertex.AiFeatureStoreEntityTypeIamBinding("binding",
    featurestore=entity["featurestore"],
    entitytype=entity["name"],
    role="roles/viewer",
    members=["user:jane@example.com"])

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStoreEntityTypeIamBinding(ctx, "binding", &vertex.AiFeatureStoreEntityTypeIamBindingArgs{
			Featurestore: pulumi.Any(entity.Featurestore),
			Entitytype:   pulumi.Any(entity.Name),
			Role:         pulumi.String("roles/viewer"),
			Members: pulumi.StringArray{
				pulumi.String("user:jane@example.com"),
			},
		})
		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 binding = new Gcp.Vertex.AiFeatureStoreEntityTypeIamBinding("binding", new()
    {
        Featurestore = entity.Featurestore,
        Entitytype = entity.Name,
        Role = "roles/viewer",
        Members = new[]
        {
            "user:jane@example.com",
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeIamBinding;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeIamBindingArgs;
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 binding = new AiFeatureStoreEntityTypeIamBinding("binding", AiFeatureStoreEntityTypeIamBindingArgs.builder()
            .featurestore(entity.featurestore())
            .entitytype(entity.name())
            .role("roles/viewer")
            .members("user:jane@example.com")
            .build());

    }
}

    resources:
  binding:
    type: gcp:vertex:AiFeatureStoreEntityTypeIamBinding
    properties:
      featurestore: ${entity.featurestore}
      entitytype: ${entity.name}
      role: roles/viewer
      members:
        - user:jane@example.com

    gcp.vertex.AiFeatureStoreEntityTypeIamMember

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const member = new gcp.vertex.AiFeatureStoreEntityTypeIamMember("member", {
    featurestore: entity.featurestore,
    entitytype: entity.name,
    role: "roles/viewer",
    member: "user:jane@example.com",
});

    import pulumi
import pulumi_gcp as gcp

member = gcp.vertex.AiFeatureStoreEntityTypeIamMember("member",
    featurestore=entity["featurestore"],
    entitytype=entity["name"],
    role="roles/viewer",
    member="user:jane@example.com")

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStoreEntityTypeIamMember(ctx, "member", &vertex.AiFeatureStoreEntityTypeIamMemberArgs{
			Featurestore: pulumi.Any(entity.Featurestore),
			Entitytype:   pulumi.Any(entity.Name),
			Role:         pulumi.String("roles/viewer"),
			Member:       pulumi.String("user:jane@example.com"),
		})
		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 member = new Gcp.Vertex.AiFeatureStoreEntityTypeIamMember("member", new()
    {
        Featurestore = entity.Featurestore,
        Entitytype = entity.Name,
        Role = "roles/viewer",
        Member = "user:jane@example.com",
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeIamMember;
import com.pulumi.gcp.vertex.AiFeatureStoreEntityTypeIamMemberArgs;
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 member = new AiFeatureStoreEntityTypeIamMember("member", AiFeatureStoreEntityTypeIamMemberArgs.builder()
            .featurestore(entity.featurestore())
            .entitytype(entity.name())
            .role("roles/viewer")
            .member("user:jane@example.com")
            .build());

    }
}

    resources:
  member:
    type: gcp:vertex:AiFeatureStoreEntityTypeIamMember
    properties:
      featurestore: ${entity.featurestore}
      entitytype: ${entity.name}
      role: roles/viewer
      member: user:jane@example.com

    Create AiFeatureStoreEntityTypeIamPolicy Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new AiFeatureStoreEntityTypeIamPolicy(name: string, args: AiFeatureStoreEntityTypeIamPolicyArgs, opts?: CustomResourceOptions);
    @overload
def AiFeatureStoreEntityTypeIamPolicy(resource_name: str,
                                      args: AiFeatureStoreEntityTypeIamPolicyArgs,
                                      opts: Optional[ResourceOptions] = None)

@overload
def AiFeatureStoreEntityTypeIamPolicy(resource_name: str,
                                      opts: Optional[ResourceOptions] = None,
                                      entitytype: Optional[str] = None,
                                      featurestore: Optional[str] = None,
                                      policy_data: Optional[str] = None)
    func NewAiFeatureStoreEntityTypeIamPolicy(ctx *Context, name string, args AiFeatureStoreEntityTypeIamPolicyArgs, opts ...ResourceOption) (*AiFeatureStoreEntityTypeIamPolicy, error)
    public AiFeatureStoreEntityTypeIamPolicy(string name, AiFeatureStoreEntityTypeIamPolicyArgs args, CustomResourceOptions? opts = null)
    public AiFeatureStoreEntityTypeIamPolicy(String name, AiFeatureStoreEntityTypeIamPolicyArgs args)
public AiFeatureStoreEntityTypeIamPolicy(String name, AiFeatureStoreEntityTypeIamPolicyArgs args, CustomResourceOptions options)

    type: gcp:vertex:AiFeatureStoreEntityTypeIamPolicy
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 AiFeatureStoreEntityTypeIamPolicyArgs
    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 AiFeatureStoreEntityTypeIamPolicyArgs
    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 AiFeatureStoreEntityTypeIamPolicyArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args AiFeatureStoreEntityTypeIamPolicyArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args AiFeatureStoreEntityTypeIamPolicyArgs
    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 aiFeatureStoreEntityTypeIamPolicyResource = new Gcp.Vertex.AiFeatureStoreEntityTypeIamPolicy("aiFeatureStoreEntityTypeIamPolicyResource", new()
{
    Entitytype = "string",
    Featurestore = "string",
    PolicyData = "string",
});

    example, err := vertex.NewAiFeatureStoreEntityTypeIamPolicy(ctx, "aiFeatureStoreEntityTypeIamPolicyResource", &vertex.AiFeatureStoreEntityTypeIamPolicyArgs{
	Entitytype:   pulumi.String("string"),
	Featurestore: pulumi.String("string"),
	PolicyData:   pulumi.String("string"),
})

    var aiFeatureStoreEntityTypeIamPolicyResource = new AiFeatureStoreEntityTypeIamPolicy("aiFeatureStoreEntityTypeIamPolicyResource", AiFeatureStoreEntityTypeIamPolicyArgs.builder()
    .entitytype("string")
    .featurestore("string")
    .policyData("string")
    .build());

    ai_feature_store_entity_type_iam_policy_resource = gcp.vertex.AiFeatureStoreEntityTypeIamPolicy("aiFeatureStoreEntityTypeIamPolicyResource",
    entitytype="string",
    featurestore="string",
    policy_data="string")

    const aiFeatureStoreEntityTypeIamPolicyResource = new gcp.vertex.AiFeatureStoreEntityTypeIamPolicy("aiFeatureStoreEntityTypeIamPolicyResource", {
    entitytype: "string",
    featurestore: "string",
    policyData: "string",
});

    type: gcp:vertex:AiFeatureStoreEntityTypeIamPolicy
properties:
    entitytype: string
    featurestore: string
    policyData: string

    AiFeatureStoreEntityTypeIamPolicy 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 AiFeatureStoreEntityTypeIamPolicy resource accepts the following input properties:

    Entitytype string
    Used to find the parent resource to bind the IAM policy to
    Featurestore string
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
    PolicyData string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    Entitytype string
    Used to find the parent resource to bind the IAM policy to
    Featurestore string
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
    PolicyData string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    entitytype String
    Used to find the parent resource to bind the IAM policy to
    featurestore String
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
    policyData String
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    entitytype string
    Used to find the parent resource to bind the IAM policy to
    featurestore string
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
    policyData string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    entitytype str
    Used to find the parent resource to bind the IAM policy to
    featurestore str
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
    policy_data str
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    entitytype String
    Used to find the parent resource to bind the IAM policy to
    featurestore String
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
    policyData String
    The policy data generated by a gcp.organizations.getIAMPolicy data source.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the AiFeatureStoreEntityTypeIamPolicy resource produces the following output properties:

    Etag string
    (Computed) The etag of the IAM policy.
    Id string
    The provider-assigned unique ID for this managed resource.
    Etag string
    (Computed) The etag of the IAM policy.
    Id string
    The provider-assigned unique ID for this managed resource.
    etag String
    (Computed) The etag of the IAM policy.
    id String
    The provider-assigned unique ID for this managed resource.
    etag string
    (Computed) The etag of the IAM policy.
    id string
    The provider-assigned unique ID for this managed resource.
    etag str
    (Computed) The etag of the IAM policy.
    id str
    The provider-assigned unique ID for this managed resource.
    etag String
    (Computed) The etag of the IAM policy.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing AiFeatureStoreEntityTypeIamPolicy Resource

    Get an existing AiFeatureStoreEntityTypeIamPolicy 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?: AiFeatureStoreEntityTypeIamPolicyState, opts?: CustomResourceOptions): AiFeatureStoreEntityTypeIamPolicy
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        entitytype: Optional[str] = None,
        etag: Optional[str] = None,
        featurestore: Optional[str] = None,
        policy_data: Optional[str] = None) -> AiFeatureStoreEntityTypeIamPolicy
    func GetAiFeatureStoreEntityTypeIamPolicy(ctx *Context, name string, id IDInput, state *AiFeatureStoreEntityTypeIamPolicyState, opts ...ResourceOption) (*AiFeatureStoreEntityTypeIamPolicy, error)
    public static AiFeatureStoreEntityTypeIamPolicy Get(string name, Input<string> id, AiFeatureStoreEntityTypeIamPolicyState? state, CustomResourceOptions? opts = null)
    public static AiFeatureStoreEntityTypeIamPolicy get(String name, Output<String> id, AiFeatureStoreEntityTypeIamPolicyState state, CustomResourceOptions options)
    resources:  _:    type: gcp:vertex:AiFeatureStoreEntityTypeIamPolicy    get:      id: ${id}
    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.
    The following state arguments are supported:
    Entitytype string
    Used to find the parent resource to bind the IAM policy to
    Etag string
    (Computed) The etag of the IAM policy.
    Featurestore string
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
    PolicyData string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    Entitytype string
    Used to find the parent resource to bind the IAM policy to
    Etag string
    (Computed) The etag of the IAM policy.
    Featurestore string
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
    PolicyData string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    entitytype String
    Used to find the parent resource to bind the IAM policy to
    etag String
    (Computed) The etag of the IAM policy.
    featurestore String
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
    policyData String
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    entitytype string
    Used to find the parent resource to bind the IAM policy to
    etag string
    (Computed) The etag of the IAM policy.
    featurestore string
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
    policyData string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    entitytype str
    Used to find the parent resource to bind the IAM policy to
    etag str
    (Computed) The etag of the IAM policy.
    featurestore str
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
    policy_data str
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    entitytype String
    Used to find the parent resource to bind the IAM policy to
    etag String
    (Computed) The etag of the IAM policy.
    featurestore String
    The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
    policyData String
    The policy data generated by a gcp.organizations.getIAMPolicy data source.

    Import

    For all import syntaxes, the “resource in question” can take any of the following forms:

    • {{featurestore}}/entityTypes/{{name}}

    • {{name}}

    Any variables not passed in the import command will be taken from the provider configuration.

    Vertex AI featurestoreentitytype IAM resources can be imported using the resource identifiers, role, and member.

    IAM member imports use space-delimited identifiers: the resource in question, the role, and the member identity, e.g.

    $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamPolicy:AiFeatureStoreEntityTypeIamPolicy editor "{{featurestore}}/entityTypes/{{featurestore_entitytype}} roles/viewer user:jane@example.com"

    IAM binding imports use space-delimited identifiers: the resource in question and the role, e.g.

    $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamPolicy:AiFeatureStoreEntityTypeIamPolicy editor "{{featurestore}}/entityTypes/{{featurestore_entitytype}} roles/viewer"

    IAM policy imports use the identifier of the resource in question, e.g.

    $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamPolicy:AiFeatureStoreEntityTypeIamPolicy editor {{featurestore}}/entityTypes/{{featurestore_entitytype}}

    -> Custom Roles If you’re importing a IAM resource with a custom role, make sure to use the

    full name of the custom role, e.g. [projects/my-project|organizations/my-org]/roles/my-custom-role.

    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.
    gcp logo
    Google Cloud v9.0.0 published on Thursday, Sep 18, 2025 by Pulumi
    pulumi/pulumi-gcp