published on Monday, Mar 9, 2026 by Pulumi
published on Monday, Mar 9, 2026 by Pulumi
Private Preview This feature is in Private Preview. Contact your Databricks representative to request access.
A single databricks.Metastore can be shared across Databricks workspaces, and each linked workspace has a consistent view of the data and a single set of access policies. It is only recommended to have multiple metastores when organizations wish to have hard isolation boundaries between data (note that data cannot be easily joined/queried across metastores).
Example Usage
using Pulumi;
using Databricks = Pulumi.Databricks;
class MyStack : Stack
{
public MyStack()
{
var thisMetastore = new Databricks.Metastore("thisMetastore", new Databricks.MetastoreArgs
{
StorageRoot = $"s3://{aws_s3_bucket.Metastore.Id}/metastore",
Owner = "uc admins",
ForceDestroy = true,
});
var thisMetastoreAssignment = new Databricks.MetastoreAssignment("thisMetastoreAssignment", new Databricks.MetastoreAssignmentArgs
{
MetastoreId = thisMetastore.Id,
WorkspaceId = local.Workspace_id,
});
}
}
package main
import (
"fmt"
"github.com/pulumi/pulumi-databricks/sdk/go/databricks"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
thisMetastore, err := databricks.NewMetastore(ctx, "thisMetastore", &databricks.MetastoreArgs{
StorageRoot: pulumi.String(fmt.Sprintf("%v%v%v", "s3://", aws_s3_bucket.Metastore.Id, "/metastore")),
Owner: pulumi.String("uc admins"),
ForceDestroy: pulumi.Bool(true),
})
if err != nil {
return err
}
_, err = databricks.NewMetastoreAssignment(ctx, "thisMetastoreAssignment", &databricks.MetastoreAssignmentArgs{
MetastoreId: thisMetastore.ID(),
WorkspaceId: pulumi.Any(local.Workspace_id),
})
if err != nil {
return err
}
return nil
})
}
Example coming soon!
import * as pulumi from "@pulumi/pulumi";
import * as databricks from "@pulumi/databricks";
const thisMetastore = new databricks.Metastore("thisMetastore", {
storageRoot: `s3://${aws_s3_bucket.metastore.id}/metastore`,
owner: "uc admins",
forceDestroy: true,
});
const thisMetastoreAssignment = new databricks.MetastoreAssignment("thisMetastoreAssignment", {
metastoreId: thisMetastore.id,
workspaceId: local.workspace_id,
});
import pulumi
import pulumi_databricks as databricks
this_metastore = databricks.Metastore("thisMetastore",
storage_root=f"s3://{aws_s3_bucket['metastore']['id']}/metastore",
owner="uc admins",
force_destroy=True)
this_metastore_assignment = databricks.MetastoreAssignment("thisMetastoreAssignment",
metastore_id=this_metastore.id,
workspace_id=local["workspace_id"])
Example coming soon!
Create MetastoreAssignment Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new MetastoreAssignment(name: string, args: MetastoreAssignmentArgs, opts?: CustomResourceOptions);@overload
def MetastoreAssignment(resource_name: str,
args: MetastoreAssignmentArgs,
opts: Optional[ResourceOptions] = None)
@overload
def MetastoreAssignment(resource_name: str,
opts: Optional[ResourceOptions] = None,
metastore_id: Optional[str] = None,
workspace_id: Optional[int] = None,
default_catalog_name: Optional[str] = None)func NewMetastoreAssignment(ctx *Context, name string, args MetastoreAssignmentArgs, opts ...ResourceOption) (*MetastoreAssignment, error)public MetastoreAssignment(string name, MetastoreAssignmentArgs args, CustomResourceOptions? opts = null)
public MetastoreAssignment(String name, MetastoreAssignmentArgs args)
public MetastoreAssignment(String name, MetastoreAssignmentArgs args, CustomResourceOptions options)
type: databricks:MetastoreAssignment
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 MetastoreAssignmentArgs
- 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 MetastoreAssignmentArgs
- 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 MetastoreAssignmentArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args MetastoreAssignmentArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args MetastoreAssignmentArgs
- 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 metastoreAssignmentResource = new Databricks.MetastoreAssignment("metastoreAssignmentResource", new()
{
MetastoreId = "string",
WorkspaceId = 0,
DefaultCatalogName = "string",
});
example, err := databricks.NewMetastoreAssignment(ctx, "metastoreAssignmentResource", &databricks.MetastoreAssignmentArgs{
MetastoreId: pulumi.String("string"),
WorkspaceId: pulumi.Int(0),
DefaultCatalogName: pulumi.String("string"),
})
var metastoreAssignmentResource = new MetastoreAssignment("metastoreAssignmentResource", MetastoreAssignmentArgs.builder()
.metastoreId("string")
.workspaceId(0)
.defaultCatalogName("string")
.build());
metastore_assignment_resource = databricks.MetastoreAssignment("metastoreAssignmentResource",
metastore_id="string",
workspace_id=0,
default_catalog_name="string")
const metastoreAssignmentResource = new databricks.MetastoreAssignment("metastoreAssignmentResource", {
metastoreId: "string",
workspaceId: 0,
defaultCatalogName: "string",
});
type: databricks:MetastoreAssignment
properties:
defaultCatalogName: string
metastoreId: string
workspaceId: 0
MetastoreAssignment 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 MetastoreAssignment resource accepts the following input properties:
- Metastore
Id string - Unique identifier of the parent Metastore
- Workspace
Id int - id of the workspace for the assignment
- Default
Catalog stringName - Default catalog used for this assignment, default to
hive_metastore
- Metastore
Id string - Unique identifier of the parent Metastore
- Workspace
Id int - id of the workspace for the assignment
- Default
Catalog stringName - Default catalog used for this assignment, default to
hive_metastore
- metastore
Id String - Unique identifier of the parent Metastore
- workspace
Id Integer - id of the workspace for the assignment
- default
Catalog StringName - Default catalog used for this assignment, default to
hive_metastore
- metastore
Id string - Unique identifier of the parent Metastore
- workspace
Id number - id of the workspace for the assignment
- default
Catalog stringName - Default catalog used for this assignment, default to
hive_metastore
- metastore_
id str - Unique identifier of the parent Metastore
- workspace_
id int - id of the workspace for the assignment
- default_
catalog_ strname - Default catalog used for this assignment, default to
hive_metastore
- metastore
Id String - Unique identifier of the parent Metastore
- workspace
Id Number - id of the workspace for the assignment
- default
Catalog StringName - Default catalog used for this assignment, default to
hive_metastore
Outputs
All input properties are implicitly available as output properties. Additionally, the MetastoreAssignment resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- Id string
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
- id string
- The provider-assigned unique ID for this managed resource.
- id str
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
Look up Existing MetastoreAssignment Resource
Get an existing MetastoreAssignment 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?: MetastoreAssignmentState, opts?: CustomResourceOptions): MetastoreAssignment@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
default_catalog_name: Optional[str] = None,
metastore_id: Optional[str] = None,
workspace_id: Optional[int] = None) -> MetastoreAssignmentfunc GetMetastoreAssignment(ctx *Context, name string, id IDInput, state *MetastoreAssignmentState, opts ...ResourceOption) (*MetastoreAssignment, error)public static MetastoreAssignment Get(string name, Input<string> id, MetastoreAssignmentState? state, CustomResourceOptions? opts = null)public static MetastoreAssignment get(String name, Output<String> id, MetastoreAssignmentState state, CustomResourceOptions options)resources: _: type: databricks:MetastoreAssignment 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.
- Default
Catalog stringName - Default catalog used for this assignment, default to
hive_metastore - Metastore
Id string - Unique identifier of the parent Metastore
- Workspace
Id int - id of the workspace for the assignment
- Default
Catalog stringName - Default catalog used for this assignment, default to
hive_metastore - Metastore
Id string - Unique identifier of the parent Metastore
- Workspace
Id int - id of the workspace for the assignment
- default
Catalog StringName - Default catalog used for this assignment, default to
hive_metastore - metastore
Id String - Unique identifier of the parent Metastore
- workspace
Id Integer - id of the workspace for the assignment
- default
Catalog stringName - Default catalog used for this assignment, default to
hive_metastore - metastore
Id string - Unique identifier of the parent Metastore
- workspace
Id number - id of the workspace for the assignment
- default_
catalog_ strname - Default catalog used for this assignment, default to
hive_metastore - metastore_
id str - Unique identifier of the parent Metastore
- workspace_
id int - id of the workspace for the assignment
- default
Catalog StringName - Default catalog used for this assignment, default to
hive_metastore - metastore
Id String - Unique identifier of the parent Metastore
- workspace
Id Number - id of the workspace for the assignment
Package Details
- Repository
- databricks pulumi/pulumi-databricks
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
databricksTerraform Provider.
published on Monday, Mar 9, 2026 by Pulumi
