Hereโs an example of how you can define a databricks_metastore
resource in your Terraform configuration:
data "databricks_metastore" "metastore" {
name = "metastore-name"
storage_root = "s3://${aws_s3_bucket.metastore.id}/metastore" # Specify the cloud storage path
owner = "uc admins" # Set the owner (username/groupname/sp application_id)
region = "us-east-1" # Specify the region
force_destroy = true # Enable force destroy if needed
}
In this example:
name
: Provide a unique name for your metastore.
storage_root
: Define the path on your cloud storage account where managed Databricks tables are stored. If no storage_root
is defined for the metastore, each catalog must have its own storage root.
owner
: Specify the owner of the metastore (e.g., user, group, or application ID).
region
: Set the region where the metastore resides.
force_destroy
: Enable this option if you want to allow forceful destruction of the resource.
Once youโve created the metastore, you can reference it in another Terraform project by using its ID. For example, if you have a separate Terraform configuration where you need to use this metastore, you can retrieve its ID and use it as follows:
resource "databricks_metastore_assignment" "this" {
metastore_id = databricks_metastore.metastore.id
workspace_id = local.workspace_id # Specify the workspace ID where you want to assign the metastore
}
Replace local.workspace_id
with the actual workspace ID where you want to use this metastore. This assignment ensures that the metastore is associated with the appropriate Databricks workspace1.
Remember to adjust the configuration according to your specific cloud provider (AWS, Azure, or GCP) and workspace requirements. If you encounter any issues or need further assistance, feel free to ask!