https://github.com/tomarv2/terraform-databricks-workspace-management

Terraform module for Databricks Workspace Management: https://registry.terraform.io/providers/databrickslabs/databricks/latest/docs/guides/workspace-management
https://github.com/tomarv2/terraform-databricks-workspace-management
databricks databricks-deploy databricks-workspace databricks-workspace-management notebook terraform terraform-module
Last synced: 3 months ago
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Terraform module for Databricks Workspace Management: https://registry.terraform.io/providers/databrickslabs/databricks/latest/docs/guides/workspace-management
Host: GitHub
URL: https://github.com/tomarv2/terraform-databricks-workspace-management
Owner: tomarv2
License: apache-2.0
Created: 2021-02-25T17:37:21.000Z (over 4 years ago)
Default Branch: main
Last Pushed: 2022-11-07T12:11:15.000Z (over 2 years ago)
Last Synced: 2025-03-22T15:49:52.631Z (3 months ago)
Topics: databricks, databricks-deploy, databricks-workspace, databricks-workspace-management, notebook, terraform, terraform-module
Language: HCL
Homepage:
Size: 1.31 MB
Stars: 10
Watchers: 2
Forks: 7
Open Issues: 1
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
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README

        


    

        

    

        

    

        

    

        

    

        

    

        



## Terraform module for [Databricks Workspace Management (Part 2)](https://registry.terraform.io/providers/databricks/databricks/latest/docs/guides/workspace-management)

> ❗️ **Important**

>

> :point_right: This module assumes you have Databricks Workspace [AWS](https://github.com/tomarv2/terraform-databricks-workspace) or Azure already deployed.

>

> :point_right: Workspace URL

>

> :point_right: DAPI Token

## Versions

- Module tested for Terraform 1.0.1.

- `databricks/databricks` provider version [1.3.1](https://registry.terraform.io/providers/databricks/databricks/latest)

- AWS provider version [4.14](https://registry.terraform.io/providers/hashicorp/aws/latest).

- `main` branch: Provider versions not pinned to keep up with Terraform releases.

- `tags` releases: Tags are pinned with versions (use 

        ).



    



## What this module does?

### [Deploy Cluster](examples/clusters)

- This is where you would normally start with if you have just deployed your databricks workspace.

Two cluster modes are supported by this module:

- `Single Node` mode: To deploy cluster in Single Node mode, update `fixed_value` to `0`:

```

fixed_value         = 0

```

- `Standard` mode: To deploy in Standard mode, two options are available:

```

fixed_value         = 1 or more

```

OR

```

auto_scaling         = [1,3]

```

### [Cluster ACL](https://docs.databricks.com/security/access-control/cluster-acl.html)

Cluster can have one of these permissions:  `CAN_ATTACH_TO` , `CAN_RESTART` and `CAN_MANAGE`.

```

cluster_access_control = [

  {

    group_name       = ""

    permission_level = "CAN_RESTART"

  },

  {

    user_name       = ""

    permission_level = "CAN_RESTART"

  }

]

```

### [Cluster Policy](https://docs.databricks.com/administration-guide/clusters/policies.html)

- To build cluster with new cluster policy, use:

```

deploy_cluster_policy = true

policy_overrides = {

  "dbus_per_hour" : {

    "type" : "range",

    "maxValue" : 10

  },

  "autotermination_minutes" : {

    "type" : "fixed",

    "value" : 30,

    "hidden" : true

  }

}

```

- To use existing Cluster policy, specify the existing policy id:

```

cluster_policy_id = "E0123456789"

```

To get existing policy id use:

```

curl -X GET --header "Authorization: Bearer $DAPI_TOKEN"  https:///api/2.0/policies/clusters/list \

--data '{ "sort_order": "DESC", "sort_column": "POLICY_CREATION_TIME" }'

```

### Cluster Policy ACL

```

policy_access_control = [

  {

    group_name       = ""

    permission_level = "CAN_USE"

  },

  {

    user_name       = ""

    permission_level = "CAN_USE"

  }

]

```

### [Instance Pool](https://docs.databricks.com/clusters/instance-pools/index.html)

**Note:** To configure `Instance Pool`, add below configuration:

```

deploy_worker_instance_pool           = true

min_idle_instances                    = 1

max_capacity                          = 5

idle_instance_autotermination_minutes = 30

```

### [Instance Pool ACL](https://docs.databricks.com/security/access-control/pool-acl.html)

Instance pool can have one of these permissions:  `CAN_ATTACH_TO` and `CAN_MANAGE`.

```

instance_pool_access_control = [

  {

    group_name       = ""

    permission_level = "CAN_ATTACH_TO"

  },

  {

    user_name       = ""

    permission_level = "CAN_ATTACH_TO"

  },

]

```

> ❗️ **Important**

>

> If `deploy_worker_instance_pool` is set to `true` and `auto_scaling` is enabled.

> Ensure `max_capacity` of Cluster Instance Pool is more than `auto_scaling` max value for Cluster.

### [Deploy Job](examples/jobs)

Two options are available:

- Deploy Job to an existing cluster.

- Deploy new Cluster and then deploy Job.

Two options are available to attach notebooks to a job:

- Attach existing notebook to a job.

- Create new notebook and attach it to a job.

### [Jobs ACL](https://docs.databricks.com/security/access-control/jobs-acl.html)

Job can have one of these permissions:  `CAN_VIEW`, `CAN_MANAGE_RUN`, `IS_OWNER`, and `CAN_MANAGE`.

Admins have `CAN_MANAGE` permission by default, and they can assign that permission to non-admin users, and service principals.

Job creator has `IS_OWNER` permission. Destroying databricks_permissions resource for a job would revert ownership to the creator.

**Note:**

- A job must have exactly one owner. If resource is changed and no owner is specified, currently authenticated principal would become new owner of the job.

- A job cannot have a **group** as an owner.

- Jobs triggered through Run Now assume the permissions of the job owner and not the user, and service principal who issued Run Now.

```

jobs_access_control = [

  {

    group_name       = ""

    permission_level = "CAN_MANAGE_RUN"

  },

   {

    user_name       = ""

    permission_level = "CAN_MANAGE_RUN"

  }

]

```

### AWS only

### [Instance Profile](https://docs.databricks.com/administration-guide/cloud-configurations/aws/instance-profiles.html)

Add instance profile at cluster creation time. It can control which data a given cluster can access through cloud-native controls.

```

add_instance_profile_to_workspace = true (default false)

aws_attributes = {

    instance_profile_arn = "arn:aws:iam::123456789012:instance-profile/aws-instance-role"

}

```

Note: `add_instance_profile_to_workspace` to add Instance profile to Databricks workspace. To use existing set it to `false`.

### [Deploy Notebook](examples/notebooks)

Put notebooks in notebooks folder and provide below information:

```

  notebooks = [

    {

      name       = "demo_notebook1"

      language   = "PYTHON"

      local_path = "notebooks/sample1.py"

      path       = "/Shared/demo/sample1.py"

    },

    {

      name       = "demo_notebook2"

      local_path = "notebooks/sample2.py"

    }

  ]

```

### Notebook ACL

Notebook can have one of these permissions:  `CAN_READ`, `CAN_RUN`, `CAN_EDIT`, and `CAN_MANAGE`.

```

notebooks_access_control = [

  {

    group_name       = ""

    permission_level = "CAN_MANAGE"

  },

  {

    user_name       = ""

    permission_level = "CAN_MANAGE"

  }

]

```

### [Deploy everything(cluster,job, and notebook):](examples/all)

- Try this: If you want to test what resources are getting deployed.

## Usage

### Option 1:

```

terrafrom init

terraform plan -var='teamid=tryme' -var='prjid=project'

terraform apply -var='teamid=tryme' -var='prjid=project'

terraform destroy -var='teamid=tryme' -var='prjid=project'

```

**Note:** With this option please take care of remote state storage

### Option 2:

#### Recommended method (store remote state in S3 using `prjid` and `teamid` to create directory structure):

- Create python 3.8+ virtual environment

```

python3 -m venv 

```

- Install package:

```

pip install tfremote

```

- Set below environment variables based on cloud provider.

- Updated `examples` directory with required values.

**NOTE:**

- Read more on [tfremote](https://github.com/tomarv2/tfremote)

---

Please refer to examples directory [link](examples) for references.

## Coming up

- [**Storage**](https://registry.terraform.io/providers/databricks/databricks/latest/docs/guides/workspace-management#part-3-storage)

- [**Advanced configuration**](https://registry.terraform.io/providers/databricks/databricks/latest/docs/guides/workspace-management#part-4-advanced-configuration)

- [**Init Script**](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/global_init_script)

## Helpful links

- [Databricks Sync](https://github.com/databricks/databricks-sync) - Tool for multi cloud migrations, DR sync of workspaces. It uses TF in the backend. Run it from command line or from a notebook.

- [Databricks Migrate](https://github.com/databrickslabs/migrate) - Tool to migrate a workspace(One time tool).

- [Databricks CICD Templates](https://github.com/databrickslabs/cicd-templates)

#### Troubleshooting

If you see error messages. Try running the same the command again.

```

Error: Failed to delete token in Scope 

```

```

Error: Scope  does not exist!

```

## Requirements

| Name | Version |

|------|---------|

|  [terraform](#requirement\_terraform) | >= 1.0.1 |

|  [aws](#requirement\_aws) | >= 4.14 |

|  [databricks](#requirement\_databricks) | >= 0.5.7 |

## Providers

| Name | Version |

|------|---------|

|  [databricks](#provider\_databricks) | >= 0.5.7 |

## Modules

No modules.

## Resources

| Name | Type |

|------|------|

| [databricks_cluster.cluster](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/cluster) | resource |

| [databricks_cluster_policy.this](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/cluster_policy) | resource |

| [databricks_group.this](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/group) | resource |

| [databricks_group_member.group_members](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/group_member) | resource |

| [databricks_instance_pool.driver_instance_nodes](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/instance_pool) | resource |

| [databricks_instance_pool.worker_instance_nodes](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/instance_pool) | resource |

| [databricks_instance_profile.shared](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/instance_profile) | resource |

| [databricks_job.existing_cluster_new_job_existing_notebooks](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/job) | resource |

| [databricks_job.existing_cluster_new_job_new_notebooks](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/job) | resource |

| [databricks_job.new_cluster_new_job_existing_notebooks](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/job) | resource |

| [databricks_job.new_cluster_new_job_new_notebooks](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/job) | resource |

| [databricks_library.maven](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/library) | resource |

| [databricks_library.python_wheel](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/library) | resource |

| [databricks_notebook.notebook_file](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/notebook) | resource |

| [databricks_notebook.notebook_file_deployment](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/notebook) | resource |

| [databricks_permissions.cluster](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/permissions) | resource |

| [databricks_permissions.driver_pool](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/permissions) | resource |

| [databricks_permissions.existing_cluster_new_job_existing_notebooks](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/permissions) | resource |

| [databricks_permissions.existing_cluster_new_job_new_notebooks](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/permissions) | resource |

| [databricks_permissions.jobs_notebook](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/permissions) | resource |

| [databricks_permissions.new_cluster_new_job_existing_notebooks](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/permissions) | resource |

| [databricks_permissions.new_cluster_new_job_new_notebooks](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/permissions) | resource |

| [databricks_permissions.notebook](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/permissions) | resource |

| [databricks_permissions.policy](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/permissions) | resource |

| [databricks_permissions.worker_pool](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/permissions) | resource |

| [databricks_secret_acl.spectators](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/secret_acl) | resource |

| [databricks_user.users](https://registry.terraform.io/providers/databricks/databricks/latest/docs/resources/user) | resource |

| [databricks_current_user.me](https://registry.terraform.io/providers/databricks/databricks/latest/docs/data-sources/current_user) | data source |

| [databricks_node_type.cluster_node_type](https://registry.terraform.io/providers/databricks/databricks/latest/docs/data-sources/node_type) | data source |

| [databricks_spark_version.latest](https://registry.terraform.io/providers/databricks/databricks/latest/docs/data-sources/spark_version) | data source |

## Inputs

| Name | Description | Type | Default | Required |

|------|-------------|------|---------|:--------:|

|  [add\_instance\_profile\_to\_workspace](#input\_add\_instance\_profile\_to\_workspace) | Existing AWS instance profile ARN | `bool` | `false` | no |

|  [allow\_cluster\_create](#input\_allow\_cluster\_create) | This is a field to allow the group to have cluster create privileges. More fine grained permissions could be assigned with databricks\_permissions and cluster\_id argument. Everyone without allow\_cluster\_create argument set, but with permission to use Cluster Policy would be able to create clusters, but within boundaries of that specific policy. | `bool` | `true` | no |

|  [allow\_instance\_pool\_create](#input\_allow\_instance\_pool\_create) | This is a field to allow the group to have instance pool create privileges. More fine grained permissions could be assigned with databricks\_permissions and instance\_pool\_id argument. | `bool` | `true` | no |

|  [always\_running](#input\_always\_running) | Whenever the job is always running, like a Spark Streaming application, on every update restart the current active run or start it again, if nothing it is not running. False by default. | `bool` | `false` | no |

|  [auto\_scaling](#input\_auto\_scaling) | Number of min and max workers in auto scale. | `list(any)` | `null` | no |

|  [aws\_attributes](#input\_aws\_attributes) | Optional configuration block contains attributes related to clusters running on AWS. | `any` | `null` | no |

|  [azure\_attributes](#input\_azure\_attributes) | Optional configuration block contains attributes related to clusters running on Azure. | `any` | `null` | no |

|  [category](#input\_category) | Node category, which can be one of: General purpose, Memory optimized, Storage optimized, Compute optimized, GPU | `string` | `"General purpose"` | no |

|  [cluster\_access\_control](#input\_cluster\_access\_control) | Cluster access control | `any` | `null` | no |

|  [cluster\_autotermination\_minutes](#input\_cluster\_autotermination\_minutes) | cluster auto termination duration | `number` | `30` | no |

|  [cluster\_id](#input\_cluster\_id) | Existing cluster id | `string` | `null` | no |

|  [cluster\_name](#input\_cluster\_name) | Cluster name | `string` | `null` | no |

|  [cluster\_policy\_id](#input\_cluster\_policy\_id) | Exiting cluster policy id | `string` | `null` | no |

|  [create\_group](#input\_create\_group) | Create a new group, if group already exists the deployment will fail. | `bool` | `false` | no |

|  [create\_user](#input\_create\_user) | Create a new user, if user already exists the deployment will fail. | `bool` | `false` | no |

|  [custom\_tags](#input\_custom\_tags) | Extra custom tags | `any` | `null` | no |

|  [data\_security\_mode](#input\_data\_security\_mode) | Access mode | `string` | `"NONE"` | no |

|  [databricks\_username](#input\_databricks\_username) | User allowed to access the platform. | `string` | `""` | no |

|  [deploy\_cluster](#input\_deploy\_cluster) | feature flag, true or false | `bool` | `false` | no |

|  [deploy\_cluster\_policy](#input\_deploy\_cluster\_policy) | feature flag, true or false | `bool` | `false` | no |

|  [deploy\_driver\_instance\_pool](#input\_deploy\_driver\_instance\_pool) | Driver instance pool | `bool` | `false` | no |

|  [deploy\_job\_cluster](#input\_deploy\_job\_cluster) | feature flag, true or false | `bool` | `false` | no |

|  [deploy\_jobs](#input\_deploy\_jobs) | feature flag, true or false | `bool` | `false` | no |

|  [deploy\_worker\_instance\_pool](#input\_deploy\_worker\_instance\_pool) | Worker instance pool | `bool` | `false` | no |

|  [driver\_node\_type\_id](#input\_driver\_node\_type\_id) | The node type of the Spark driver. This field is optional; if unset, API will set the driver node type to the same value as node\_type\_id. | `string` | `null` | no |

|  [email\_notifications](#input\_email\_notifications) | Email notification block. | `any` | `null` | no |

|  [fixed\_value](#input\_fixed\_value) | Number of nodes in the cluster. | `number` | `0` | no |

|  [gb\_per\_core](#input\_gb\_per\_core) | Number of gigabytes per core available on instance. Conflicts with min\_memory\_gb. Defaults to 0. | `string` | `0` | no |

|  [gcp\_attributes](#input\_gcp\_attributes) | Optional configuration block contains attributes related to clusters running on GCP. | `any` | `null` | no |

|  [gpu](#input\_gpu) | GPU required or not. | `bool` | `false` | no |

|  [idle\_instance\_autotermination\_minutes](#input\_idle\_instance\_autotermination\_minutes) | idle instance auto termination duration | `number` | `20` | no |

|  [instance\_pool\_access\_control](#input\_instance\_pool\_access\_control) | Instance pool access control | `any` | `null` | no |

|  [jobs\_access\_control](#input\_jobs\_access\_control) | Jobs access control | `any` | `null` | no |

|  [libraries](#input\_libraries) | Installs a library on databricks\_cluster | `map(any)` | `{}` | no |

|  [local\_disk](#input\_local\_disk) | Pick only nodes with local storage. Defaults to false. | `string` | `true` | no |

|  [local\_notebooks](#input\_local\_notebooks) | Local path to the notebook(s) that will be used by the job | `any` | `[]` | no |

|  [max\_capacity](#input\_max\_capacity) | instance pool maximum capacity | `number` | `3` | no |

|  [max\_concurrent\_runs](#input\_max\_concurrent\_runs) | An optional maximum allowed number of concurrent runs of the job. | `number` | `null` | no |

|  [max\_retries](#input\_max\_retries) | An optional maximum number of times to retry an unsuccessful run. A run is considered to be unsuccessful if it completes with a FAILED result\_state or INTERNAL\_ERROR life\_cycle\_state. The value -1 means to retry indefinitely and the value 0 means to never retry. The default behavior is to never retry. | `number` | `0` | no |

|  [min\_cores](#input\_min\_cores) | Minimum number of CPU cores available on instance. Defaults to 0. | `string` | `0` | no |

|  [min\_gpus](#input\_min\_gpus) | Minimum number of GPU's attached to instance. Defaults to 0. | `string` | `0` | no |

|  [min\_idle\_instances](#input\_min\_idle\_instances) | instance pool minimum idle instances | `number` | `1` | no |

|  [min\_memory\_gb](#input\_min\_memory\_gb) | Minimum amount of memory per node in gigabytes. Defaults to 0. | `string` | `0` | no |

|  [min\_retry\_interval\_millis](#input\_min\_retry\_interval\_millis) | An optional minimal interval in milliseconds between the start of the failed run and the subsequent retry run. The default behavior is that unsuccessful runs are immediately retried. | `number` | `null` | no |

|  [ml](#input\_ml) | ML required or not. | `bool` | `false` | no |

|  [notebooks](#input\_notebooks) | Local path to the notebook(s) that will be deployed | `any` | `[]` | no |

|  [notebooks\_access\_control](#input\_notebooks\_access\_control) | Notebook access control | `any` | `null` | no |

|  [policy\_access\_control](#input\_policy\_access\_control) | Policy access control | `any` | `null` | no |

|  [policy\_overrides](#input\_policy\_overrides) | Cluster policy overrides | `any` | `null` | no |

|  [prjid](#input\_prjid) | (Required) Name of the project/stack e.g: mystack, nifieks, demoaci. Should not be changed after running 'tf apply' | `string` | n/a | yes |

|  [remote\_notebooks](#input\_remote\_notebooks) | Path to notebook(s) in the databricks workspace that will be used by the job | `any` | `[]` | no |

|  [retry\_on\_timeout](#input\_retry\_on\_timeout) | An optional policy to specify whether to retry a job when it times out. The default behavior is to not retry on timeout. | `bool` | `false` | no |

|  [schedule](#input\_schedule) | Job schedule configuration. | `map(any)` | `null` | no |

|  [spark\_conf](#input\_spark\_conf) | Map with key-value pairs to fine-tune Spark clusters, where you can provide custom Spark configuration properties in a cluster configuration. | `any` | `null` | no |

|  [spark\_env\_vars](#input\_spark\_env\_vars) | Map with environment variable key-value pairs to fine-tune Spark clusters. Key-value pairs of the form (X,Y) are exported (i.e., X='Y') while launching the driver and workers. | `any` | `null` | no |

|  [spark\_version](#input\_spark\_version) | Runtime version of the cluster. Any supported databricks\_spark\_version id. We advise using Cluster Policies to restrict the list of versions for simplicity while maintaining enough control. | `string` | `null` | no |

|  [task\_parameters](#input\_task\_parameters) | Base parameters to be used for each run of this job. | `map(any)` | `{}` | no |

|  [teamid](#input\_teamid) | (Required) Name of the team/group e.g. devops, dataengineering. Should not be changed after running 'tf apply' | `string` | n/a | yes |

|  [timeout](#input\_timeout) | An optional timeout applied to each run of this job. The default behavior is to have no timeout. | `number` | `null` | no |

|  [worker\_node\_type\_id](#input\_worker\_node\_type\_id) | The node type of the Spark worker. | `string` | `null` | no |

## Outputs

| Name | Description |

|------|-------------|

|  [cluster\_id](#output\_cluster\_id) | databricks cluster id |

|  [cluster\_name](#output\_cluster\_name) | databricks cluster name |

|  [cluster\_policy\_id](#output\_cluster\_policy\_id) | databricks cluster policy permissions |

|  [databricks\_group](#output\_databricks\_group) | databricks group name |

|  [databricks\_group\_member](#output\_databricks\_group\_member) | databricks group members |

|  [databricks\_secret\_acl](#output\_databricks\_secret\_acl) | databricks secret acl |

|  [databricks\_user](#output\_databricks\_user) | databricks user name |

|  [databricks\_user\_id](#output\_databricks\_user\_id) | databricks user id |

|  [existing\_cluster\_new\_job\_existing\_notebooks\_id](#output\_existing\_cluster\_new\_job\_existing\_notebooks\_id) | databricks new cluster job id |

|  [existing\_cluster\_new\_job\_existing\_notebooks\_job](#output\_existing\_cluster\_new\_job\_existing\_notebooks\_job) | databricks new cluster job url |

|  [existing\_cluster\_new\_job\_new\_notebooks\_id](#output\_existing\_cluster\_new\_job\_new\_notebooks\_id) | databricks new cluster job id |

|  [existing\_cluster\_new\_job\_new\_notebooks\_job](#output\_existing\_cluster\_new\_job\_new\_notebooks\_job) | databricks new cluster job url |

|  [instance\_profile](#output\_instance\_profile) | databricks instance profile ARN |

|  [new\_cluster\_new\_job\_existing\_notebooks\_id](#output\_new\_cluster\_new\_job\_existing\_notebooks\_id) | databricks job id |

|  [new\_cluster\_new\_job\_existing\_notebooks\_job](#output\_new\_cluster\_new\_job\_existing\_notebooks\_job) | databricks job url |

|  [new\_cluster\_new\_job\_new\_notebooks\_id](#output\_new\_cluster\_new\_job\_new\_notebooks\_id) | databricks job id |

|  [new\_cluster\_new\_job\_new\_notebooks\_job](#output\_new\_cluster\_new\_job\_new\_notebooks\_job) | databricks job url |

|  [notebook\_url](#output\_notebook\_url) | databricks notebook url |

|  [notebook\_url\_standalone](#output\_notebook\_url\_standalone) | databricks notebook url standalone |
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